Abstract
Epilepsy is a common neurological disease characterized by recurrent unpredictable seizures. For the last 30 years, microdialysis sampling has been used to measure changes in excitatory and inhibitory neurotransmitter concentrations before, during, and after seizures. These advances have fostered breakthroughs in epilepsy research by identifying neurochemical changes associated with seizures and correlating them to electrophysiological data. Recent advances in methodology may be useful in further delineating the chemical underpinnings of seizures. A new model of ictogenesis has been developed that allows greater control over the timing of seizures that are similar to spontaneous seizures. This model will facilitate making chemical measurements before and during a seizure. Recent advancements in microdialysis sampling, including the use of segmented flow, “fast” liquid chromatography (LC), and capillary electrophoresis with laser induced fluorescence (CE-LIF) have significantly improved temporal resolution to better than 1-min, which could be used to measure transient, spontaneous neurochemical changes associated with seizures. Microfabricated sampling probes that are markedly smaller than conventional probes and allow for a much greater spatial resolution have been developed. They may allow the targeting of specific brain regions important to epilepsy studies. Coupling microdialysis sampling to optogenetics and light-stimulated release of neurotransmitters may also prove useful for studying epileptic seizures.
Keywords: Microdialysis, LC-MS, CE-LIF, temporal resolution, epilepsy, seizures
A. Brain microdialysis in Epilepsy
Many brain diseases involve abnormal concentrations of select molecules in the brain extracellular space. As such, in vivo measurements can be invaluable in determining the underlying causes of such diseases and how treatments modulate these causes. Microdialysis has been used for such studies of many brain disorders including Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, traumatic brain injury, stroke, schizophrenia, and depression. Our experience in epilepsy research has shown the power of this method to uncover fundamental aspects of this disease and here we review insights gained by this approach. We then discuss emerging improvements in technology that may prove useful in further study of epilepsy.
Epilepsy as an imbalanced neurotransmission between glutamatergic and GABAergic systems
Epilepsy is a chronic neurological disorder affecting over fifty million people worldwide.1 Specifically Temporal Lobe Epilepsy (TLE) is the most common form of partial epilepsy, characterized by recurrent unpredictable seizures that often originate in the limbic system. Despite the availability of pharmacological treatment options, one third of patients do not respond to them.2, 3 In this sense, drug resistance is likely multifactorial in nature, and an active area of research for future therapeutics strategies.4 Therefore, a better understanding of the neurochemistry underlying epilepsy would be beneficial in the search for novel therapeutics.
Microdialysis has been used to measure neurochemical changes specifically before, during, and after seizures are triggered with a focus on glutamatergic, GABAergic, monoaminergic, cholinergic, and histaminergic systems. Clinical and experimental brain microdialysis studies carried out in the last three decades support the notion that an imbalance between excitatory (mainly mediated by glutamate) and inhibitory (mainly mediated by the ɤ-aminobutyric acid or GABA) neurotransmission is a central factor in the pathophysiology of pharmacoresistant TLE.5–12
Glutamate and GABA extracellular levels as biomarkers associated with drug-resistant TLE
Glutamate is considered the major excitatory neurotransmitter in the mammalian central nervous system (CNS), and due to its important role in synaptic plasticity and activation of hippocampal neuronal pathways, its extracellular concentration has been measured under both normal and pathological conditions.13, 14 In refractory TLE, several clinical and experimental brain microdialysis studies have reported dysregulated glutamate levels, which may be due to an altered expression of glutamate-metabolizing enzymes favoring glutamate production15, 16 or to an altered glial expression of glutamate uptake transporters, leading to an overstimulation of the glutamate receptors.5, 17–19 In patients with TLE, the increased extracellular glutamate levels in the brain are associated with excitotoxicity,20, 21 increased hippocampal cellular excitability,22 higher seizure frequency, decreased hippocampal volume, and decreased neuronal cell count.10, 11
Conversely, GABA is the main inhibitory neurotransmitter in the mammalian brain, and regulates neuronal excitability. Tissues from human patients and chronically epileptic rats have demonstrated some specific alterations in the GABAergic system that may lead to enhancement of excitatory signals and disruption of the neurotransmission balance. For example, inhibition can become impaired due to reduction of GABA release,23 desensitization of post-synaptic GABAA receptors,24–26 and/or loss of GABAergic neurons and interneurons.27–30 Unfortunately, little is known about the dynamic changes in the glutamatergic and GABAergic systems during the natural course of TLE and its progression toward refractoriness.
In humans, During and Spencer5 were the first to report a seizure-related increase outflow of GABA and a significant increase in glutamate extracellular concentration before and during partial seizures with secondary generalization in mesial TLE patients undergoing surgery, using bilateral intrahippocampal microdialysis and the non-epileptogenic hippocampus of each patient as control. In line with these findings, Sherwin17 and Thomas et al7–9 confirmed that glutamate extracellular levels are significantly augmented in the epileptogenic brain tissue under interictal and ictal conditions in epilepsy surgery patients. Moreover, the interictal extracellular glutamate concentrations in the non-epileptogenic hippocampus were considerably lower compared to those in the epileptogenic area of the evaluated patients.11 In the case of GABA, only Wilson et al18 and Thomas et al9 supported the previously described ictal increase, whereas Pan et al22 reported a non-significantly reduced interictal GABA outflow in the epileptogenic hippocampus. Although these results indicate a strong relationship between elevated glutamate and epileptiform activity, it is evident that all these human studies lack appropriate controls and do not provide information on the dynamic changes occurring in the natural development of the disease. Interestingly, later clinical studies had considered the excessive extracellular glutamate concentrations reached between seizures and during the epileptic seizures itself as a biomarker linked to the altered expression and function of P-glycoprotein. P-glycoprotein is a transmembrane transport protein expressed in the luminal cell membrane of brain capillary endothelial cells of the blood-brain barrier whose primary function is to regulate the active uptake and expulsion of a broad range of substrates including a variety of therapeutic drugs.31–35 In this context, studies in human and rodent brain capillaries have revealed that glutamate can upregulate P-glycoprotein via an N-methyl-D-aspartic acid (NMDA) receptor/cyclooxygenase-2 signaling pathway.36–39 These findings might have general implications for other neurologic disorders with excessive glutamate release.
Several animal studies support the human brain microdialysis results, especially those where hippocampal glutamate levels increase after microperfusion of chemoconvulsants such as pilocarpine, picrotoxin, and 3,5-dihydrophenylglycine into the hippocampus40 or during chronic-phase seizures following intrahippocampal kainate injection in rats.18, 41 However, a very small number of studies describe interictal extracellular levels of glutamate and GABA in models of epilepsy. In fact, the results obtained from these models have been more or less inconclusive to support alterations in extracellular levels of glutamate and GABA in the epileptic brain.18, 42–44 The lack of uniformity could be attributed in part to the fact that the epileptic animals used in those experiments were not classified as to whether they were responsive or non-responsive to antiepileptic drugs. To date, the study conducted by Luna-Munguia et al12 is the only report focused on characterizing the interictal and ictal extracellular levels of glutamate and GABA at the epileptic hippocampus of phenytoin-non-responsive kindled rats. This experimental model offers unique approaches to the biological basis of refractoriness, particularly because pathological alterations in such rats can be directly compared with those of rats that respond to phenytoin.45 The results obtained by Luna-Munguia et al12 conclude that alterations of glutamate and GABA release in the epileptic focus of non-responsive animals resemble those found in hippocampus of human patients with refractory TLE.
The monoaminergic system
In addition to the previously-described imbalance between glutamatergic and GABAergic neurotransmission, other neurotransmitter systems are known to be involved in epileptogenesis. Clinckers et al46 reported that increased extracellular glutamate levels alone are not enough to induce seizures when administered intrahippocampally in concentrations found after limbic seizures in the pilocarpine rat model. Therefore, an extra stimulus is required for inducing seizures. Monoamines such as dopamine and serotonin are good candidates. Different types of dopamine and serotonin receptors are located on the neocortical and hippocampal glutamatergic or GABAergic nerve terminals, where they can cause a significant shift in the balance towards excitation in these networks.47, 48 However, previous genetic and classical pharmacological studies have described the complex neuromodulatory responses of both monoamines. In the case of dopamine, the activation of D1-like receptors usually exerts pro-epileptogenic effects, whereas D2-like receptor stimulation can block the seizure induction.48, 49 On the other hand, serotonin and seizure inhibition have been linked for almost six decades and through the years several studies have reported that selective serotonin reuptake inhibitors can be used as antiepileptic drugs, depletion of brain serotonin can lower seizure threshold, and the lack of 5-HT1A receptors can increase lethality after kainic acid-induced seizures.47, 50–52
In line with these studies, brain microdialysis experiments describing the proconvulsant and anticonvulsant effects of dopamine and serotonin based on their hippocampal extracellular levels find similar complexity. Clinckers et al53 reported a complete protection against pilocarpine-induced seizures when enhanced preictal dopamine levels or serotonin levels were established (for example, with 2 nM dopamine or serotonin perfusion). Similar effects on seizure severity and hippocampal monoamine levels were obtained by intrahippocampal perfusion of selective dopamine or serotonin reuptake blockers.54 With protective levels of either dopamine or serotonin, no significant pilocarpine-induced increases in extracellular hippocampal glutamate were observed. However, high preictal concentrations of dopamine or serotonin (10 nM) aggravated pilocarpine-induced seizures compared with control conditions and were, therefore, defined as proconvulsant concentrations. In these cases, extracellular glutamate levels were increased before, during, and after pilocarpine administration.
The cholinergic system
Although acetylcholine is the second most prevalent excitatory neurotransmitter in the brain, few microdialysis studies have focused on its extracellular levels in epilepsy. Recently, Hillert et al55 used the lithium-pilocarpine model to induce status epilepticus in young adult rats and monitor acetylcholine levels in the hippocampus both during seizures and after their termination by diazepam or ketamine. Similar to the previously report by Jope et al,56 Hillert’s brain microdialysis study confirms that acetylcholine accumulates in tissue, and describes for the first time its active release in hippocampus and striatum as long as seizures prevail. Moreover, they report that ketamine, a NMDA receptor blocker, rapidly lowers the acetylcholine release and achieves a faster seizure termination when compared to diazepam. Thus, it can be concluded that increased acetylcholine release during status epilepticus is correlated with epileptic activity.
The histaminergic system
The histaminergic system has also been associated with the complicated pathogenesis of epilepsy. For several years, histamine has been considered an anticonvulsive neurotransmitter as its low levels were associated with convulsions and seizures.57, 58 However, recent microdialysis experimental evidence shows a seizure-induced increase of histamine release, which may lead to neurotoxicity, blood-brain barrier breakdown, and brain edema.59, 60 The variable results between studies could be due to the inhibitory or excitatory effects of the histaminergic system, depending on the type of epilepsy and the evaluated brain region.61, 62 Further studies, based on the histamine H3 receptors (H3R) ability to modulate the release of a wide spectrum of molecules such as glutamate, GABA, dopamine, serotonin, and acetylcholine in a pathway-dependent manner,63 should determine whether H3R antagonists bear therapeutic value in epilepsy.
B. Methods development and future outlook in using microdialysis to study epilepsy
Emerging advances in epilepsy models and microdialysis methods may be expected to help elucidate causes and therapies. Here we review recent uses of new models and measurements techniques that are relevant to epilepsy.
1. A Model for Ictogenesis
Decades of research have improved our understanding of some of the physiological changes that lead to epilepsy. However, we still have a very limited understanding of the basic mechanisms of ictogenesis, the process by which an individual seizure begins. Without this understanding, epilepsy studies rely upon waiting for seizures to occur randomly, which represents an uncontrolled process. Recently a novel method of controlling ictogenesis in an in vivo model of TLE in rats has been developed.64 This model is capable of increasing the risk of seizures in TLE, providing experimental control of seizure threshold via endogenous pathways that mirror normal brain activity. In this model, it is possible to increase the risk of seizures by exciting a seizure focus (the hippocampus) via physiological pathways (afferent synaptic activity from the nucleus reuniens). As shown in Figure 1, the seizure hazard rate (seizures per hour) is significantly increased upon the injection of KCl in the nucleus reuniens of the epileptic animals as opposed to PBS.64 Combining this method with microdialysis measurements will enable exploration of the basic mechanisms of ictogenesis by searching for chemical biomarkers associated with that risk in a controlled fashion. Future experiments are expected to be multimodal recordings, combining EEG with multiple chemical measurements.
Figure 1.
Time-dependent seizure hazard rates. The KCl solution injection significantly increases the seizure hazard rate immediately after the first injection was administered (time 0), more than doubling the risk of seizures during the experiment. In contrast, PBS injections had no effect on seizure risk. Dotted lines indicate the average risk across all animals before and during the injections. Figure is reproduced with permission from reference.64
2. Improved Temporal Resolution Microdialysis
Microdialysis has traditionally only sampled brain extracellular space at 5–10 min intervals. The limiting step for temporal resolution is usually the sensitivity of the analytical method used, i.e. enough sample must be collected to have enough material to analyze. Use of methods that allow high mass sensitivity, such as CE-LIF, can allow better temporal resolution.
The potential utility of higher temporal resolution has been revealed in a study that used CE-LIF to monitor neurochemical changes underlying 3-MPA induced seizures.65, 66 The changes in glutamate and GABA were measured at “fast” (60 s) and “slow” (5 min) time scales using CE-LIF.66 Figure 2 shows the amino acid/neurotransmitter data using fast 1 min microdialysis sampling.66 A unique trend was observed where biphasic activity was now shown with glutamate. Within the 5–25 min timeframe, glutamate markedly spiked and again at 40–65 min. There was also a sustained increase in glutamate during the final 30 min of the experiment. The 60 s sampling showed that 3-MPA caused glutamate changes that were bimodal, which was not apparent with the “slow” 5 min sampling timescale. For the first time, a relatively high temporal resolution had been achieved with in vivo microdialysis sampling during status epilepticus, which could provide novel insight into the unpredictable and spontaneous seizures caused by epilepsy.
Figure 2.
Glutamate and GABA data from 60 s microdialysis sampling. Percent change in glutamate and GABA upon the administration of 3-MPA over the time course of the experiment (n = 3 rats). The box marks the time (20–52 min) during which a steady-state concentration of 3-MPA was achieved in each sampled region. The arrow marks the time at which the infusion was stopped. Figure is reproduced with permission.66
These results show that improved temporal resolution can reveal better detail on the chemical changes underlying seizures. Presumably other studies, such as changes leading up to spontaneous seizures or even higher resolution changes (second by second) could reveal more about the patterns of neurochemistry. Recent advances in technology may allow such measurements.
Fast LC
Because natural spontaneous seizures occur randomly, a method that offers continuous high resolution methods (as opposed to collecting fractions for a limited amount of time) would be useful. Recently some groups have reported the development of advanced HPLC methods coupled to microdialysis that allow up to 1 min temporal resolution for certain monoamines with continuous, on-line operation.67–70 These methods involve careful optimization of the HPLC flow paths and high sensitivity electrochemical or photoelectrochemical detectors. The novel methods have been used to monitor dopamine in the rat striatum during the delivery of potassium and nominfensine in live freely behaving animals.68 Having achieved a 1 min-temporal resolution, it was possible to determine the pharmacokinetics of locally delivering nomifensine and also the use of dexamethasone to increase basal levels of dopamine.68
An important feature of these methods it that they allow continuous operation so it is possible to detect unpredicted and spontaneous chemical transients. For example, a recording from SERT+/+ mice revealed large, spontaneous surges in serotonin levels during the first half of the dark phase (Figure 4).70 The spontaneous spiking in serotonin levels associated with the light-dark cycle by continuous sampling of dialysate at 3 min intervals for 20 h and throughout the dark phase. This “fast microdialysis technique” was also used to measure serotonin transporter (SERT) and sex-mediated differences in stimulated serotonin. The novel development of fast microdialysis, when combined with potassium stimulation, showed that differences in extracellular serotonin levels that were associated with normal hormonal cycles and pharmacologic vs. genetic loss of the function of the serotonin transporter.
Figure 4.
Reduced SERT expression produces different patterns of spontaneous oscillation in extracellular serotonin levels during the dark phase. Overlay of typical examples from mice. Spontaneous serotonin surges during the dark phase were large in SERT+/+ mice (solid circles, approximately 1500 times the basal level), while SERT−/− mice (open circles) did not show surges but rather serotonin fluctuated around basal levels. Spontaneous serotonin surges during the dark phase in SERT+/− mice (half-filled circles) fell between those of the SERT+/+ and SERT−/− mice. There was usually only one large serotonin surge in SERT+/+ mice during ZT13−18, while multiple intermediate-sized serotonin surges occurred in SERT+/− mice throughout the dark phase, with more changes tending to cluster during ZT13–18. Typical examples of circadian serotonin surges (black symbols) measured using 3 min sampling. Figure is reproduced with permission from reference.70
3. Droplets and Fast CE
Other technology is emerging to allow temporal resolution of a few seconds.71–74 Such high temporal resolution could be useful for better defining the chemical dynamics that drive seizures. If sufficient sensitivity is available, a technical challenge of collecting samples at a few seconds intervals, corresponding to nanoliter volumes if the microdialysis perfusion rate is 1 μL/min, must be met. One way to collect such small samples is by segmented flow wherein sample is interspersed with an immiscible fluid to create an array of small samples.71
Droplet-based techniques have significantly increased the temporal resolution of microdialysis. Applications of the concept have been shown where a tee channel on a microfabricated PDMS chip with an imiscible carrier phase (perfluorodecalin/PFD) was used to segment dialysate into nanoliter plugs.75 The temporal resolution of 15 s was measured by the fluorescence of individual sample plugs as opposed to a temporal resolution of 25 to160 s without the sample plugs.
The segmented flow microdialysis approach was also utilized to measure glucose in anesthetized rats illustrating its potential utility for in vivo monitoring with high temporal resolution. The technique was further developed where a microdialysis probe was integrated with a PDMS chip that merged dialysate and flurogenic reagent that segmented the flow into plugs.74 The plugs then flowed to a glass stream where they were analyzed via electrophoresis with fluorescence detection. The 35 s temporal resolution was independent of the distance between analysis and sampling. The system allowed for the measurements of six amino acids and neurochemical dynamics upon infusing glutamate into the striatum of anesthetized rats.
Further pushing the boundaries of temporal resolution, electrospray ionization mass spectrometry (ESI-MS) was coupled with droplet microdialysis for in vivo acetylcholine monitoring for a 5 s temporal resolution.73 Furthermore, 2 s temporal resolution was achieved when 2 nL microdialysate fractions were collected in plugs for off-line in vivo chemical monitoring.76 This method was then applied for the collection and analysis of nanoliter microdialysis samples from awake animals in vivo.72 Droplet-based sampling techniques would be ideal to increase the temporal resolution of microdialysis sampling to the sub-min timescale to measure neurochemical fluxes during random, spontaneous seizures.
3. Miniaturized Sampling Probes by Microfabrication
To make neurochemical measurements with microdialysis during epileptic seizures, specific brain regions must be monitored such as the hippocampus and nucleus reuniens. Conventional microdialysis probes are too large to solely target these brain regions. The large size also causes tissue damage that might also confound results in some cases. Recent efforts to miniaturize the probes have been made. However, there is a requirement to obtain chemical information from small volumes of the central nervous system (CNS) without sacrificing neurochemical recovery. Such information can be obtained by push-pull perfusion sampling. This method utilizes 10–50 nl/min flow rates to minimize tissue damage with up to 80% in vitro recoveries.77 The spatial resolution of the probes was illustrated as they were able to measure chemical gradients across small brain nuclei.78 It has also been shown that such probes generate lower tissue damage than conventional microdialysis probes and had minimal tissue damage.79 The utility of such probes for behavioral studies was shown in a study the recorded glutamate surges in the rat lateral hypothalamus during feeding.80 Ultimately it may be possible to couple the small probes with high temporal resolution monitoring.81,82
Microfabrication of push-pull perfusion probes in silicon has led to further miniaturization, which could be applicable to epilepsy studies.83 The probes contained two 20 μM channels with ports where the fluid (buffer/dialysate) is either injected or collected as shown in Figure 3. The utility of these low-flow push-pull sampling probes was illustrated by sampling the brain of live anesthetized rats. Sampling occurred at 50 nL/min in the striatum of live rats and 17 neurotransmitters and their metabolites were detected from the push-pull perfusate using liquid chromatography-mass spectrometry (LC-MS). It has also been possible to embed a membrane into a silicon probe so that microdialysis sampling is possible from a similar sized probe. 84 These microfabricated microdialysis probes were found to perform comparably to conventional microdialysis probes in response to dynamic in vivo chemical changes in response to amphetamine administration to an anesthetized animal with 14 neurochemicals being detected consistently in 20 min fractions. The probes have a 79% smaller cross-sectional areas than conventional microdialysis probes, which allows for their use in smaller animal models and brain regions. The use of these microfabricated probes for high spatial resolution measurements targeting small brain regions such as the hypothalamus and nucleus reuniens would be ideal for studying epilepsy by measuring neurochemical changes caused by seizures with microdialysis sampling.
Figure 3.
Layout of probe with scanning electron micrographs of different sections. Drawing at right shows the probe layout. Dark lines in interior are buried channels with 20 μm diameter. (a) Port where connection is made to capillaries. Drawing shows close view, and micrograph shows cross section from a probe that was broken to show the buried channel. (Probes had three ports. Two were in use for these designs; the third is available for a possible third fluidic arm but was not used in this work). (b) Micrograph of channel after backside etching to reveal the channels. Slight defect is due to partial unfinished backside etching. (c) Close up drawing and micrograph of the sampling orifice. Figure is reproduced with permission from reference.83
3. Incorporating Optogenetics with Microdialysis Sampling and Applications for Epilepsy
Optogenetics is another technology that will have use in epilepsy studies. Optogenetics85 uses light to control neurons that have been genetically modified to express light sensitive ion channels, which may be used to study models of epilepsy. In epilepsy, optogenetics has become an important tool to mute overactive neurons, while also stimulating other neurons to controllably start seizures.86 A recent study reported the arrest of spontaneous seizures using a real-time, closed-loop, response system and in vivo optogenetics in a mouse model of temporal lobe epilepsy.87 Either optogenetic inhibition of excitatory principal cells, or activation of a subpopulation of GABAergic cells in hippocampal neurons halts seizures rapidly upon light application. Furthermore, photostimulation of glutamatergic neurons triggers seizure-like activity in the presence of an intact GABAergic transmission.88 This could allow for a controllable method for both inducing and alleviating epileptic seizures.
The integration of optogenetics with microdialysis sampling, however, has been rather limited in scope as opposed to integration with electrophysiology and behavioral changes observed during light stimulation.89 Some challenges to optogenetic neurochemical monitoring include the expertise in neurochemical techniques, the availability of analytical methods enabling high sampling rates, and implementing controls to determine the effects of laser light or heat on non-targeted endogenous ion-channels or biochemicals.89 These advances will enable a more thorough understanding of underlying neural circuits and their effect on behavior such as in epilepsy. A few examples of integrating microdialysis and optogenetics include tuning arousal of the locus coeruleus, which has caused reversible behavioral arrests that suggests that it is finely tuned to regulate organismal arousal.90 Figure 5 shows the novel combined optogenetic microdialysis probe used for these experiments.91 The use of a combined microdialysis-optogenetics probe would be ideal for neurochemical monitoring during optogenetic neuronal stimulation for epilepsy studies to measure neurochemical changes specifically during, before, and after controlled epileptic seizures. This would allow for the correlation of neurochemical biomarkers to epileptic seizures and complex behavioral states.
Figure 5.
Optogenetic-microdialysis probe. A. Light dispersion on a 6 μm diamond-coated film from typical optical fiber used for optogenetic stimulation (albeit one-half the diameter). B. Light dispersion of the same type of fiber with a conical sculpted tip. C. Light dispersion of the fully assembled optogenetic-microdialysis probe. D. Magnification of the probe tip, showing the conical sculpted optical fiber and the dialysis inlet tips surrounded by dialysis membrane and epoxy seal at the bottom. Figure is reproduced with permission from reference91.
Conclusions
This review has summarized the use of microdialysis for the in vivo neurochemical monitoring of several neurotransmitters before and during epileptic seizures. A technical limitation of studying epilepsy is that seizures arise unpredictably so it is difficult to monitor the spontaneous chemical changes before and during the seizure. It is complicated to do these studies because there is no clear way to control ictogenesis. The new ictogenesis model and use of optogenetics to control excitability of neurons are two ways to alleviate this problem. Coupling these models with microdialysis may prove fruitful. Similarly, continuous, on-line HPLC methods may allow detection of neurochemical activity associated with a spontaneous seizure. Finally, improvements in smaller probes and better temporal resolution may allow more refined examination of neurochemistry in vivo during seizures.
Acknowledgments
This work was supported by RO1 EB003320 (R.T.K.), NIH T32 grant DA007268, American University Faculty Research Support Grant (A.G.Z.), NIH 1RO1NS094399 (W.C.S and H.L.M.), and Seed Funding for Innovative Projects in Neuroscience on behalf of Michigan Brain Initiative Working Group (MiBrain Initiative).
References
- [1].Kwan P, Schachter SC, and Brodie MJ (2011) Drug-resistant epilepsy, N Engl J Med 365, 919–926. [DOI] [PubMed] [Google Scholar]
- [2].Löscher W (2005) How to explain multidrug resistance in epilepsy?, Epilepsy Curr 5, 107–112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [3].Löscher W, and Schmidt D (2011) Modern antiepileptic drug development has failed to deliver: Ways out of the current dilemma, Epilepsia 52, 657–678. [DOI] [PubMed] [Google Scholar]
- [4].Löscher W, and Sills GJ (2007) Drug resistance in epilepsy: why is a simple explanation not enough?, Epilepsia 48, 2370–2372. [DOI] [PubMed] [Google Scholar]
- [5].During MJ, and Spencer DD (1993) Extracellular hippocampal glutamate and spontaneous seizure in the conscious human brain, Lancet 341, 1607–1610. [DOI] [PubMed] [Google Scholar]
- [6].Sherwin AL (1999) Neuroactive amino acids in focally epileptic human brain: a review, Neurochem Res 24, 1387–1395. [DOI] [PubMed] [Google Scholar]
- [7].Thomas PM, Phillips JP, Delanty N, and O’Connor WT (2003) Elevated extracellular levels of glutamate, aspartate and gamma-aminobutyric acid within the intraoperative, spontaneously epileptiform human hippocampus, Epilepsy Res 54, 73–79. [DOI] [PubMed] [Google Scholar]
- [8].Thomas PM, Phillips JP, and O’Connor WT (2004) Hippocampal microdialysis during spontaneous intraoperative epileptiform activity, Acta Neurochir (Wien) 146, 143–151. [DOI] [PubMed] [Google Scholar]
- [9].Thomas PM, Phillips JP, and O’Connor WT (2005) Microdialysis of the lateral and medial temporal lobe during temporal lobe epilepsy surgery, Surg Neurol 63, 70–79. [DOI] [PubMed] [Google Scholar]
- [10].Cavus I, Kasoff WS, Cassaday MP, Jacob R, Gueorguieva R, Sherwin RS, Krystal JH, Spencer DD, and Abi-Saab WM (2005) Extracellular metabolites in the cortex and hippocampus of epileptic patients, Ann Neurol 57, 226–235. [DOI] [PubMed] [Google Scholar]
- [11].Cavus I, Pan JW, Hetherington HP, Abi-Saab W, Zaveri HP, Vives KP, Krystal JH, Spencer SS, and Spencer DD (2008) Decreased hippocampal volume on MRI is associated with increased extracellular glutamate in epilepsy patients, Epilepsia 49, 1358–1366. [DOI] [PubMed] [Google Scholar]
- [12].Luna-Munguia H, Orozco-Suarez S, and Rocha L (2011) Effects of high frequency electrical stimulation and R-verapamil on seizure susceptibility and glutamate and GABA release in a model of phenytoin-resistant seizures, Neuropharmacology 61, 807–814. [DOI] [PubMed] [Google Scholar]
- [13].Riedel G, Wetzel W, and Reymann KG (1996) Comparing the role of metabotropic glutamate receptors in long-term potentiation and in learning and memory, Prog Neuropsychopharmacol Biol Psychiatry 20, 761–789. [DOI] [PubMed] [Google Scholar]
- [14].Yang JL, Sykora P, Wilson DM 3rd, Mattson MP, and Bohr VA (2011) The excitatory neurotransmitter glutamate stimulates DNA repair to increase neuronal resiliency, Mech Ageing Dev 132, 405–411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Eid T, Hammer J, Runden-Pran E, Roberg B, Thomas MJ, Osen K, Davanger S, Laake P, Torgner IA, Lee TS, Kim JH, Spencer DD, Ottersen OP, and de Lanerolle NC (2007) Increased expression of phosphate-activated glutaminase in hippocampal neurons in human mesial temporal lobe epilepsy, Acta Neuropathol 113, 137–152. [DOI] [PubMed] [Google Scholar]
- [16].Eid T, Thomas MJ, Spencer DD, Runden-Pran E, Lai JC, Malthankar GV, Kim JH, Danbolt NC, Ottersen OP, and de Lanerolle NC (2004) Loss of glutamine synthetase in the human epileptogenic hippocampus: possible mechanism for raised extracellular glutamate in mesial temporal lobe epilepsy, Lancet 363, 28–37. [DOI] [PubMed] [Google Scholar]
- [17].Bradford HF (1995) Glutamate, GABA and epilepsy, Prog Neurobiol 47, 477–511. [DOI] [PubMed] [Google Scholar]
- [18].Wilson CL, Maidment NT, Shomer MH, Behnke EJ, Ackerson L, Fried I, and Engel J Jr. (1996) Comparison of seizure related amino acid release in human epileptic hippocampus versus a chronic, kainate rat model of hippocampal epilepsy, Epilepsy Res 26, 245–254. [DOI] [PubMed] [Google Scholar]
- [19].Rakhade SN, and Loeb JA (2008) Focal reduction of neuronal glutamate transporters in human neocortical epilepsy, Epilepsia 49, 226–236. [DOI] [PubMed] [Google Scholar]
- [20].Wang Y, and Qin ZH (2010) Molecular and cellular mechanisms of excitotoxic neuronal death, Apoptosis 15, 1382–1402. [DOI] [PubMed] [Google Scholar]
- [21].Kritis AA, Stamoula EG, Paniskaki KA, and Vavilis TD (2015) Researching glutamate - induced cytotoxicity in different cell lines: a comparative/collective analysis/study, Front Cell Neurosci 9, 91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [22].Pan JW, Williamson A, Cavus I, Hetherington HP, Zaveri H, Petroff OA, and Spencer DD (2008) Neurometabolism in human epilepsy, Epilepsia 49 Suppl 3, 31–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [23].Soukupová M, Binaschi A, Falcicchia C, Zucchini S, Roncon P, Palma E, Magri E, Grandi E, and Simonato M (2014) Impairment of GABA release in the hippocampus at the time of the first spontaneous seizure in the pilocarpine model of temporal lobe epilepsy, Exp Neurol 257, 39–49. [DOI] [PubMed] [Google Scholar]
- [24].Ragozzino D, Palma E, Di Angelantonio S, Amici M, Mascia A, Arcella A, Giangaspero F, Cantore G, Di Gennaro G, Manfredi M, Esposito V, Quarato PP, Miledi R, and Eusebi F (2005) Rundown of GABA type A receptors is a dysfunction associated with human drug-resistant mesial temporal lobe epilepsy, Proc Natl Acad Sci U S A 102, 15219–15223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [25].Palma E, Roseti C, Maiolino F, Fucile S, Martinello K, Mazzuferi M, Aronica E, Manfredi M, Esposito V, Cantore G, Miledi R, Simonato M, and Eusebi F (2007) GABA(A)-current rundown of temporal lobe epilepsy is associated with repetitive activation of GABA(A) “phasic” receptors, Proc Natl Acad Sci U S A 104, 20944–20948. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [26].Mazzuferi M, Palma E, Martinello K, Maiolino F, Roseti C, Fucile S, Fabene PF, Schio F, Pellitteri M, Sperk G, Miledi R, Eusebi F, and Simonato M (2010) Enhancement of GABA(A)-current run-down in the hippocampus occurs at the first spontaneous seizure in a model of temporal lobe epilepsy, Proc Natl Acad Sci U S A 107, 3180–3185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [27].Paradiso B, Marconi P, Zucchini S, Berto E, Binaschi A, Bozac A, Buzzi A, Mazzuferi M, Magri E, Navarro Mora G, Rodi D, Su T, Volpi I, Zanetti L, Marzola A, Manservigi R, Fabene PF, and Simonato M (2009) Localized delivery of fibroblast growth factor-2 and brain-derived neurotrophic factor reduces spontaneous seizures in an epilepsy model, Proc Natl Acad Sci U S A 106, 7191–7196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [28].Drexel M, Preidt AP, Kirchmair E, and Sperk G (2011) Parvalbumin interneurons and calretinin fibers arising from the thalamic nucleus reuniens degenerate in the subiculum after kainic acid-induced seizures, Neuroscience 189, 316–329. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [29].Houser CR (2014) Do structural changes in GABA neurons give rise to the epileptic state?, Adv Exp Med Biol 813, 151–160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [30].Huusko N, Romer C, Ndode-Ekane XE, Lukasiuk K, and Pitkanen A (2015) Loss of hippocampal interneurons and epileptogenesis: a comparison of two animal models of acquired epilepsy, Brain Struct Funct 220, 153–191. [DOI] [PubMed] [Google Scholar]
- [31].Cordon-Cardo C, O’Brien JP, Casals D, Rittman-Grauer L, Biedler JL, Melamed MR, and Bertino JR (1989) Multidrug-resistance gene (P-glycoprotein) is expressed by endothelial cells at blood-brain barrier sites, Proc Natl Acad Sci U S A 86, 695–698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [32].Schinkel AH (1999) P-Glycoprotein, a gatekeeper in the blood-brain barrier, Adv Drug Deliv Rev 36, 179–194. [DOI] [PubMed] [Google Scholar]
- [33].Löscher W, and Potschka H (2005) Blood-brain barrier active efflux transporters: ATP-binding cassette gene family, NeuroRx 2, 86–98. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [34].Löscher W, and Potschka H (2005) Drug resistance in brain diseases and the role of drug efflux transporters, Nat Rev Neurosci 6, 591–602. [DOI] [PubMed] [Google Scholar]
- [35].Dallas S, Miller DS, and Bendayan R (2006) Multidrug resistance-associated proteins: expression and function in the central nervous system, Pharmacol Rev 58, 140–161. [DOI] [PubMed] [Google Scholar]
- [36].Bauer B, Hartz AM, Pekcec A, Toellner K, Miller DS, and Potschka H (2008) Seizure-induced up-regulation of P-glycoprotein at the blood-brain barrier through glutamate and cyclooxygenase-2 signaling, Mol Pharmacol 73, 1444–1453. [DOI] [PubMed] [Google Scholar]
- [37].Zibell G, Unkruer B, Pekcec A, Hartz AM, Bauer B, Miller DS, and Potschka H (2009) Prevention of seizure-induced up-regulation of endothelial P-glycoprotein by COX-2 inhibition, Neuropharmacology 56, 849–855. [DOI] [PubMed] [Google Scholar]
- [38].Avemary J, Salvamoser JD, Peraud A, Remi J, Noachtar S, Fricker G, and Potschka H (2013) Dynamic regulation of P-glycoprotein in human brain capillaries, Mol Pharm 10, 3333–3341. [DOI] [PubMed] [Google Scholar]
- [39].van Vliet E, Zibell G, Pekcec A, Schlichtiger J, Edelbroek P, Holtman L, Aronica E, Gorter J, and Potschka H (2010) COX-2 inhibition controls P-glycoprotein expression and promotes brain delivery of phenytoin in chronic epileptic rats, Neuropharmacology 58, 404–412. [DOI] [PubMed] [Google Scholar]
- [40].Meurs A, Clinckers R, Ebinger G, Michotte Y, and Smolders I (2008) Seizure activity and changes in hippocampal extracellular glutamate, GABA, dopamine and serotonin, Epilepsy Res 78, 50–59. [DOI] [PubMed] [Google Scholar]
- [41].Kanamori K, and Ross BD (2011) Chronic electrographic seizure reduces glutamine and elevates glutamate in the extracellular fluid of rat brain, Brain Res 1371, 180–191. [DOI] [PubMed] [Google Scholar]
- [42].Zhang WQ, Hudson PM, Sobotka TJ, Hong JS, and Tilson HA (1991) Extracellular concentrations of amino acid transmitters in ventral hippocampus during and after the development of kindling, Brain Res 540, 315–318. [DOI] [PubMed] [Google Scholar]
- [43].Minamoto Y, Itano T, Tokuda M, Matsui H, Janjua NA, Hosokawa K, Okada Y, Murakami TH, Negi T, and Hatase O (1992) In vivo microdialysis of amino acid neurotransmitters in the hippocampus in amygdaloid kindled rat, Brain Res 573, 345–348. [DOI] [PubMed] [Google Scholar]
- [44].Ueda Y, and Tsuru N (1995) Simultaneous monitoring of the seizure-related changes in extracellular glutamate and gamma-aminobutyric acid concentration in bilateral hippocampi following development of amygdaloid kindling, Epilepsy Res 20, 213–219. [DOI] [PubMed] [Google Scholar]
- [45].Löscher W, Rundfeldt C, and Honack D (1993) Pharmacological characterization of phenytoin-resistant amygdala-kindled rats, a new model of drug-resistant partial epilepsy, Epilepsy Res 15, 207–219. [DOI] [PubMed] [Google Scholar]
- [46].Clinckers R, Gheuens S, Smolders I, Meurs A, Ebinger G, and Michotte Y (2005) In vivo modulatory action of extracellular glutamate on the anticonvulsant effects of hippocampal dopamine and serotonin, Epilepsia 46, 828–836. [DOI] [PubMed] [Google Scholar]
- [47].Bagdy G, Kecskemeti V, Riba P, and Jakus R (2007) Serotonin and epilepsy, J Neurochem 100, 857–873. [DOI] [PubMed] [Google Scholar]
- [48].Bozzi Y, and Borrelli E (2013) The role of dopamine signaling in epileptogenesis, Front Cell Neurosci 7, 157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [49].Bozzi Y, and Borrelli E (2006) Dopamine in neurotoxicity and neuroprotection: what do D2 receptors have to do with it?, Trends Neurosci 29, 167–174. [DOI] [PubMed] [Google Scholar]
- [50].Yan QS, Jobe PC, Cheong JH, Ko KH, and Dailey JW (1994) Role of serotonin in the anticonvulsant effect of fluoxetine in genetically epilepsy-prone rats, Naunyn Schmiedebergs Arch Pharmacol 350, 149–152. [DOI] [PubMed] [Google Scholar]
- [51].Igelström KM (2012) Preclinical antiepileptic actions of selective serotonin reuptake inhibitors--implications for clinical trial design, Epilepsia 53, 596–605. [DOI] [PubMed] [Google Scholar]
- [52].Vermoesen K, Massie A, Smolders I, and Clinckers R (2012) The antidepressants citalopram and reboxetine reduce seizure frequency in rats with chronic epilepsy, Epilepsia 53, 870–878. [DOI] [PubMed] [Google Scholar]
- [53].Clinckers R, Smolders I, Meurs A, Ebinger G, and Michotte Y (2004) Anticonvulsant action of hippocampal dopamine and serotonin is independently mediated by D and 5-HT receptors, J Neurochem 89, 834–843. [DOI] [PubMed] [Google Scholar]
- [54].Clinckers R, Smolders I, Meurs A, Ebinger G, and Michotte Y (2004) Anticonvulsant action of GBR-12909 and citalopram against acute experimentally induced limbic seizures, Neuropharmacology 47, 1053–1061. [DOI] [PubMed] [Google Scholar]
- [55].Hillert MH, Imran I, Zimmermann M, Lau H, Weinfurter S, and Klein J (2014) Dynamics of hippocampal acetylcholine release during lithium-pilocarpine-induced status epilepticus in rats, J Neurochem 131, 42–52. [DOI] [PubMed] [Google Scholar]
- [56].Jope RS, Simonato M, and Lally K (1987) Acetylcholine content in rat brain is elevated by status epilepticus induced by lithium and pilocarpine, J Neurochem 49, 944–951. [DOI] [PubMed] [Google Scholar]
- [57].Kiviranta T, Tuomisto L, and Airaksinen EM (1995) Histamine in cerebrospinal fluid of children with febrile convulsions, Epilepsia 36, 276–280. [DOI] [PubMed] [Google Scholar]
- [58].Hirai T, Okuma C, Harada C, Mio M, Ohtsu H, Watanabe T, and Kamei C (2004) Development of amygdaloid kindling in histidine decarboxylase-deficient and histamine H1 receptor-deficient mice, Epilepsia 45, 309–313. [DOI] [PubMed] [Google Scholar]
- [59].Jin Y, Silverman AJ, and Vannucci SJ (2007) Mast cell stabilization limits hypoxic-ischemic brain damage in the immature rat, Dev Neurosci 29, 373–384. [DOI] [PubMed] [Google Scholar]
- [60].Valle-Dorado MG, Santana-Gomez CE, Orozco-Suarez SA, and Rocha L (2015) The mast cell stabilizer sodium cromoglycate reduces histamine release and status epilepticus-induced neuronal damage in the rat hippocampus, Neuropharmacology 92, 49–55. [DOI] [PubMed] [Google Scholar]
- [61].Wada Y, Shiraishi J, Nakamura M, and Koshino Y (1996) Biphasic action of the histamine precursor L-histidine in the rat kindling model of epilepsy, Neurosci Lett 204, 205–208. [DOI] [PubMed] [Google Scholar]
- [62].Bhowmik M, Khanam R, and Vohora D (2012) Histamine H3 receptor antagonists in relation to epilepsy and neurodegeneration: a systemic consideration of recent progress and perspectives, Br J Pharmacol 167, 1398–1414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [63].Haas HL, Sergeeva OA, and Selbach O (2008) Histamine in the nervous system, Physiol Rev 88, 1183–1241. [DOI] [PubMed] [Google Scholar]
- [64].Luna-Munguia H, Starski P, Chen W, Gliske S, and Stacey WC (2017) Control of in vivo ictogenesis via endogenous synaptic pathways, Scientific reports 7, 1311. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [65].Crick EW, Osorio I, Bhavaraju NC, Linz TH, and Lunte CE (2007) An investigation into the pharmacokinetics of 3-mercaptopropionic acid and development of a steady-state chemical seizure model using in vivo microdialysis and electrophysiological monitoring, Epilepsy research 74, 116–125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [66].Crick EW, Osorio I, Frei M, Mayer AP, and Lunte CE (2014) Correlation of 3-mercaptopropionic acid induced seizures and changes in striatal neurotransmitters monitored by microdialysis, European Journal of Pharmaceutical Sciences 57, 25–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [67].Zhang J, Liu Y, Jaquins-Gerstl A, Shu Z, Michael AC, and Weber SG (2012) Optimization for speed and sensitivity in capillary high performance liquid chromatography. The importance of column diameter in online monitoring of serotonin by microdialysis, Journal of Chromatography A 1251, 54–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [68].Ngo KT, Varner EL, Michael AC, and Weber SG (2017) Monitoring Dopamine Responses to Potassium Ion and Nomifensine by in Vivo Microdialysis with Online Liquid Chromatography at One-Minute Resolution, ACS Chemical Neuroscience 8, 329–338. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [69].Liu Y, Zhang J, Xu X, Zhao MK, Andrews AM, and Weber SG (2010) Capillary ultrahigh performance liquid chromatography with elevated temperature for sub-one minute separations of basal serotonin in submicroliter brain microdialysate samples, Analytical chemistry 82, 9611–9616. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [70].Yang H, Thompson AB, McIntosh BJ, Altieri SC, and Andrews AM (2013) Physiologically relevant changes in serotonin resolved by fast microdialysis, ACS chemical neuroscience 4, 790–798. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [71].Wang M, Slaney T, Mabrouk O, and Kennedy RT (2010) Collection of nanoliter microdialysate fractions in plugs for off-line in vivo chemical monitoring with up to 2 s temporal resolution, Journal of neuroscience methods 190, 39–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [72].Wang M, Hershey ND, Mabrouk OS, and Kennedy RT (2011) Collection, storage, and electrophoretic analysis of nanoliter microdialysis samples collected from awake animals in vivo, Analytical and bioanalytical chemistry 400, 2013–2023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [73].Song P, Hershey ND, Mabrouk OS, Slaney TR, and Kennedy RT (2012) Mass spectrometry “sensor” for in vivo acetylcholine monitoring, Analytical chemistry 84, 4659–4664. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [74].Wang M, Roman GT, Perry ML, and Kennedy RT (2009) Microfluidic chip for high efficiency electrophoretic analysis of segmented flow from a microdialysis probe and in vivo chemical monitoring, Analytical chemistry 81, 9072–9078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [75].Wang M, Roman GT, Schultz K, Jennings C, and Kennedy RT (2008) Improved temporal resolution for in vivo microdialysis by using segmented flow, Analytical chemistry 80, 5607–5615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [76].Wang M, Slaney T, Mabrouk O, and Kennedy RT (2010) Collection of nanoliter microdialysate fractions in plugs for off-line in vivo chemical monitoring with up to 2s temporal resolution, Journal of neuroscience methods 190, 39–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [77].Kottegoda S, Shaik I, and Shippy SA (2002) Demonstration of low flow push–pull perfusion, Journal of neuroscience methods 121, 93–101. [DOI] [PubMed] [Google Scholar]
- [78].Slaney TR, Mabrouk OS, Porter-Stransky KA, Aragona BJ, and Kennedy RT (2012) Chemical gradients within brain extracellular space measured using low flow push–pull perfusion sampling in vivo, ACS chemical neuroscience 4, 321–329. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [79].Cepeda DE, Hains L, Li D, Bull J, Lentz SI, and Kennedy RT (2015) Experimental evaluation and computational modeling of tissue damage from low-flow push–pull perfusion sampling in vivo, Journal of neuroscience methods 242, 97–105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [80].Thongkhao-on K, Wirtshafter D, and Shippy SA (2008) Feeding specific glutamate surge in the rat lateral hypothalamus revealed by low-flow push–pull perfusion, Pharmacology Biochemistry and Behavior 89, 591–597. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [81].Cellar NA, Burns ST, Meiners J-C, Chen H, and Kennedy RT (2005) Microfluidic chip for low-flow push-pull perfusion sampling in vivo with on-line analysis of amino acids, Analytical chemistry 77, 7067–7073. [DOI] [PubMed] [Google Scholar]
- [82].Slaney TR, Nie J, Hershey ND, Thwar PK, Linderman J, Burns MA, and Kennedy RT (2011) Push–pull perfusion sampling with segmented flow for high temporal and spatial resolution in vivo chemical monitoring, Analytical chemistry 83, 5207–5213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [83].Lee WH, Slaney TR, Hower RW, and Kennedy RT (2013) Microfabricated sampling probes for in vivo monitoring of neurotransmitters, Analytical chemistry 85, 3828–3831. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [84].Lee WH, Ngernsutivorakul T, Mabrouk OS, Wong J-MT, Dugan CE, Pappas SS, Yoon HJ, and Kennedy RT (2016) Microfabrication and in Vivo Performance of a Microdialysis Probe with Embedded Membrane, Analytical chemistry 88, 1230–1237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [85].Boyden ES, Zhang F, Bamberg E, Nagel G, and Deisseroth K (2005) Millisecond-timescale, genetically targeted optical control of neural activity, Nature neuroscience 8, 1263–1268. [DOI] [PubMed] [Google Scholar]
- [86].Bentley JN, Chestek C, Stacey WC, and Patil PG (2013) Optogenetics in epilepsy, Neurosurgical focus 34, E4. [DOI] [PubMed] [Google Scholar]
- [87].Krook-Magnuson E, Armstrong C, Oijala M, and Soltesz I (2013) On-demand optogenetic control of spontaneous seizures in temporal lobe epilepsy, Nature communications 4, 1376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [88].Yekhlef L, Breschi GL, and Taverna S (2017) Optogenetic activation of VGLUT2-expressing excitatory neurons blocks epileptic seizure-like activity in the mouse entorhinal cortex, Scientific reports 7, 43230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [89].Parrot S, Denoroy L, Renaud B, and Benetollo C (2015) Why optogenetics needs in vivo neurochemistry, ACS chemical neuroscience 6, 948–950. [DOI] [PubMed] [Google Scholar]
- [90].Carter ME, Yizhar O, Chikahisa S, Nguyen H, Adamantidis A, Nishino S, Deisseroth K, and de Lecea L (2010) Tuning arousal with optogenetic modulation of locus coeruleus neurons, Nature neuroscience 13, 1526–1533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [91].Quiroz C, Orrú M, Rea W, Yepes G, Britt JP, and Ferré S (2016) Local Control of Extracellular Dopamine Levels in the Medial Nucleus Accumbens by a Glutamatergic Projection from the Infralimbic Cortex, The Journal of Neuroscience 36, 851–859. [DOI] [PMC free article] [PubMed] [Google Scholar]





