Skip to main content
Frontiers in Medicine logoLink to Frontiers in Medicine
. 2019 Nov 27;6:268. doi: 10.3389/fmed.2019.00268

Innovative Molecular Imaging for Clinical Research, Therapeutic Stratification, and Nosography in Neuroscience

Marie Beaurain 1,2,*, Anne-Sophie Salabert 1,2, Maria Joao Ribeiro 3,4,5, Nicolas Arlicot 3,4,5, Philippe Damier 6, Florence Le Jeune 7, Jean-François Demonet 8, Pierre Payoux 1,2
PMCID: PMC6890558  PMID: 31828073

Abstract

Over the past few decades, several radiotracers have been developed for neuroimaging applications, especially in PET. Because of their low steric hindrance, PET radionuclides can be used to label molecules that are small enough to cross the blood brain barrier, without modifying their biological properties. As the use of 11C is limited by its short physical half-life (20 min), there has been an increasing focus on developing tracers labeled with 18F for clinical use. The first such tracers allowed cerebral blood flow and glucose metabolism to be measured, and the development of molecular imaging has since enabled to focus more closely on specific targets such as receptors, neurotransmitter transporters, and other proteins. Hence, PET and SPECT biomarkers have become indispensable for innovative clinical research. Currently, the treatment options for a number of pathologies, notably neurodegenerative diseases, remain only supportive and symptomatic. Treatments that slow down or reverse disease progression are therefore the subject of numerous studies, in which molecular imaging is proving to be a powerful tool. PET and SPECT biomarkers already make it possible to diagnose several neurological diseases in vivo and at preclinical stages, yielding topographic, and quantitative data about the target. As a result, they can be used for assessing patients' eligibility for new treatments, or for treatment follow-up. The aim of the present review was to map major innovative radiotracers used in neuroscience, and explain their contribution to clinical research. We categorized them according to their target: dopaminergic, cholinergic or serotoninergic systems, β-amyloid plaques, tau protein, neuroinflammation, glutamate or GABA receptors, or α-synuclein. Most neurological disorders, and indeed mental disorders, involve the dysfunction of one or more of these targets. Combinations of molecular imaging biomarkers can afford us a better understanding of the mechanisms underlying disease development over time, and contribute to early detection/screening, diagnosis, therapy delivery/monitoring, and treatment follow-up in both research and clinical settings.

Keywords: molecular imaging, clinical research, neurology, psychiatry, PET, SPECT

Introduction

Molecular imaging is the visualization, characterization, and measurement of biological processes at the molecular and cellular levels in humans and other living systems (1). Over the past few years, rapid improvement in molecular imaging has led to gain in specificity and quantification helpful for early diagnosis and disease follow-up, particularly within the field of neurology. A key advantage of in vivo molecular imaging is its ability to identify pathological processes without the need for invasive biopsies or surgical procedures (2).

This imaging technique is currently performed with positron emission tomography (PET) and single-photon emission tomography (SPECT). Several PET and SPECT radiotracers have been developed for neuroimaging applications. The first ones, namely 123I-labeled amines, 99mTc-hexamethylpropyleneamine-oxime (99mTc-HMPAO), and 99mTc-ethyl cysteinate dimer (99mTc-ECD), were developed in the 1990s to measure regional cerebral blood flow in the presurgical evaluation of patients with refractory partial epilepsy (3). The 2000s saw the advent of PET with the use of fluorine-18 fluorodeoxyglucose ([18F]FDG) in clinical routine, for the assessment of cerebral glucose metabolism. As such, it has also been used in the preoperative evaluation of partial epilepsy, but its indications equally include the early diagnosis and differential diagnosis of dementing disorders, differential diagnosis of cerebral space-occupying lesions, detection of viable tumor tissue (recurrence), non-invasive grading, and differentiation between Parkinson's disease and atypical Parkinsonian syndromes (4).

During the past decade, advances in molecular imaging have enabled scientists to focus on specific brain targets, such as receptors, neurotransmitter transporters, or abnormal protein deposits. There are a growing number of radiotracers, which are regarded as valuable tools for many medical imaging applications, including early detection, diagnosis, and treatment follow-up (2). New imaging biomarkers (e.g., amyloid peptide) allow for the diagnosis of neurological diseases at an early stage, thus contributing to the emergence of the concept of preclinical disease (5, 6). Several PET and SPECT radiotracers are used for both routine clinical applications and research that aim to improve the prevention, diagnosis and treatment of brain diseases. For instance, molecular imaging biomarkers can be used for treatment follow-up, or for selecting patients to be included in clinical trials, or for exploring the neurobiological underpinnings of disease progression.

The aim of the present review was to map out the main innovative radiotracers used in neurology, and explain their role in clinical research. We did not explore 11C-labeled tracers in any depth, as they are not widely used for clinical purposes, owing to their short half-life (20 min). We classified the radiotracers according to their target.

Dopaminergic System

Today, the main class of radiotracers targeting neurotransmission is the one that enables the dopaminergic pathways to be explored (7). These molecules allow for the imaging of nigrostriatal neurons and dopamine receptors. They are used as PET or SPECT radiotracers and assist with the diagnosis of Parkinson's disease (PD), other Parkinsonian syndromes, and Lewy body dementia (LBD) (8).

The first radiotracer to be introduced for the non-invasive assessment of nigrostriatal terminals was [18F]-DOPA in 1983 (9). This radiotracer reflects the activity of aromatic amino acid decarboxylase (AADC), an enzyme that converts L-DOPA to dopamine, through its subsequent accumulation in the dopamine neurons (10). Striatal F-DOPA uptake has been found to be closely related to the nigral cell count (11), except at the beginning of the disease as a consequence of functional compensation (F-DOPA uptake is preserved while motor symptoms can be already presents) (12). This molecule has a history of more than 30 years in clinical research and for the diagnosis of PD. However, in the past decade, the clinical practice led to prefer instead tracers targeting the plasma membrane dopamine transporter (DAT). The latter is easier to use and has a high sensitivity for detecting presynaptic dopaminergic degeneration at early-stage of PD. F-DOPA has recently regained interest in the context of regenerative therapy for PD such as the implantation of dopamine cells or the infusion of drugs with regenerating effects into the striatum (13, 14). The purpose of this therapy is to regenerate the dopaminergic presynaptic function by converting L-DOPA to dopamine. In that cases, DAT tracers are considered to be less relevant for measuring therapeutic response than F-DOPA.

As mentioned above, the second presynaptic dopaminergic target is the DAT, located on dopamine nerve cell terminals. In contrast to the AADC, the DAT is only expressed within dopamine neurons. However, the ligands used for its imaging may also bind to related transporters, such as the serotonine reuptake transporter (SERT) or the norepinephrine reuptake transporter (10). In SPECT imaging, several radiotracers have been developed. The most commonly used are the two cocaine derivatives: [123I]-βCIT and [123I]-FPCIT (8). Compared with [123I]-βCIT, [123I]-FPCIT has better selectivity for DAT vs. SERT, and due to its lower DAT affinity, it has better kinetic properties, with a striatal peak time at 148 min after intravenous injection (15). Although direct comparison of FP-CIT SPECT and F-DOPA PET has shown that both FP-CIT SPECT scans and F-DOPA PET scans are able to distinguish patients with PD from healthy controls with high levels of sensitivity and specificity, the decrease in [123I]-βCIT binding more closely mirrors the reduction in dopaminergic neurons than the decrease in F-DOPA uptake does, suggesting that β-CIT binding is a better index of dopaminergic neuron loss (16). These different sensitivity of the two tracers to a reduction in dopamine transmission is linked to differing degrees of decrease in the striatal uptake of the two tracers, with less striatal FP-CIT uptake than F-DOPA uptake at the early phase of disease (17). [123I]-FPCIT was licensed as DaTSCAN (Amersham Health) in Europe in 2000, and is now a frequently used SPECT radioligand in clinical routine, particularly as an ancillary tool for diagnosing patients with movement disorders, but also in clinical research (15). In the latter context, [123I]-FPCIT has been used in numerous studies seeking to determine the sensitivity and specificity of this tracer in the differentiation of several causes of dementia (18), as well as to study variations in DAT density after different treatments, such as antipsychotics in patients with schizophrenia (19), or psychotherapy in individuals with depression (20).

Tropane derivatives have also been labeled with 99mTc: TRODAT-1 has been compared with F-DOPA in patients with PD (21), and may represent a reliable alternative. 99mTc-labeled ligands are less expensive, and may therefore be more easily accessible, and more suitable for routine use (2224).

Another tracer has been developed to image the DAT: PE2I. Like FP-CIT and β-CIT, this molecule is a cocaine derivative, which can be labeled with iodine-123 or−125, carbon-11, or tritium (25). This ligand has about a 30-fold higher affinity for DAT than for SERT, and its lower affinity for DAT makes [123I]-PE2I kinetics better than that of [123I]-FPCIT, with a striatal peak time of 30–60 min. However, despite its favorable properties, [123I]-PE2I is not currently licensed as a SPECT radioligand for clinical use (15).

The excellent properties of PE2I mentioned above recently were exploited to develop a new DAT tracer: LBT-999, exploited by Zionexa, which could be used in future PET explorations using fluorine-18 (2628). Because of its higher resolution, PET imaging is more useful than SPECT for accurate in vivo quantification of DAT density. LBT-999 is a phenyltropane derivative that has demonstrated its suitability for in vivo quantification of DAT in non-human primates (29). An in vivo kinetic study in baboons confirmed that LBT-999 brain uptake is fast, high, and mainly located in the putamen and caudate, with peak uptake in these regions at 30 min postinjection.

A third way of investigating the function of dopamine terminals is to measure the density of vesicular monoamine transporter (VMAT2), which is responsible for taking up neurotransmitters into presynaptic secretory vesicles. Although a majority of VMAT2 are expressed in dopaminergic terminals, this transporter is also located in various monoaminergic neurons, and is involved in the vesicular trapping of a wide variety of neurotransmitters including dopamine, serotonin, norepinephrine, and epinephrine. This target can be investigated with [11C]-DTBZ, or more recently with fluorinated analog [18F]-AV-133, by PET (30). This presynaptic marker follows very typical patterns in several neurodegenerative diseases affecting dopaminergic function, such as PD, LBD, multiple system atrophy (MSA), progressive supranuclear palsy (PSP), and corticobasal syndrome (CBS). Their uptake/binding is altered in several brain areas, depending on the disease and its stage (31). In contrast to AADC activity or DAT binding, it has been suggested that VMAT2 activity is less inclined to changes induced by medication or compensatory mechanisms. However, VMAT2 activity can be impacted by the amount of vesicular dopamine, competing at the recognition site. Hence, the level of VMAT2 binding may decrease with levodopa administration (32). These tracers have a future in early detection/screening, diagnosis, and neuroprotective treatment follow-up of these neurodegenerative diseases, as well as in the monitoring of neural grafted cells after transplantation (8).

Dopaminergic neurotransmission can also be explored by visualizing postsynaptic D2 receptors. The binding potential of these receptors can be assessed using SPECT with the ligands [123I-IBZM and 123I]-IBF, as well as PET with [11C]-raclopride and [18F]-fallypride as radiotracers (Figure 1) (8, 31). The concomitant study of DAT and D2 receptors may improve the diagnostic value of molecular imaging in differentiating between PD and other parkinsonian syndromes (33, 34). Nowadays, however, the measurement of cardiac [123I]-MIBG uptake remains the most frequently used technique to differentiate PD and MSA (35). Molecular imaging of dopamine D2 receptors has also been used to study dopamine's role in drug abuse and addiction (36), and to evaluate several neuropsychiatric disorders (37).

Figure 1.

Figure 1

Comparison of [123I]-IBZM image (A) and [18F]-fallypride image (B) within the same individual.

Key features of all these tracers are summarized in Figure 2 and Table 1.

Figure 2.

Figure 2

Schematic illustration of PET and SPECT techniques for assessing presynaptic and postsynaptic dopaminergic targets. L-DOPA is converted to dopamine by DOPA decarboxylase, then stored in vesicles by a vesicular monoamine transporter. Dopamine reuptake into presynaptic neurons occurs via a dopamine transporter (DAT). Two different types of dopamine receptors are expressed on postsynaptic neurons: D1 and D2.

Table 1.

Main SPECT and PET dopaminergic tracers, molecular strucures, pharmacological properties, and examples of clinical studies.

Compounds Imaging modality Target/ measure Affinity (nM) Clinical studies Compounds Imaging modality Target/ measure Affinity (nM) Clinical studies
Inline graphic
[18F]-DOPA
PET AADC activity Uptake PD (10, 13, 14)
LBD (38, 39)
MSA (40)
PSP (41)
Inline graphic
[11C]-DTBZ
PET VMAT2 density Ki = 2 (42) PD (43, 44)
LBD (44, 45)
MSA (46, 47)
Inline graphic
[123I]-βCIT
SPECT DAT density Ki = 27 ± 2 (DAT)
Ki = 3 ± 0.2 (SERT)
Ki = 80 ± 28 (NET) (48)
PD (4952)
LBD (53)
MSA (34)
Inline graphic
[18F]-AV133
PET VMAT2 density Kd = 0.19 (striatum)
Kd = 0.25 (hypothalamus)(54)
PD (55)
LBD (56)
Inline graphic
[123I]-FPCIT
SPECT DAT density Ki = 3.5 (DAT)
Ki = 9.7 (SERT) (48)
PD (5759)
LBD (60)
MSA (61)
PSP (58)
Inline graphic
[123I]-IBZM
SPECT D2 receptors density Kd = 3.1 ± 0.62
Ki = 0.32 (D2)
Ki = 4143 (D1) (62)
MSA (63, 64)
PSP (63, 65)
Inline graphic
[99mTc]-TRODAT-1
SPECT DAT density Ki = 14.1 ± 2.1 (DAT)
Ki = 360 ± 44 (SERT) (23)
PD (21, 66) Inline graphic
[123I]-IBF
SPECT D2 receptors density Kd = 0.106 ± 0.015
Ki = 0.015 ± 0.002 (D2)
Ki = 820 ± 164 (D1) (67)
MSA (68)
PSP (68, 69)
Inline graphic
[123I]-PE2I
SPECT DAT density Ki = 17 ± 7 (DAT)
Ki = 500 ± 30 (SERT)
Ki >1000 (NET) (25)
PD (70, 71)
LBD (72)
PSP (73)
Inline graphic
[11C]-raclopride
PET D2 receptors density Ki = 7.5 (74) MSA (75, 76)
Inline graphic
[18F]-LBT-999
PET DAT density Kd = 9.15 ± 2.8 (DAT)
IC50 >1000 (SERT and NET) (26)
PD (77)* Inline graphic
[18F]-fallypride
PET D2 receptors density IC50 = 0.6 (78) Epilepsy (79)

Kd, dissociation constant; Ki, inhibition constant; IC50, half maximal inhibitory concentration.

*

Preclinical study.

Amyloid Imaging

β-amyloid (Aβ) plaques in the brain are one of the key histopathologic lesions of Alzheimer's disease (AD) (80). Advances in the understanding of the physiopathology of AD suggest that progressive amyloid accumulation begins during the presymptomatic phase, followed by synaptic dysfunction, tau-mediated neuronal injury, a reduction in brain volume, and finally the emergence of cognitive symptoms, followed by a clinical syndrome of overt dementia (81). This suggest that Aβ imaging is a critical step for the early diagnosis of AD.

These deposits were first imaged in PET in 2002, using a thioflavin-T derivative: 11C-Pittsburgh compound B ([11C]-PIB) (82). Although this is the best known compound, its use is restricted to the research field, owing to the short half-life of 11C. Numerous studies have showed that [11C]-PIB binds to Aβ plaques in several cortical regions in patients with AD (8284). [11C]-PIB binding is correlated with a reduction in cerebrospinal fluid Aβ42 (85), cerebral atrophy (86), and episodic memory impairment in apparently healthy elderly individuals and those with mild cognitive impairment (MCI) (87). These studies have paved the way for the development of several Aβ plaque PET tracers labeled with 18F. To date, three radiopharmaceuticals with equivalent diagnostic performances have been authorized by the European Medicines Agency and the US Food and Drug Administration: 18F-florbetapir, 18F-florbetaben, and 18F-flutemetamol (88) (Table 2).

Table 2.

Main amyloid PET tracer, molecular structures, pharmacological properties, and examples of clinical trials in AD.

Compounds Target/ measure Affinity (nM)(88) Clinical studies in AD
Inline graphic
[11C]-PIB
Aβ plaques (fibrillar oligomer) Ki = 0.9 (8284)
Inline graphic
[18F]-florbetapir
Aβ plaques (aggregated form) Ki = 2.2 (8992)
Inline graphic
[18F]-flutemetamol
Aβ plaques (soluble form) Ki = 0.7 (9395)
Inline graphic
[18F]-florbetaben
Aβ plaques (aggregated form) Ki = 2.4 (9699)

The clinical criteria that are currently used for AD diagnosis have variable specificity and sensitivity, with pooled averages of 70 and 81% (100). A recent review assessing studies published from January 1980 to March 2014 on the diagnostic utility of these three radiotracers demonstrated a pooled weighted sensitivity and specificity of 89.6% and 87.2% for florbetapir, and 89.3 and 87.6% for florbetaben in differentiating patients with AD from age-matched normal controls (101). These results suggest that 18F-labeled tracers have better sensitivity and specificity than clinical diagnosis and other biomarkers commonly used in practice (89), and are comparable to 11C-PiB. They have also been shown to have good patient tolerability (96). However, the extent and distribution of Aβ plaques and amyloid PET tracer binding in patients are only moderately correlated with patterns of neurodegeneration and cognitive deficits (102104). This suggests that Aβ deposition, which is a prerequisite for diagnosing AD, is just the starting-point of a cascade of other neuropathological events, rather than the actual driver of neurodegeneration and clinical disease progression (105).

In this respect, these tracers are chiefly useful for their good negative predictive value. A negative scan (i.e., amyloid burden undetectable or extremely low) is considered to be incompatible with a diagnosis of AD. Although a moderate-to-high amyloid plaque density may point to AD, a positive test is not sufficient to diagnose this disorder, especially in elderly participants. It was in this context that the Society of Nuclear Medicine and Molecular Imaging and the Alzheimer's Association delineated “appropriate use criteria” in 2013, identifying three clinical circumstances in which amyloid PET imaging is recommended to clarify the diagnosis: “Patients with persistent or progressive unexplained mild cognitive impairment”, “Patients satisfying core clinical criteria for possible (as opposed to probable) Alzheimer's disease (i.e., atypical clinical course or etiologically mixed presentation)”, and “Patients with atypically young-onset dementia” (106).

In spite of its excellent diagnostic capacity, the use of amyloid PET imaging in clinical practice is still limited. However, this technique has proved extremely useful in clinical trials. Currently, the treatment options for AD are limited to symptomatic drugs, with no attenuation of the ultimate prognosis (107). Numerous studies are being conducted to find new treatments, as well as to better understand the physiopathology of AD. One of the research approaches to develop new treatments involves targeting the two pathological features associated with AD, namely senile plaques (Aβ) and neurofibrillary tangles (NFTs) composed of aggregates of hyperphosphorylated tau protein in paired helicoid filaments (PHF). According to the amyloid cascade hypothesis, toxic plaques are the earliest manifestation of the disease, a notion supported by evidence of Aβ up to 20 years prior to the onset of symptoms (107). Two main classes of medication are under development as a result: monoclonal anti-amyloid antibodies, and inhibitors of pathogenic cleavage of the amyloid precursor protein (APP). PET amyloid radiotracers in clinical trials evaluating the therapeutic potential of these medications are used for selecting and including patients with significant Aβ, or monitoring disease progression under treatment (108). For example, in an amyloid-based immunotherapy study, PET imaging used for treatment follow-up suggested that anti-amyloid antibodies were more effective in the early stages of amyloid accumulation (108). Soon after this discovery, another study was therefore conducted to study the effect of this class of medication in patients with few or no symptoms (MMSE 20–26) but positive amyloid PET imaging (109). This study failed to show a significant difference in cognitive outcomes between the study group and asymptomatic controls; however other drug studies with similar design using amyloid tracer PET imaging in asymptomatic patients with AD are ongoing.

Tau Imaging

As previously indicated, several studies have reported that Aβ burden is only moderately correlated with glucose hypometabolism, disease severity, progression, and clinical presentation. Furthermore, clinical trials assessing monoclonal anti-amyloid antibodies have mostly failed to show a clinical benefit in AD. The other main histopathological figure of AD, abnormal tau protein aggregates, has therefore be considered with much interest. Several PET radiopharmaceuticals have therefore been developed to accurately target abnormal tau protein conformations. NFTs composed of aggregated hyperphosphorylated tau in paired helicoid filaments are one of the two key neuropathological substrates of AD, along with Aβ plaques (110). Whereas, Aβ levels stabilize at an early stage, the presence and extent of NFTs and neuronal injury increase in parallel with disease duration and severity of symptoms (111). Moreover, tau has been found to be more closely related to memory decline in post mortem studies of AD than amyloid pathology (112). Abnormal aggregation of tau protein has also been observed in the pathophysiology of other neurodegenerative diseases, including frontotemporal dementia (FTD), CBS, PSP and, to a smaller extent, LBD; the abnormal conformation of tau in these diseases are distinct from that observed in AD which involves paired helicoid filaments (PHF). These pathologies are collectively known as tauopathies. These tauopathies differ by the isomeric form and ultrastructural morphology of aggregated tau, affected brain regions, and spatial patterns of tau accumulation (110).

Over the past few years, six promising tau imaging agents have been developed: [11C]-PBB3, [18F]-AV-1451 (or flortaucipir, previously known as T807), [18F]-T808, and the THK family [18F]-THK523, [18F]-THK5105, and [18F]-THK5351. These radiotracers have been synthesized, using structure–activity relationship software, from N-benzylidene-benzohydrazide compounds used for the detection of tau-paired helical filament (PHF) (88).

One of the first radiotracers developed for tau imaging was [18F]-FDDNP. This tracer is rapidly metabolized in hydrophilic compounds that cross the blood brain barrier (BBB), resulting in non-specific binding and therefore significant background noise. Furthermore, this tracer is not specific to NFTs, but also has an affinity for Aβ plaques, meaning that it is not the best choice for tau assessment (88, 113, 114).

The first tau-selective radioligand, [18F]-THK523 was synthesized by Okamura et al. (115), and its selectivity for phosphorylated tau was confirmed in post mortem studies, as well as in several in vitro, ex vivo, and in vivo experiments (116). However, this tracer is not able to bind to tau aggregates in non-AD tauopathies such as PSP and CBD, and is characterized by high retention in white matter (117, 118). New THK compounds have since been developed: [18F]-THK5105, [18F]-THK5117, and [18F]-THK5351. The latter has better kinetics, less white matter binding, and a higher affinity for tau than [18F]-THK523 (119). However, it also binds to MAO-B sites, and has a lower binding level in AD than AV-1451 does (110).

[11C]-PBB3 is another tau radiotracer with a high affinity for NFTs, a low level of white matter binding, good BBB penetration and rapid washout. The peculiarity of [11C]-PBB3 is its affinity for the tau isoforms of several non-AD tauopathies. However, it metabolizes to a radiolabeled compound that can cross the BBB, thus limiting its quantification (110).

[18F]-T807 ([18F]-AV1451 developed by Lilly Research Laboratories) and [18F]-T808 belong to the benzimidazole pyrimidine family. They have a nanomolar affinity for the tau PHF found in AD, and are 25 times more selective for tau PHF than for Aβ (120, 121). Today, [18F]-AV-1451 is the most widely used tau radioligand. Like [11C]-PBB3, it has low retention in white matter. Several clinical studies have shown a close correlation between [18F]-AV1451 binding and the neuropathological stages of tau (122), cognitive decline and tau levels in cerebrospinal fluid (123, 124). However, a recent autoradiographic evaluation of AV1451 reported a lower level of binding in non-AD tauopathies, as well as off-target binding in the basal ganglia and substantia nigra in the absence of tau pathology (125).

Recently, another radioligand ([18F]MK-6240, developed by Merck laboratories) was administered to patients with AD with promising results. This tracer showed a high specificity and selectivity for NFTs, good pharmacokinetic properties, and no apparent off-target binding, in contrast to [18F]-AV-1451 (110, 126128).

As a link has been demonstrated between NFTs and AD symptoms, tau PET tracers are increasingly being used in AD clinical trials, especially those investigating drugs to reduce the tau or Aβ burden (129), such as Aβ monoclonal antibodies. The indirect effect of reducing Aβ on the rate of PHF deposition downstream further supports the amyloid hypothesis, and tau PET imaging may highlight the presumptive disease-modifying impact of these drugs. Furthermore, as tau monoclonal antibodies are designed and investigated, tau PET imaging will be helpful in demonstrating and quantifying the engagement of the molecular target. Many trials currently use cerebrospinal fluid (CSF) biomarkers of tau and phosphorylated tau to detect target engagement, but there are few data on how CSF biomarkers and tau PET imaging correlate. Tau PET imaging may also help to confirm that changes in tau deposition are correlated with clinical disease progression (130). Several tau vaccines have shown efficacity and safety in animal models (131). In a recent study, an anti-tau drug exhibited a good safety profile and even stimulated a positive immune response in human patients (132). Several other early-phase trials of drugs that target tau protein are currently underway, although the results are yet to be published (133).

In this context, like amyloid tracers, tau radioligands (summarized in Table 3) have an important role to play in clinical studies assessing new treatments and measuring disease progression.

Table 3.

Main tau PET tracers, molecular structures, pharmacological properties, and examples of clinical studies.

Compounds Target/measure Affinity (nM) Comments Clinical studies
Inline graphic
[18F]-flortaucipir(AV1451, T807)
PHF-tau Kd = 14.6 (88) 25 time more selective for tau PHF than for Aβ.
Low retention in white matter.
Off-target binding has been reported in the basal ganglia and substantia nigra in the absence of tau pathology.
AD (134137)
Inline graphic
[18F]-T808
PHF-tau Kd = 22 (138) Slow metabolic defluorination (139) AD (120)
Inline graphic
[18F]-THK523
PHF-tau Kd = 86 (88) 12-fold selectivity for tau over Aβ.
High retention in white matter.
AD (118)
Inline graphic
[18F]-THK5117
PHF-tau Kd = 5.19 (88) High binding
selectivity to tau over Aβ.
Substantial white matter binding.
AD (140)
Inline graphic
[18F]-THK5105
PHF-tau Kd = 2,63 (88) Higher binding affinity to tau fibrils than to Aβ1–42 fibrils (Kd = 35.9 nM) (141)
Substantial white matter binding.
AD (115, 142)
Inline graphic
[18F]-THK5351
PHF-tau Kd = 2.9 (88) Low binding affinity for white
matter, and rapid pharmacokinetics.
It also bind to MAO-B sites (110)
AD (119)
Inline graphic
[11C]-PBB3
PHF and non-PHF tau Kd = 100 (88) 40–50 fold higher affinityfor NFTs than for Aβ, rapid washout, minimal white matter binding, but it metabolizes to a radiolabeled compound that cross the BBB (110) AD (143), PSP (144), Amyotrophic lateral sclerosis/parkinsonism dementia complex [ALS/PDC (145)]
Inline graphic
[18F]-MK6240
PHF-tau Ki = 0.36 ± 0.8 (88) Poor affinity for Aβ plaques (Ki = 10 μM) (127)
No apparent off-target binding.
AD (128)

Neuroinflammation

Neuroinflammation is an inflammatory and adaptive response within the central nervous system, and depends on several processes mediated by neuronal cells such as astrocytes, as well as by non-neuronal cells such as the brain's resident macrophages and microglia.

Although initiation of an inflammatory response may be beneficial in response to injury of the nervous system, chronic or maladaptive neuroinflammation can have harmful outcomes in many neurological diseases. During inflammatory processes, cytokines, chemokines and reactive oxygen species (ROS) are produced by glial cells, and all these molecules can be targeted by molecular imaging (146).

The main target for imaging neuroinflammation is currently translocator protein (TSPO) overexpression in activated microglia. TSPO is a highly hydrophobic protein that is mainly situated in the outer mitochondrial membrane. Classically not present in healthy brain parenchyma, TSPO has been widely identified in microglial cells in dementia neuropathology, which involves neuroinflammatory processes and microglial activation. The most widely used TSPO PET radiopharmaceutical tracer used to be [11C]-(R)-PK11195. A new generation of fluorinated tracers has been developed in the past decade (147, 148), with different compound families such as phenoxyarylacetamides derivatives ([18F]-FEDAA1106, [18F]-FEPPA, [18F]-PBR06), imidazopyridine derivatives ([18F]-PBR111), and pyrazolopyrimidine derivatives ([18F]-DPA-714) (Figure 3). However, while these fluorinated compounds have turned out to be more sensitive and specific, with a clear improvement in the signal-to-noise ratio, a major additional problem has been identified, in the shape of a polymorphism in the TSPO gene (rs6971) that affects TSPO binding, with a significant impact on its visualization and its quantification. To circumvent this drawback, a new generation of rs6971-insensitive TSPO radioligands have been developed, such as flutriciclamide ([18F]-GE180) (149), and this latest generation of tracers is currently under evaluation (150).

Figure 3.

Figure 3

[18F]-DPA-714 images obtained from two clinical studies: (A) Comparison between Amyotrophic Lateral Sclerosis (ALS) patients and healthy individuals, and (B) stroke patient.

Other PET tracers of gliosis have been tested, such as [11C]-DED, which binds to MAO-B, and some results in transgenic animals (151) seem to indicate that gliosis occurs early in AD and precedes the deposition of Aβ senile plaque. Cyclooxygenase was also investigated by Shukuri et al. (152), who showed that [11C]-ketoprofen methyl ester, a specific tracer of COX1, is useful for imaging cerebral inflammation in injured rats, with very different kinetics from TSPO tracers. However, a study in humans with this ketoprofen derivative in 2016 (153) failed to yield positive results, suggesting that COX1 expression is more specific for acute inflammation than for chronic inflammation.

Recently, researchers have shown increasing interest in the ROS system. In cardiology, [18F]-DHMT makes it possible to visualize early ROS activation prior to ventricular function deterioration induced by doxorubicin toxicity (154). In neurology, [18F]-ROStrace, a tracer trapped in the brain when it is metabolized by ROS is currently being assessed in models of AD, PD and other neurodegenerative diseases (155).

These tracers are summarized in Table 4.

Table 4.

Main PET tracers for neuroinflammation imaging, molecular structures, pharmacological properties, and examples of clinical studies.

Compounds Target/measure Affinity (nM) Clinical studies Compounds Target/ measure Affinity (nM) Clinical studies
Inline graphic
[11C]-(R)-PK11195
TSPO density Ki = 9.3 in rat (156) AD (157, 158), PSP (157), multiple sclerosis (MS), PD, ALS, HI,
Rasmussen's encephalitis, Herpes encephalitis, Schizophrenia (156)
Inline graphic
[18F]-DPA714
TSPO density Ki = 7.0 in rat (156) AD (159, 160)
Inline graphic
[18F]-FEDAA1106
TSPO density Ki = 0.078 in rat (156) AD (161)
MS (162)
Inline graphic
[18F]-GE180
TSPO density Kd = 0.87 in rats (163) MS (164)
Inline graphic
[18F]-FEPPA
TSPO density Ki = 0.07 in rat (156) AD (165) Inline graphic
[11C]-DED
MAO-B activity NA AD (166)
Inline graphic
[18F]-PBR06
TSPO density Ki = 0.30 in monkey (156) MS (167) Inline graphic
[11C]-ketoprofen methyl ester
COX-1 IC50 = 47 (COX-1)
IC50 = 2.9μM (COX-2) (152)
AD (153)
Inline graphic
[18F]-PBR111
TSPO density Ki = 3.70 in rat (156) MS (168)
Schizophrenia (169)
Epilepsy (170)
Inline graphic
[18F]-ROStrace
ROS activity NA Preclinical studies

Glutamate Receptors

Glutamate is the most abundant excitatory neurotransmitter, and glutamate receptors (GluRs) are implicated in plenty of neurological functions within the central nervous system (CNS). GluRs are classified into two groups: ionotropic receptors (iGluRs) and metabotropic receptors (mGluRs). iGluRs form ligand-gated ion channels and are divided into three subtypes based on their pharmacological properties: NMDA (N-methyl-D-aspartate receptors, NMDARs), AMPA (α-amino-3-hydroxy-5-methylisoxazole-4-proprionic acid) receptors, and kainate receptors. mGluRs are G-protein coupled receptors and include eight receptor subtypes, classified into three groups according to their sequence homology, signal transduction, and pharmacological profiles. Group I is comprised of mGluR1 and mGluR5, group II includes mGluR2 and mGluR3, and group III contains mGluR4, mGluR6, mGluR7, and mGluR8 (171). A dysfunction of these receptors may be involved in the pathophysiology of numerous brain disorders. Several PET and SPECT probes have been developed for GluRs imaging (Table 5).

Table 5.

Main SPECT and PET glutamatergic tracers, molecular structures, pharmacological properties, and examples of clinical studies.

Compounds Imaging modality Target/ measure Affinity (nM) Clinical studies Compounds Imaging modality Target/ measure Affinity (nM) Clinical studies
Inline graphic
[123/125I]-CNS-1261
SPECT NMDARs density Ki = 4.2 (171) Schizophrenia (172, 173) Inline graphic
[18F]-FIMX
PET mGlu1Rs density IC50 = 1.8 (171) (174)
Inline graphic
[18F]-GE-179
PET NMDARs density Ki = 2.4 (171) - Inline graphic
[18F]-FPEB
PET mGlu5Rs density Ki = 0.2 (171) PD (175), alcohol dependence (176), depression (177), autism (178)
Inline graphic
[18F]-FNM
PET NMDARs density Ki = 3500 (179) Tourette's syndrome (GlutaTour project, ToNIC TMBI) Inline graphic
(E)-[11C-]ABP688
PET mGlu5Rs density Kd = 5.7 (171) Cocaine addiction (180), depression (181), FTD (182), alcohol dependence (183)
Inline graphic
[11C]-ITMM: R = O11CH3
[11C]-ITDM: R = 11CH3
PET mGlu1Rs density Ki = 12.6 ([11C]-ITMM) (171) (184) Inline graphic
[18F]-PSS232
PET mGlu5Rs density Ki = 1 (E-isomer) (185) (186)
Ki = 13.6 ([11C]-ITDM) (171) Preclinical studies Inline graphic
[11C]-JNJ42491293
PET mGlu2Rs density IC50 = 9.2 (171) (187)

NMDARs

Linked to ligand- and voltage-gated ion channels, NMDARs play an important role in many biological functions, including neurotransmission, neuroprotection, neurodegeneration, long-term potentiation, memory, and neurogenesis (188). These receptors are heteromeric multimers composed of one GluN1 (NR1 subunit) and combinations of GluN2 (NR2 subunits) (189) and GluN3 (NR3 subunits) (190). NR2 subunits come in four subtypes (A D) that determine the type of receptor, with A and B being the most widespread. NR2B subunits, preferentially expressed on primary afferent fibers (PAFs), play a particular role in the transmission of pain messages (191). NMDARs activation requires several types of agonists interacting in cooperation and the simultaneous presence of strong membrane depolarization. Furthermore, NMDARs activation is modulated by extracellular Mg2+, which exerts a voltage-dependent blockade of the open ion channel (192). First, two co-agonists, glutamate and glycine, have to simultaneously bind to their respective sites. Membrane depolarization then causes the release of Mg2+ from the channel to allow for the intraneuronal entry of calcium, the starting point for the synthesis of second and third messengers [e.g., prostaglandins and nitric oxide (NO)] (193). Under physiological conditions of synaptic transmission, NMDARs are activated for only brief periods of time. However, in pathological circumstances, their overactivation causes excessive Ca2+ influx into nerve cells, and can lead to cell death (194). This abnormal mechanism mediates excitotoxic neuronal injury after acute brain damage (195) and is thought to contribute to disorders of neuronal hyperexcitability (e.g., epilepsy) and chronic neurodegenerative (e.g., AD, Huntington's) (196) and psychotic (197) disorders. Several tracers have been synthesized in order to better understand the physiopathology of these diseases. Most of them are phencyclidine site ligands (PCP) that selectively bind to ion channels in the open and active state. These tracers thus make it possible to visualize only activated NMDARs. Several 123I-, 125I-, 11C-, or 18F-labeled SPECT/PET radiotracers have been developed, based on phencyclidine (PCP), thienylcyclohexyl piperidine (TCP) (198, 199), ketamine (200), memantine (201, 202) or MK-801 (203, 204), as these ligands are known to inhibit the intrachannel PCP sites of NMDARs. Although most of these radiotracers have been found to cross the BBB, none of them have detectable specific binding in vivo, owing to high non-specific binding, poor brain retention, or insufficient affinity for the small number of specific binding sites (205, 206). To our knowledge, only few NMDARs radiotracers have been used in human studies. The diarylguanidine analog, [123I]-CNS-1261 exhibited limited success in a clinical study of patients with schizophrenia (207). In PET imaging, despite encouraging results (208), a recent preclinical study using [18F]GE-179 was unable to demonstrate displaceable in vivo binding that would have been evidence of an in vivo activity-dependent NMDA signal in rats and primates (209211). Recently, a new [18F]-labeled derivative of memantine, [18F]-fluoroethylnormemantine ([18F]-FNM), was synthesized. In vivo evaluation of this novel PET tracer has yielded encouraging results (179, 212), and it had been injected for the first time into humans, in a pilot study to explore the glutamatergic system in patients with Tourette syndrome (GlutaTour project, ToNIC TMBI) (Figure 4).

Figure 4.

Figure 4

Images from first-in-man injection of [18F]-FNM in a Tourette's syndrome patient (GlutaTour project).

Other NMDAR binding sites, such as the glycine and NR2B sites located on the receptor's extracellular domain, have been the subject of various studies aimed at developing new tracers. However, radiotracer development for these targets has so far been unsuccessful, owing to the ligands' suboptimum physiochemical and pharmacological characteristics, such as affinity, lipophilicity, stability, BBB penetration and pharmacokinetics (171, 205, 206, 213215).

mGluR

Group I

Group I mGluRs, predominantly expressed postsynaptically, are involved in modulation of synaptic plasticity, and their activation leads to increased neuronal excitability. They are implicated in the physiopathology of several neurological and psychiatric disorder, such as PD, motor dysfunction, multiple sclerosis, epilepsy and stroke, and are the target of recently developed PET probes (171).

mGluR1

mGluR1 are found extensively throughout the brain, but are highly expressed in the cerebellar cortex, hippocampus and thalamus. mGluR1 antagonists have shown promising anxiolytic and antidepressant effects, whereas positive modulators of mGluR1 have been reported to be useful for the treatment of schizophrenia (171). Among all developed molecules to image them, only two radioligands have been injected into humans. The first is [11C]-ITMM. In vitro and preclinical studies found that this ligand had high affinity and selectivity for mGluR1, and displayed high brain uptake, with highest uptake in the cerebellum (richest mGluR1 area). This cerebellar uptake has also been observed in human PET studies, however, [11C]-ITMM showed relatively low uptake in the brain regions with modest expression of mGluR1, such as thalamus, hippocampus, and cerebral cortex, making it difficult to examine target density in these regions (184). Nevertheless, [11C]-ITMM could be used to evaluate alterations in cerebellar mGluR1 under pathological conditions, and further clinical studies may be needed to assess the usefulness of this radioligand as a PET probe for mGluR1 quantification. [11C]-ITDM, an analog of ITMM, was considered superior to [11C]-ITMM after in vivo studies in monkeys because of its higher regional distribution volume in the mGluR1-rich region (216). To our knowledge, clinical PET studies with this radiotracer have not been published.

Finally, [18F]-FIMX, is the second high affinity mGluR1 radioligand injected into humans. The rank order of this tracer uptake correlated well with mGluR1 expression levels in the human brain, with a highest uptake in the cerebellum (174).

mGluR5

mGluR5 are found in the cerebral cortex, hippocampus, accessory olfactory bulbs, and nucleus accumbens (171). In physiological conditions, mGluR5 activates an intracellular cascade by second messenger processes and modulates functions as diverse as memory, anxiety, or learning. It has been demonstrated that the disruption of brain homeostasis in pathological conditions causes hyperactivation of mGluR5, which then contributes to excitotoxicity. mGluR5 dysregulation is therefore implicated in a broad variety of neuropsychiatric disorders and mGluR5 is recognized as a relevant molecular biomarker of glutamate pathology in these diseases. PET imaging of mGluR5 has expanded in recent years and has contributed to go deeper in the pathophysiology of brain diseases and to better evaluate new treatment strategies. Several PET radioligands targeting mGluR5 have been synthetized (205, 217) and the most promising candidates are currently being investigated in several preclinical and clinical studies.

[18F]-FPEB has been developed by Merck Research Laboratories and, regarding its high specificity and selectivity for mGluR5, together with a suitable brain kinetics (218, 219), has been extensively used to investigate mGluR5 density in neurological disorders. In neurology, [18F]-FPEB has shown mGluR5 upregulation in Parkinson's Disease (220), but recent main contributions of [18F]-FPEB imaging are about psychiatry and addictions. Thus, Leurquin-Sterk et al. studied the effects of acute alcohol intake on the glutamatergic system (221), and demonstrated that mGluR5 availability was lower in limbic regions of alcohol-dependent subjects than in healthy controls, suggesting that limbic mGluR5 was involved in a compensatory mechanism helping to reduce craving during abstinence (176). The alteration of mGluR5 availability was also demonstrated in posttraumatic stress disorder, with a higher cortical [18F]-FPEB in vivo binding that was positively correlated with avoidance symptoms (222). Besides, [18F]-FPEB PET imaging did not find any mGluR5 contribution in Major Depressive Disorder (177), whereas, considering neurodevelopmental diseases, an increased [18F]-FPEB binding was observed in postcentral gyrus and cerebellum of male individuals with autism Specter disorder (178).

[11C]ABP688 is a selective, high-affinity mGluR5 antagonist widely used in mGluR5 clinical PET imaging (223, 224). Recently, [11C]ABP688 revealed in vivo evidence of reduced availability of mGluR5 in behavioral variant frontotemporal dementia (182) and in focal cortical dysplasia, in tissue resected from epilepsy patients (225). Whereas, Akkus et al. reported no significance difference in [11C]ABP688 binding in individuals with schizophrenia compared with healthy controls (226), a multi-modal imaging approach, combining mGluR5 PET imaging with [11C]ABP688 together with fMRI reported a lower mGluR5 availability and related functional connectivity alterations in drug-naïve young adults with major depression (227). Esterlis et al. confirmed this hypothesis and objectified an antidepressant response of ketamine through a change in [11C]ABP688 binding that was associated with a significant reduction in depressive symptoms following ketamine administration (228). In alcohol consumption abuse, [11C]ABP688 evidenced altered mGluR5 signaling in the amygdala, that was correlated with the temptation to drink (183).

Regarding the limitations in clinical availability of [11C]ABP688, due to the short physical half-life of carbon-11, fluorinated ABP688 derivatives have been proposed, including the promising radioligand [18F]PSS232. After a preclinical validation evidencing specific and selective in vitro and in vivo properties (185), Warnock et al. reported recently the first-in-human evaluation of this tracer, highlighting in healthy volunteers a favorable brain uptake pattern and kinetics of [18F]PSS232 (186).

These clinical studies, with sometimes ambiguous or even discordant results, must be put in perspective with regard to the influence of the intrasynaptic concentration in endogenous glutamate on the binding of radioligands. For that purpose, pharmacological challenges have been performed in both preclinical and clinical settings, using several glutamate modulators, including ceftriaxone, a potent GLT-1 activator that decreases extracellular levels of glutamate, N-acetylcysteine (NAC), a promoter of the cysteine–glutamate antiporter that increases extrasynaptic glutamate release, and ketamine, an NMDA glutamate receptor antagonist, that increases glutamate release when administered at subanesthetic doses. To date, these pharmacological explorations remain equivocal according to: 1- the pharmacological compound used; 2- the tested radioligand; 3- the studied species (rodents, non-human primates, or human subjects). Thus, whereas ketamine administration decreases [11C]ABP688 binding in vivo in human subjects (229), this result has not been confirmed in rats (230). On the other hand, [18F]PSS232 binding appears to be not impacted to neither acute glutamate shifts after stimulation with N-acetylcysteine (NAC) in human (231) nor ketamine and ceftriaxone infusions in the rat brain (232). This parameter has to be considered carefully to accurately quantify mGluR5 expression in vivo using PET.

Group II and III

Group II and III mGluRs are mostly located within presynaptic regions and involved in the inhibition of neurotransmitter release. Of all the subtypes, only an mGluR2 tracer has been the subject of a human PET study. [11C]JNJ42491293 is a selective, high-affinity radioligand for the positive allosteric modulator (PAM) site of mGluR2. This site is a potential target for treating anxiety, schizophrenia or addiction. In the first human study, its in vivo distribution was consistent with known mGluR2 expression patterns (highest uptake in the striatum and cerebellum) (187). Unfortunately, recent experiments showed an off-target binding in vivo and [11C]JNJ42491293 was considered unsuitable for in vivo imaging of mGluR2 (233).

Cholinergic System

The cholinergic system is well known to be involved in cognitive function, and cholinergic dysfunction has been shown to play a key role in the physiopathology of dementia. Targets have been identified by post mortem studies, which have highlighted alterations in functional components of the cholinergic system (234). These include both presynaptic dysfunction [e.g., in acetylcholinesterase (AChE) or vesicular acetylcholine transporters (VAChTs)] and postsynaptic dysfunction [e.g., in nicotinic acetylcholine receptors (nAChR) or muscarinic acetylcholine receptors (mAChR)] (235, 236). Several radiotracers (summarized in Figure 2) have been developed for each of these targets.

There are two PET tracer substrates for AChE: [11C]-PMP and [11C]-MP4A. These have been used in several clinical studies over the past two decades to highlight modifications in AChE activity in patients with AD, PD, PSP or LBD (237242). [11C]MP4A has a high specificity for AChE, but also a high rate of hydrolysis by this enzyme, and radioligand uptake in regions with high AChE activity is therefore strongly dependent on the rate of transport into the brain (243). By contrast, [11C]PMP exhibits a hydrolysis rate that is three to four times slower than that of [11C]MP4A, allowing for more precise estimates of AChE activity in regions of moderate-to-high AChE concentration (244). Presynaptic cholinergic terminal density can also be assessed with selective radioligands for presynaptic VAChTs. This has been done in clinical studies with [123I]-IBVM (237, 245) and, more recently, in PET imaging with [18F]FEOBV (246). [18F]FEOBV exhibits lower binding in the mesopontine junction and medulla than [123I]IBVM, providing a robust index of VAChT binding (247).

Postsynaptic cholinergic dysfunction has been assessed in patients with AD, using (S)-[11C]nicotine (248250). However, these [11C]nicotine studies were hindered by high levels of non-specific binding, rapid metabolism, and washout from the brain, as well as a strong dependence on cerebral blood flow (234). New PET and SPECT radioligands have recently been developed to target α4β2 nAChR, which is the most severely affected receptor subtype in AD, with reductions of up to 50% in the neocortex, entorhinal cortex and hippocampus (251). Some clinical studies using either the SPECT tracer [123I]-5IA, or the PET tracer [18F]-2FA, in patients with AD have highlighted significant reductions in α4β2 nAChR in several brain areas, correlated with cognitive impairment (252, 253). Furthermore, another study found a negative correlation between α4β2 nAChR availability and Aβ load (measured by [11C]-PIB), suggesting that Aβ deposition induces the degeneration of cholinergic neurons (254). It was suggested 10 years ago that the α7 nAChR subtype plays a neuroprotective role, by modulating the neurotrophic system that is needed to maintain cholinergic neuron integrity, and by stimulating signal transduction pathways that support neuron survival. In AD, α7 nAChR is implicated in Aβ toxicity and tau phosphorylation (255). Moreover, deletion of the α7 nAChR gene has been shown to reduce cognitive impairment in animal models of AD (256). Further PET studies using radioligands specific to the α7 nAChR, such as [18F]ASEM, are needed to determine the relationship between α7 nAChR and AD pathology (234).

In PD, LBD or PSP, mAChR has also been imaged with [123I]QNB and [11C]NMPB (257, 258), which are high-affinity mAChR antagonists with similar chemical structures and regional brain distributions. These radiotracers are able to penetrate the BBB efficiently, but non-specifically in relation to the mAChR subtype (234).

All these cholinergic tracers are resumed in Figure 5 and Table 6.

Figure 5.

Figure 5

Schematic illustration of the main cholinergic PET and SPECT radioligands, and their presynaptic or postsynaptic targets. Acetylcholine (ACh) is synthesized by choline acetyltransferase from choline and acetylCoA. ACh is released into the synaptic cleft, where it can bind to two types of receptors expressed on postsynaptic neurons: nicotinic receptors (nAChR) and muscarinic receptors (mAChR). ACh is degraded to choline and acetate by acetylcholinesterase (AChE). The reuptake of choline into presynaptic neurons occurs via a choline transporter. Choline is recycled within presynaptic neurons to form ACh, and stored in vesicles by a presynaptic vesicular ACh transporter (VAChT).

Table 6.

Main SPECT and PET cholinergic tracers, molecular structures, pharmacological properties, and examples of clinical studies.

Compounds Imaging modality Target/ measure Affinity (nM) Clinical studies Compounds Imaging modality Target/ measure Affinity (nM) Clinical studies
Inline graphic
[11C]-PMP
TEP AChE activity NA AD (237, 239, 240, 259), PD (239) Inline graphic
[123I]-5IA
SPECT α4β2 nAChR density Kd = 0.011 in rats (260) AD (252)
Inline graphic
[11C]-MP4A
TEP AChE activity NA AD (242), PD (238, 241), LBD (261), PSP (238) Inline graphic
[18F]-2FA
TEP α4β2 nAChR density Ki = 0.046 in rats (262) AD (253)
Inline graphic
[123I]-IBVM
SPECT VAChT density IC50 = 2.5 ± 0.2 in rats (263) MSA (245) Inline graphic
[123I]-QNB
SPECT mAChR density IC50 = 0.8 in mouse (264) AD (265), PD, LBD (258)
Inline graphic
[18F]-FEOBV
TEP VAChT density AD (266), LBD (246) Inline graphic
[11C]-NMPB
TEP mAChR density IC50 = 1.8 in mouse (264) AD (267), PD, PSP (257)
Inline graphic
[11C]-nicotine
TEP α4β2 nAChR density Kd = 2.4 in rats (268) AD (248250) Inline graphic
[18F]-ASEM
TEP α7 nAChR density Ki = 0.3 in HEK293 cells stably transfected with rat α7 nAChR (269) Schizophrenia (270)

GABAA Receptors

γ-Amino butyric acid (GABA), is the predominant inhibitory neurotransmitter in the central nervous system. This neurotransmitter is able to bind to two types of receptor: ionotropic GABAA/C and metabotropic GABAB. GABAA receptors, also known as the central benzodiazepine receptor, are found on most neurons in the brain, and are part of a superfamily of ligand-gated ion channels. They have a primary binding site for GABA, as well as multiple allosteric modulatory sites. When benzodiazepines, or other allosteric modulators such as barbiturates, bind to GABAA receptors, conformational changes increase the permeability of the central pore to chloride ions, resulting in a chloride flux that hyperpolarizes the neuron (271). GABAA receptors can be composed of several subunit isoforms (272), but only pentamers containing α1, α2, α3, α4, or α5 subunits are benzodiazepine sensitive. These various subunits have a region-specific distribution in the brain, and are believed to subserve different functional and physiological roles and mediate a variety of pharmacological effects. Impairment of GABAA receptor function is increasingly recognized to play a major role in the pathophysiology of several neuropsychiatric diseases such as AD, epilepsy, panic disorders, major depression, cortical brain damage following an acute stroke, anxiety disorders, and chronic alcohol dependency (273). Radiotracers that bind to benzodiazepine sites on GABAA receptors (GABAA-BZ sites) have been shown to be useful for investigating these disorders (274). The first molecules developed for GABAA receptor imaging was carbon-11 labeled benzodiazepines such as [11C]flunitrazepam, [11C]diazepam, or [11C]fludiazepam, but the lack of specificity and in vivo affinity of these ligands (Kd ≥ 10 nM) did not allow accurate determination of GABAA receptor density (275). The triazolobenzodiazepine [11C]alprazolam have also been investigated. Despite an increased affinity (Kd = 3.4 nM), PET studies in six healthy volunteers showed a low extraction into brain (<1% of injected dose), and a substantial depot effect probably into the lungs (276). Finally, the imidazobenzodiazepine flumazenil (Ro 15-1788 or N-methyl-11C]flumazenil), became the most commonly used radioligand for GABAA receptor imagingand is still extensively used to quantify benzodiazepine binding in the human brain (277279). It was used to measure changes in GABA levels (280), as well as to quantify BZ receptors density in the epileptic foci of patients with partial epilepsy (281283), in schizophrenic patients (284), neuronal loss in stroke (285), and more recently as a tool in clinical research to evaluate GABAA receptor occupancy using molecules with potential anxiolytic properties (286). [123I]iomazenil, a iodo-analog of flumazenil with very similar binding profile, has also been widely used in clinical studies (287289).

[11C]Ro15-4513 is a partial inverse agonist at the GABAA-BZ site, preferentially targeting α5 subunits (290, 291). Like the previous ones, this tracer has also been used in clinical studies to understand the precise involvement of GABAA receptors in different neuropsychiatric diseases and the relationship between GABAA receptor density and clinical symptoms (292, 293).

Several attempts of fluorine-18 labeling of flumazenil were performed. Thus, [18F]-FEF, [18F]-FFMZ, and [18F]-flumazenil have been tested. Studies have demonstrated the superiority of [18F]-flumazenil because of a higher affinity and lower levels of radiometabolites in brain (275, 294). Because of the longer half-life of the isotope, this tracer could become the “gold standard” in benzodiazepine PET studies.

The development of GABAA radioligands (summarized in Table 7) need several improvements. Several improvements are needed. First, is to develop receptor subtype specific radioligands such as [11C]Ro15-4513. Radioligands specific for all the GABAA receptor subtypes would be of great importance to PET imaging. The second important enhancement is to develop and apply full agonist radioligands sensitive to changes in endogenous neurotransmitter levels. Finally, development of radiotracers specific to other sites than the BZ binding site will be important in order to further investigate GABAA pharmacology as well as to investigate the role of GABAA receptors in various disease staFinally, development of radiotracers specific to other sites than the BZ binding site will be important in order to further investigate GABAA pharmacology as well as to investigate the role of GABAA receptors in various disease states (275).

Table 7.

Main radioligands for GABAA receptors imaging, molecular structures, pharmacological properties, and examples of clinical studies.

Compounds Imaging modality Target/ measure Affinity (nM) Clinical trials
Inline graphic
[11C]-FMZ
PET GABAA-BZ sites (α1, α2, α3, and α5 subunits) Ki ≈ 1.3 (BZRs containing α1, α2, α3, or α5 subunits)
Ki ≈ 150 (BZRs containing α4, or α6 subunits) (295)
Epilepsy (281283)
Stroke (285)
Schizophrenia (284)
Inline graphic
[123I]-IMZ
SPECT GABAA-BZ sites Ki = 0.47 (in primates) (296) Stroke (287)
Epilepsy (288)
Anorexia nervosa (289)
Inline graphic
[11C]Ro15-4513
PET GABAA-BZ sites
α5 subtype
Ki = 0.3 (BZRs containing α5 subunits) (290) Alcohol dependence (292)
Schizophrenia (293)
Autism (297)
Inline graphic
[18F]-flumazenil
PET GABAA-BZ sites Epilepsy (298, 299)

Serotoninergic System

The serotonergic system plays an important modulatory role in many central nervous system functions. It is the target of many drugs commonly used to treat brain disorders, either through reuptake blockade or via interactions with serotonin (5-HT) receptors. Serotonergic dysfunction has been involved in the etiology of many psychiatric disorders, including depression, anxiety and schizophrenia, as well as neurological diseases such as AD and epilepsy. Currently available radiotracers for in vivo brain imaging of the 5-HT system in humans include radioligands for the 5-HT1A, 5-HT1B, 5-HT2A and 5-HT4 receptors, and for the 5-HT transporter (SERT) (300).

The 5-HT1A receptor is one of the most extensively studied receptors in the serotonergic family. Like most 5-HT receptors, it is a G protein-coupled receptor (GPCR) with seven membrane-spanning domains. It serves as an inhibitory autoreceptor in the raphe nuclei, and is targeted by serotonin reuptake inhibitors. It also plays a role with 5-HT4 and 5-HT6 receptors in learning and memory (301, 302). Several radioligands have been synthesized up to now, but only three are in frequent use in clinical studies. The two most widely used are [carbonyl-11C]WAY-100635 and [18F]MPPF (300). These two radioligands are selective and high-affinity 5-HT1A receptor antagonists with a high target-to-background ratio. These tracers have been used in numerous studies of patients with psychiatric disorders such as panic disorder (303), bipolar depression (218) and anorexia nervosa (304), as well as in neurological disorders such as epilepsy, cognitive impairment, AD and migraine (305311). The third 5-HT1A antagonist radioligand used in clinical studies is [18F]-FCWAY (312), a fluorinated analog of WAY-100635, which also has high 5-HT1A affinity and a high hippocampal-to-cerebellar binding ratio (313317). However, this compound undergoes high defluorination in vivo, leading to high bone radioactivity uptake. Although this radiodefluorination has been prevented in humans by preadministering disulfiram, this drawback may explain why its use has not been expanded beyond a single PET center (300). A novel and promising 18F-labeled radiotracer, [18F]MefWAY, that is thought to be resistant to defluorination in vivo was recently administered to healthy humans, but no clinical study has yet been published (318). There has been recent interest in the use of 5-HT1A agonists to study variations in endogenous 5-HT levels. [11C]CUMI-101 shows high affinity, but its sensitivity to endogenous 5-HT variations in vivo has not yet been reported (319).

Because they are involved in the etiology and treatment of many psychiatric disorders, 5-HT2A receptors have also been imaged. Five specific radioligands of this receptor have successfully been used in clinical studies: [123I]-R91150, and the PET radioligands [18F]setoperone, [18F]altanserin, [18F]deuteroaltanserin, and [11C]MDL 100, 907. Despite its low signal-to-noise ratio, [123I]-R91150 has often been used in drug occupancy studies, on account of the widespread availability of SPECT (320, 321). It has also been used to study changes in 5-HT2A receptor density that are implicated in various diseases, including cognitive decline (322), suicidal behavior (323), and anorexia nervosa (324). [18F]altanserin is the most frequently used PET tracer. Although it is metabolized to lipophilic radiometabolites, which contribute to non-specific binding, like the previous one, this tracer has been used to determine 5-HT2A receptor density in relation to several psychiatric diseases, such as depression (325), cognitive decline (326), Tourette's syndrome (327), schizophrenia (328) and other neuropsychiatric disorders (329, 330).

Another target allowing for serotoninergic system imaging is the SERT. Interest in SERT imaging has been stimulated by the success of serotonin reuptake inhibitors. The three most widely used belong to the diarylsulfide family: [11C]-DASB, [11C]-MADAM, [123I]-ADAM (300). These radiotracers have been successfully used to estimate SERT occupancy by selective serotonin reuptake inhibitors (331337), in order to demonstrate changes in SERT density in several neuropsychiatric disorders and throughout their treatment (338344), as well as in healthy individuals to investigate physiological variations such as personality traits (345) or seasonal changes (346). Other specific radiotracers for this target are still being developed: 4-[18F]ADAM has yielded promising results (347, 348).

All these serotoninergic tracers are summarized in Table 8.

Table 8.

Main serotoninergic radioligands, molecular structures, pharmacological properties, and examples of clinical studies.

Compounds Imaging modality Target/ measure Affinity (nM) Clinical studies Compounds Imaging modality Target/ measure Affinity (nM) Clinical studies
Inline graphic
[11C]-WAY-100635
PET 5-HT1A density (antagonist) Kd = 0.2–0.4 (300) PD (306), depression (349), panic disorder (303), social anxiety disorder (302), anorexia nervosa (304) Inline graphic
[18F]altanserin
PET 5-HT2A density Ki = 0.13 (300) AD (326), depression (325), schizophrenia (328), Tourette's syndrome (327), anorexia nervosa (329), obsessive compulsive disorder (330)
Inline graphic
[18F]MPPF
PET 5-HT1A density (antagonist) Kd = 0.3 (300) AD (308), epilepsy (282, 307, 311), migraine (309, 310) Inline graphic
[18F]deuteroaltanserin
PET 5-HT2A density AD (350)
Inline graphic
[18F]FCWAY
PET 5-HT1A density (antagonist) Ki = 0.25 (300) Epilepsy (313315), panic disorder (316) Inline graphic
[11C]MDL-100,907
PET 5-HT2A density Kd = 0.14–0.19 (300) Depression (351), obsessive compulsive disorder (352)
Inline graphic
[18F]MefWAY
PET 5-HT1A density (antagonist) IC50 = 26 in rats (353) Inline graphic
[11C]DASB
PET SERT density Ki = 0.97 ± 0.07(354) Depression (340), schizophrenia (341), alcohol dependence (343), obsessive compulsive disorder (342), bipolar disorder (344)
Inline graphic
[11C]CUMI-101
PET 5-HT1A density (partial agonist) Ki = 0.15 (300) Measure of endogenous changes in serotonergic neurotransmission (355) Inline graphic
[11C]MADAM
PET SERT density Kd = 0.02 (356)*
Inline graphic
[123I]R91150
SPECT 5-HT2A density Kd = 0.11 (300) AD (322), anorexia nervosa (324), suicidal behavior (323) Inline graphic
[123I]ADAM
SPECT SERT density Kd = 0.03 (356) Depression (338), migraine (339)
Inline graphic
[18F]setoperone
PET 5-HT2A density Kd = 0.7 in rats (357) AD (358), migraine (359), stroke (360), depression (361) Inline graphic
4-[18F]ADAM
PET SERT density Ki = 0.081 (362) Depression (348)
*

Determined for [3H]MADAM.

α-Synuclein

α-synuclein (α-Syn) is a phosphoprotein found in Lewy bodies (LBs), pathological inclusions that are the hallmark of PD and LBD, as well as in the glial cytoplasmic inclusions (GCIs) that are typical of MSA. All these diseases fall now under the heading of synucleinopathies (363). α-Syn aggregates might induce mitochondrial and proteasomal dysfunction, and interfere with vesicular trafficking within dopamine neurons, leading to their degeneration (364). These protein aggregates have been shown to spread from cell to cell via the extracellular space, and the presence of α-Syn has been demonstrated in extracellular matrices such as plasma, conditioned cell media, and cerebrospinal fluid (365, 366). It is thought that occult α-Syn deposition may occur years before the onset of motor symptoms. Hence, accurate and early detection of premotor synucleinopathies may benefit more from α-Syn imaging, rather than from evidence of dopaminergic changes (367, 368). Although several molecules are able to bind to aggregated α-Syn, a selective imaging biomarker has not been found yet. A sensitive and specific α-Syn radiotracer would have to fulfill several criteria. First, α-Syn exist in different forms, including soluble and insoluble oligomers. An imbalance between these two species led to the formation of pathologic aggregates (369, 370), which have to be recognized by the tracer. Secondly, α-Syn aggregates have distinct cellular localization patterns according to the synucleinopathy, with intraneuronal aggregates (e.g., LBs) in PD, and oligodendrocytic aggregates (e.g., GCIs) in MSA. The ideal α-Syn radiotracer would be able to detect and differentiate these different locations, thereby providing a potential tool for differential diagnosis. Third, colocalization between α-Syn aggregates and other aggregating proteins, such as tau and Aβ (371), has frequently been reported. The optimum tracer would have to be able to specifically detect α-Syn with regard to other deposits, despite their small size and low density. Finally, α-Syn undergoes various posttranslational modifications, such as oxidative modification (372), phosphorylation (373, 374), and N-terminal acetylation, all of which the tracer should be able to detect (363).

As explained above, several molecules are able to cross the BBB and bind to aggregated α-Syn. Unfortunately, these molecules also tend to bind to other aggregated proteins, including Aβ plaques. In this context, diverse Aβ-binding compounds have been investigated for potential affinity for α-Syn, such as [11C]-PIB (375), and more especially [18F]-BF227. In vitro binding studies indicate that [18F]-BF227 binds with high affinity to two binding sites on Aβ1–42 fibrils, and to one class of binding site on α-Syn fibrils. [18F]-BF227 has been found to bind to Aβ-containing AD brain, but failed to bind to Aβ-free LBD or age-matched control homogenates. Furthermore, [18F]-BF227 labeled both Aβ plaques and LBs in an immunohistochemical/fluorescence analysis of human AD and PD brain sections (376). [18F]-BF227 has also been reported to stain GCIs in post mortem tissues, and [11C]-BF227 PET was used to measure the aggregated α-Syn load in eight cases of probable MSA (377). This study demonstrated high signals in GCI-rich brain regions, including subcortical white matter and the putamen, globus pallidus, primary motor cortex, and anterior and posterior cingulate cortex. However, a very recent autoradiography study failed to support binding of [18F]BF-227 to CGI at concentrations typically achieved in PET experiments (378). The lack of specificity and affinity of [18F]-BF227 means that it cannot be used to diagnose synucleinopathies, although it could, theoretically, still be used to monitor changes in α-Syn aggregate load after interventions such as immunotherapy. Levels of other aggregated proteins, such as Aβ, would first have to be independently determined (368).

The last reported α-Syn radioligand is [125I]-SIL23 (379). This tracer has been found to bind to α-Syn fibrils in post mortem brain tissue from patients with PD, as well as to α-Syn in a transgenic mouse model for PD. However, the affinity of SIL23 for α-Syn vs. Aβ and tau fibrils is not optimum for imaging fibrillar α-Syn in vivo. Moreover, high non-specific binding, including non-specific binding in white matter liable to be secondary to lipophilic interactions, also appeared to limit autoradiography with SIL23 in preliminary experiments.

To conclude, the development of an α-Syn PET radiotracer is particularly challenging, and although several studies have tried to develop suitable PET α-Syn radiotracers (380), the ideal candidate remains elusive. These three radiotracers and their main properties are resumed in Table 9.

Table 9.

Main PET and SPECT radiotracers relevant to α-Syn imaging, molecular structures, pharmacological properties, and examples of clinical trials. *determined for [3H]-PIB.

Compounds Imaging modality Affinity for α-Syn fibrils (nM) Affinity for Aβ fibrils (nM) Clinical trials
Inline graphic
[11C]-PIB
PET Kd = 4.16* (381) Kd1 = 0.71*
Kd2 = 19.80* (Aβ1−42 fibrils) (382)
Not used in clinical trials for α-Syn imaging
Inline graphic
[18F]-BF227
PET Kd = 14.03 ± 43.52 (380) Kd1 = 0.82 ± 1.08
Kd2 = 125.2 ± 29.05 (Aβ42 fibrils) (380)
MSA (377)
Inline graphic
[125I]-SIL23
SPECT Kd = 148 (379) Kd = 635 (379)

Discussion

Molecular imaging agents have evolved from non-specific agents to ligands with very high selectivity for specific brain targets such as receptors, neurotransmitter transporters, or abnormal protein deposits over the last decades. Through the nine targets mentioned above, we have seen that the specificity of the ligands for their target is of paramount importance. Indeed, cross binding affinities of several radioligands could reduce the specificity of the results and may interfere with diagnosis.

More and more the diagnosis of dopaminergic disorders is sustained by molecular imaging combined with clinical examination and have been included in guidelines (383, 384). Thus, molecular imaging is used as an ancillary tool when clinical symptoms are insufficient to confirm a diagnosis. Dopaminergic imaging rests on F-DOPA, but mostly on DAT imaging (especially [123I]-FPCIT), which is considered more relevant to evaluate dopaminergic neuron loss. Thus, LBT-999 could be of great interest in the future because of its better sensitivity, and the higher resolution of PET imaging. In parallel, the increase in attempted to graft dopaminergic neurons may drive up F-DOPA imaging to monitor cell survival. An interesting target remain particularly challenging: indeed, to date, α-Syn cannot be specifically detected with existing radiotracers. This target constituting the hallmark of PD, LBD and MSA, its early visualization could be considerably helpful for diagnosis.

In regards to AD imaging, the first investigations was the assessment of cerebral perfusion. Then, [18F]FDG has allowed to assess cerebral glucose metabolism, and remains a widely prescribed exam at present. Within the last decades, amyloid imaging became the most specific examination because of its excellent negative predictive value, and allow therapeutic stratification in clinical trials. In 2007 (later updated in 2010), Dubois and al. published revised criteria for AD that for the first time included AD biomarkers (amyloid PET and CSF Aβ42) as a supportive criteria. However, Aβ plaques are not correlated with cognitive decline, therefore, clinical research is increasingly turning to tau and neuroinflammation imaging to assess new treatments and follow-up disease progression. Further radiotracers targeting other mechanisms, such as [18F]FNM or [18F]-2FA, could be used in AD studies to improve understanding of the cascades of events leading to neurodegeneration.

Psychiatric diseases diagnosis does not call for molecular imaging in clinical routine. However, in psychiatry, physiopathological modifications behind the symptoms remain not well known and understood. Hence, PET and SPECT radioligands such as, serotonergic, GABAergic or glutamatergic tracers, are a powerful tool to improve psychiatric nosography. Nowadays, it is possible to quantify receptors and transporters imbalances in numerous psychiatric diseases including depression, anxiety and schizophrenia, and explore different treatments options. Moreover, several hypothesis suggest a potential link between excitotoxicity and psychiatrics disorders especially schizophrenia. The hypothesis suggest that progressive excitotoxic neural cell death in hippocampal and cortical areas occurs via “disinhibition” of glutamatergic projection to these areas. Disinhibited glutamatergic activity could result from inhibition of glutamate-mediated neurotransmission and a consequent failure to stimulate inhibitory GABAergic neurons, and/or degeneration of inhibitory GABAergic interneurons (385). Unfortunately, too few studies have been performed yet to highlight this hypothesis. Today, more tracers are be needed to explore glutamatergic and GABAergic systems.

Conclusion

After several decades of research, some radiotracers targeting a hallmark of a disease are valuable diagnostic tools in clinical routine and research, and are used on a large scale. Recently, numerous radiotracers have been developed in order to detect primary changes in brain tissue, and improve our understanding of physiopathological mechanisms of neuropsychiatric diseases. These radioligands provide quantitative and topographical information on the evolution of their target during the course of the disease. More than diagnostic tools, they are one of the only ways to better understand the functioning of the brain in the healthy man and in pathological conditions. Their future usefulness is more focused on therapy monitoring than on the diagnosis itself. As in oncology, molecular neuroimaging is now becoming a therapeutic assistance tool, for screening patient's eligibility for drugs and monitoring the proper functioning of therapy. These new companion drugs are a new challenge for molecular imaging, and quantitative and kinetic analyzes seem to be increasingly relevant for image interpretation. Further development in understanding radiotracer metabolization, binding characteristics, BBB crossing, and clinicopathologic correlations of all these imaging probes will assert their clinical utility, and will lead to the development of more neuroimaging probes in the future.

Author Contributions

This review was written by MB, A-SS and NA. Correction was made by MR, PD, FL, J-FD, and PP. PP was also involved in the plan development.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Footnotes

Funding. This work was supported by Labex IRON (ANR-11-LABX-18-01).

References

  • 1.Mankoff DA. A definition of molecular imaging. J Nucl Med Off Publ Soc Nucl Med. (2007) 48:18N, 21N. [PubMed] [Google Scholar]
  • 2.Pysz MA, Gambhir SS, Willmann JK. Molecular imaging: current status and emerging strategies. Clin Radiol. (2010) 65:500–16. 10.1016/j.crad.2010.03.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.O'Brien TJ, So EL, Mullan BP, Hauser MF, Brinkmann BH, Bohnen NI, et al. Subtraction ictal SPECT co-registered to MRI improves clinical usefulness of SPECT in localizing the surgical seizure focus. Neurology. (1998) 50:445–54. 10.1212/WNL.50.2.445 [DOI] [PubMed] [Google Scholar]
  • 4.Varrone A, Asenbaum S, Vander Borght T, Booij J, Nobili F, Någren K, et al. EANM procedure guidelines for PET brain imaging using [18F]FDG, version 2. Eur J Nucl Med Mol Imaging. (2009) 36:2103–10. 10.1007/s00259-009-1264-0 [DOI] [PubMed] [Google Scholar]
  • 5.Goldman JG, Holden SK, Litvan I, McKeith I, Stebbins GT, Taylor J-P. Evolution of diagnostic criteria and assessments for Parkinson's disease mild cognitive impairment. Mov Disord Off J Mov Disord Soc. (2018) 33:503–10. 10.1002/mds.27323 [DOI] [PubMed] [Google Scholar]
  • 6.Dubois B, Hampel H, Feldman HH, Scheltens P, Aisen P, Andrieu S, et al. Preclinical Alzheimer's disease: definition, natural history, and diagnostic criteria. Alzheimers Dement. (2016) 12:292–323. 10.1016/j.jalz.2016.02.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Finnema SJ, Scheinin M, Shahid M, Lehto J, Borroni E, Bang-Andersen B, et al. Application of cross-species PET imaging to assess neurotransmitter release in brain. Psychopharmacology. (2015) 232:4129–57. 10.1007/s00213-015-3938-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Baulieu J-L, Le-Pogam A, Leborgne A, Guilloteau D, Prunier-Aesch C. Imagerie moléculaire de la maladie de Parkinson : données actuelles. Médecine Nucl. (2008) 32:236–41. 10.1016/j.mednuc.2008.02.001 [DOI] [Google Scholar]
  • 9.Garnett ES, Firnau G, Nahmias C. Dopamine visualized in the basal ganglia of living man. Nature. (1983) 305:137–8. 10.1038/305137a0 [DOI] [PubMed] [Google Scholar]
  • 10.Becker G, Müller A, Braune S, Büttner T, Benecke R, Greulich W, et al. Early diagnosis of Parkinson's disease. J Neurol. (2002) 249:iii40–8. 10.1007/s00415-002-1309-9 [DOI] [PubMed] [Google Scholar]
  • 11.Snow BJ, Tooyama I, McGeer EG, Yamada T, Calne DB, Takahashi H, et al. Human positron emission tomographic [18F]fluorodopa studies correlate with dopamine cell counts and levels. Ann Neurol. (1993) 34:324–30. 10.1002/ana.410340304 [DOI] [PubMed] [Google Scholar]
  • 12.Ribeiro MJ, Remy P, Bendriem B, Almeida P, Brulon V, Samson Y, et al. Comparison of clinical data sets acquired on different tomographs using 6-18F-L-dopa. Eur J Nucl Med. (2000) 27:707–12. 10.1007/s002590050566 [DOI] [PubMed] [Google Scholar]
  • 13.Ma Y, Tang C, Chaly T, Greene P, Breeze R, Fahn S, et al. Dopamine cell implantation in Parkinson's disease: long-term clinical and (18)F-FDOPA PET outcomes. J Nucl Med Off Publ Soc Nucl Med. (2010) 51:7–15. 10.2967/jnumed.109.066811 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Akamatsu G, Ohnishi A, Aita K, Nishida H, Ikari Y, Sasaki M, et al. A revisit to quantitative PET with 18F-FDOPA of high specific activity using a high-resolution condition in view of application to regenerative therapy. Ann Nucl Med. (2017) 31:163–71. 10.1007/s12149-016-1143-2 [DOI] [PubMed] [Google Scholar]
  • 15.Ziebell M, Holm-Hansen S, Thomsen G, Wagner A, Jensen P, Pinborg LH, et al. Serotonin transporters in dopamine transporter imaging: a head-to-head comparison of dopamine transporter SPECT radioligands 123I-FP-CIT and 123I-PE2I. J Nucl Med Off Publ Soc Nucl Med. (2010) 51:1885–91. 10.2967/jnumed.110.078337 [DOI] [PubMed] [Google Scholar]
  • 16.Ito Y, Fujita M, Shimada S, Watanabe Y, Okada T, Kusuoka H, et al. Comparison between the decrease of dopamine transporter and that of L-DOPA uptake for detection of early to advanced stage of Parkinson's disease in animal models. Synap N Y N. (1999) 31:178–85. [DOI] [PubMed] [Google Scholar]
  • 17.Eshuis SA, Maguire RP, Leenders KL, Jonkman S, Jager PL. Comparison of FP-CIT SPECT with F-DOPA PET in patients with de novo and advanced Parkinson's disease. Eur J Nucl Med Mol Imaging. (2006) 33:200–9. 10.1007/s00259-005-1904-y [DOI] [PubMed] [Google Scholar]
  • 18.McKeith I, O'Brien J, Walker Z, Tatsch K, Booij J, Darcourt J, et al. Sensitivity and specificity of dopamine transporter imaging with 123I-FP-CIT SPECT in dementia with Lewy bodies: a phase III, multicentre study. Lancet Neurol. (2007) 6:305–13. 10.1016/S1474-4422(07)70057-1 [DOI] [PubMed] [Google Scholar]
  • 19.Mateos JJ, Lomeña F, Parellada E, Mireia F, Fernandez-Egea E, Pavia J, et al. Lower striatal dopamine transporter binding in neuroleptic-naive schizophrenic patients is not related to antipsychotic treatment but it suggests an illness trait. Psychopharmacology. (2007) 191:805–11. 10.1007/s00213-006-0570-5 [DOI] [PubMed] [Google Scholar]
  • 20.Lehto SM, Tolmunen T, Joensuu M, Saarinen PI, Valkonen-Korhonen M, Vanninen R, et al. Changes in midbrain serotonin transporter availability in atypically depressed subjects after one year of psychotherapy. Prog Neuropsychopharmacol Biol Psychiatry. (2008) 32:229–37. 10.1016/j.pnpbp.2007.08.013 [DOI] [PubMed] [Google Scholar]
  • 21.Huang W-S, Chiang Y-H, Lin J-C, Chou Y-H, Cheng C-Y, Liu R-S. Crossover study of (99m)Tc-TRODAT-1 SPECT and (18)F-FDOPA PET in Parkinson's disease patients. J Nucl Med Off Publ Soc Nucl Med. (2003) 44:999–1005. [PubMed] [Google Scholar]
  • 22.Mozley PD, Schneider JS, Acton PD, Plössl K, Stern MB, Siderowf A, et al. Binding of [99mTc]TRODAT-1 to dopamine transporters in patients with Parkinson's disease and in healthy volunteers. J Nucl Med Off Publ Soc Nucl Med. (2000) 41:584–9. [PubMed] [Google Scholar]
  • 23.Kung MP, Stevenson DA, Plössl K, Meegalla SK, Beckwith A, Essman WD, et al. [99mTc]TRODAT-1: a novel technetium-99m complex as a dopamine transporter imaging agent. Eur J Nucl Med. (1997) 24:372–80. 10.1007/BF00881808 [DOI] [PubMed] [Google Scholar]
  • 24.Huang WS, Lin SZ, Lin JC, Wey SP, Ting G, Liu RS. Evaluation of early-stage Parkinson's disease with 99mTc-TRODAT-1 imaging. J Nucl Med Off Publ Soc Nucl Med. (2001) 42:1303–8. [PubMed] [Google Scholar]
  • 25.Emond P, Guilloteau D, Chalon S. PE2I: a radiopharmaceutical for in vivo exploration of the dopamine transporter. CNS Neurosci Ther. (2008) 14:47–64. 10.1111/j.1755-5949.2007.00033.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Chalon S, Hall H, Saba W, Garreau L, Dollé F, Halldin C, et al. Pharmacological characterization of (E)-N-(4-fluorobut-2-enyl)-2beta-carbomethoxy-3beta-(4'-tolyl)nortropane (LBT-999) as a highly promising fluorinated ligand for the dopamine transporter. J Pharmacol Exp Ther. (2006) 317:147–52. 10.1124/jpet.105.096792 [DOI] [PubMed] [Google Scholar]
  • 27.Dollé F, Emond P, Mavel S, Demphel S, Hinnen F, Mincheva Z, et al. Synthesis, radiosynthesis and in vivo preliminary evaluation of [11C]LBT-999, a selective radioligand for the visualisation of the dopamine transporter with PET. Bioorg Med Chem. (2006) 14:1115–25. 10.1016/j.bmc.2005.09.035 [DOI] [PubMed] [Google Scholar]
  • 28.Saba W, Valette H, Schöllhorn-Peyronneau M-A, Coulon C, Ottaviani M, Chalon S, et al. [11C]LBT-999: a suitable radioligand for investigation of extra-striatal dopamine transporter with PET. Synap N Y N. (2007) 61:17–23. 10.1002/syn.20337 [DOI] [PubMed] [Google Scholar]
  • 29.Varrone A, Stepanov V, Nakao R, Tóth M, Gulyás B, Emond P, et al. Imaging of the striatal and extrastriatal dopamine transporter with (18)F-LBT-999: quantification, biodistribution, and radiation dosimetry in nonhuman primates. J Nucl Med Off Publ Soc Nucl Med. (2011) 52:1313–21. 10.2967/jnumed.111.089953 [DOI] [PubMed] [Google Scholar]
  • 30.Brooks DJ. Technology insight: imaging neurodegeneration in Parkinson's disease. Nat Clin Pract Neurol. (2008) 4:267–77. 10.1038/ncpneuro0773 [DOI] [PubMed] [Google Scholar]
  • 31.Ghadery C, Strafella AP. New imaging markers for movement disorders. Curr Neurol Neurosci Rep. (2018) 18:22. 10.1007/s11910-018-0830-x [DOI] [PubMed] [Google Scholar]
  • 32.Fuente-Fernández R de la, Sossi V, McCormick S, Schulzer M, Ruth TJ, Stoessl AJ. Visualizing vesicular dopamine dynamics in Parkinson's disease. Synapse. (2009) 63:713–6. 10.1002/syn.20653 [DOI] [PubMed] [Google Scholar]
  • 33.Plotkin M, Amthauer H, Klaffke S, Kühn A, Lüdemann L, Arnold G, et al. Combined 123I-FP-CIT and 123I-IBZM SPECT for the diagnosis of parkinsonian syndromes: study on 72 patients. J Neural Transm. (2005) 112:677–92. 10.1007/s00702-004-0208-x [DOI] [PubMed] [Google Scholar]
  • 34.Knudsen GM, Karlsborg M, Thomsen G, Krabbe K, Regeur L, Nygaard T, et al. Imaging of dopamine transporters and D2 receptors in patients with Parkinson's disease and multiple system atrophy. Eur J Nucl Med Mol Imaging. (2004) 31:1631–8. 10.1007/s00259-004-1578-x [DOI] [PubMed] [Google Scholar]
  • 35.Orimo S, Suzuki M, Inaba A, Mizusawa H. 123I-MIBG myocardial scintigraphy for differentiating Parkinson's disease from other neurodegenerative parkinsonism: a systematic review and meta-analysis. Parkinsonism Relat Disord. (2012) 18:494–500. 10.1016/j.parkreldis.2012.01.009 [DOI] [PubMed] [Google Scholar]
  • 36.Volkow ND, Fowler JS, Wang GJ, Baler R, Telang F. Imaging dopamine's role in drug abuse and addiction. Neuropharmacology. (2009) 56(Suppl. 1):3–8. 10.1016/j.neuropharm.2008.05.022 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Shen L-H, Liao M-H, Tseng Y-C. Recent advances in imaging of dopaminergic neurons for evaluation of neuropsychiatric disorders. J Biomed Biotechnol. (2012) 2012:259349. 10.1155/2012/259349 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Klein JC, Eggers C, Kalbe E, Weisenbach S, Hohmann C, Vollmar S, et al. Neurotransmitter changes in dementia with Lewy bodies and Parkinson disease dementia in vivo. Neurology. (2010) 74:885–92. 10.1212/WNL.0b013e3181d55f61 [DOI] [PubMed] [Google Scholar]
  • 39.Hu XS, Okamura N, Arai H, Higuchi M, Matsui T, Tashiro M, et al. 18F-fluorodopa PET study of striatal dopamine uptake in the diagnosis of dementia with Lewy bodies. Neurology. (2000) 55:1575–7. 10.1212/WNL.55.10.1575 [DOI] [PubMed] [Google Scholar]
  • 40.Lewis SJ, Pavese N, Rivero-Bosch M, Eggert K, Oertel W, Mathias CJ, et al. Brain monoamine systems in multiple system atrophy: a positron emission tomography study. Neurobiol Dis. (2012) 46:130–6. 10.1016/j.nbd.2011.12.053 [DOI] [PubMed] [Google Scholar]
  • 41.Tai YF, Ahsan RL, de Yébenes JG, Pavese N, Brooks DJ, Piccini P. Characterization of dopaminergic dysfunction in familial progressive supranuclear palsy: an 18F-dopa PET study. J Neural Transm. (2007) 114:337–40. 10.1007/s00702-006-0536-0 [DOI] [PubMed] [Google Scholar]
  • 42.Kilbourn MR. In vivo radiotracers for vesicular neurotransmitter transporters. Nucl Med Biol. (1997) 24:615–9. 10.1016/S0969-8051(97)00101-7 [DOI] [PubMed] [Google Scholar]
  • 43.Martin WRW, Wieler M, Stoessl AJ, Schulzer M. Dihydrotetrabenazine positron emission tomography imaging in early, untreated Parkinson's disease. Ann Neurol. (2008) 63:388–94. 10.1002/ana.21320 [DOI] [PubMed] [Google Scholar]
  • 44.Koeppe RA, Gilman S, Junck L, Wernette K, Frey KA. Differentiating Alzheimer's disease from dementia with Lewy bodies and Parkinson's disease with (+)-[11C]dihydrotetrabenazine positron emission tomography. Alzheimers Dement J Alzheimers Assoc. (2008) 4(1 Suppl. 1):S67–76. 10.1016/j.jalz.2007.11.016 [DOI] [PubMed] [Google Scholar]
  • 45.Gilman S, Koeppe RA, Little R, An H, Junck L, Giordani B, et al. Striatal monoamine terminals in Lewy body dementia and Alzheimer's disease. Ann Neurol. (2004) 55:774–80. 10.1002/ana.20088 [DOI] [PubMed] [Google Scholar]
  • 46.Gilman S, Chervin RD, Koeppe RA, Consens FB, Little R, An H, et al. Obstructive sleep apnea is related to a thalamic cholinergic deficit in MSA. Neurology. (2003) 61:35–9. 10.1212/01.WNL.0000073624.13436.32 [DOI] [PubMed] [Google Scholar]
  • 47.Gilman S, Koeppe RA, Chervin RD, Consens FB, Little R, An H, et al. REM sleep behavior disorder is related to striatal monoaminergic deficit in MSA. Neurology. (2003) 61:29–34. 10.1212/01.WNL.0000073745.68744.94 [DOI] [PubMed] [Google Scholar]
  • 48.Emond P, Garreau L, Chalon S, Boazi M, Caillet M, Bricard J, et al. Synthesis and ligand binding of nortropane derivatives: N-substituted 2beta-carbomethoxy-3beta-(4'-iodophenyl)nortropane and N-(3-iodoprop-(2E)-enyl)-2beta-carbomethoxy-3beta-(3',4'-disubstituted phenyl)nortropane. New high-affinity and selective compounds for the dopamine transporter. J Med Chem. (1997) 40:1366–72. 10.1021/jm960795d [DOI] [PubMed] [Google Scholar]
  • 49.Jennings D, Siderowf A, Stern M, Seibyl J, Eberly S, Oakes D, et al. Imaging prodromal Parkinson disease: the Parkinson Associated Risk Syndrome Study. Neurology. (2014) 83:1739–46. 10.1212/WNL.0000000000000960 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Olanow CW, Jenner P, Brooks D. Dopamine agonists and neuroprotection in Parkinson's disease. Ann Neurol. (1998) 44(3 Suppl. 1):S167–174. 10.1002/ana.410440725 [DOI] [PubMed] [Google Scholar]
  • 51.Parkinson Study Group Dopamine transporter brain imaging to assess the effects of pramipexole vs levodopa on Parkinson disease progression. JAMA. (2002) 287:1653–61. 10.1001/jama.287.13.1653 [DOI] [PubMed] [Google Scholar]
  • 52.Fahn S, Oakes D, Shoulson I, Kieburtz K, Rudolph A, Lang A, et al. Levodopa and the progression of Parkinson's disease. N Engl J Med. (2004) 351:2498–508. 10.1056/NEJMoa033447 [DOI] [PubMed] [Google Scholar]
  • 53.Lim SM, Katsifis A, Villemagne VL, Best R, Jones G, Saling M, et al. The 18F-FDG PET cingulate island sign and comparison to 123I-beta-CIT SPECT for diagnosis of dementia with Lewy bodies. J Nucl Med Off Publ Soc Nucl Med. (2009) 50:1638–45. 10.2967/jnumed.109.065870 [DOI] [PubMed] [Google Scholar]
  • 54.Tsao H-H, Lin K-J, Juang J-H, Skovronsky DM, Yen T-C, Wey S-P, et al. Binding characteristics of 9-fluoropropyl-(+)-dihydrotetrabenzazine (AV-133) to the vesicular monoamine transporter type 2 in rats. Nucl Med Biol. (2010) 37:413–9. 10.1016/j.nucmedbio.2010.01.002 [DOI] [PubMed] [Google Scholar]
  • 55.Hsiao I-T, Weng Y-H, Hsieh C-J, Lin W-Y, Wey S-P, Kung M-P, et al. Correlation of Parkinson disease severity and 18F-DTBZ positron emission tomography. JAMA Neurol. (2014) 71:758–66. 10.1001/jamaneurol.2014.290 [DOI] [PubMed] [Google Scholar]
  • 56.Villemagne VL, Okamura N, Pejoska S, Drago J, Mulligan RS, Chételat G, et al. In vivo assessment of vesicular monoamine transporter type 2 in dementia with lewy bodies and Alzheimer disease. Arch Neurol. (2011) 68:905–12. 10.1001/archneurol.2011.142 [DOI] [PubMed] [Google Scholar]
  • 57.Moccia M, Erro R, Picillo M, Santangelo G, Spina E, Allocca R, et al. A four-year longitudinal study on restless legs syndrome in Parkinson Disease. Sleep. (2016) 39:405–12. 10.5665/sleep.5452 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Filippi L, Manni C, Pierantozzi M, Brusa L, Danieli R, Stanzione P, et al. 123I-FP-CIT in progressive supranuclear palsy and in Parkinson's disease: a SPECT semiquantitative study. Nucl Med Commun. (2006) 27:381–6. 10.1097/01.mnm.0000202858.45522.df [DOI] [PubMed] [Google Scholar]
  • 59.Booij J, Tissingh G, Boer GJ, Speelman JD, Stoof JC, Janssen AG, et al. [123I]FP-CIT SPECT shows a pronounced decline of striatal dopamine transporter labelling in early and advanced Parkinson's disease. J Neurol Neurosurg Psychiatry. (1997) 62:133–40. 10.1136/jnnp.62.2.133 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Walker Z, Moreno E, Thomas A, Inglis F, Tabet N, Rainer M, et al. Clinical usefulness of dopamine transporter SPECT imaging with 123I-FP-CIT in patients with possible dementia with Lewy bodies: randomised study. Br J Psychiatry J Ment Sci. (2015) 206:145–52. 10.1192/bjp.bp.114.148643 [DOI] [PubMed] [Google Scholar]
  • 61.El Fakhri G, Habert M-O, Maksud P, Kas A, Malek Z, Kijewski MF, et al. Quantitative simultaneous (99m)Tc-ECD/123I-FP-CIT SPECT in Parkinson's disease and multiple system atrophy. Eur J Nucl Med Mol Imaging. (2006) 33:87–92. 10.1007/s00259-005-1920-y [DOI] [PubMed] [Google Scholar]
  • 62.Brücke T, Yuan Feen Tsai, McLellan C, Singhanyom W, Kung HF, Cohen RM, et al. In vitro binding properties and autoradiographic imaging of 3-iodobenzamide ([125I]-IBZM): A potential imaging ligand for D-2 dopamine receptors in spect. Life Sci. (1988) 42:2097–104. 10.1016/0024-3205(88)90123-3 [DOI] [PubMed] [Google Scholar]
  • 63.van Royen E, Verhoeff NF, Speelman JD, Wolters EC, Kuiper MA, Janssen AG. Multiple system atrophy and progressive supranuclear palsy. Diminished striatal D2 dopamine receptor activity demonstrated by 123I-IBZM single photon emission computed tomography. Arch Neurol. (1993) 50:513–6. 10.1001/archneur.1993.00540050063017 [DOI] [PubMed] [Google Scholar]
  • 64.Seppi K, Schocke MFH, Donnemiller E, Esterhammer R, Kremser C, Scherfler C, et al. Comparison of diffusion-weighted imaging and [123I]IBZM-SPECT for the differentiation of patients with the Parkinson variant of multiple system atrophy from those with Parkinson's disease. Mov Disord Off J Mov Disord Soc. (2004) 19:1438–45. 10.1002/mds.20229 [DOI] [PubMed] [Google Scholar]
  • 65.Arnold G, Tatsch K, Oertel WH, Vogl T, Schwarz J, Kraft E, et al. Clinical progressive supranuclear palsy: differential diagnosis by IBZM-SPECT and MRI. J Neural Transm Suppl. (1994) 42:111–8. 10.1007/978-3-7091-6641-3_9 [DOI] [PubMed] [Google Scholar]
  • 66.Van Laere K, De Ceuninck L, Dom R, Van den Eynden J, Vanbilloen H, Cleynhens J, et al. Dopamine transporter SPECT using fast kinetic ligands: 123I-FP-beta-CIT versus 99mTc-TRODAT-1. Eur J Nucl Med Mol Imaging. (2004) 31:1119–27. 10.1007/s00259-004-1480-6 [DOI] [PubMed] [Google Scholar]
  • 67.Kung MP, Kung HF, Billings J, Yang Y, Murphy RA, Alavi A. The characterization of IBF as a new selective dopamine D-2 receptor imaging agent. J Nucl Med Off Publ Soc Nucl Med. (1990) 31:648–54. [PubMed] [Google Scholar]
  • 68.Kim YJ, Ichise M, Ballinger JR, Vines D, Erami SS, Tatschida T, et al. Combination of dopamine transporter and D2 receptor SPECT in the diagnostic evaluation of PD, MSA, and PSP. Mov Disord Off J Mov Disord Soc. (2002) 17:303–12. 10.1002/mds.10042 [DOI] [PubMed] [Google Scholar]
  • 69.Oyanagi C, Katsumi Y, Hanakawa T, Hayashi T, Thuy D ha D, Hashikawa K, et al. Comparison of striatal dopamine D2 receptors in Parkinson's disease and progressive supranuclear palsy patients using [123I] iodobenzofuran single-photon emission computed tomography. J Neuroimaging Off J Am Soc Neuroimaging. (2002) 12:316–24. 10.1111/j.1552-6569.2002.tb00139.x [DOI] [PubMed] [Google Scholar]
  • 70.Sonni I, Fazio P, Schain M, Halldin C, Svenningsson P, Farde L, et al. Optimal acquisition time window and simplified quantification of dopamine transporter availability using 18F-FE-PE2I in healthy controls and Parkinson disease patients. J Nucl Med Off Publ Soc Nucl Med. (2016) 57:1529–34. 10.2967/jnumed.115.171231 [DOI] [PubMed] [Google Scholar]
  • 71.Prunier C, Payoux P, Guilloteau D, Chalon S, Giraudeau B, Majorel C, et al. Quantification of dopamine transporter by 123I-PE2I SPECT and the noninvasive Logan graphical method in Parkinson's disease. J Nucl Med Off Publ Soc Nucl Med. (2003) 44:663–70. [PubMed] [Google Scholar]
  • 72.Ziebell M, Andersen BB, Pinborg LH, Knudsen GM, Stokholm J, Thomsen G, et al. Striatal dopamine transporter binding does not correlate with clinical severity in dementia with Lewy bodies. J Nucl Med Off Publ Soc Nucl Med. (2013) 54:1072–6. 10.2967/jnumed.112.114025 [DOI] [PubMed] [Google Scholar]
  • 73.Warren NM, Piggott MA, Greally E, Lake M, Lees AJ, Burn DJ. Basal ganglia cholinergic and dopaminergic function in progressive supranuclear palsy. Mov Disord Off J Mov Disord Soc. (2007) 22:1594–600. 10.1002/mds.21573 [DOI] [PubMed] [Google Scholar]
  • 74.Hall H, Ogren SO, Köhler C, Magnusson O. Animal pharmacology of raclopride, a selective dopamine D2 antagonist. Psychopharmacol Ser. (1989) 7:123–30. 10.1007/978-3-642-74430-3_13 [DOI] [PubMed] [Google Scholar]
  • 75.Antonini A, Leenders KL, Vontobel P, Maguire RP, Missimer J, Psylla M, et al. Complementary PET studies of striatal neuronal function in the differential diagnosis between multiple system atrophy and Parkinson's disease. Brain J Neurol. (1997) 120 (Pt 12):2187–95. 10.1093/brain/120.12.2187 [DOI] [PubMed] [Google Scholar]
  • 76.Van Laere K, Clerinx K, D'Hondt E, de Groot T, Vandenberghe W. Combined striatal binding and cerebral influx analysis of dynamic 11C-raclopride PET improves early differentiation between multiple-system atrophy and Parkinson disease. J Nucl Med Off Publ Soc Nucl Med. (2010) 51:588–95. 10.2967/jnumed.109.070144 [DOI] [PubMed] [Google Scholar]
  • 77.Sérrière S, Tauber C, Vercouillie J, Guilloteau D, Deloye J-B, Garreau L, et al. In vivo PET quantification of the dopamine transporter in rat brain with [18F]LBT-999. Nucl Med Biol. (2014) 41:106–13. 10.1016/j.nucmedbio.2013.09.007 [DOI] [PubMed] [Google Scholar]
  • 78.Mukherjee J, Yang Z-Y, Brown T, Roemer J, Cooper M. 18F-desmethoxyfallypride: A fluorine-18 labeled radiotracer with properties similar to carbon-11 raclopride for pet imaging studies of dopamine D2 receptors. Life Sci. (1996) 59:669–78. 10.1016/0024-3205(96)00348-7 [DOI] [PubMed] [Google Scholar]
  • 79.Werhahn KJ, Landvogt C, Klimpe S, Buchholz H-G, Yakushev I, Siessmeier T, et al. Decreased dopamine D2/D3-receptor binding in temporal lobe epilepsy: an [18F]fallypride PET study. Epilepsia. (2006) 47:1392–6. 10.1111/j.1528-1167.2006.00561.x [DOI] [PubMed] [Google Scholar]
  • 80.Mathis CA, Mason NS, Lopresti BJ, Klunk WE. Development of positron emission tomography β-amyloid plaque imaging agents. Semin Nucl Med. (2012) 42:423–32. 10.1053/j.semnuclmed.2012.07.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Jack CR, Knopman DS, Jagust WJ, Shaw LM, Aisen PS, Weiner MW, et al. Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade. Lancet Neurol. (2010) 9:119–28. 10.1016/S1474-4422(09)70299-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Klunk WE, Engler H, Nordberg A, Wang Y, Blomqvist G, Holt DP, et al. Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound-B. Ann Neurol. (2004) 55:306–19. 10.1002/ana.20009 [DOI] [PubMed] [Google Scholar]
  • 83.Bacskai BJ, Frosch MP, Freeman SH, Raymond SB, Augustinack JC, Johnson KA, et al. Molecular imaging with Pittsburgh Compound B confirmed at autopsy: a case report. Arch Neurol. (2007) 64:431–4. 10.1001/archneur.64.3.431 [DOI] [PubMed] [Google Scholar]
  • 84.Hatashita S, Yamasaki H. Clinically different stages of Alzheimer's disease associated by amyloid deposition with [11C]-PIB PET imaging. J Alzheimers Dis JAD. (2010) 21:995–1003. 10.3233/JAD-2010-100222 [DOI] [PubMed] [Google Scholar]
  • 85.Fagan AM, Mintun MA, Mach RH, Lee S-Y, Dence CS, Shah AR, et al. Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Abeta42 in humans. Ann Neurol. (2006) 59:512–9. 10.1002/ana.20730 [DOI] [PubMed] [Google Scholar]
  • 86.Chételat G, Villemagne VL, Bourgeat P, Pike KE, Jones G, Ames D, et al. Relationship between atrophy and beta-amyloid deposition in Alzheimer disease. Ann Neurol. (2010) 67:317–24. 10.1002/ana.21955 [DOI] [PubMed] [Google Scholar]
  • 87.Pike KE, Savage G, Villemagne VL, Ng S, Moss SA, Maruff P, et al. Beta-amyloid imaging and memory in non-demented individuals: evidence for preclinical Alzheimer's disease. Brain J Neurol. (2007) 130(Pt 11):2837–44. 10.1093/brain/awm238 [DOI] [PubMed] [Google Scholar]
  • 88.Payoux P, Salabert AS. New PET markers for the diagnosis of dementia. Curr Opin Neurol. (2017) 30:608–16. 10.1097/WCO.0000000000000489 [DOI] [PubMed] [Google Scholar]
  • 89.Newberg AB, Arnold SE, Wintering N, Rovner BW, Alavi A. Initial clinical comparison of 18F-florbetapir and 18F-FDG PET in patients with Alzheimer disease and controls. J Nucl Med Off Publ Soc Nucl Med. (2012) 53:902–7. 10.2967/jnumed.111.099606 [DOI] [PubMed] [Google Scholar]
  • 90.Del Campo N, Payoux P, Djilali A, Delrieu J, Hoogendijk EO, Rolland Y, et al. Relationship of regional brain β-amyloid to gait speed. Neurology. (2016) 86:36–43. 10.1212/WNL.0000000000002235 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Bailly M, Ribeiro MJS, Vercouillie J, Hommet C, Gissot V, Camus V, et al. 18F-FDG and 18F-florbetapir PET in clinical practice: regional analysis in mild cognitive impairment and Alzheimer disease. Clin Nucl Med. (2015) 40:e111–6. 10.1097/RLU.0000000000000666 [DOI] [PubMed] [Google Scholar]
  • 92.Kobylecki C, Langheinrich T, Hinz R, Vardy ERLC, Brown G, Martino M-E, et al. 18F-florbetapir PET in patients with frontotemporal dementia and Alzheimer disease. J Nucl Med Off Publ Soc Nucl Med. (2015) 56:386–91. 10.2967/jnumed.114.147454 [DOI] [PubMed] [Google Scholar]
  • 93.de Lartigue J. Flutemetamol (18F): a β-amyloid positron emission tomography tracer for Alzheimer's and dementia diagnosis. Drugs Today. (2014) 50:219–29. 10.1358/dot.2014.050.03.2116672 [DOI] [PubMed] [Google Scholar]
  • 94.Duara R, Loewenstein DA, Shen Q, Barker W, Potter E, Varon D, et al. Amyloid positron emission tomography with (18)F-flutemetamol and structural magnetic resonance imaging in the classification of mild cognitive impairment and Alzheimer's disease. Alzheimers Dement J Alzheimers Assoc. (2013) 9:295–301. 10.1016/j.jalz.2012.01.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Morris E, Chalkidou A, Hammers A, Peacock J, Summers J, Keevil S. Diagnostic accuracy of (18)F amyloid PET tracers for the diagnosis of Alzheimer's disease: a systematic review and meta-analysis. Eur J Nucl Med Mol Imaging. (2016) 43:374–85. 10.1007/s00259-015-3228-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Barthel H, Luthardt J, Becker G, Patt M, Hammerstein E, Hartwig K, et al. Individualized quantification of brain β-amyloid burden: results of a proof of mechanism phase 0 florbetaben PET trial in patients with Alzheimer's disease and healthy controls. Eur J Nucl Med Mol Imaging. (2011) 38:1702–14. 10.1007/s00259-011-1821-1 [DOI] [PubMed] [Google Scholar]
  • 97.Chiaravalloti A, Danieli R, Lacanfora A, Palumbo B, Caltagirone C, Schillaci O. Usefulness of 18F florbetaben in diagnosis of Alzheimer's disease and other types of dementia. Curr Alzheimer Res. (2017) 14:154–60. 10.2174/1567205013666160620114309 [DOI] [PubMed] [Google Scholar]
  • 98.Sabri O, Sabbagh MN, Seibyl J, Barthel H, Akatsu H, Ouchi Y, et al. Florbetaben PET imaging to detect amyloid beta plaques in Alzheimer's disease: phase 3 study. Alzheimers Dement J Alzheimers Assoc. (2015) 11:964–74. 10.1016/j.jalz.2015.02.004 [DOI] [PubMed] [Google Scholar]
  • 99.Ong KT, Villemagne VL, Bahar-Fuchs A, Lamb F, Langdon N, Catafau AM, et al. Aβ imaging with 18F-florbetaben in prodromal Alzheimer's disease: a prospective outcome study. J Neurol Neurosurg Psychiatry. (2015) 86:431–6. 10.1136/jnnp-2014-308094 [DOI] [PubMed] [Google Scholar]
  • 100.Knopman DS, DeKosky ST, Cummings JL, Chui H, Corey-Bloom J, Relkin N, et al. Practice parameter: diagnosis of dementia (an evidence-based review). Report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology. (2001) 56:1143–53. 10.1212/WNL.56.9.1143 [DOI] [PubMed] [Google Scholar]
  • 101.Yeo JM, Waddell B, Khan Z, Pal S. A systematic review and meta-analysis of (18)F-labeled amyloid imaging in Alzheimer's disease. Alzheimers Dement Amst Neth. (2015) 1:5–13. 10.1016/j.dadm.2014.11.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Rabinovici GD, Furst AJ, Alkalay A, Racine CA, O'Neil JP, Janabi M, et al. Increased metabolic vulnerability in early-onset Alzheimer's disease is not related to amyloid burden. Brain J Neurol. (2010) 133(Pt 2):512–28. 10.1093/brain/awp326 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Lehmann M, Ghosh PM, Madison C, Laforce R, Corbetta-Rastelli C, Weiner MW, et al. Diverging patterns of amyloid deposition and hypometabolism in clinical variants of probable Alzheimer's disease. Brain J Neurol. (2013) 136(Pt 3):844–58. 10.1093/brain/aws327 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Jung Y, Whitwell JL, Duffy JR, Strand EA, Machulda MM, Senjem ML, et al. Regional β-amyloid burden does not correlate with cognitive or language deficits in Alzheimer's disease presenting as aphasia. Eur J Neurol. (2016) 23:313–9. 10.1111/ene.12761 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Laforce R, Soucy J-P, Sellami L, Dallaire-Théroux C, Brunet F, Bergeron D, et al. Molecular imaging in dementia: Past, present, and future. Alzheimers Dement. (2018) 14:1522–52. 10.1016/j.jalz.2018.06.2855 [DOI] [PubMed] [Google Scholar]
  • 106.Johnson KA, Minoshima S, Bohnen NI, Donohoe KJ, Foster NL, Herscovitch P, et al. Appropriate use criteria for amyloid PET: a report of the Amyloid Imaging Task Force, the Society of Nuclear Medicine and Molecular Imaging, and the Alzheimer's Association. Alzheimers Dement. (2013) 9:e-1-16. 10.1016/j.jalz.2013.01.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Weller J, Budson A. Current understanding of Alzheimer's disease diagnosis and treatment. F1000Res. (2018) 7:F1000 Faculty Rev-1161. 10.12688/f1000research.14506.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Delrieu J, Ousset PJ, Voisin T, Vellas B. Amyloid beta peptide immunotherapy in Alzheimer disease. Rev Neurol. (2014) 170:739–48. 10.1016/j.neurol.2014.10.003 [DOI] [PubMed] [Google Scholar]
  • 109.Honig LS, Vellas B, Woodward M, Boada M, Bullock R, Borrie M, et al. Trial of solanezumab for mild dementia due to Alzheimer's disease. N Engl J Med. (2018) 378:321–30. 10.1056/NEJMoa1705971 [DOI] [PubMed] [Google Scholar]
  • 110.Hall B, Mak E, Cervenka S, Aigbirhio FI, Rowe JB, O'Brien JT. In vivo tau PET imaging in dementia: pathophysiology, radiotracer quantification, and a systematic review of clinical findings. Ageing Res Rev. (2017) 36:50–63. 10.1016/j.arr.2017.03.002 [DOI] [PubMed] [Google Scholar]
  • 111.Gómez-Isla T, Hollister R, West H, Mui S, Growdon JH, Petersen RC, et al. Neuronal loss correlates with but exceeds neurofibrillary tangles in Alzheimer's disease. Ann Neurol. (1997) 41:17–24. 10.1002/ana.410410106 [DOI] [PubMed] [Google Scholar]
  • 112.van Rossum IA, Visser PJ, Knol DL, van der Flier WM, Teunissen CE, Barkhof F, et al. Injury markers but not amyloid markers are associated with rapid progression from mild cognitive impairment to dementia in Alzheimer's disease. J Alzheimers Dis JAD. (2012) 29:319–27. 10.3233/JAD-2011-111694 [DOI] [PubMed] [Google Scholar]
  • 113.Agdeppa ED, Kepe V, Liu J, Flores-Torres S, Satyamurthy N, Petric A, et al. Binding characteristics of radiofluorinated 6-dialkylamino-2-naphthylethylidene derivatives as positron emission tomography imaging probes for beta-amyloid plaques in Alzheimer's disease. J Neurosci Off J Soc Neurosci. (2001) 21:RC189. 10.1523/JNEUROSCI.21-24-j0004.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Luurtsema G, Schuit RC, Takkenkamp K, Lubberink M, Hendrikse NH, Windhorst AD, et al. Peripheral metabolism of [(18)F]FDDNP and cerebral uptake of its labelled metabolites. Nucl Med Biol. (2008) 35:869–74. 10.1016/j.nucmedbio.2008.09.002 [DOI] [PubMed] [Google Scholar]
  • 115.Okamura N, Suemoto T, Furumoto S, Suzuki M, Shimadzu H, Akatsu H, et al. Quinoline and benzimidazole derivatives: candidate probes for in vivo imaging of tau pathology in Alzheimer's disease. J Neurosci Off J Soc Neurosci. (2005) 25:10857–62. 10.1523/JNEUROSCI.1738-05.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Fodero-Tavoletti MT, Okamura N, Furumoto S, Mulligan RS, Connor AR, McLean CA, et al. 18F-THK523: a novel in vivo tau imaging ligand for Alzheimer's disease. Brain J Neurol. (2011) 134(Pt 4):1089–100. 10.1093/brain/awr038 [DOI] [PubMed] [Google Scholar]
  • 117.Fodero-Tavoletti MT, Furumoto S, Taylor L, McLean CA, Mulligan RS, Birchall I, et al. Assessing THK523 selectivity for tau deposits in Alzheimer's disease and non-Alzheimer's disease tauopathies. Alzheimers Res Ther. (2014) 6:11. 10.1186/alzrt240 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Villemagne VL, Furumoto S, Fodero-Tavoletti MT, Mulligan RS, Hodges J, Harada R, et al. In vivo evaluation of a novel tau imaging tracer for Alzheimer's disease. Eur J Nucl Med Mol Imaging. (2014) 41:816–26. 10.1007/s00259-013-2681-7 [DOI] [PubMed] [Google Scholar]
  • 119.Harada R, Okamura N, Furumoto S, Furukawa K, Ishiki A, Tomita N, et al. 18F-THK5351: a novel PET radiotracer for imaging neurofibrillary pathology in Alzheimer disease. J Nucl Med Off Publ Soc Nucl Med. (2016) 57:208–14. 10.2967/jnumed.115.164848 [DOI] [PubMed] [Google Scholar]
  • 120.Chien DT, Bahri S, Szardenings AK, Walsh JC, Mu F, Su M-Y, et al. Early clinical PET imaging results with the novel PHF-tau radioligand [F-18]-T807. J Alzheimers Dis JAD. (2013) 34:457–68. 10.3233/JAD-122059 [DOI] [PubMed] [Google Scholar]
  • 121.Chien DT, Szardenings AK, Bahri S, Walsh JC, Mu F, Xia C, et al. Early clinical PET imaging results with the novel PHF-tau radioligand [F18]-T808. J Alzheimers Dis JAD. (2014) 38:171–84. 10.3233/JAD-130098 [DOI] [PubMed] [Google Scholar]
  • 122.Johnson KA, Schultz A, Betensky RA, Becker JA, Sepulcre J, Rentz D, et al. Tau positron emission tomographic imaging in aging and early Alzheimer disease. Ann Neurol. (2016) 79:110–9. 10.1002/ana.24546 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Brier MR, Gordon B, Friedrichsen K, McCarthy J, Stern A, Christensen J, et al. Tau and Aβ imaging, CSF measures, and cognition in Alzheimer's disease. Sci Transl Med. (2016) 8:338ra66. 10.1126/scitranslmed.aaf2362 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Chhatwal JP, Schultz AP, Marshall GA, Boot B, Gomez-Isla T, Dumurgier J, et al. Temporal T807 binding correlates with CSF tau and phospho-tau in normal elderly. Neurology. (2016) 87:920–6. 10.1212/WNL.0000000000003050 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Lowe VJ, Curran G, Fang P, Liesinger AM, Josephs KA, Parisi JE, et al. An autoradiographic evaluation of AV-1451 Tau PET in dementia. Acta Neuropathol Commun. (2016) 4:58. 10.1186/s40478-016-0315-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Walji AM, Hostetler ED, Selnick H, Zeng Z, Miller P, Bennacef I, et al. Discovery of 6-(Fluoro-(18)F)-3-(1H-pyrrolo[2,3-c]pyridin-1-yl)isoquinolin-5-amine ([(18)F]-MK-6240): a Positron Emission Tomography (PET) Imaging Agent for Quantification of Neurofibrillary Tangles (NFTs). J Med Chem. (2016) 59:4778–89. 10.1021/acs.jmedchem.6b00166 [DOI] [PubMed] [Google Scholar]
  • 127.Hostetler ED, Walji AM, Zeng Z, Miller P, Bennacef I, Salinas C, et al. Preclinical characterization of 18F-MK-6240, a promising PET tracer for in vivo quantification of human neurofibrillary tangles. J Nucl Med Off Publ Soc Nucl Med. (2016) 57:1599–606. 10.2967/jnumed.115.171678 [DOI] [PubMed] [Google Scholar]
  • 128.Lohith TG, Bennacef I, Vandenberghe R, Vandenbulcke M, Salinas-Valenzuela C, Declercq R, et al. First-in-human brain imaging of Alzheimer dementia patients and elderly controls with 18F-MK-6240, a PET tracer targeting neurofibrillary tangle pathology. J Nucl Med Off Publ Soc Nucl Med. (2019) 60:107–14. 10.2967/jnumed.118.208215 [DOI] [PubMed] [Google Scholar]
  • 129.Pedersen SF, Sandholt BV, Keller SH, Hansen AE, Clemmensen AE, Sillesen H, et al. 64Cu-DOTATATE PET/MRI for detection of activated macrophages in carotid atherosclerotic plaques. Arterioscler Thromb Vasc Biol. (2015) 35:1696–703. 10.1161/ATVBAHA.114.305067 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Brosch JR, Farlow MR, Risacher SL, Apostolova LG. Tau imaging in alzheimer's disease diagnosis and clinical trials. Neurotherapeutics. (2017) 14:62–8. 10.1007/s13311-016-0490-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Rosenmann H. Immunotherapy for targeting tau pathology in Alzheimer's disease and tauopathies. Curr Alzheimer Res. (2013) 10:217–28. 10.2174/1567205011310030001 [DOI] [PubMed] [Google Scholar]
  • 132.Novak P, Schmidt R, Kontsekova E, Zilka N, Kovacech B, Skrabana R, et al. Safety and immunogenicity of the tau vaccine AADvac1 in patients with Alzheimer's disease: a randomised, double-blind, placebo-controlled, phase 1 trial. Lancet Neurol. (2017) 16:123–34. 10.1016/S1474-4422(16)30331-3 [DOI] [PubMed] [Google Scholar]
  • 133.Panza F, Solfrizzi V, Seripa D, Imbimbo BP, Lozupone M, Santamato A, et al. Tau-based therapeutics for Alzheimer's disease: active and passive immunotherapy. Immunotherapy. (2016) 8:1119–34. 10.2217/imt-2016-0019 [DOI] [PubMed] [Google Scholar]
  • 134.Barret O, Alagille D, Sanabria S, Comley RA, Weimer RM, Borroni E, et al. Kinetic modeling of the Tau PET tracer 18F-AV-1451 in human healthy volunteers and Alzheimer disease subjects. J Nucl Med Off Publ Soc Nucl Med. (2017) 58:1124–31. 10.2967/jnumed.116.182881 [DOI] [PubMed] [Google Scholar]
  • 135.Maass A, Landau S, Baker SL, Horng A, Lockhart SN, La Joie R, et al. Comparison of multiple tau-PET measures as biomarkers in aging and Alzheimer's disease. NeuroImage. (2017) 157:448–63. 10.1016/j.neuroimage.2017.05.058 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Bejanin A, Schonhaut DR, La Joie R, Kramer JH, Baker SL, Sosa N, et al. Tau pathology and neurodegeneration contribute to cognitive impairment in Alzheimer's disease. Brain J Neurol. (2017) 140:3286–300. 10.1093/brain/awx243 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Ossenkoppele R, Rabinovici GD, Smith R, Cho H, Schöll M, Strandberg O, et al. Discriminative accuracy of [18F]flortaucipir positron emission tomography for alzheimer disease vs other neurodegenerative disorders. JAMA. (2018) 320:1151–62. 10.1001/jama.2018.12917 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Zhang W, Arteaga J, Cashion DK, Chen G, Gangadharmath U, Gomez LF, et al. A highly selective and specific PET tracer for imaging of tau pathologies. J Alzheimers Dis JAD. (2012) 31:601–12. 10.3233/JAD-2012-120712 [DOI] [PubMed] [Google Scholar]
  • 139.Choe YS, Lee K-H. PET radioligands for imaging of tau pathology: current status. Nucl Med Mol Imaging. (2015) 49:251–7. 10.1007/s13139-015-0374-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Harada R, Okamura N, Furumoto S, Furukawa K, Ishiki A, Tomita N, et al. [(18)F]THK-5117 PET for assessing neurofibrillary pathology in Alzheimer's disease. Eur J Nucl Med Mol Imaging. (2015) 42:1052–61. 10.1007/s00259-015-3035-4 [DOI] [PubMed] [Google Scholar]
  • 141.Okamura N, Furumoto S, Harada R, Tago T, Yoshikawa T, Fodero-Tavoletti M, et al. Novel 18F-labeled arylquinoline derivatives for noninvasive imaging of tau pathology in Alzheimer disease. J Nucl Med Off Publ Soc Nucl Med. (2013) 54:1420–7. 10.2967/jnumed.112.117341 [DOI] [PubMed] [Google Scholar]
  • 142.Okamura N, Furumoto S, Fodero-Tavoletti MT, Mulligan RS, Harada R, Yates P, et al. Non-invasive assessment of Alzheimer's disease neurofibrillary pathology using 18F-THK5105 PET. Brain J Neurol. (2014) 137(Pt 6):1762–71. 10.1093/brain/awu064 [DOI] [PubMed] [Google Scholar]
  • 143.Shimada H, Kitamura S, Shinotoh H, Endo H, Niwa F, Hirano S, et al. Association between Aβ and tau accumulations and their influence on clinical features in aging and Alzheimer's disease spectrum brains: A [11C]PBB3-PET study. Alzheimers Dement Amst Neth. (2017) 6:11–20. 10.1016/j.jalz.2016.06.998 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Perez-Soriano A, Arena JE, Dinelle K, Miao Q, McKenzie J, Neilson N, et al. PBB3 imaging in Parkinsonian disorders: evidence for binding to tau and other proteins. Mov Disord Off J Mov Disord Soc. (2017) 32:1016–24. 10.1002/mds.27029 [DOI] [PubMed] [Google Scholar]
  • 145.Shinotoh H, Shimada H, Kokubo Y, Tagai K, Niwa F, Kitamura S, et al. Tau imaging detects distinctive distribution of tau pathology in ALS/PDC on the Kii Peninsula. Neurology. (2019) 92:e136–47. 10.1212/WNL.0000000000006736 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146.Narayanaswami V, Dahl K, Bernard-Gauthier V, Josephson L, Cumming P, Vasdev N. Emerging PET radiotracers and targets for imaging of neuroinflammation in neurodegenerative diseases: outlook beyond TSPO. Mol Imaging. (2018) 17:1536012118792317. 10.1177/1536012118792317 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Vivash L, O'Brien TJ. Imaging microglial activation with TSPO PET: lighting up neurologic diseases? J Nucl Med Off Publ Soc Nucl Med. (2016) 57:165–8. 10.2967/jnumed.114.141713 [DOI] [PubMed] [Google Scholar]
  • 148.Dupont A-C, Largeau B, Santiago Ribeiro MJ, Guilloteau D, Tronel C, Arlicot N. Translocator Protein-18 kDa (TSPO) Positron Emission Tomography (PET) imaging and its clinical impact in neurodegenerative diseases. Int J Mol Sci. (2017) 18:E785. 10.3390/ijms18040785 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Fan Z, Calsolaro V, Atkinson RA, Femminella GD, Waldman A, Buckley C, et al. Flutriciclamide (18F-GE180) PET: first-in-human PET study of novel third-generation in vivo marker of human translocator protein. J Nucl Med Off Publ Soc Nucl Med. (2016) 57:1753–9. 10.2967/jnumed.115.169078 [DOI] [PubMed] [Google Scholar]
  • 150.Ikawa M, Lohith TG, Shrestha S, Telu S, Zoghbi SS, Castellano S, et al. 11C-ER176, a radioligand for 18-kDa translocator protein, has adequate sensitivity to robustly image all three affinity genotypes in human brain. J Nucl Med Off Publ Soc Nucl Med. (2017) 58:320–5. 10.2967/jnumed.116.178996 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Rodriguez-Vieitez E, Ni R, Gulyás B, Tóth M, Häggkvist J, Halldin C, et al. Astrocytosis precedes amyloid plaque deposition in Alzheimer APPswe transgenic mouse brain: a correlative positron emission tomography and in vitro imaging study. Eur J Nucl Med Mol Imaging. (2015) 42:1119–32. 10.1007/s00259-015-3047-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Shukuri M, Takashima-Hirano M, Tokuda K, Takashima T, Matsumura K, Inoue O, et al. In vivo expression of cyclooxygenase-1 in activated microglia and macrophages during neuroinflammation visualized by PET with 11C-ketoprofen methyl ester. J Nucl Med Off Publ Soc Nucl Med. (2011) 52:1094–101. 10.2967/jnumed.110.084046 [DOI] [PubMed] [Google Scholar]
  • 153.Ohnishi A, Senda M, Yamane T, Mikami T, Nishida H, Nishio T, et al. Exploratory human PET study of the effectiveness of (11)C-ketoprofen methyl ester, a potential biomarker of neuroinflammatory processes in Alzheimer's disease. Nucl Med Biol. (2016) 43:438–44. 10.1016/j.nucmedbio.2016.04.005 [DOI] [PubMed] [Google Scholar]
  • 154.Boutagy NE, Wu J, Cai Z, Zhang W, Booth CJ, Kyriakides TC, et al. In vivo reactive oxygen species detection with a novel positron emission tomography tracer, 18F-DHMT, allows for early detection of anthracycline-induced cardiotoxicity in rodents. JACC Basic Transl Sci. (2018) 3:378–90. 10.1016/j.jacbts.2018.02.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Hou C, Hsieh C-J, Li S, Lee H, Graham TJ, Xu K, et al. Development of a positron emission tomography radiotracer for imaging elevated levels of superoxide in neuroinflammation. ACS Chem Neurosci. (2018) 9:578–86. 10.1021/acschemneuro.7b00385 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Alam MM, Lee J, Lee S-Y. Recent progress in the development of TSPO PET ligands for neuroinflammation imaging in neurological diseases. Nucl Med Mol Imaging. (2017) 51:283–96. 10.1007/s13139-017-0475-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 157.Passamonti L, Rodríguez PV, Hong YT, Allinson KSJ, Bevan-Jones WR, Williamson D, et al. [11C]PK11195 binding in Alzheimer disease and progressive supranuclear palsy. Neurology. (2018) 90:e1989–96. 10.1212/WNL.0000000000005610 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Edison P, Archer HA, Gerhard A, Hinz R, Pavese N, Turkheimer FE, et al. Microglia, amyloid, and cognition in Alzheimer's disease: An [11C](R)PK11195-PET and [11C]PIB-PET study. Neurobiol Dis. (2008) 32:412–9. 10.1016/j.nbd.2008.08.001 [DOI] [PubMed] [Google Scholar]
  • 159.Hamelin L, Lagarde J, Dorothée G, Leroy C, Labit M, Comley RA, et al. Early and protective microglial activation in Alzheimer's disease: a prospective study using 18F-DPA-714 PET imaging. Brain J Neurol. (2016) 139(Pt 4):1252–64. 10.1093/brain/aww017 [DOI] [PubMed] [Google Scholar]
  • 160.Golla SSV, Boellaard R, Oikonen V, Hoffmann A, van Berckel BNM, Windhorst AD, et al. Quantification of [18F]DPA-714 binding in the human brain: initial studies in healthy controls and Alzheimer's disease patients. J Cereb Blood Flow Metab Off J Int Soc Cereb Blood Flow Metab. (2015) 35:766–72. 10.1038/jcbfm.2014.261 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Varrone A, Mattsson P, Forsberg A, Takano A, Nag S, Gulyás B, et al. In vivo imaging of the 18-kDa translocator protein (TSPO) with [18F]FEDAA1106 and PET does not show increased binding in Alzheimer's disease patients. Eur J Nucl Med Mol Imaging. (2013) 40:921–31. 10.1007/s00259-013-2359-1 [DOI] [PubMed] [Google Scholar]
  • 162.Takano A, Piehl F, Hillert J, Varrone A, Nag S, Gulyás B, et al. In vivo TSPO imaging in patients with multiple sclerosis: a brain PET study with [18F]FEDAA1106. EJNMMI Res. (2013) 3:30 10.1186/2191-219X-3-30 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Wadsworth H, Jones PA, Chau W-F, Durrant C, Fouladi N, Passmore J, et al. [18F]GE-180: a novel fluorine-18 labelled PET tracer for imaging Translocator protein 18 kDa (TSPO). Bioorg Med Chem Lett. (2012) 22:1308–13. 10.1016/j.bmcl.2011.12.084 [DOI] [PubMed] [Google Scholar]
  • 164.Vomacka L, Albert NL, Lindner S, Unterrainer M, Mahler C, Brendel M, et al. TSPO imaging using the novel PET ligand [18F]GE-180: quantification approaches in patients with multiple sclerosis. EJNMMI Res. (2017) 7:89. 10.1186/s13550-017-0340-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Suridjan I, Pollock BG, Verhoeff NPLG, Voineskos AN, Chow T, Rusjan PM, et al. In-vivo imaging of grey and white matter neuroinflammation in Alzheimer's disease: a positron emission tomography study with a novel radioligand, [18F]-FEPPA. Mol Psychiatry. (2015) 20:1579–87. 10.1038/mp.2015.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166.Rodriguez-Vieitez E, Saint-Aubert L, Carter SF, Almkvist O, Farid K, Schöll M, et al. Diverging longitudinal changes in astrocytosis and amyloid PET in autosomal dominant Alzheimer's disease. Brain J Neurol. (2016) 139(Pt 3):922–36. 10.1093/brain/awv404 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Singhal T, O'Connor K, Dubey S, Belanger AP, Hurwitz S, Chu R, et al. 18F-PBR06 versus 11C-PBR28 PET for assessing white matter translocator protein binding in multiple sclerosis. Clin Nucl Med. (2018) 43:e289–95. 10.1097/RLU.0000000000002179 [DOI] [PubMed] [Google Scholar]
  • 168.Colasanti A, Guo Q, Muhlert N, Giannetti P, Onega M, Newbould RD, et al. In vivo assessment of brain white matter inflammation in multiple sclerosis with (18)F-PBR111 PET. J Nucl Med Off Publ Soc Nucl Med. (2014) 55:1112–8. 10.2967/jnumed.113.135129 [DOI] [PubMed] [Google Scholar]
  • 169.Ottoy J, De Picker L, Verhaeghe J, Deleye S, Wyffels L, Kosten L, et al. 18F-PBR111 PET imaging in healthy controls and schizophrenia: test-retest reproducibility and quantification of neuroinflammation. J Nucl Med Off Publ Soc Nucl Med. (2018) 59:1267–74. 10.2967/jnumed.117.203315 [DOI] [PubMed] [Google Scholar]
  • 170.Amhaoul H, Hamaide J, Bertoglio D, Reichel SN, Verhaeghe J, Geerts E, et al. Brain inflammation in a chronic epilepsy model: Evolving pattern of the translocator protein during epileptogenesis. Neurobiol Dis. (2015) 82:526–39. 10.1016/j.nbd.2015.09.004 [DOI] [PubMed] [Google Scholar]
  • 171.Fuchigami T, Nakayama M, Yoshida S. Development of PET and SPECT probes for glutamate receptors. ScientificWorldJournal. (2015) 2015:716514. 10.1155/2015/716514 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Bressan RA, Erlandsson K, Mulligan RS, Gunn RN, Cunningham VJ, Owens J, et al. Evaluation of NMDA receptors in vivo in schizophrenic patients with [123I]CNS 1261 and SPET: preliminary findings. Ann N Y Acad Sci. (2003) 1003:364–7. 10.1196/annals.1300.027 [DOI] [PubMed] [Google Scholar]
  • 173.Bressan RA, Erlandsson K, Stone JM, Mulligan RS, Krystal JH, Ell PJ, et al. Impact of schizophrenia and chronic antipsychotic treatment on [123I]CNS-1261 binding to N-methyl-D-aspartate receptors in vivo. Biol Psychiatry. (2005) 58:41–6. 10.1016/j.biopsych.2005.03.016 [DOI] [PubMed] [Google Scholar]
  • 174.Zanotti-Fregonara P, Xu R, Zoghbi SS, Liow J-S, Fujita M, Veronese M, et al. The PET radioligand 18F-FIMX images and quantifies metabotropic glutamate receptor 1 in proportion to the regional density of its gene transcript in human brain. J Nucl Med Off Publ Soc Nucl Med. (2016) 57:242–7. 10.2967/jnumed.115.162461 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.Barret O, Tamagnan G, Batis J, Jennings D, Zubal G, Russell D, et al. Quantitation of glutamate mGluR5 receptor with 18F-FPEB PET in humans. J Nucl Med. (2010) 51(Suppl. 2):215 10.1016/j.neuroimage.2010.04.164 [DOI] [Google Scholar]
  • 176.Leurquin-Sterk G, Ceccarini J, Crunelle CL, de Laat B, Verbeek J, Deman S, et al. Lower limbic metabotropic glutamate receptor 5 availability in alcohol dependence. J Nucl Med Off Publ Soc Nucl Med. (2018) 59:682–90. 10.2967/jnumed.117.199422 [DOI] [PubMed] [Google Scholar]
  • 177.Abdallah CG, Hannestad J, Mason GF, Holmes SE, DellaGioia N, Sanacora G, et al. Metabotropic glutamate receptor 5 and glutamate involvement in major depressive disorder: a multimodal imaging study. Biol Psychiatry Cogn Neurosci Neuroimaging. (2017) 2:449–56. 10.1016/j.bpsc.2017.03.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178.Fatemi SH, Wong DF, Brašić JR, Kuwabara H, Mathur A, Folsom TD, et al. Metabotropic glutamate receptor 5 tracer [18F]-FPEB displays increased binding potential in postcentral gyrus and cerebellum of male individuals with autism: a pilot PET study. Cerebellum Ataxias. (2018) 5:3. 10.1186/s40673-018-0082-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179.Salabert A-S, Fonta C, Fontan C, Adel D, Alonso M, Pestourie C, et al. Radiolabeling of [18F]-fluoroethylnormemantine and initial in vivo evaluation of this innovative PET tracer for imaging the PCP sites of NMDA receptors. Nucl Med Biol. (2015) 42:643–53. 10.1016/j.nucmedbio.2015.04.001 [DOI] [PubMed] [Google Scholar]
  • 180.Martinez D, Slifstein M, Nabulsi N, Grassetti A, Urban NBL, Perez A, et al. Imaging glutamate homeostasis in cocaine addiction with the metabotropic glutamate receptor 5 positron emission tomography radiotracer [(11)C]ABP688 and magnetic resonance spectroscopy. Biol Psychiatry. (2014) 75:165–71. 10.1016/j.biopsych.2013.06.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Deschwanden A, Karolewicz B, Feyissa AM, Treyer V, Ametamey SM, Johayem A, et al. Reduced metabotropic glutamate receptor 5 density in major depression determined by [(11)C]ABP688 PET and postmortem study. Am J Psychiatry. (2011) 168:727–34. 10.1176/appi.ajp.2011.09111607 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 182.Leuzy A, Zimmer ER, Dubois J, Pruessner J, Cooperman C, Soucy J-P, et al. In vivo characterization of metabotropic glutamate receptor type 5 abnormalities in behavioral variant FTD. Brain Struct Funct. (2016) 221:1387–402. 10.1007/s00429-014-0978-3 [DOI] [PubMed] [Google Scholar]
  • 183.Akkus F, Mihov Y, Treyer V, Ametamey SM, Johayem A, Senn S, et al. Metabotropic glutamate receptor 5 binding in male patients with alcohol use disorder. Transl Psychiatry. (2018) 8:17. 10.1038/s41398-017-0066-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 184.Toyohara J, Sakata M, Oda K, Ishii K, Ito K, Hiura M, et al. Initial human PET studies of metabotropic glutamate receptor type 1 ligand 11C-ITMM. J Nucl Med Off Publ Soc Nucl Med. (2013) 54:1302–7. 10.2967/jnumed.113.119891 [DOI] [PubMed] [Google Scholar]
  • 185.Sephton SM, Herde AM, Mu L, Keller C, Rüdisühli S, Auberson Y, et al. Preclinical evaluation and test-retest studies of [(18)F]PSS232, a novel radioligand for targeting metabotropic glutamate receptor 5 (mGlu5). Eur J Nucl Med Mol Imaging. (2015) 42:128–37. 10.1007/s00259-014-2883-7 [DOI] [PubMed] [Google Scholar]
  • 186.Warnock G, Sommerauer M, Mu L, Pla Gonzalez G, Geistlich S, Treyer V, et al. A first-in-man PET study of [18F]PSS232, a fluorinated ABP688 derivative for imaging metabotropic glutamate receptor subtype 5. Eur J Nucl Med Mol Imaging. (2018) 45:1041–51. 10.1007/s00259-017-3879-x [DOI] [PubMed] [Google Scholar]
  • 187.Laere KV, Koole M, Hoon J de, Hecken AV, Langlois X, Andres JI, et al. Biodistribution, dosimetry and kinetic modeling of [11C]JNJ-42491293, a PET tracer for the mGluR2 receptor in the human brain. J Nucl Med. (2012) 53(Suppl. 1):355. [Google Scholar]
  • 188.Sahai S. Glutamate in the mammalian CNS. Eur Arch Psychiatry Clin Neurosci. (1990) 240:121–33. 10.1007/BF02189982 [DOI] [PubMed] [Google Scholar]
  • 189.Villmann C, Strutz N, Morth T, Hollmann M. Investigation by ion channel domain transplantation of rat glutamate receptor subunits, orphan receptors and a putative NMDA receptor subunit. Eur J Neurosci. (1999) 11:1765–78. 10.1046/j.1460-9568.1999.00594.x [DOI] [PubMed] [Google Scholar]
  • 190.Paarmann I, Frermann D, Keller BU, Villmann C, Breitinger HG, Hollmann M. Kinetics and subunit composition of NMDA receptors in respiratory-related neurons. J Neurochem. (2005) 93:812–24. 10.1111/j.1471-4159.2005.03027.x [DOI] [PubMed] [Google Scholar]
  • 191.Petrenko AB, Yamakura T, Baba H, Shimoji K. The role of N-methyl-D-aspartate (NMDA) receptors in pain: a review. Anesth Analg. (2003) 97:1108–16. 10.1213/01.ANE.0000081061.12235.55 [DOI] [PubMed] [Google Scholar]
  • 192.Dingledine R, Borges K, Bowie D, Traynelis SF. The glutamate receptor ion channels. Pharmacol Rev. (1999) 51:7–61. [PubMed] [Google Scholar]
  • 193.Song XJ, Zhao ZQ. Cooperative interaction among the various regulatory sites within the NMDA receptor-channel complex in modulating the evoked responses to noxious thermal stimuli of spinal dorsal horn neurons in the cat. Exp Brain Res. (1998) 120:257–62. 10.1007/s002210050399 [DOI] [PubMed] [Google Scholar]
  • 194.Sattler R, Xiong Z, Lu WY, Hafner M, MacDonald JF, Tymianski M. Specific coupling of NMDA receptor activation to nitric oxide neurotoxicity by PSD-95 protein. Science. (1999) 284:1845–8. 10.1126/science.284.5421.1845 [DOI] [PubMed] [Google Scholar]
  • 195.Leker RR, Shohami E. Cerebral ischemia and trauma-different etiologies yet similar mechanisms: neuroprotective opportunities. Brain Res Brain Res Rev. (2002) 39:55–73. 10.1016/S0165-0173(02)00157-1 [DOI] [PubMed] [Google Scholar]
  • 196.Kalia LV, Kalia SK, Salter MW. NMDA receptors in clinical neurology: excitatory times ahead. Lancet Neurol. (2008) 7:742–55. 10.1016/S1474-4422(08)70165-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 197.Lau CG, Zukin RS. NMDA receptor trafficking in synaptic plasticity and neuropsychiatric disorders. Nat Rev Neurosci. (2007) 8:413–26. 10.1038/nrn2153 [DOI] [PubMed] [Google Scholar]
  • 198.Ponchant M, Kamenkaj M, Crouzel C. Synthesis of 3-[18F]-fluoromethyl-TCP1, A potential tool for pet study of the nmda receptor channel complex. J Label Compd Radiopharm. (1992) 31:955–60. 10.1002/jlcr.2580311115 [DOI] [Google Scholar]
  • 199.Ponchant M, Crouzel C, Kamenka JM, Pappata S. Synthesis of a new analog of PCP Fluorine-18 3-fluoromethyl-TCP, a potent ligand for the NMDA glutamatergic receptor. J Label Compd Radiopharm. (1993) 32:352–3. [Google Scholar]
  • 200.Shiue C-Y, Vallabhahosula S, Wolf AP, Dewey SL, Fowler JS, Schlyer DJ, et al. Carbon-11 labelled ketamine—Synthesis, distribution in mice and PET studies in baboons. Nucl Med Biol. (1997) 24:145–50. 10.1016/S0969-8051(96)00186-2 [DOI] [PubMed] [Google Scholar]
  • 201.Ametamey SM, Bruehlmeier M, Kneifel S, Kokic M, Honer M, Arigoni M, et al. PET studies of 18F-memantine in healthy volunteers. Nucl Med Biol. (2002) 29:227–31. 10.1016/S0969-8051(01)00293-1 [DOI] [PubMed] [Google Scholar]
  • 202.Ametamey SM, Samnick S, Leenders KL, Vontobel P, Quack G, Parsons CG, et al. Fluorine-18 radiolabelling, biodistribution studies and preliminary pet evaluation of a new memantine derivative for imaging the NMDA receptor. J Recept Signal Transduct. (1999) 19:129–41. 10.3109/10799899909036640 [DOI] [PubMed] [Google Scholar]
  • 203.Kiesewetter DO, Finn RD, Rice KC, Monn JA. Synthesis of 11C-labeled (±)-5-methyl-10, 11-dihydro-5H-dibenzo[a,d]cyclohepten-5, 10-imine [(±)-[11C]MK801]. Int J Rad Appl Instrum. (1990) 41:139–42. 10.1016/0883-2889(90)90098-2 [DOI] [PubMed] [Google Scholar]
  • 204.Brown DR, Wyper DJ, Owens J, Patterson J, Kelly RC, Hunter R, et al. 123Iodo-MK-801: a spect agent for imaging the pattern and extent of glutamate (NMDA) receptor activation in Alzheimer's disease. J Psychiatr Res. (1997) 31:605–19. 10.1016/S0022-3956(97)00031-9 [DOI] [PubMed] [Google Scholar]
  • 205.Majo VJ, Prabhakaran J, Mann JJ, Kumar JSD. PET and SPECT tracers for glutamate receptors. Drug Discov Today. (2013) 18:173–84. 10.1016/j.drudis.2012.10.004 [DOI] [PubMed] [Google Scholar]
  • 206.Sobrio F, Gilbert G, Perrio C, Barré L, Debruyne D. PET and SPECT imaging of the NMDA receptor system: an overview of radiotracer development. Mini Rev Med Chem. (2010) 10:870–86. 10.2174/138955710791608299 [DOI] [PubMed] [Google Scholar]
  • 207.Stone JM. Imaging the glutamate system in humans: relevance to drug discovery for schizophrenia. Curr Pharm Des. (2009) 15:2594–602. 10.2174/138161209788957438 [DOI] [PubMed] [Google Scholar]
  • 208.McGinnity CJ, Hammers A, Riaño Barros DA, Luthra SK, Jones PA, Trigg W, et al. Initial evaluation of 18F-GE-179, a putative PET Tracer for activated N-methyl D-aspartate receptors. J Nucl Med Off Publ Soc Nucl Med. (2014) 55:423–30. 10.2967/jnumed.113.130641 [DOI] [PubMed] [Google Scholar]
  • 209.López-Picón F, Snellman A, Shatillo O, Lehtiniemi P, Grönroos TJ, Marjamäki P, et al. Ex vivo tracing of NMDA and GABA-A receptors in rat brain after traumatic brain injury using 18F-GE-179 and 18F-GE-194 autoradiography. J Nucl Med Off Publ Soc Nucl Med. (2016) 57:1442–7. 10.2967/jnumed.115.167403 [DOI] [PubMed] [Google Scholar]
  • 210.Zhou W, Bao W, Jiang D, Kong Y, Hua F, Lu X, et al. [18F]-GE-179 positron emission tomography (PET) tracer for N-methyl-d-aspartate receptors: One-pot synthesis and preliminary micro-PET study in a rat model of MCAO. Nucl Med Biol. (2018) 61:45–55. 10.1016/j.nucmedbio.2018.04.002 [DOI] [PubMed] [Google Scholar]
  • 211.Schoenberger M, Schroeder FA, Placzek MS, Carter RL, Rosen BR, Hooker JM, et al. In vivo [18F]GE-179 brain signal does not show NMDA-specific modulation with drug challenges in rodents and nonhuman primates. ACS Chem Neurosci. (2018) 9:298–305. 10.1021/acschemneuro.7b00327 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 212.Salabert A-S, Mora-Ramirez E, Beaurain M, Alonso M, Fontan C, Tahar HB, et al. Evaluation of [18F]FNM biodistribution and dosimetry based on whole-body PET imaging of rats. Nucl Med Biol. (2018) 59:1–8. 10.1016/j.nucmedbio.2017.12.003 [DOI] [PubMed] [Google Scholar]
  • 213.van der Aart J, Golla SSV, van der Pluijm M, Schwarte LA, Schuit RC, Klein PJ, et al. First in human evaluation of [18F]PK-209, a PET ligand for the ion channel binding site of NMDA receptors. EJNMMI Res. (2018) 8:69. 10.1186/s13550-018-0424-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 214.Roger G, Dollé F, De Bruin B, Liu X, Besret L, Bramoullé Y, et al. Radiosynthesis and pharmacological evaluation of [11C]EMD-95885: a high affinity ligand for NR2B-containing NMDA receptors. Bioorg Med Chem. (2004) 12:3229–37. 10.1016/j.bmc.2004.03.065 [DOI] [PubMed] [Google Scholar]
  • 215.Labas R, Gilbert G, Nicole O, Dhilly M, Abbas A, Tirel O, et al. Synthesis, evaluation and metabolic studies of radiotracers containing a 4-(4-[18F]-fluorobenzyl)piperidin-1-yl moiety for the PET imaging of NR2B NMDA receptors. Eur J Med Chem. (2011) 46:2295–309. 10.1016/j.ejmech.2011.03.013 [DOI] [PubMed] [Google Scholar]
  • 216.Yamasaki T, Maeda J, Fujinaga M, Nagai Y, Hatori A, Yui J, et al. PET brain kinetics studies of (11)C-ITMM and (11)C-ITDM,radioprobes for metabotropic glutamate receptor type 1, in a nonhuman primate. Am J Nucl Med Mol Imaging. (2014) 4:260–9. [PMC free article] [PubMed] [Google Scholar]
  • 217.Pillai RLI, Tipre DN. Metabotropic glutamate receptor 5 – a promising target in drug development and neuroimaging. Eur J Nucl Med Mol Imaging. (2016) 43:1151–70. 10.1007/s00259-015-3301-5 [DOI] [PubMed] [Google Scholar]
  • 218.Sullivan EV, Adalsteinsson E, Sood R, Mayer D, Bell R, McBride W, et al. Longitudinal brain magnetic resonance imaging study of the alcohol-preferring rat. Part I: adult brain growth. Alcohol Clin Exp Res. (2006) 30:1234–47. 10.1111/j.1530-0277.2006.00145.x [DOI] [PubMed] [Google Scholar]
  • 219.Sullivan JM, Lim K, Labaree D, Lin S, McCarthy TJ, Seibyl JP, et al. Kinetic analysis of the metabotropic glutamate subtype 5 tracer [18F]FPEB in bolus and bolus-plus-constant-infusion studies in humans. J Cereb Blood Flow Metab. (2013) 33:532. 10.1038/jcbfm.2012.195 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 220.Kang Y, Henchcliffe C, Verma A, Vallabhajosula S, He B, Kothari PJ, et al. 18F-FPEB PET/CT shows mGluR5 upregulation in Parkinson's disease. J Neuroimaging Off J Am Soc Neuroimaging. (2019) 29:97–103. 10.1111/jon.12563 [DOI] [PubMed] [Google Scholar]
  • 221.de Laat B, Weerasekera A, Leurquin-Sterk G, Gsell W, Bormans G, Himmelreich U, et al. Effects of alcohol exposure on the glutamatergic system: a combined longitudinal 18 F-FPEB and 1 H-MRS study in rats. Addict Biol. (2018) 24:696–706. 10.1111/adb.12635 [DOI] [PubMed] [Google Scholar]
  • 222.Holmes SE, Girgenti MJ, Davis MT, Pietrzak RH, DellaGioia N, Nabulsi N, et al. Altered metabotropic glutamate receptor 5 markers in PTSD: in vivo and postmortem evidence. Proc Natl Acad Sci USA. (2017) 114:8390–5. 10.1073/pnas.1701749114 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 223.Ametamey SM, Treyer V, Streffer J, Wyss MT, Schmidt M, Blagoev M, et al. Human PET studies of metabotropic glutamate receptor subtype 5 with 11C-ABP688. J Nucl Med Off Publ Soc Nucl Med. (2007) 48:247–52. [PubMed] [Google Scholar]
  • 224.Burger C, Deschwanden A, Ametamey S, Johayem A, Mancosu B, Wyss M, et al. Evaluation of a bolus/infusion protocol for 11C-ABP688, a PET tracer for mGluR5. Nucl Med Biol. (2010) 37:845–51. 10.1016/j.nucmedbio.2010.04.107 [DOI] [PubMed] [Google Scholar]
  • 225.DuBois JM, Rousset OG, Guiot M-C, Hall JA, Reader AJ, Soucy J-P, et al. Metabotropic Glutamate Receptor Type 5 (mGluR5) cortical abnormalities in focal cortical dysplasia identified in vivo with [11C]ABP688 Positron-Emission Tomography (PET) imaging. Cereb Cortex N Y N. (2016) 26:4170–9. 10.1093/cercor/bhw249 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 226.Akkus F, Treyer V, Ametamey SM, Johayem A, Buck A, Hasler G. Metabotropic glutamate receptor 5 neuroimaging in schizophrenia. Schizophr Res. (2017) 183:95–101. 10.1016/j.schres.2016.11.008 [DOI] [PubMed] [Google Scholar]
  • 227.Kim J-H, Joo Y-H, Son Y-D, Kim J-H, Kim Y-K, Kim H-K, et al. In vivo metabotropic glutamate receptor 5 availability-associated functional connectivity alterations in drug-naïve young adults with major depression. Eur Neuropsychopharmacol. (2018) 29:278–90. 10.1016/j.euroneuro.2018.12.001 [DOI] [PubMed] [Google Scholar]
  • 228.Esterlis I, DellaGioia N, Pietrzak RH, Matuskey D, Nabulsi N, Abdallah CG, et al. Ketamine-induced reduction in mGluR5 availability is associated with an antidepressant response: an [11C]ABP688 and PET imaging study in depression. Mol Psychiatry. (2018) 23:824–32. 10.1038/mp.2017.58 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 229.DeLorenzo C, DellaGioia N, Bloch M, Sanacora G, Nabulsi N, Abdallah C, et al. In vivo ketamine-induced changes in [11C]ABP688 binding to metabotropic glutamate receptor subtype 5. Biol Psychiatry. (2015) 77:266–75. 10.1016/j.biopsych.2014.06.024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230.Kosten L, Verhaeghe J, Wyffels L, Stroobants S, Staelens S. Acute ketamine infusion in rat does not affect in vivo [11C]ABP688 binding to metabotropic glutamate receptor subtype 5. Mol Imaging. (2018) 17:1536012118788636 10.1177/1536012118788636 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 231.O'Gorman Tuura R, Warnock G, Ametamey S, Treyer V, Noeske R, Buck A, et al. Imaging glutamate redistribution after acute N-acetylcysteine administration: a simultaneous PET/MR study. NeuroImage. (2019) 184:826–33. 10.1016/j.neuroimage.2018.10.017 [DOI] [PubMed] [Google Scholar]
  • 232.Müller Herde A, Boss SD, He Y, Schibli R, Mu L, Ametamey SM. Ketamine and ceftriaxone-induced alterations in glutamate levels do not impact the specific binding of metabotropic glutamate receptor subtype 5 radioligand [18F]PSS232 in the rat brain. Pharm Basel Switz. (2018) 11:E83 10.3390/ph11030083 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 233.Leurquin-Sterk G, Celen S, Laere KV, Koole M, Bormans G, Langlois X, et al. What we observe in vivo is not always what we see in vitro: development and validation of 11C-JNJ-42491293, a novel radioligand for mGluR2. J Nucl Med. (2017) 58:110–6. 10.2967/jnumed.116.176628 [DOI] [PubMed] [Google Scholar]
  • 234.Roy R, Niccolini F, Pagano G, Politis M. Cholinergic imaging in dementia spectrum disorders. Eur J Nucl Med Mol Imaging. (2016) 43:1376–86. 10.1007/s00259-016-3349-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 235.Perry EK, Gibson PH, Blessed G, Perry RH, Tomlinson BE. Neurotransmitter enzyme abnormalities in senile dementia: choline acetyltransferase and glutamic acid decarboxylase activities in necropsy brain tissue. J Neurol Sci. (1977) 34:247–65. 10.1016/0022-510X(77)90073-9 [DOI] [PubMed] [Google Scholar]
  • 236.Davis KL, Mohs RC, Marin D, Purohit DP, Perl DP, Lantz M, et al. Cholinergic markers in elderly patients with early signs of Alzheimer disease. JAMA. (1999) 281:1401–6. 10.1001/jama.281.15.1401 [DOI] [PubMed] [Google Scholar]
  • 237.Kuhl DE, Koeppe RA, Minoshima S, Snyder SE, Ficaro EP, Foster NL, et al. In vivo mapping of cerebral acetylcholinesterase activity in aging and Alzheimer's disease. Neurology. (1999) 52:691–9. 10.1212/WNL.52.4.691 [DOI] [PubMed] [Google Scholar]
  • 238.Shinotoh H, Namba H, Yamaguchi M, Fukushi K, Nagatsuka S, Iyo M, et al. Positron emission tomographic measurement of acetylcholinesterase activity reveals differential loss of ascending cholinergic systems in Parkinson's disease and progressive supranuclear palsy. Ann Neurol. (1999) 46:62–9. [PubMed] [Google Scholar]
  • 239.Bohnen NI, Kaufer DI, Ivanco LS, Lopresti B, Koeppe RA, Davis JG, et al. Cortical cholinergic function is more severely affected in parkinsonian dementia than in Alzheimer disease: an in vivo positron emission tomographic study. Arch Neurol. (2003) 60:1745–8. 10.1001/archneur.60.12.1745 [DOI] [PubMed] [Google Scholar]
  • 240.Bohnen NI, Kaufer DI, Hendrickson R, Ivanco LS, Lopresti B, Davis JG, et al. Cognitive correlates of alterations in acetylcholinesterase in Alzheimer's disease. Neurosci Lett. (2005) 380:127–32. 10.1016/j.neulet.2005.01.031 [DOI] [PubMed] [Google Scholar]
  • 241.Hilker R, Thomas AV, Klein JC, Weisenbach S, Kalbe E, Burghaus L, et al. Dementia in Parkinson disease: functional imaging of cholinergic and dopaminergic pathways. Neurology. (2005) 65:1716–22. 10.1212/01.wnl.0000191154.78131.f6 [DOI] [PubMed] [Google Scholar]
  • 242.Eggers C, Herholz K, Kalbe E, Heiss W-D. Cortical acetylcholine esterase activity and ApoE4-genotype in Alzheimer disease. Neurosci Lett. (2006) 408:46–50. 10.1016/j.neulet.2006.08.061 [DOI] [PubMed] [Google Scholar]
  • 243.Irie T, Fukushi K, Akimoto Y, Tamagami H, Nozaki T. Design and evaluation of radioactive acetylcholine analogs for mapping brain acetylcholinesterase (AchE) in vivo. Nucl Med Biol. (1994) 21:801–8. 10.1016/0969-8051(94)90159-7 [DOI] [PubMed] [Google Scholar]
  • 244.Koeppe RA, Frey KA, Snyder SE, Meyer P, Kilbourn MR, Kuhl DE. Kinetic modeling of N-[11C]Methylpiperidin-4-yl propionate: alternatives for analysis of an irreversible positron emission tomography tracer for measurement of acetylcholinesterase activity in human brain. J Cereb Blood Flow Metab. (1999) 19:1150–63. 10.1097/00004647-199910000-00012 [DOI] [PubMed] [Google Scholar]
  • 245.Mazere J, Meissner WG, Sibon I, Lamare F, Tison F, Allard M, et al. [(123)I]-IBVM SPECT imaging of cholinergic systems in multiple system atrophy: a specific alteration of the ponto-thalamic cholinergic pathways (Ch5-Ch6). NeuroImage Clin. (2013) 3:212–7. 10.1016/j.nicl.2013.07.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 246.Nejad-Davarani S, Koeppe RA, Albin RL, Frey KA, Müller MLTM, Bohnen NI. Quantification of brain cholinergic denervation in dementia with Lewy bodies using PET imaging with [18F]-FEOBV. Mol Psychiatry. (2018) 24:322–7. 10.1038/s41380-018-0130-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 247.Petrou M, Frey KA, Kilbourn MR, Scott PJH, Raffel DM, Bohnen NI, et al. In vivo imaging of human cholinergic nerve terminals with (-)-5-(18)F-fluoroethoxybenzovesamicol: biodistribution, dosimetry, and tracer kinetic analyses. J Nucl Med Off Publ Soc Nucl Med. (2014) 55:396–404. 10.2967/jnumed.113.124792 [DOI] [PubMed] [Google Scholar]
  • 248.Nordberg A, Hartvig P, Lilja A, Viitanen M, Amberla K, Lundqvist H, et al. Decreased uptake and binding of 11C-nicotine in brain of Alzheimer patients as visualized by positron emission tomography. J Neural Transm Park Dis Dement Sect. (1990) 2:215–24. 10.1007/BF02257652 [DOI] [PubMed] [Google Scholar]
  • 249.Nordberg A, Lundqvist H, Hartvig P, Lilja A, Långström B. Kinetic analysis of regional (S)(-)11C-nicotine binding in normal and Alzheimer brains–in vivo assessment using positron emission tomography. Alzheimer Dis Assoc Disord. (1995) 9:21–7. 10.1097/00002093-199505000-00006 [DOI] [PubMed] [Google Scholar]
  • 250.Kadir A, Almkvist O, Wall A, Långström B, Nordberg A. PET imaging of cortical 11C-nicotine binding correlates with the cognitive function of attention in Alzheimer's disease. Psychopharmacology. (2006) 188:509–20. 10.1007/s00213-006-0447-7 [DOI] [PubMed] [Google Scholar]
  • 251.Sabbagh MN, Shah F, Reid RT, Sue L, Connor DJ, Peterson LKN, et al. Pathologic and nicotinic receptor binding differences between mild cognitive impairment, Alzheimer disease, and normal aging. Arch Neurol. (2006) 63:1771–6. 10.1001/archneur.63.12.1771 [DOI] [PubMed] [Google Scholar]
  • 252.O'Brien JT, Colloby SJ, Pakrasi S, Perry EK, Pimlott SL, Wyper DJ, et al. Alpha4beta2 nicotinic receptor status in Alzheimer's disease using 123I-5IA-85380 single-photon-emission computed tomography. J Neurol Neurosurg Psychiatry. (2007) 78:356–62. 10.1136/jnnp.2006.108209 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253.Sabri O, Kendziorra K, Wolf H, Gertz H-J, Brust P. Acetylcholine receptors in dementia and mild cognitive impairment. Eur J Nucl Med Mol Imaging. (2008) 35 (Suppl. 1):S30–45. 10.1007/s00259-007-0701-1 [DOI] [PubMed] [Google Scholar]
  • 254.Okada H, Ouchi Y, Ogawa M, Futatsubashi M, Saito Y, Yoshikawa E, et al. Alterations in α4β2 nicotinic receptors in cognitive decline in Alzheimer's aetiopathology. Brain J Neurol. (2013) 136(Pt 10):3004–17. 10.1093/brain/awt195 [DOI] [PubMed] [Google Scholar]
  • 255.Hu M, Waring JF, Gopalakrishnan M, Li J. Role of GSK-3beta activation and alpha7 nAChRs in Abeta(1-42)-induced tau phosphorylation in PC12 cells. J Neurochem. (2008) 106:1371–7. 10.1111/j.1471-4159.2008.05483.x [DOI] [PubMed] [Google Scholar]
  • 256.Dziewczapolski G, Glogowski CM, Masliah E, Heinemann SF. Deletion of the alpha 7 nicotinic acetylcholine receptor gene improves cognitive deficits and synaptic pathology in a mouse model of Alzheimer's disease. J Neurosci Off J Soc Neurosci. (2009) 29:8805–15. 10.1523/JNEUROSCI.6159-08.2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 257.Asahina M, Suhara T, Shinotoh H, Inoue O, Suzuki K, Hattori T. Brain muscarinic receptors in progressive supranuclear palsy and Parkinson's disease: a positron emission tomographic study. J Neurol Neurosurg Psychiatry. (1998) 65:155–63. 10.1136/jnnp.65.2.155 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 258.Colloby SJ, Pakrasi S, Firbank MJ, Perry EK, Piggott MA, Owens J, et al. In vivo SPECT imaging of muscarinic acetylcholine receptors using (R,R) 123I-QNB in dementia with Lewy bodies and Parkinson's disease dementia. NeuroImage. (2006) 33:423–9. 10.1016/j.neuroimage.2006.07.026 [DOI] [PubMed] [Google Scholar]
  • 259.Kadir A, Darreh-Shori T, Almkvist O, Wall A, Grut M, Strandberg B, et al. PET imaging of the in vivo brain acetylcholinesterase activity and nicotine binding in galantamine-treated patients with AD. Neurobiol Aging. (2008) 29:1204–17. 10.1016/j.neurobiolaging.2007.02.020 [DOI] [PubMed] [Google Scholar]
  • 260.Otto CA, Mulholland GK, Perry SE, Combs R, Sherman PS, Fisher SJ. In vitro and ex vivo evaluation of cyclic aminoalkyl benzilates as potential emission tomography ligands for the muscarinic receptor. Int J Rad Appl Instrum B. (1989) 16:51–5. 10.1016/0883-2897(89)90215-8 [DOI] [PubMed] [Google Scholar]
  • 261.Horti AG, Koren AO, Lee KS, Mukhin AG, Vaupel DB, Kimes AS, et al. Radiosynthesis and preliminary evaluation of 5-[123/125I]iodo-3-(2(S)-azetidinylmethoxy)pyridine: a radioligand for nicotinic acetylcholine receptors. Nucl Med Biol. (1999) 26:175–82. 10.1016/S0969-8051(98)00086-9 [DOI] [PubMed] [Google Scholar]
  • 262.Pakrasi S, Colloby SJ, Firbank MJ, Perry EK, Wyper DJ, Owens J, et al. Muscarinic acetylcholine receptor status in Alzheimer's disease assessed using (R, R) 123I-QNB SPECT. J Neurol. (2007) 254:907–13. 10.1007/s00415-006-0473-8 [DOI] [PubMed] [Google Scholar]
  • 263.Shimada H, Hirano S, Shinotoh H, Aotsuka A, Sato K, Tanaka N, et al. Mapping of brain acetylcholinesterase alterations in Lewy body disease by PET. Neurology. (2009) 73:273–8. 10.1212/WNL.0b013e3181ab2b58 [DOI] [PubMed] [Google Scholar]
  • 264.Aghourian M, Legault-Denis C, Soucy J-P, Rosa-Neto P, Gauthier S, Kostikov A, et al. Quantification of brain cholinergic denervation in Alzheimer's disease using PET imaging with [18F]-FEOBV. Mol Psychiatry. (2017) 22:1531–8. 10.1038/mp.2017.183 [DOI] [PubMed] [Google Scholar]
  • 265.Yoshida T, Kuwabara Y, Ichiya Y, Sasaki M, Fukumura T, Ichimiya A, et al. Cerebral muscarinic acetylcholinergic receptor measurement in Alzheimer's disease patients on 11C-N-methyl-4-piperidyl benzilate–comparison with cerebral blood flow and cerebral glucose metabolism. Ann Nucl Med. (1998) 12:35–42. 10.1007/BF03165414 [DOI] [PubMed] [Google Scholar]
  • 266.Koren AO, Horti AG, Mukhin AG, Gündisch D, Kimes AS, Dannals RF, et al. 2-, 5-, and 6-Halo-3-(2(S)-azetidinylmethoxy)pyridines: synthesis, affinity for nicotinic acetylcholine receptors, and molecular modeling. J Med Chem. (1998) 41:3690–8. 10.1021/jm980170a [DOI] [PubMed] [Google Scholar]
  • 267.Sihver W, Fasth KJ, Ogren M, Bivehed H, Bergström M, Nordberg A, et al. In vitro evaluation of 11C-labeled (S)-nicotine, (S)-3-methyl-5-(1-methyl-2-pyrrolidinyl)isoxazole, and (R,S)-1-methyl-2-(3-pyridyl)azetidine as nicotinic receptor ligands for positron emission tomography studies. J Neurochem. (1998) 71:1750–60. 10.1046/j.1471-4159.1998.71041750.x [DOI] [PubMed] [Google Scholar]
  • 268.Jung YW, Frey KA, Mulholland GK, del Rosario R, Sherman PS, Raffel DM, et al. Vesamicol receptor mapping of brain cholinergic neurons with radioiodine-labeled positional isomers of benzovesamicol. J Med Chem. (1996) 39:3331–42. 10.1021/jm9507486 [DOI] [PubMed] [Google Scholar]
  • 269.Horti AG, Gao Y, Kuwabara H, Wang Y, Abazyan S, Yasuda RP, et al. 18F-ASEM, a radiolabeled antagonist for imaging the α7-nicotinic acetylcholine receptor with PET. J Nucl Med. (2014) 55:672–7. 10.2967/jnumed.113.132068 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 270.Wong DF, Kuwabara H, Horti AG, Roberts JM, Nandi A, Cascella N, et al. Brain PET imaging of α7-nAChR with [18F]ASEM: reproducibility, occupancy, receptor density, and changes in schizophrenia. Int J Neuropsychopharmacol. (2018) 21:656–67. 10.1101/245118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 271.Lin S-F, Bois F, Holden D, Nabulsi N, Pracitto R, Gao H, et al. The search for a subtype-selective PET imaging agent for the GABAA receptor complex: evaluation of the radiotracer [11C]ADO in nonhuman primates. Mol Imaging. (2017) 16:1536012117731258. 10.1177/1536012117731258 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 272.Stephens DN, King SL, Lambert JJ, Belelli D, Duka T. GABAA receptor subtype involvement in addictive behaviour. Genes Brain Behav. (2017) 16:149–84. 10.1111/gbb.12321 [DOI] [PubMed] [Google Scholar]
  • 273.Rodnick ME, Hockley BG, Sherman P, Quesada C, Battle MR, Jackson A, et al. Novel fluorine-18 PET radiotracers based on flumazenil for GABAA imaging in the brain. Nucl Med Biol. (2013) 40:901–5. 10.1016/j.nucmedbio.2013.06.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 274.Baldwin RM, Horti AG, Bremner JD, Stratton MD, Dannals RF, Ravert HT, et al. Synthesis and PET imaging of the benzodiazepine receptor tracer [N-methyl-11C]iomazenil. Nucl Med Biol. (1995) 22:659–65. 10.1016/0969-8051(94)00139-B [DOI] [PubMed] [Google Scholar]
  • 275.Andersson JD, Halldin C. PET radioligands targeting the brain GABAA /benzodiazepine receptor complex. J Label Compd Radiopharm. (2013) 56:196–206. 10.1002/jlcr.3008 [DOI] [PubMed] [Google Scholar]
  • 276.Dobbs FR, Banks W, Fleishaker JC, Valentine AD, Kinsey BM, Franceschini MP, et al. Studies with [11C]alprazolam: an agonist for the benzodiazepine receptor. Nucl Med Biol. (1995) 22:459–66. 10.1016/0969-8051(94)00131-3 [DOI] [PubMed] [Google Scholar]
  • 277.Persson A, Ehrin E, Eriksson L, Farde L, Hedström CG, Litton JE, et al. Imaging of [11C]-labelled Ro 15-1788 binding to benzodiazepine receptors in the human brain by positron emission tomography. J Psychiatr Res. (1985) 19:609–22. 10.1016/0022-3956(85)90080-9 [DOI] [PubMed] [Google Scholar]
  • 278.Pike VW, Halldin C, Crouzel C, Barré L, Nutt DJ, Osman S, et al. Radioligands for PET studies of central benzodiazepine receptors and PK (peripheral benzodiazepine) binding sites–current status. Nucl Med Biol. (1993) 20:503–25. 10.1016/0969-8051(93)90082-6 [DOI] [PubMed] [Google Scholar]
  • 279.Abadie P, Rioux P, Scatton B, Zarifian E, Barré L, Patat A, et al. Central benzodiazepine receptor occupancy by zolpidem in the human brain as assessed by positron emission tomography. Eur J Pharmacol. (1996) 295:35–44. 10.1016/0014-2999(95)00633-8 [DOI] [PubMed] [Google Scholar]
  • 280.Frankle WG, Cho RY, Narendran R, Mason NS, Vora S, Litschge M, et al. Tiagabine increases [11C]flumazenil binding in cortical brain regions in healthy control subjects. Neuropsychopharmacology. (2009) 34:624–33. 10.1038/npp.2008.104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 281.Savic I, Pauli S, Thorell JO, Blomqvist G. In vivo demonstration of altered benzodiazepine receptor density in patients with generalised epilepsy. J Neurol Neurosurg Psychiatry. (1994) 57:797–804. 10.1136/jnnp.57.7.797 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 282.la Fougère C, Rominger A, Förster S, Geisler J, Bartenstein P. PET and SPECT in epilepsy: a critical review. Epilepsy Behav. (2009) 15:50–5. 10.1016/j.yebeh.2009.02.025 [DOI] [PubMed] [Google Scholar]
  • 283.Savic I, Roland P, Sedvall G, Persson A, Pauli S, Widen L. In-vivo demonstration of reduced benzodiazepine receptor binding in human epileptic FOCI. Lancet. (1988) 332:863–6. 10.1016/S0140-6736(88)92468-3 [DOI] [PubMed] [Google Scholar]
  • 284.Egerton A, Modinos G, Ferrera D, McGuire P. Neuroimaging studies of GABA in schizophrenia: a systematic review with meta-analysis. Transl Psychiatry. (2017) 7:e1147. 10.1038/tp.2017.124 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 285.Heiss WD, Sobesky J, Smekal UV, Kracht LW, Lehnhardt FG, Thiel A, et al. Probability of cortical infarction predicted by flumazenil binding and diffusion-weighted imaging signal intensity. Stroke. (2004) 35:1892–8. 10.1161/01.STR.0000134746.93535.9b [DOI] [PubMed] [Google Scholar]
  • 286.Jucaite A, Cselényi Z, Lappalainen J, McCarthy DJ, Lee C-M, Nyberg S, et al. GABAA receptor occupancy by subtype selective GABAAα2,3 modulators: PET studies in humans. Psychopharmacology. (2017) 234:707–16. 10.1007/s00213-016-4506-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 287.Taguchi Y, Takashima S, Noguchi K, Tanaka K. Findings of 123I-iomazenil SPECT during and after stroke-like episodes in a patient with MELAS. Clin Nucl Med. (2014) 39:e334–5. 10.1097/RLU.0b013e318299610f [DOI] [PubMed] [Google Scholar]
  • 288.Fujitani S, Matsuda K, Nakamura F, Baba K, Usui N, Tottori T, et al. Statistical parametric mapping of interictal 123I-iomazenil SPECT in temporal lobe epilepsy surgery. Epilepsy Res. (2013) 106:173–80. 10.1016/j.eplepsyres.2013.03.008 [DOI] [PubMed] [Google Scholar]
  • 289.Nagamitsu S, Sakurai R, Matsuoka M, Chiba H, Ozono S, Tanigawa H, et al. Altered SPECT (123)I-iomazenil binding in the cingulate cortex of children with anorexia nervosa. Front Psychiatry. (2016) 7:16. 10.3389/fpsyt.2016.00016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 290.Lingford-Hughes A, Hume SP, Feeney A, Hirani E, Osman S, Cunningham VJ, et al. Imaging the GABA-benzodiazepine receptor subtype containing the alpha5-subunit in vivo with [11C]Ro15 4513 positron emission tomography. J Cereb Blood Flow Metab Off J Int Soc Cereb Blood Flow Metab. (2002) 22:878–89. 10.1097/00004647-200207000-00013 [DOI] [PubMed] [Google Scholar]
  • 291.Maeda J, Suhara T, Kawabe K, Okauchi T, Obayashi S, Hojo J, et al. Visualization of alpha5 subunit of GABAA/benzodiazepine receptor by 11C Ro15-4513 using positron emission tomography. Synap N Y N. (2003) 47:200–8. 10.1002/syn.10169 [DOI] [PubMed] [Google Scholar]
  • 292.Lingford-Hughes A, Reid AG, Myers J, Feeney A, Hammers A, Taylor LG, et al. A [11C]Ro15 4513 PET study suggests that alcohol dependence in man is associated with reduced α5 benzodiazepine receptors in limbic regions. J Psychopharmacol Oxf Engl. (2012) 26:273–81. 10.1177/0269881110379509 [DOI] [PubMed] [Google Scholar]
  • 293.Asai Y, Takano A, Ito H, Okubo Y, Matsuura M, Otsuka A, et al. GABAA/Benzodiazepine receptor binding in patients with schizophrenia using [11C]Ro15-4513, a radioligand with relatively high affinity for alpha5 subunit. Schizophr Res. (2008) 99:333–40. 10.1016/j.schres.2007.10.014 [DOI] [PubMed] [Google Scholar]
  • 294.Dedeurwaerdere S, Gregoire M-C, Vivash L, Roselt P, Binns D, Fookes C, et al. In-vivo imaging characteristics of two fluorinated flumazenil radiotracers in the rat. Eur J Nucl Med Mol Imaging. (2009) 36:958–65. 10.1007/s00259-009-1066-4 [DOI] [PubMed] [Google Scholar]
  • 295.Sieghart W. Structure and pharmacology of gamma-aminobutyric acidA receptor subtypes. Pharmacol Rev. (1995) 47:181–234. [PubMed] [Google Scholar]
  • 296.Laruelle M, Abi-Dargham A, al-Tikriti MS, Baldwin RM, Zea-Ponce Y, Zoghbi SS, et al. SPECT quantification of [123I]iomazenil binding to benzodiazepine receptors in nonhuman primates: II. Equilibrium analysis of constant infusion experiments and correlation with in vitro parameters. J Cereb Blood Flow Metab Off J Int Soc Cereb Blood Flow Metab. (1994) 14:453–65. 10.1038/jcbfm.1994.56 [DOI] [PubMed] [Google Scholar]
  • 297.Mendez MA, Horder J, Myers J, Coghlan S, Stokes P, Erritzoe D, et al. The brain GABA-benzodiazepine receptor alpha-5 subtype in autism spectrum disorder: a pilot [11C]Ro15-4513 positron emission tomography study. Neuropharmacology. (2013) 68:195–201. 10.1016/j.neuropharm.2012.04.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 298.Vivash L, Gregoire M-C, Lau EW, Ware RE, Binns D, Roselt P, et al. 18F-flumazenil: a γ-aminobutyric acid A-specific PET radiotracer for the localization of drug-resistant temporal lobe epilepsy. J Nucl Med Off Publ Soc Nucl Med. (2013) 54:1270–7. 10.2967/jnumed.112.107359 [DOI] [PubMed] [Google Scholar]
  • 299.Hodolic M, Topakian R, Pichler R. (18)F-fluorodeoxyglucose and (18)F-flumazenil positron emission tomography in patients with refractory epilepsy. Radiol Oncol. (2016) 50:247–53. 10.1515/raon-2016-0032 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 300.Paterson LM, Kornum BR, Nutt DJ, Pike VW, Knudsen GM. 5-HT radioligands for human brain imaging with PET and SPECT. Med Res Rev. (2013) 33:54–111. 10.1002/med.20245 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 301.King MV, Marsden CA, Fone KCF. A role for the 5-HT(1A), 5-HT4 and 5-HT6 receptors in learning and memory. Trends Pharmacol Sci. (2008) 29:482–92. 10.1016/j.tips.2008.07.001 [DOI] [PubMed] [Google Scholar]
  • 302.Akimova E, Lanzenberger R, Kasper S. The serotonin-1A receptor in anxiety disorders. Biol Psychiatry. (2009) 66:627–35. 10.1016/j.biopsych.2009.03.012 [DOI] [PubMed] [Google Scholar]
  • 303.Nash JR, Sargent PA, Rabiner EA, Hood SD, Argyropoulos SV, Potokar JP, et al. Serotonin 5-HT1A receptor binding in people with panic disorder: positron emission tomography study. Br J Psychiatry J Ment Sci. (2008) 193:229–34. 10.1192/bjp.bp.107.041186 [DOI] [PubMed] [Google Scholar]
  • 304.Bailer UF, Frank GK, Henry SE, Price JC, Meltzer CC, Mathis CA, et al. Exaggerated 5-HT1A but normal 5-HT2A receptor activity in individuals ill with anorexia nervosa. Biol Psychiatry. (2007) 61:1090–9. 10.1016/j.biopsych.2006.07.018 [DOI] [PubMed] [Google Scholar]
  • 305.Kumar JSD, Mann JJ. PET tracers for 5-HT(1A) receptors and uses thereof. Drug Discov Today. (2007) 12:748–56. 10.1016/j.drudis.2007.07.008 [DOI] [PubMed] [Google Scholar]
  • 306.Doder M, Rabiner EA, Turjanski N, Lees AJ, Brooks DJ, 11C-WAY 100635 PET study. Tremor in Parkinson's disease and serotonergic dysfunction: an 11C-WAY 100635 PET study. Neurology. (2003) 60:601–5. 10.1212/01.WNL.0000031424.51127.2B [DOI] [PubMed] [Google Scholar]
  • 307.Merlet I, Ostrowsky K, Costes N, Ryvlin P, Isnard J, Faillenot I, et al. 5-HT1A receptor binding and intracerebral activity in temporal lobe epilepsy: an [18F]MPPF-PET study. Brain J Neurol. (2004) 127(Pt 4):900–13. 10.1093/brain/awh109 [DOI] [PubMed] [Google Scholar]
  • 308.Truchot L, Costes SN, Zimmer L, Laurent B, Le Bars D, Thomas-Antérion C, et al. Up-regulation of hippocampal serotonin metabolism in mild cognitive impairment. Neurology. (2007) 69:1012–7. 10.1212/01.wnl.0000271377.52421.4a [DOI] [PubMed] [Google Scholar]
  • 309.Lothe A, Merlet I, Demarquay G, Costes N, Ryvlin P, Mauguière F. Interictal Brain 5-HT1A receptors binding in migraine without Aura: a 18F-MPPF-PET study. Cephalalgia. (2008) 28:1282–91. 10.1111/j.1468-2982.2008.01677.x [DOI] [PubMed] [Google Scholar]
  • 310.Demarquay G, Lothe A, Royet J, Costes N, Mick G, Mauguière F, et al. Brainstem changes in 5-HT1A receptor availability during migraine attack. Cephalalgia. (2011) 31:84–94. 10.1177/0333102410385581 [DOI] [PubMed] [Google Scholar]
  • 311.Lothe A, Didelot A, Hammers A, Costes N, Saoud M, Gilliam F, et al. Comorbidity between temporal lobe epilepsy and depression: a [18F]MPPF PET study. Brain J Neurol. (2008) 131(Pt 10):2765–82. 10.1093/brain/awn194 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 312.Carson RE, Lang L, Watabe H, Der MG, Adams HR, Jagoda E, et al. PET evaluation of [(18)F]FCWAY, an analog of the 5-HT(1A) receptor antagonist, WAY-100635. Nucl Med Biol. (2000) 27:493–7. 10.1016/S0969-8051(00)00118-9 [DOI] [PubMed] [Google Scholar]
  • 313.Toczek MT, Carson RE, Lang L, Ma Y, Spanaki MV, Der MG, et al. PET imaging of 5-HT1A receptor binding in patients with temporal lobe epilepsy. Neurology. (2003) 60:749–56. 10.1212/01.WNL.0000049930.93113.20 [DOI] [PubMed] [Google Scholar]
  • 314.Giovacchini G, Toczek MT, Bonwetsch R, Bagic A, Lang L, Fraser C, et al. 5-HT 1A receptors are reduced in temporal lobe epilepsy after partial-volume correction. J Nucl Med Off Publ Soc Nucl Med. (2005) 46:1128–35. [PMC free article] [PubMed] [Google Scholar]
  • 315.Hasler G, Bonwetsch R, Giovacchini G, Toczek MT, Bagic A, Luckenbaugh DA, et al. 5-HT1A receptor binding in temporal lobe epilepsy patients with and without major depression. Biol Psychiatry. (2007) 62:1258–64. 10.1016/j.biopsych.2007.02.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 316.Neumeister A, Bain E, Nugent AC, Carson RE, Bonne O, Luckenbaugh DA, et al. Reduced serotonin type 1A receptor binding in panic disorder. J Neurosci Off J Soc Neurosci. (2004) 24:589–91. 10.1523/JNEUROSCI.4921-03.2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 317.Bonne O, Bain E, Neumeister A, Nugent AC, Vythilingam M, Carson RE, et al. No change in serotonin type 1A receptor binding in patients with posttraumatic stress disorder. Am J Psychiatry. (2005) 162:383–5. 10.1176/appi.ajp.162.2.383 [DOI] [PubMed] [Google Scholar]
  • 318.Choi JY, Lyoo CH, Kim JS, Kim KM, Kang JH, Choi S-H, et al. 18F-Mefway PET imaging of serotonin 1A receptors in humans: a comparison with 18F-FCWAY. PLoS ONE. (2015) 10:e0121342 10.1371/journal.pone.0121342 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 319.Milak MS, DeLorenzo C, Zanderigo F, Prabhakaran J, Kumar JSD, Majo VJ, et al. In vivo quantification of human serotonin 1A receptor using 11C-CUMI-101, an agonist PET radiotracer. J Nucl Med Off Publ Soc Nucl Med. (2010) 51:1892–900. 10.2967/jnumed.110.076257 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 320.Travis MJ, Busatto GF, Pilowsky LS, Mulligan R, Acton PD, Gacinovic S, et al. 5-HT2A receptor blockade in patients with schizophrenia treated with risperidone or clozapine. A SPET study using the novel 5-HT2A ligand 123I-5-I-R-91150. Br J Psychiatry J Ment Sci. (1998) 173:236–41. 10.1192/bjp.173.3.236 [DOI] [PubMed] [Google Scholar]
  • 321.Jones HM, Travis MJ, Mulligan R, Bressan RA, Visvikis D, Gacinovic S, et al. In vivo 5-HT2A receptor blockade by quetiapine: an R91150 single photon emission tomography study. Psychopharmacology. (2001) 157:60–6. 10.1007/s002130100761 [DOI] [PubMed] [Google Scholar]
  • 322.Versijpt J, Van Laere KJ, Dumont F, Decoo D, Vandecapelle M, Santens P, et al. Imaging of the 5-HT2A system: age-, gender-, and Alzheimer's disease-related findings. Neurobiol Aging. (2003) 24:553–61. 10.1016/S0197-4580(02)00137-9 [DOI] [PubMed] [Google Scholar]
  • 323.van Heeringen C, Audenaert K, Van Laere K, Dumont F, Slegers G, Mertens J, et al. Prefrontal 5-HT2a receptor binding index, hopelessness and personality characteristics in attempted suicide. J Affect Disord. (2003) 74:149–58. 10.1016/S0165-0327(01)00482-7 [DOI] [PubMed] [Google Scholar]
  • 324.Goethals I, Vervaet M, Audenaert K, Jacobs F, Ham H, Van de Wiele C, et al. Differences of cortical 5-HT2A receptor binding index with SPECT in subtypes of anorexia nervosa: relationship with personality traits? J Psychiatr Res. (2007) 41:455–8. 10.1016/j.jpsychires.2005.04.002 [DOI] [PubMed] [Google Scholar]
  • 325.Sheline YI, Mintun MA, Barch DM, Wilkins C, Snyder AZ, Moerlein SM. Decreased hippocampal 5-HT(2A) receptor binding in older depressed patients using [18F]altanserin positron emission tomography. Neuropsychopharmacol Off Publ Am Coll Neuropsychopharmacol. (2004) 29:2235–41. 10.1038/sj.npp.1300555 [DOI] [PubMed] [Google Scholar]
  • 326.Meltzer CC, Price JC, Mathis CA, Greer PJ, Cantwell MN, Houck PR, et al. PET imaging of serotonin type 2A receptors in late-life neuropsychiatric disorders. Am J Psychiatry. (1999) 156:1871–8. [DOI] [PubMed] [Google Scholar]
  • 327.Haugbøl S, Pinborg LH, Regeur L, Hansen ES, Bolwig TG, Nielsen FA, et al. Cerebral 5-HT2A receptor binding is increased in patients with Tourette's syndrome. Int J Neuropsychopharmacol. (2007) 10:245–52. 10.1017/S1461145706006559 [DOI] [PubMed] [Google Scholar]
  • 328.Erritzoe D, Rasmussen H, Kristiansen KT, Frokjaer VG, Haugbol S, Pinborg L, et al. Cortical and subcortical 5-HT2A receptor binding in neuroleptic-naive first-episode schizophrenic patients. Neuropsychopharmacol Off Publ Am Coll Neuropsychopharmacol. (2008) 33:2435–41. 10.1038/sj.npp.1301656 [DOI] [PubMed] [Google Scholar]
  • 329.Frank GK, Kaye WH, Meltzer CC, Price JC, Greer P, McConaha C, et al. Reduced 5-HT2A receptor binding after recovery from anorexia nervosa. Biol Psychiatry. (2002) 52:896–906. 10.1016/S0006-3223(02)01378-1 [DOI] [PubMed] [Google Scholar]
  • 330.Adams KH, Hansen ES, Pinborg LH, Hasselbalch SG, Svarer C, Holm S, et al. Patients with obsessive-compulsive disorder have increased 5-HT2A receptor binding in the caudate nuclei. Int J Neuropsychopharmacol. (2005) 8:391–401. 10.1017/S1461145705005055 [DOI] [PubMed] [Google Scholar]
  • 331.Erlandsson K, Sivananthan T, Lui D, Spezzi A, Townsend CE, Mu S, et al. Measuring SSRI occupancy of SERT using the novel tracer [123I]ADAM: a SPECT validation study. Eur J Nucl Med Mol Imaging. (2005) 32:1329–36. 10.1007/s00259-005-1912-y [DOI] [PubMed] [Google Scholar]
  • 332.Klein N, Sacher J, Geiss-Granadia T, Attarbaschi T, Mossaheb N, Lanzenberger R, et al. In vivo imaging of serotonin transporter occupancy by means of SPECT and [123I]ADAM in healthy subjects administered different doses of escitalopram or citalopram. Psychopharmacology. (2006) 188:263–72. 10.1007/s00213-006-0486-0 [DOI] [PubMed] [Google Scholar]
  • 333.Herold N, Uebelhack K, Franke L, Amthauer H, Luedemann L, Bruhn H, et al. Imaging of serotonin transporters and its blockade by citalopram in patients with major depression using a novel SPECT ligand [123I]-ADAM. J Neural Transm. (2006) 113:659–70. 10.1007/s00702-005-0429-7 [DOI] [PubMed] [Google Scholar]
  • 334.Meyer JH, Wilson AA, Ginovart N, Goulding V, Hussey D, Hood K, et al. Occupancy of serotonin transporters by paroxetine and citalopram during treatment of depression: a [(11)C]DASB PET imaging study. Am J Psychiatry. (2001) 158:1843–9. 10.1176/appi.ajp.158.11.1843 [DOI] [PubMed] [Google Scholar]
  • 335.Parsey RV, Kent JM, Oquendo MA, Richards MC, Pratap M, Cooper TB, et al. Acute occupancy of brain serotonin transporter by sertraline as measured by [11C]DASB and positron emission tomography. Biol Psychiatry. (2006) 59:821–8. 10.1016/j.biopsych.2005.08.010 [DOI] [PubMed] [Google Scholar]
  • 336.Voineskos AN, Wilson AA, Boovariwala A, Sagrati S, Houle S, Rusjan P, et al. Serotonin transporter occupancy of high-dose selective serotonin reuptake inhibitors during major depressive disorder measured with [11C]DASB positron emission tomography. Psychopharmacology. (2007) 193:539–45. 10.1007/s00213-007-0806-z [DOI] [PubMed] [Google Scholar]
  • 337.Lundberg J, Christophersen JS, Petersen KB, Loft H, Halldin C, Farde L. PET measurement of serotonin transporter occupancy: a comparison of escitalopram and citalopram. Int J Neuropsychopharmacol. (2007) 10:777–85. 10.1017/S1461145706007486 [DOI] [PubMed] [Google Scholar]
  • 338.Newberg AB, Amsterdam JD, Wintering N, Ploessl K, Swanson RL, Shults J, et al. 123I-ADAM binding to serotonin transporters in patients with major depression and healthy controls: a preliminary study. J Nucl Med Off Publ Soc Nucl Med. (2005) 46:973–7. [PubMed] [Google Scholar]
  • 339.Schuh-Hofer S, Richter M, Geworski L, Villringer A, Israel H, Wenzel R, et al. Increased serotonin transporter availability in the brainstem of migraineurs. J Neurol. (2007) 254:789–96. 10.1007/s00415-006-0444-0 [DOI] [PubMed] [Google Scholar]
  • 340.Bhagwagar Z, Murthy N, Selvaraj S, Hinz R, Taylor M, Fancy S, et al. 5-HTT binding in recovered depressed patients and healthy volunteers: a positron emission tomography study with [11C]DASB. Am J Psychiatry. (2007) 164:1858–65. 10.1176/appi.ajp.2007.06111933 [DOI] [PubMed] [Google Scholar]
  • 341.Frankle WG, Narendran R, Huang Y, Hwang D-R, Lombardo I, Cangiano C, et al. Serotonin transporter availability in patients with schizophrenia: a positron emission tomography imaging study with [11C]DASB. Biol Psychiatry. (2005) 57:1510–6. 10.1016/j.biopsych.2005.02.028 [DOI] [PubMed] [Google Scholar]
  • 342.Reimold M, Smolka MN, Zimmer A, Batra A, Knobel A, Solbach C, et al. Reduced availability of serotonin transporters in obsessive-compulsive disorder correlates with symptom severity – a [11C]DASB PET study. J Neural Transm. (2007) 114:1603–9. 10.1007/s00702-007-0785-6 [DOI] [PubMed] [Google Scholar]
  • 343.Brown AK, George DT, Fujita M, Liow J-S, Ichise M, Hibbeln J, et al. PET [11C]DASB imaging of serotonin transporters in patients with alcoholism. Alcohol Clin Exp Res. (2007) 31:28–32. 10.1111/j.1530-0277.2006.00261.x [DOI] [PubMed] [Google Scholar]
  • 344.Cannon DM, Ichise M, Fromm SJ, Nugent AC, Rollis D, Gandhi SK, et al. Serotonin transporter binding in bipolar disorder assessed using [11C]DASB and positron emission tomography. Biol Psychiatry. (2006) 60:207–17. 10.1016/j.biopsych.2006.05.005 [DOI] [PubMed] [Google Scholar]
  • 345.Kalbitzer J, Frokjaer VG, Erritzoe D, Svarer C, Cumming P, Nielsen FÅ, et al. The personality trait openness is related to cerebral 5-HTT levels. NeuroImage. (2009) 45:280–5. 10.1016/j.neuroimage.2008.12.001 [DOI] [PubMed] [Google Scholar]
  • 346.Kalbitzer J, Erritzoe D, Holst KK, Nielsen FA, Marner L, Lehel S, et al. Seasonal changes in brain serotonin transporter binding in short serotonin transporter linked polymorphic region-allele carriers but not in long-allele homozygotes. Biol Psychiatry. (2010) 67:1033–9. 10.1016/j.biopsych.2009.11.027 [DOI] [PubMed] [Google Scholar]
  • 347.Huang Y-Y, Huang W-S, Ma K-H, Chou T-K, Kuo Y-Y, Cheng C-Y, et al. Synthesis and comparison of 4-[18F]F-ADAM, 2-[18F]F-ADAM, N-Desmethyl-4-[18F]F-ADAM and [18F]F-AFM as serotonin transporter imaging agents. Appl Radiat Isot. (2012) 70:2298–307. 10.1016/j.apradiso.2012.06.005 [DOI] [PubMed] [Google Scholar]
  • 348.Yeh Y-W, Ho P-S, Kuo S-C, Chen C-Y, Liang C-S, Yen C-H, et al. Disproportionate reduction of serotonin transporter may predict the response and adherence to antidepressants in patients with major depressive disorder: a positron emission tomography study with 4-[18F]-ADAM. Int J Neuropsychopharmacol. (2015) 18:pyu120 10.1093/ijnp/pyu120 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 349.Sullivan GM, Oquendo MA, Simpson N, Van Heertum RL, Mann JJ, Parsey RV. Brain serotonin1A receptor binding in major depression is related to psychic and somatic anxiety. Biol Psychiatry. (2005) 58:947–54. 10.1016/j.biopsych.2005.05.006 [DOI] [PubMed] [Google Scholar]
  • 350.Santhosh L, Estok KM, Vogel RS, Tamagnan GD, Baldwin RM, Mitsis EM, et al. Regional distribution and behavioral correlates of 5-HT2A receptors in Alzheimer's disease with [18F]deuteroaltanserin and PET. Psychiatry Res Neuroimaging. (2009) 173:212–7. 10.1016/j.pscychresns.2009.03.007 [DOI] [PubMed] [Google Scholar]
  • 351.Bhagwagar Z, Hinz R, Taylor M, Fancy S, Cowen P, Grasby P. Increased 5-HT(2A) receptor binding in euthymic, medication-free patients recovered from depression: a positron emission study with [(11)C]MDL 100,907. Am J Psychiatry. (2006) 163:1580–7. 10.1176/ajp.2006.163.9.1580 [DOI] [PubMed] [Google Scholar]
  • 352.Perani D, Garibotto V, Gorini A, Moresco RM, Henin M, Panzacchi A, et al. In vivo PET study of 5HT(2A) serotonin and D(2) dopamine dysfunction in drug-naive obsessive-compulsive disorder. NeuroImage. (2008) 42:306–14. 10.1016/j.neuroimage.2008.04.233 [DOI] [PubMed] [Google Scholar]
  • 353.Saigal N, Pichika R, Easwaramoorthy B, Collins D, Christian BT, Shi B, et al. Synthesis and biologic evaluation of a novel serotonin 5-HT1A receptor radioligand, 18F-labeled mefway, in rodents and imaging by PET in a nonhuman primate. J Nucl Med Off Publ Soc Nucl Med. (2006) 47:1697–706. [PubMed] [Google Scholar]
  • 354.Wilson AA, Ginovart N, Hussey D, Meyer J, Houle S. In vitro and in vivo characterisation of [11C]-DASB: a probe for in vivo measurements of the serotonin transporter by positron emission tomography. Nucl Med Biol. (2002) 29:509–15. 10.1016/S0969-8051(02)00316-5 [DOI] [PubMed] [Google Scholar]
  • 355.Selvaraj S, Turkheimer F, Rosso L, Faulkner P, Mouchlianitis E, Roiser JP, et al. Measuring endogenous changes in serotonergic neurotransmission in humans: a [11C]CUMI-101 PET challenge study. Mol Psychiatry. (2012) 17:1254–60. 10.1038/mp.2012.78 [DOI] [PubMed] [Google Scholar]
  • 356.Elfving B, Madsen J, Knudsen GM. Neuroimaging of the serotonin reuptake site requires high-affinity ligands. Synapse. (2007) 61:882–8. 10.1002/syn.20443 [DOI] [PubMed] [Google Scholar]
  • 357.Maziere B, Crouzel C, Venet M, Stulzaft O, Sanz G, Ottaviani M, et al. Synthesis, affinity and specificity of 18F-setoperone, a potential ligand for in-vivo imaging of cortical serotonin receptors. Int J Rad Appl Instrum B. (1988) 15:463–8. 10.1016/0883-2897(88)90018-9 [DOI] [PubMed] [Google Scholar]
  • 358.Blin J, Baron JC, Dubois B, Crouzel C, Fiorelli M, Attar-Lévy D, et al. Loss of brain 5-HT2 receptors in Alzheimer's disease. In vivo assessment with positron emission tomography and [18F]setoperone. Brain J Neurol. (1993) 116 (Pt 3):497–510. 10.1093/brain/116.3.497 [DOI] [PubMed] [Google Scholar]
  • 359.Chabriat H, Tehindrazanarivelo A, Vera P, Samson Y, Pappata S, Boullais N, et al. 5HT2 receptors in cerebral cortex of migraineurs studied using PET and 18F-fluorosetoperone. Cephalalgia Int J Headache. (1995) 15:104–8; discussion 77. 10.1046/j.1468-2982.1995.015002104.x [DOI] [PubMed] [Google Scholar]
  • 360.Véra P, Zilbovicius M, Chabriat H, Amarenco P, Kerdraon J, Ménard JF, et al. Post-stroke changes in cortical 5-HT2 serotonergic receptors. J Nucl Med Off Publ Soc Nucl Med. (1996) 37:1976–81. [PubMed] [Google Scholar]
  • 361.Massou JM, Trichard C, Attar-Levy D, Feline A, Corruble E, Beaufils B, et al. Frontal 5-HT2A receptors studied in depressive patients during chronic treatment by selective serotonin reuptake inhibitors. Psychopharmacology. (1997) 133:99–101. 10.1007/s002130050377 [DOI] [PubMed] [Google Scholar]
  • 362.Shiue GG, Choi S-R, Fang P, Hou C, Acton PD, Cardi C, et al. N,N-Dimethyl-2-(2-Amino-4-18F-Fluorophenylthio)-Benzylamine (4-18F-ADAM): an improved PET radioligand for serotonin transporters. J Nucl Med. (2003) 44:1890–7. [PubMed] [Google Scholar]
  • 363.Shah M, Seibyl J, Cartier A, Bhatt R, Catafau AM. Molecular imaging insights into neurodegeneration: focus on α-synuclein radiotracers. J Nucl Med Off Publ Soc Nucl Med. (2014) 55:1397–400. 10.2967/jnumed.113.136515 [DOI] [PubMed] [Google Scholar]
  • 364.Burré J, Sharma M, Tsetsenis T, Buchman V, Etherton MR, Südhof TC. Alpha-synuclein promotes SNARE-complex assembly in vivo and in vitro. Science. (2010) 329:1663–7. 10.1126/science.1195227 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 365.El-Agnaf OMA, Salem SA, Paleologou KE, Cooper LJ, Fullwood NJ, Gibson MJ, et al. Alpha-synuclein implicated in Parkinson's disease is present in extracellular biological fluids, including human plasma. FASEB J Off Publ Fed Am Soc Exp Biol. (2003) 17:1945–7. 10.1096/fj.03-0098fje [DOI] [PubMed] [Google Scholar]
  • 366.Lee H-J, Patel S, Lee S-J. Intravesicular localization and exocytosis of alpha-synuclein and its aggregates. J Neurosci Off J Soc Neurosci. (2005) 25:6016–24. 10.1523/JNEUROSCI.0692-05.2005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 367.Dickson DW, Braak H, Duda JE, Duyckaerts C, Gasser T, Halliday GM, et al. Neuropathological assessment of Parkinson's disease: refining the diagnostic criteria. Lancet Neurol. (2009) 8:1150–7. 10.1016/S1474-4422(09)70238-8 [DOI] [PubMed] [Google Scholar]
  • 368.Brooks DJ, Tambasco N. Imaging synucleinopathies. Mov Disord Off J Mov Disord Soc. (2016) 31:814–29. 10.1002/mds.26547 [DOI] [PubMed] [Google Scholar]
  • 369.Paleologou KE, Kragh CL, Mann DMA, Salem SA, Al-Shami R, Allsop D, et al. Detection of elevated levels of soluble alpha-synuclein oligomers in post-mortem brain extracts from patients with dementia with Lewy bodies. Brain J Neurol. (2009) 132(Pt 4):1093–101. 10.1093/brain/awn349 [DOI] [PubMed] [Google Scholar]
  • 370.Choi JH, Stubblefield B, Cookson MR, Goldin E, Velayati A, Tayebi N, et al. Aggregation of α-synuclein in brain samples from subjects with glucocerebrosidase mutations. Mol Genet Metab. (2011) 104:185–8. 10.1016/j.ymgme.2011.06.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 371.Kotzbauer PT, Cairns NJ, Campbell MC, Willis AW, Racette BA, Tabbal SD, et al. Pathologic accumulation of α-synuclein and Aβ in parkinson disease patients with dementia. Arch Neurol. (2012) 69:1326–31. 10.1001/archneurol.2012.1608 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 372.Schildknecht S, Gerding HR, Karreman C, Drescher M, Lashuel HA, Outeiro TF, et al. Oxidative and nitrative alpha-synuclein modifications and proteostatic stress: implications for disease mechanisms and interventions in synucleinopathies. J Neurochem. (2013) 125:491–511. 10.1111/jnc.12226 [DOI] [PubMed] [Google Scholar]
  • 373.Uchihara T, Nakamura A, Mochizuki Y, Hayashi M, Orimo S, Isozaki E, et al. Silver stainings distinguish Lewy bodies and glial cytoplasmic inclusions: comparison between Gallyas-Braak and Campbell-Switzer methods. Acta Neuropathol. (2005) 110:255–60. 10.1007/s00401-005-1044-2 [DOI] [PubMed] [Google Scholar]
  • 374.Anderson JP, Walker DE, Goldstein JM, de Laat R, Banducci K, Caccavello RJ, et al. Phosphorylation of Ser-129 is the dominant pathological modification of alpha-synuclein in familial and sporadic Lewy body disease. J Biol Chem. (2006) 281:29739–52. 10.1074/jbc.M600933200 [DOI] [PubMed] [Google Scholar]
  • 375.Maetzler W, Reimold M, Liepelt I, Solbach C, Leyhe T, Schweitzer K, et al. [11C]PIB binding in Parkinson's disease dementia. NeuroImage. (2008) 39:1027–33. 10.1016/j.neuroimage.2007.09.072 [DOI] [PubMed] [Google Scholar]
  • 376.Fodero-Tavoletti MT, Mulligan RS, Okamura N, Furumoto S, Rowe CC, Kudo Y, et al. In vitro characterisation of BF227 binding to alpha-synuclein/Lewy bodies. Eur J Pharmacol. (2009) 617:54–8. 10.1016/j.ejphar.2009.06.042 [DOI] [PubMed] [Google Scholar]
  • 377.Kikuchi A, Takeda A, Okamura N, Tashiro M, Hasegawa T, Furumoto S, et al. In vivo visualization of alpha-synuclein deposition by carbon-11-labelled 2-[2-(2-dimethylaminothiazol-5-yl)ethenyl]-6-[2-(fluoro)ethoxy]benzoxazole positron emission tomography in multiple system atrophy. Brain J Neurol. (2010) 133(Pt 6):1772–8. 10.1093/brain/awq091 [DOI] [PubMed] [Google Scholar]
  • 378.Verdurand M, Levigoureux E, Lancelot S, Zeinyeh W, Billard T, Quadrio I, et al. Amyloid-beta radiotracer [18F]BF-227 does not bind to cytoplasmic glial inclusions of postmortem multiple system atrophy brain tissue. Contrast Media Mol Imaging. (2018) 2018:9165458 10.1155/2018/9165458 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 379.Bagchi DP, Yu L, Perlmutter JS, Xu J, Mach RH, Tu Z, et al. Binding of the radioligand SIL23 to α-synuclein fibrils in Parkinson disease brain tissue establishes feasibility and screening approaches for developing a Parkinson disease imaging agent. PLoS ONE. (2013) 8:e55031. 10.1371/journal.pone.0055031 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 380.Verdurand M, Levigoureux E, Zeinyeh W, Berthier L, Mendjel-Herda M, Cadarossanesaib F, et al. In silico, in vitro, and in vivo evaluation of new candidates for α-synuclein PET imaging. Mol Pharm. (2018) 15:3153–66. 10.1021/acs.molpharmaceut.8b00229 [DOI] [PubMed] [Google Scholar]
  • 381.Ye L, Velasco A, Fraser G, Beach TG, Sue L, Osredkar T, et al. In vitro high affinity alpha-synuclein binding sites for the amyloid imaging agent PIB are not matched by binding to Lewy bodies in postmortem human brain. J Neurochem. (2008) 105:1428–37. 10.1111/j.1471-4159.2008.05245.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 382.Fodero-Tavoletti MT, Smith DP, McLean CA, Adlard PA, Barnham KJ, Foster LE, et al. In vitro characterization of pittsburgh compound-B binding to lewy bodies. J Neurosci. (2007) 27:10365–71. 10.1523/JNEUROSCI.0630-07.2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 383.McKeith IG. Consensus guidelines for the clinical and pathologic diagnosis of dementia with Lewy bodies (DLB): report of the Consortium on DLB International Workshop. J Alzheimers Dis JAD. (2006) 9(Suppl. 3):417–23. 10.3233/JAD-2006-9S347 [DOI] [PubMed] [Google Scholar]
  • 384.Gilman S, Low PA, Quinn N, Albanese A, Ben-Shlomo Y, Fowler CJ, et al. Consensus statement on the diagnosis of multiple system atrophy. J Neurol Sci. (1999) 163:94–8. 10.1016/S0022-510X(98)00304-9 [DOI] [PubMed] [Google Scholar]
  • 385.Deutsch SI, Rosse RB, Schwartz BL, Mastropaolo J. A revised excitotoxic hypothesis of schizophrenia: therapeutic implications. Clin Neuropharmacol. (2001) 24:43. 10.1097/00002826-200101000-00008 [DOI] [PubMed] [Google Scholar]

Articles from Frontiers in Medicine are provided here courtesy of Frontiers Media SA

RESOURCES