Abstract
Duration of untreated psychosis (DUP) is defined as the time from the onset of psychotic symptoms until the first treatment. Studies have shown that longer DUP is associated with poorer response rates to antipsychotic medications and impaired cognition, yet the neurobiologic correlates of DUP are poorly understood. Moreover, it has been hypothesized that untreated psychosis may be neurotoxic. Here, we conducted a comprehensive review of studies that have examined the neurobiology of DUP. Specifically, we included studies that evaluated DUP using a range of neurobiologic and imaging techniques and identified 83 articles that met inclusion and exclusion criteria. Overall, 27 out of the total 83 studies (32.5%) reported a significant neurobiological correlate with DUP. These results provide evidence against the notion of psychosis as structurally or functionally neurotoxic on a global scale and suggest that specific regions of the brain, such as temporal regions, may be more vulnerable to the effects of DUP. It is also possible that current methodologies lack the resolution needed to more accurately examine the effects of DUP on the brain, such as effects on synaptic density. Newer methodologies, such as MR scanners with stronger magnets, PET imaging with newer ligands capable of measuring subcellular structures (e.g., the PET ligand [11C]UCB-J) may be better able to capture these limited neuropathologic processes. Lastly, to ensure robust and replicable results, future studies of DUP should be adequately powered and specifically designed to test for the effects of DUP on localized brain structure and function with careful attention paid to potential confounds and methodological issues.
INTRODUCTION
Psychotic disorders are a debilitating group of disorders that most often begin in the late second to early third decades of life [1]. An early, seminal review by McGlashan highlighted that most deterioration occurs in the first few years of the illness [2]. This was followed shortly by another important review underscoring the long-term benefits of early treatment with antipsychotic medications [3]. Over the past several decades, a wealth of evidence has become available which supports the importance of early treatment for psychotic disorders, and in particular for limiting the duration of untreated psychosis (DUP), or the time from the onset of psychotic symptoms until first treatment. These include studies showing that longer DUP is associated with worse positive symptoms [4, 5], negative symptoms [4–6], and, on a number of measures, functioning [4, 5]. Some studies have also suggested increased relapse rates or worse response rates to antipsychotic medications in individuals with longer DUP [5]. Studies of the effects of DUP on neurocognition have not demonstrated global relationships, though some specific cognitive functions may be adversely affected by longer DUP [7–9]. One study even reported that longer DUP may be associated with an increased risk for psychotic homicide [10]. Many of these outcomes have also been observed in low- and middle-income countries [11] and become worse over time, further confirming the dynamic nature of the first-episode time period, and psychosis in general [12].
While early intervention programs, such as Treatment and Intervention in Psychosis Study [13, 14] and Recovery After an Initial Schizophrenia Episode [15–18], have been modestly successful at reducing DUP or improving outcomes after the first episode of psychosis, a recent meta-analysis showed that there was overall no benefit of these interventions on reducing DUP [19]. Furthermore, the primary treatment for psychotic disorders remains antipsychotic medications, which significantly improve positive symptoms and prevent relapse, but do not address negative or cognitive symptoms or prevent illness onset [20]. Taken together, these data suggest the need to develop more targeted approaches to the treatment of early psychosis, and in particular to modify the deleterious effects of longer DUP. Efforts to develop treatments that substantially alter the course of psychotic disorders have been hampered by a lack of understanding of the neurobiology and pathogenesis of DUP.
The pathogenesis of psychosis, and in particular schizophrenia, was from very early on thought to be progressive in nature [21, 22]. Decades of research have revealed that the pathogenesis of psychotic disorders likely involves early life abnormalities in brain development that interact with aberrant pathophysiological processes during puberty which together lead to the expression of psychotic illness [23–25]. Aberrant synaptic pruning [25], sensitization of the dopaminergic system [26], and neurobiological adaptations to chronic N-methyl-D-aspartate receptor dysfunction [27] are possible pathophysiological mechanisms that produce limited neurodegeneration early in the course of psychotic illness [28]. Whether psychosis itself is neurotoxic remains a matter of debate [29] and various hypotheses for how untreated psychosis could impact brain function have been proposed. Dopaminergic hyperactivity leading to a progressive reduction in regional brain volumes [30] and oxidative injury due to persistent catecholaminergic activity and prolonged activation of the hypothalamic–pituitary–adrenal axis [31] provide possible explanations for how chronic psychosis could be neurotoxic. In addition, glutamate-mediated excitotoxicity may also contribute to these effects through neuronal overstimulation that leads to an excessive influx of calcium and subsequent excitotoxicity and, ultimately, cell death via apoptosis [24].
Clinically oriented studies of DUP and neurotoxicity to date do not support a clear neurotoxic effect of psychosis [29], though the substantial methodological limitations of the available studies limit any definitive conclusions. While these aforementioned studies were mostly not designed to directly address the topic of DUP and neurotoxicity, a number of studies from the previous several decades have examined the neurobiologic correlates of DUP. Anderson et al. published a review of 48 neuroimaging studies that examined DUP in 2015 [32]. They highlighted the substantial limitations of the studies that they reviewed and concluded that while there was limited evidence for an association between brain structure and DUP, they were unable to draw any strong conclusions about a relationship between DUP and brain structure, or lack thereof.
The objective of the current study was to conduct a comprehensive review of all studies that have examined the neurobiology of DUP. In addition to reviewing studies that have been published since Anderson et al.’s review [32], we included all studies meeting our inclusion criteria that examine the neurobiology of DUP, including computed tomography (CT), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), magnetic resonance spectroscopy (MRS), near-infrared spectroscopy (NIRS), electroencephalogram (EEG), and positron emission tomography (PET) studies. In our discussion and synthesis, we particularly focus on the implications of our findings for future studies on the neurobiology of DUP.
METHODS
We searched the PubMed database on March 5, 2021, using the following broad search terms: (duration of untreated) and (illness or psychosis or psychotic or schizophrenia or schizoaffective). This search resulted in 1416 results when limited to English. We reviewed the titles, abstracts, and/or full texts of all 1416 articles and identified 63 that examined the neurobiology of DUP. We then excluded 5 review articles, 7 articles focused on peripheral biomarkers, and 1 article that did not use research methodologies to examine neurobiological lesions.
In addition to the 50 articles identified by our search, we examined the bibliographies of relevant studies and review articles and identified another 33 articles that we included in our review, for a total of 83 articles included in this review (Tables 1–3). We included studies of individuals with any category of psychosis (e.g., schizophrenia, affective psychosis, delusional disorder, substance-induced psychotic disorder, etc.) and any method that directly examines the brain (MRI, CT, PET, MRS, NIRS, EEG). We did not impose any restrictions on date. Articles and data were extracted in duplicate by two of the authors (AWZ and RRG). The following data were extracted for each article: author, publication year, sample size, diagnosis, clinical severity, treatment setting, mean age, gender, antipsychotic exposure, treatment duration, mean length of DUP, imaging modality, magnet strength, and brain regions with significant or non-significant associations. We separately conducted an assessment of study quality and risk of bias for each study using a modified version of the Newcastle-Ottawa Scale [33]. See Fig. 1 for a PRISMA flow diagram.
Table 1.
PET, NIRS, MRS, and EEG studies of DUP.
| Author | Year | n | Dx | Clinical severity and/or phase of illness | Mean age (SD) years | % Male | AP N/F/M | AP Tx length | Mean DUP/DUI (SD) months | Imaging measure | Magnet strength | Result |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hafizi | 2017 | 19 | FEP | FEP; mildly symptomatic based on the PANSS | 27.5 (6.7) | 63 | 14/5/0 | <4 weeks | 33.6 (40.1) duration of illness which is DUP only for the AP naive patients | PET-[18F]-FEPPA | NA | No relationship between DUI/DUP and inflammation in whole brain, hippocampus, DLPFC, temporal lobe, total gray matter or MPFC |
| Watts | 2020 | 27 | FEP | Psychosis; mildly symptomatic based on the PANSS | 25.1 (5.3) | 81 | 8/8/11 | NR | NR | PET-11C-CURB | NA | Longer DUP was related to higher fatty acid amide hydrolase in the brain including regions such as amygdala, hippocampus, striatum, DLPFC and MPFC, and ACC |
| Chou | 2014 | 62 | SCZ | SCZ; inpatients and outpatients; mildly symptomatic based on the PANSS | 26.3 (9.0) SDUP 31.3 (8.6) LDUP |
52 | 5/0/56 | 1.7 (1.4) SDUP 58.4 (36.8) LDUP |
13.0 (21.0) SDUP 6.9 (10.9) LDUP |
NIRS | NA | In the group with a long duration of treatment (>6 months), DUP was negatively associated with activity in the left inferior frontal gyrus, left middle frontal gyrus, left postcentral gyrus, right precentral gyrus, bilateral superior temporal gyrus, and bilateral middle temporal gyrus. There were no relationships between DUP and cortical activity in the short duration of treatment (<6 months) group |
| Chou | 2015 | 28 | SCZ | First-episode SCZ; inpatient or outpatient; mildly symptomatic based on the PANSS | 30.8 (6.1) | 54 | 0/0/28 | <12 weeks | 20.7 (27.9) | NIRS | NA | No relationship between DUP and frontotemporal activity during verbal fluency tests |
| Nishimura | 2014 | 73 | SCZ | Chronic SCZ; outpatients or inpatients; mildly to moderately symptomatic based on the PANSS | 38.3 (11.4) GG group; 36.1 (13.7) GA group; 38.3 (13.6) AA group | 47 | NR | NR | 19.8 (32.9) in the GG group; 12.1 (18.0) in the GA group; 48.3 (42.0) in the AA group | NIRS | NA | No relationship between DUP and activation in frontal cortex during verbal fluency test in any EGR3 genotype (GG/GA/AA) group |
| Briend | 2020 | 54 | FEP | First episode; inpatient, outpatient, or emergency room; mild symptoms based on the BPRS | 23.9 (6.2) | 65 | NR | <5 days | 4.7 (8.5) | MRS/PRESS and volumetry | 3T | Longer DUP associated with smaller left whole hippocampus volumes as well as subregions (tail, CA1, subiculum, presubiculum, molecular layer). Longer DUP also associated with higher glutamate + glutamine levels in the hippocampus (left). |
| Bryll | 2020 | 40 | SCZ | Inpatient and acutely decompensated moderately symptomatic based on the PANSS | 22.7 (7.4) | 55 | NR | NR | 0.8 (0.9) | MRS/PRESS | 1.5T | Inverse relationship between DUP and glucose in the right frontal lobe and a positive relationship between DUP and choline in the anterior cingulate |
| Galinska | 2009 | 30 | SCZ | First treatment SCZ; moderately symptomatic based on the PANSS | 22.5 (3.6) | 1/0/29 | 12–224 days | 7.3 (11.6) | MRS/PRESS | 1.5T | No relationship between DUP and metabolites in left frontal lobe, left thalamus, or left temporal lobe | |
| Jayakumar | 2006 | 12 | SCZ | First-episode SCZ; outpatients; moderately symptomatic based on the PANSS | 28.7 (8.8) | 83 | 12/0/0 | NA | 47.3 (41.1) | Volumetry/31P MRS | 1.5T | No relationship between caudate volumes and DUP and no relationship between DUP and 31P metabolites |
| Shirayama | 2010 | 19 | SCZ | Outpatients with SCZ; mildly symptomatic based on the BPRS | 30.5 (5.6) | 63 | NR/NR/18 | NR | 31.2 (28.8) | MRS/PRESS | 3T | DUP was found to be positively related to NAA/(GPC + PC) ratio and negatively related to the (GPC + PC)/(Cr + PCr) ratio in the medial prefrontal cortex |
| Theberge | 2004 | 19 | SCZ | First-episode SCZ | 25 (8) | 74 | 19/0/0 | NA | 28 (26) | MRS/STEAM | 4T | DUP was positively correlated with choline, but not NAA, in left anterior cingulate and left thalamus |
| Wang | 2005 | 18 | SCZ | First-episode SCZ; moderately symptomatic based on the BPRS | 30.0 (8.6) SDUP 29.6 (6.2) LDUP |
61 | 18/0/0 | NA | 5.5 (4.0) SDUP 61.1 (43.5) LDUP |
EEG | NA | Neither P300 amplitude nor latency differed between patient groups with short (<2 years) or long (≥2 years) DUP |
| Manchanda | 2005 | 122 | FEP | FEP; inpatients and outpatients | 25.1 (8.0) | 76 | NR | NR | 17.1 in the group with normal EEGs; 17.2 in the group with essentially normal EEGs; 13.2 in the group with abnormal EEGs | EEG | NA | No relationships between EEG abnormalities and DUP |
| Manchanda | 2008 | 117 | FEP | FEP; inpatients and outpatients; mildly symptomatic based on the SAPS and SANS | NR | 74 | NR | NR | 18.8 (27.8) | EEG | NA | No relationships between EEG abnormalities and DUP |
| Manchanda | 2014 | 103 | FEP | FEP; mildly symptomatic based on the SAPS and SANS | NR | 77 | NR | NR | NR | EEG | NA | No relationships between EEG and DUP |
Dx diagnosis, Tx treatment, AP N/F/M antipsychotic naive/free/medicated, FEP first episode of psychosis, SCZ schizophrenia, SAD schizoaffective disorder, SPD schizophreniform disorder, PNOS psychosis NOS, SDUP short duration of untreated psychosis, LDUP long duration of untreated psychosis, DUP duration of untreated psychosis, CT computed tomography, MRI magnetic resonance imaging, fMRI functional magnetic resonance imaging, rsfMRI resting-state functional magnetic resonance imaging, NIRS near-infrared spectroscopy, MRS magnetic resonance spectroscopy, STEAM stimulated echo acquisition mode, PRESS point-resolved spectroscopy, DTI diffusion tensor imaging, FA fractional anisotropy, EEG electroencephalogram, PET positron emission tomography, T Tesla, NA not applicable, NR not reported, RD responder, NRD non-responder, BPRS Brief Psychiatric Rating Scale, PANSS Positive and Negative Syndrome Scale.
Table 3.
Structural imaging studies.
| Author | Year | n | Dx | Clinical severity and/or phase of illness | Mean age (SD) years | % Male | AP N/F/M | AP Tx length | Mean DUP/DUI (SD) months | Imaging measure | Magnet strength | Result |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bangalore | 2009 | 82 | FEP | FEP; inpatient or Outpatient | 23.7 (6.5) | 74 | 77/0/5 | 1–2 days | 30.4 (39.9); DUI 49.8 (50.6) | Volumetry | 1.5T | DUI was inversely related to gray matter density in the left fusiform gyrus extending into the left lingual gyrus, left declive, and right parahippocampal gyrus. |
| Behere | 2009 | 14 | SCZ | Mildly symptomatic based on SANS and SAPS | 27.9 (6.2) | 64 | 14/0/0 | NA | 27.6 (28.7) | Volumetry | 3T | No relationship between DUP and orbitofrontal cortex volumes |
| Boonstra | 2011 | 57 | SCZ | Mildly to moderately symptomatic based on the PANSS | 24.7 (5.8) | 89 | 36/0/0 | NA | DUI 73.1 (73.9) | Volumetry | 1.5T | No relationship between DUP and cerebral gray or white matter, total brain volume, cerebellar volume, or ventricular volume at baseline or change in these measures over 5 years |
| Cahn | 2002 | 20 | SCZ | First-episode SCZ; mildly to moderately symptomatic based on the PANSS | 27.6 (6.4) | 80 | 20/0/0 | NA | 48.1 (61.1) | Volumetry | 1.5T | No relation between total brain, frontal lobe, gray/white matter, cerebellar, hippocampal, thalamic, caudate, lateral, and third ventricular volumes at DUP |
| Crespo-Facorro | 2007b | 61 | FEP | FEP; outpatient or inpatient; moderately symptomatic based on the SANS and SAPS | 27.8 (7.4) | 71 | 0/0/61 | <6 weeks | 10.1 (17.1) | Volumetry | 1.5T | No relationship between DUP and thalamic volumes in correlational analyses and inversely related in a regression analysis |
| Crespo-Facorro | 2007a | 76 | FEP | FEP; outpatient or inpatient; moderately symptomatic based on the SANS and SAPS | 27.7 (6.8) | 70 | 0/0/76 | <6 weeks | 11.1 (18.1) | Volumetry | 1.5T | Inverse relationship between DUP and caudate volume |
| Crespo-Facorro | 2009 | 142 | FEP | FEP; outpatient or inpatient; mildly to moderately symptomatic based on the SANS and SAPS | 30.7 (9.0) SCZ group 28.5 (9.2) SPD group 28.4 (6.3) PNOS group |
62 | 0/0/142 | <6 weeks | 17.6 (35.4) SCZ group 4.9 (7.1) SPD group 6.4 (19.6) PNOS group |
Volumetry | 1.5T | No relationships between DUP and whole-brain gray matter, cortical lobe gray matter volumes, lateral ventricular volume, caudate, putamen, and whole-brain white matter volumes |
| Crespo-Facorro | 2010 | 142 | FEP | FEP; outpatient or inpatient; mildly to moderately symptomatic based on the SANS and SAPS | 29.7 (NR) | 62 | 0/0/142 | <6 weeks | 12.5 (28.8) | Volumetry | 1.5T | No relationship between DUP and insular volumes or cortical surface |
| Crespo-Facorro | 2011 | 142 | FEP | FEP; outpatient or inpatient; mildly to moderately symptomatic based on the SANS and SAPS | 29.7 (8.7) | 62 | 0/0/142 | <6 weeks | 12.5 (28.8) | Volumetry | 1.5T | No relationship between DUP and total cortical thickness or thickness of each cortical lobe |
| Duggal | 2005 | 30 | FEP | First-episode SCZ; inpatients or outpatients; moderately symptomatic based on the SANS, SAPS, and BPRS | 31.4 (5.5) in males; 25.9 (8.7) in females | 50 | 30/0/0 | NA | 32.9 (43.6) in males; 42.9 (32.0) in females | Volumetry | 1.5T | No relationship between DUP and insular volumes in medication naive participants with SCZ |
| Ebdrup | 2010 | 38 | SCZ | First-episode SCZ; moderately symptomatic based on the PANSS | 26.2 (5.4) | 68 | 38/0/0 | NA | DUI 41.5 (51.1) | Volumetry | 3T | No relationship between DUP and striatal or ventricular volumes, but a trend inverse relationship between DUP and hippocampal volumes |
| Emsley | 2017 | 23 | SCZ and SPD | First-episode SCZ or SPD; inpatients and outpatients | 25.3 (6.5) | 78 | 23/0/0 | NA | 10.6 (11.3) at the time of baseline scan | Volumetry | 3T | DUP did not affect change in cortical volume after a year of treatment with antipsychotic medications |
| Fannon | 2000 | 37 | SCZ, SAD, or SPD | FEP; inpatients or outpatients | 24.2 (4.9) | 70 | 13/NR/NR | <12 weeks | 6.6 (6.1) | Volumetry | 1.5T | No relationships between DUP and whole-brain volume, cortical gray matter, temporal lobe volume, or ventricular (lateral or third) volumes |
| Goff | 2018 | 57 | SCZ or SPD | First-episode SCZ or SPD; inpatients and outpatients; mildly to moderately symptomatic based on the PANSS | 25.5 (7.3) | 46 | 57/0/0 | NA | 5.9 (5.2) at baseline | Volumetry | 3T | No relationship between DUP and left or right hippocampal volumetric integrity (HVI) at baseline. DUP was correlated with left but not right HVI annualized reduction from baseline to 8-week follow-up |
| Gunduz | 2002 | 51 | SCZ | First-episode SCZ, SAD, or SPD | 24.5 (5.0) | 73 | 36/0/15 | 10.7 (11.5) days | 22.0 (36.6) | Volumetry | 1.5T | No relationship between DUP and basal ganglia regions of interest (caudate, putamen, nucleus accumbens subcommissural limbic forebrain) |
| Guo | 2013 | 57 | SCZ | Inpatients with SCZ; mildly to moderately symptomatic based on the PANSS | 25.1 (6.3) SDUP 25.7 (6.7) LDUP |
59 SDUP 53 LDUP |
57/0/0 | NA | 1.7 (0.3) SDUP; 14.0 (2.6) LDUP | Volumetry | 1.5T | Inverse relationships between DUP and right parahippocampal gyrus, right superior temporal gyrus, left fusiform gyrus, left middle temporal gyrus, and right superior frontal gyrus |
| Gutierrez-Galve et al. | 2010 | 37 | SCZ or SAD | First-episode SCZ or SAD | 26.8 (8.8) | 68 | 0/0/37 | <384 days | 10.4 (22.8) | Morphometry | 1.5T | No relationship between DUP and cortical thickness or surface area in frontal or temporal regions |
| Haukvik | 2016 | 79 | FEP | FEP; mildly symptomatic based on the PANSS | 27.6 (7.7) | 66 | 52 of 138 patients at baseline and 42 of 79 at follow were taking antipsychotic medications | NR | 31.7 (49.5) | Volumetry | 1.5T | No relationship between a wide variety of cortical and subcortical volumes and DUP |
| Hietala | 2003 | 14 | SCZ or SAD | First admission and episode SCZ | 29.9 (7.3) | NR | 14/0/0 | NR | 36 median | Volumetry | 1.5T | Relationship between longer DUP and less left temporal gray matter volume |
| Ho | 2003 | 156 | SCZ, SAD, or SPD | First-episode SCZ, SAD, or SPD; moderately symptomatic based on the SANS and SAPS | 25.8 (8.4) | 62 | 124/NR/NR | <3 months for full group | 17.3 (33.9) for full group | Volumetry | 1.5T | No relationships between DUP and any gray or white matter of cortical lobes, or cerebellar or CSF volumes |
| Ho | 2005 | 105 | SCZ, SAD, or SPD | First-episode SCZ, SAD, or SPD; moderately symptomatic based on the SANS and SAPS | 26.6 (9.0) | 61 | S4/NR/NR | <3 months | 14.0 (27.5) | Volumetry | 1.5T | No relationships between DUP and hippocampal volumes |
| Hoff | 2000 | 50 | SCZ, SPD, SAD, PNOS | FEP, inpatients | 27.4 (7.0) | 64 | 0/0/50 | <1 month | 11.4 (16.2) | Volumetry | NR | No relationships between DUP and cerebral hemisphere, lateral ventricular, or temporal lobe volumes |
| Ichimiya | 2001 | 20 | SCZ or SPD | SCZ or SPD | 28.3 (6.9) | 100 | 20/0/0 | NA | 61.2 (62.4) | Volumetry | 1.5T | No relationship between DUP and cerebellar vermal volume |
| Jayakumar | 2005 | 18 | SCZ | First-episode SCZ; mildly to moderately symptomatic based on the PANSS | 24.9 (6.3) | 50 | 18/0/0 | NA | 10.3 (5.1) | Volumetry | 1.5T | No relationship between DUP and overall gray matter, white matter, CSF, and intracranial volumes |
| John | 2008 | 23 | SCZ or SPD | Recent onset (<5 years) SCZ or SPD; outpatient | 30.1 (5.8) | 44 | 23/0/0 | NA | 16.3 (14.8) | Morphometry | 1.5T | No relationship between the area of whole corpus callosum or its regions and DUP |
| Joyal | 2003 | 18 | SCZ or SAD | First-episode SCZ or SAD; mildly to moderately symptomatic based on the PANSS | 28.0 (7.0) | 61 | 18/0/0 | NA | 41.0 (34.0) | Volumetry | 1.5T | No relationship between amygdaloid volume and DUP |
| Keshavan | 1998a | 25 | FEP | FEP | 25.4 (8.3) SCZ group 21.8 (5.4) Non-SCZ psychosis group |
64 | 25/0/0 | NA | 37.9 (47.1) SCZ group 23.9 (27.6) Non-SCZ psychosis group |
Volumetry | 1.5T | DUP was inversely related to the volume of the left superior temporal gyrus, primarily in males |
| Keshavan | 1998b | 25 | SCZ or SAD | FEP | 27.2 (8.9) SCZ group 23.2 (0.7) Non-SCZ psychosis group |
60 | 25/0/0 | NA | 70.3 (62.8) SCZ group 36.2 (37.1) Non-SCZ psychosis group |
Volumetry | 1.5T | No relationship between caudate or putamen volumes and DUP |
| Keshavan | 2002 | 31 | SCZ, SAD, or SPD | First-episode SCZ, SAD, SPD; inpatient or outpatient; mildly to moderately symptomatic based on the BPRS | 24.2 (8.1) | 65 | 31/0/0 | NA | 63.6 (65.5) | Morphometry | 1.5T | No relationship between the area of whole corpus callosum or its regions and DUP |
| Lappin | 2006 | 81 | FEP | FEP; outpatient or inpatient | 26.8 (7.8) | 61 | NR/NR/69 | NR | 2.6 (3.5) | Volumetry | 1.5T | Longer DUP was associated with gray matter reductions in left middle and inferior temporal, left occipital, and left fusiform cortices, and with gray matter excess of the left basal ganglia. No relationships between DUP and whole gray or white matter volumes or CSF volumes |
| Madsen | 1999 | 21 | SCZ | First-episode SCZ or SPD; inpatients | 33 (20–41) median RD group 27 (19–40) median NRD group |
NR | NR | <“a few weeks” | 5 (1–120) median RD group 60 (1–120) median NRD group |
CT Volumetry | NA | DUP predicted greater frontal sulcal enlargement over 5 years |
| Malla | 2002 | 114 | SCZ or SPD | First-episode SCZ or SPD; inpatients and outpatients; mildly to moderately symptomatic based on the SANS and SAPS | 27.0 (9.9) | 69 | 73% unmedicated | NR | 26.4 (42) | CT Volumetry | NA | No relationship between DUP and CT volumes |
| Malla | 2011 | 80 | FEP | FEP; inpatients and outpatients; mildly symptomatic based on the PANSS | 23.4 (3.5) SDUP 24.3 (3.7) LDUP |
73 | NR/NR/73 | NR | 1.8 (1.3) SDUP 26.5 (39.8) LDUP |
Volumetry | 1.5T | Short-DUP patients (<18 weeks) showed larger volumes in whole-brain gray matter, bilateral medial frontal gyri, bilateral rectal gyri, left frontal subgyral, left postcentral gyrus, and right superior parietal lobule than long DUP (>18 weeks) patients. Long DUP patients displayed larger volumes in the left inferior parietal lobule. No differences in whole-brain white matter volume |
| Penttila | 2010 | 46 | SCZ | Psychosis | NR | 59 | NR | NR | 7.6 mean; 4.8 median | Volumetry | 1.5T | No relationships between DUP and gray matter or white matter volume or CSF. DUP was inversely associated with right limbic area (hippocampus) |
| Rapp | 2017 | 23 | FEP | FEP; mildly to moderately symptomatic based on the BPRS | 27.2 (6.5) | 74 | 14/0/9 | <3 weeks | 11.3 (16.6) | Volumetry | 1.5T | No relationship between DUP and hippocampal, pituitary, or gray matter volume when adjusted for age, sex, and whole-brain volume; a positive relationship between pituitary volume and DUP when adjusting for only whole-brain volume |
| Roiz-Santianez | 2010b | 118 | SCZ or SPD | First-episode SCZ or SPD | 30.0 (9.1) | 61 | 0/0/118 | <25 weeks | 13.7 (30.2) | Volumetry | 1.5T | No relationship between DUP and insular thickness |
| Roiz-Santianez | 2010a | 80 | SCZ | First-episode SCZ | NR | 60 | 0/0/80 | 4.4 (3.7) mean weeks | 17.8 (35.8) at intake to program (not at time of scan) | Volumetry | 1.5T | No relationship between DUP and temporal pole volume |
| Roiz-Santianez | 2011 | 141 | FEP | FEP; inpatients, outpatients, emergency room referrals; mildly to moderately symptomatic based on the BPRS, SANS, and SAPS | 29.6 (8.6) | 62 | 0/0/141 | NR | 12.6 (28.9) | Volumetry | 1.5T | No relationship between DUP and straight gyrus volume or surface area |
| Smith | 2012 | 58 | SCZ, SAD, or SPD | First-episode SCZ, SAD, or SPD | 20.6 (4.9) val/val group 20.6 (4.5) met group |
66 | 36/0/22 | 15-day median | 13.0 median val/val group 9.7 median met group |
Volumetry | 1.5T | No relationship between DUP and hippocampal volume |
| Takahashi | 2007 | 38 | SCZ | SCZ inpatients and outpatients with an illness duration less than 5 years; mildly symptomatic based on the SAPS and SANS | 24.1 (4.3) | 53 | NR/NR/37 | 11.8 (15.7) months | 6.6 (10.7) | Volumetry | 1.5T | Individuals with longer DUP had smaller left planum temporale; no relationships between DUP and prefrontal volumes |
| Takayanagi | 2010 | 42 | SCZ | First-episode SCZ; inpatients; mildly to moderately symptomatic based on the BPRS | 28.6 (5.9) males; 29.7 (5.7) females | 57 | 0/0/42 | 57.4 days | 7.7 (10.3) males; 9.9 (13.6) females | Volumetry | 1.5T | No relationship between DUP and orbitofrontal volumes |
| Tauscher-Wisniewski | 2005 | 37 | FEP | FEP | 25.5 (5.8) | 59 | 37/0/0 | NA | 24.4 (31.6) | Volumetry | 1.5T | No relationship between DUP and caudate volume when age is used as a covariate |
| Venkatasubramanian | 2003 | 15 | SCZ | SCZ; outpatients; moderately to severely symptomatic based on the PANSS | 31 (11) | 47 | 15/0/0 | NA | 48 (range 6–144) | Volumetry | 1.5T | No relationship between DUP and caudate volumes |
| Venkatasubramanian | 2008 | 51 | SCZ | SCZ; moderately symptomatic based on the PANSS | 30.2 (7.9) | 57 | 51/0/0 | NA | 37.8 (36.5) | Volumetry | 1.5T | No relationship between DUP and thickness of the left medial orbitofrontal cortex and the remaining volumes of bilateral pars triangularis, bilateral lateral orbitofrontal cortex, or left medial OFC and the thickness of right medial OFC |
| Venkatasubramanian | 2010 | 66 | SCZ | SCZ; moderately symptomatic based on the PANSS | 28.6 (7.9) | 61 | 66/0/0 | NA | 38.2 (35.1) | Morphometry | 1.5T | No relationship between DUP and corpus callosum areas |
| Whitworth | 1998 | 41 | SCZ | First-episode SCZ; inpatient | 24.5 (4.7) | 100 | NR | <1 week | 8.3 (17.7) | Volumetry | 1.5T | No relationship between DUP and total brain volume, each hemisphere, hippocampal volume, or amygdala volume |
| Xiao | 2015 | 128 | SCZ | First-episode SCZ; moderately to severely symptomatic based on the PANSS | 24.3 (8.1) | 39 | 128/0/0 | NA | 11.5 (22.0) | Volumetry | 3T | No relationship between DUP and cortical thickness |
| Yao | 2014 | 64 | SCZ | First-episode SCZ; moderately to severely symptomatic based on the PANSS | 24.2 (8.6) | 44 | 64/0/0 | NA | 8.6 (14.3) | Volumetry | 3T | No relationship between white matter volume and DUP in left posterior limb of the internal capsule, the right posterior limb of the internal capsule, and right subgyral frontal white matter near the precentral gyrus |
| Zanetti | 2008 | 129 | FEP | FEP | 29.0 (range 18–50) | 55 | NR/NR/76 | NR | 22.8 (47.8) | White matter hyperintensities | 1.5T | No relationship between DUP and white matter hyperintensities |
Dx diagnosis, Tx treatment, AP N/F/M antipsychotic naive/free/medicated, FEP first episode of psychosis, SCZ schizophrenia, SAD schizoaffective disorder, SPD schizophreniform disorder, PNOS psychosis NOS, SDUP short duration of untreated psychosis, LDUP long duration of untreated psychosis, DUP duration of untreated psychosis, CT computed tomography, MRI magnetic resonance imaging, fMRI functional magnetic resonance imaging, rsfMRI resting-state functional magnetic resonance imaging, NIRS near-infrared spectroscopy, MRS magnetic resonance spectroscopy, STEAM stimulated echo acquisition mode, PRESS point-resolved spectroscopy, DTIL diffusion tensor imaging, FA fractional anisotropy, EEG electroencephalogram, PET positron emission tomography, T Tesla, NA not applicable, NR not reported, RD responder, NRD non-responder, BPRS Brief Psychiatric Rating Scale, PANSS Positive and Negative Syndrome Scale.
Fig. 1. PRISMA figure.

Flow chart showing the identification and review of articles included in this review.
RESULTS
PET
A few PET studies have examined relationships between neurobiology and DUP (Table 1). In a recent study, investigators examined the relationship between the brain’s endocannabinoid system and DUP using the fatty acid amide hydrolase radioligand [11C]CURB in 27 patients with first-episode psychosis (FEP) (16 of whom were antipsychotic free). They found that longer DUP was related to higher fatty acid amide hydrolase in the brain including in regions such as the amygdala, hippocampus, striatum, dorsolateral prefrontal cortex (DLPFC), medial prefrontal cortex (MPFC), and anterior cingulate cortex (ACC) [34]. The same group examined inflammation in 19 antipsychotic free individuals with FEP (14 of whom were antipsychotic naive) using [18F]FEPPA [35]. They observed no relationships between DUP or duration of illness (DUI) and inflammation in whole brain, hippocampus, DLPFC, temporal lobe, total gray matter, or MPFC.
NIRS
We found three studies that have examined relationships between neurobiology and DUP using NIRS (Table 1). In one study of 73 patients with chronic schizophrenia, Nishimura et al. observed no relationship between DUP and activation in the prefrontal cortex during a verbal fluency task in any early growth response 3 genotype group [36]. In a similar study of 62 patients with schizophrenia within the first 10 years of their illness, nearly all of whom were being treated with antipsychotic medications, investigators observed that DUP was negatively associated with activity in left inferior frontal gyrus, left middle frontal gyrus, left postcentral gyrus, right precentral gyrus, bilateral superior temporal gyrus, and bilateral middle temporal gyrus in the group of patients who had been treated for more than 6 months [37]. There were no relationships between DUP and cortical activity in the short duration of treatment (≤6 months) group. Similar methods were used in a study of NIRS in 28 patients with first-episode schizophrenia, all of whom were receiving antipsychotic medications [38]. The authors observed no relationship between DUP and frontotemporal activity during verbal fluency tests.
MRS
Several studies have used MRS to examine metabolites in the brains of individuals with psychotic disorders and assess their relationship with DUP (Table 1). Bryll et al. reported an inverse relationship between DUP and glucose in the right frontal lobe and a positive relationship between DUP and choline (Cho) in the anterior cingulate of 40 antipsychotic free individuals with schizophrenia who were also experiencing acute decompensation [39]. Another group recently examined DUP using glutamate MRS in 59 antipsychotic naive patients with FEP [40]. They found that those patients with longer DUP (>12 months) had higher glutamate and glutamine (Glx) levels in the hippocampus (left) than did those with short DUP (<12 months). In 19 patients with schizophrenia, nearly all of whom were being treated with antipsychotic medications, Shirayama et al. reported that DUP was positively related to the N-acetyl-l-aspartate (NAA)/glycerophosphorylcholine plus phosphorylcholine (GPC+PC) ratio and negatively related to the (GPC+PC)/creatine plus phosphocreatine (Cr+PCr) ratio in the MPFC [41]. Galinska et al. examined 30 patients with schizophrenia, nearly all of whom were being treated with antipsychotic medications, and found no relationship between DUP and NAA, Glx, Cho or mI in left frontal lobe, left thalamus, or left temporal lobe [42]. Another study of 19 patients with the first-episode, antipsychotic naive schizophrenia examined NAA and choline in left ACC and left thalamus using a 4 Tesla MR scanner [43]. They found that DUP was positively correlated with choline, but not NAA, in left anterior cingulate and left thalamus. Finally, in a 31-phosphorus MRS study of 12 antipsychotic naive patients with schizophrenia, Jayakumar et al. observed no relationships between DUP and 31P metabolites [44].
EEG
In one EEG study, Manchanda et al. did not find differences in DUP between individuals with and without EEG abnormalities in a group of 122 patients with FEP, the majority of whom were not taking antipsychotic medications [45] (Table 1). Similar findings were reported by the same group apparently overlapping samples of 117 patients with FEP [46] and 103 patients with FEP [47]. Another group examined 18 antipsychotic naive patients with first-episode schizophrenia [48]. They found that neither P300 amplitude nor latency differed between patient groups with short (<2 years) or long (≥2 years) DUP.
Functional MRI studies
We reviewed a total of nine functional MRI studies including seven resting-state functional MRI (rsfMRI) and two task-based fMRI studies (Table 2). With respect to rsfMRI, Sarpal et al. studied 83 individuals with FEP (37% treatment naive) and found an inverse correlation between DUP and functional connectivity between striatum and several cortical regions including the supramarginal gyrus, middle frontal gyrus, and cingulate gyrus [49]. They also identified a positive relationship between increasing DUP and functional connectivity between the ventral striatum/nucleus accumbens and the subcallosal cortex/orbitofrontal cortex, and medial frontal pole [49]. Although they found no effect of medication status on the length of DUP or connectivity measures, they found that DUP played a mediating role in treatment response through corticostrial connectivity abnormalities [49]. Two additional studies identified abnormalities in connectivity using rsfMRI including a negative correlation with DUP and functional connectivity in the default mode, salience, and central executive networks [50] and select sensory-motor subnetworks [51], though 31% of participants tested positive for cannabis in the former study. In contrast, the remaining rsfMRI studies found no relationship between DUP and alterations of network homogeneity of the default mode network [52], homotopic connectivity across a variety of brain regions [53], gray matter-white matter functional synchrony [54], and amplitude of low-frequency fluctuations across various brain regions and the default mode network [54, 55]. The two task-based fMRI studies we reviewed found no relationship between DUP and differential activation of the DLPFC [56, 57], though one of the studies noted decreased frontostriatal connectivity with the maintenance of increasing working memory load [57].
Table 2.
DTI and fMRI studies of DUP.
| Author | Year | n | Dx | Clinical severity and/or phase of illness | Mean age (SD) years | % Male | AP N/F/M | AP Tx length | Mean DUP/DUI (SD) months | Imaging measure | Magnet strength | Result |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Collinson | 2014 | 113 | SCZ | 65 first-episode SCZ; 48 chronic SCZ; all in a state psychiatric hospital; minimal symptoms based on the PANSS | 29.3 (7.0) in the first-episode group; 37.0 (9.0) in the chronic group | 74 | 0/0/113 | NR | 18.6 (25.1) first-episode group; 14.2 (14.6) in the chronic group | DTI | 3T | No relationship between DUP and corpus callosum volume or fractional anisotropy measures in corpus callosum |
| Filippi | 2014 | 43 | SCZ | First-contact SCZ; moderately to severely symptomatic based on the PANSS | 29.3 (7.4) | 56 | 43/0/0 | NA | 7.9 (9.7) | DTI | 1.5T | Negative relationship between DUP and MD values of the cerebral peduncles, pons and medulla oblongata, middle cingulum, parahippocampal tracts and inferior longitudinal fasciculi bilaterally, and right posterior limb of the internal capsule, right thalamic radiations, right inferior fronto-occipital, and right uncinate fasciculi as well as a positive relationship between DUP and FA values of the posterior limb of the internal capsule, superior longitudinal and inferior fronto-occipital fasciculi bilaterally, and the right uncinate fasciculi |
| Guo | 2012 | 20 | SCZ | First-episode paranoid SCZ; mildly to moderately symptomatic based on the PANSS | 24.0 (4.9) | 45 | 20/0/0 | NA | 6.6 (3.1) | DTI | 1.5T | No relationship between DUP and FA in right superior longitudinal fasciculus II, the right fornix, the right internal capsule, and the right external capsule |
| Kraguljac | 2020 | 66 | FEP | FEP; inpatients, outpatients, emergency rooms; moderately symptomatic based on the BPRS | 23.8 (6.2) | 65 | 55/NR/NR | <5 days | 20.6 (38.9) | DWI | 3T | DUP was negatively correlated with whole-brain fractional anisotropy and axial diffusivity compared to controls. No relationship between DUP and mean and radial diffusivity |
| Lee | 2018 | 95 | FEP | FEP; moderately symptomatic based on the SANS and SAPS | 33.5 (11.9) | 33 | NR | 8.2 (9.4) days | 3.3 (5.0) | DTI | NR | Fractional anisotropy values of left tapetum (part of splenium of corpus callosum) were significantly inversely correlated with DUP |
| Liu | 2013 | 17 | SCZ | Chronic SCZ | 38.5 (3.9) | 41 | 17/0/0 | NA | 184.9 (76.0) | DTI | 3T | No relationships between DUP and FA in left inferior longitudinal fasciculus (ILF) and left inferior fronto-occipital fasciculus (IFOF) |
| Liu | 2021 | 153 | SCZ | SCZ; inpatients or outpatients; moderately symptomatic based on the PANSS | 27.1 (11.4) | 48 | 153/0/0 | NA | 41.2 (88.4) | DTI, rsfMRI | 3T | No significant associations between DUP and amplitude of low-frequency fluctuations, gray matter-white matter functional synchrony, and fractional anisotropy |
| Luck | 2010 | 32 | SCZ | First-episode SCZ; mildly to moderately symptomatic based on the PANSS | 23.6 (0.7) | 69 | NR/NR/27 | 157.3 (22.0) days | 2.4 (1.1) | DTI | 1.5T | No relationships between DUP and FA in left or right fornix |
| Luck | 2011 | 44 | FEP | FEP | 23.3 (0.5) | 70 | NR/NR/36 | NR | 3.5 (1.5) | DTI | 1.5T | No relationships between DUP and uncinate or superior longitudinal fasciculi |
| Mandl | 2013 | 16 | FEP | First episode; mildly symptomatic based on the PANSS | 23.4 (3.5) | 81 | 16/0/0 | NA | 22.2 (35.6) | DTI | 1.5T | There was a positive relationship between a combination of fractional anisotropy, mean diffusivity, and magnetization transfer ratio in the genu of the corpus callosum |
| Zeng | 2021 | 56 | SCZ | First-episode SCZ; moderately symptomatic based on the PANSS | 24.2 (7.7) good outcome patients; 24.4 (10.0) bad outcome patients | 45 | 56/0/0 | NA | 1.75 (1, 12; IQR) good outcome patients; 6 (1, 23; IQR) bad outcome patients | DTI | 3T | No relationship between DUP and fractional anisotropy and DUP did not aid in separate good versus poor outcome patients |
| Guo | 2014b | 49 | SCZ | Inpatients with first-episode paranoid SCZ; moderately symptomatic based on the PANSS | 22.7 (4.6) | 61 | 49/0/0 | NA | 22.5 (6.7) | rsfMRI | 3T | No relationship between DUP and alterations of the network homogeneity of the default mode network |
| Guo | 2014a | 49 | SCZ | Inpatients with first-episode paranoid SCZ; moderately symptomatic based on the PANSS | 22.7 (4.6) | 61 | 49/0/0 | NA | 22.5 (6.7) | rsfMRI | 3T | No relationship between DUP and voxel-mirrored homotopic connectivity in the precuneus, the precentral gyrus, the superior temporal gyrus, the middle occipital gyrus, and the fusiform gyrus/cerebellum lobule VI |
| Manivannan | 2019 | 37 | SCZ, SAD, SPD, PNOS | FEP; mildly symptomatic based on the BPRS | 22.2 (5.1) | 70 | 11/0/26 | <2 months | 34.7 | fMRI | 3T | No relationship between DUP and visuospatial working memory performance or activation in the dorsolateral prefrontal cortex (DLPFC), DUP was associated with decreased frontostriatal functional connectivity in a cluster of voxels within the DLPFC |
| Maximo | 2020 | 55 | FEP | FEP; inpatient and outpatient and emergency room; mildly symptomatic based on the BPRS | 24.2 (6.3) | 62 | 24/31/0 | <5 days | 19.7 (39.4) | rsfMRI and morphometry | 3T | DUP was negatively correlated with functional connectivity in the default mode network (DFM), salience network (SN), and central executive network (CEN), and surface area in the SN and CEN. DUP was positively correlated with cortical thickness in the DMN and SN. |
| Niendam | 2018 | 87 | SCZ, SAD, or SPD | SCZ, SAD, SPD | 19.6 (3.0) | 84 | NR/NR/61 | NR | 4.9 (4.5) | fMRI | 1.5T | No relationship between DUP and performance or activation in DLPFC |
| Ren | 2013 | 100 | SCZ | First episode; moderately to severely symptomatic based on the PANSS | 24.3 (7.5) | 41 | 100/0/0 | NA | 6.3 (11.0) | Volumetry and rsfMRI | 3T | No differences in volumetry or rsfMRI between groups with short (<1 year) or long (>1 year) DUP |
| Sarpal | 2017 | 83 | SCZ, SPD, SAD, PNOS | Mildly to moderately symptomatic based on the BPRS | 21.9 (6.0) RD group 21.2 (3.7) NRD group |
73 | 31/NR/NR | 15 (59) days | 23.8 (18.0) | rsfMRI | 3T | Lower functional connectivity was associated with greater DUP between striatum and cortex that overlapped in several regions, including the supramarginal gyrus, middle frontal gyrus, and cingulate gyrus. Positive relationship between increasing DUP and functional connectivity between the ventral striatum/nucleus accumbens and the subcallosal cortex/orbitofrontal cortex, and medial frontal pole |
| Zhang | 2019 | 60 | SCZ | First-episode SCZ; mildly to moderately symptomatic based on the BPRS | 25.6 (7.0) | 40 | 60/0/0 | NA | 8.0 (8.8) | rsfMRI | 3T | DUP was associated with decreased functional network connectivity in select sensory-motor subnetworks (left/right upper limb—trunk), but not others (auditory—head/face) |
Dx diagnosis, Tx treatment, AP N/F/M antipsychotic naive/free/medicated, FEP first episode of psychosis, SCZ schizophrenia, SAD schizoaffective disorder, SPD schizophreniform disorder, PNOS psychosis NOS, SDUP short duration of untreated psychosis, LDUP long duration of untreated psychosis, DUP duration of untreated psychosis, CT computed tomography, MRI magnetic resonance imaging, fMRI functional magnetic resonance imaging, rsfMRI resting-state functional magnetic resonance imaging, NIRS near-infrared spectroscopy, MRS magnetic resonance spectroscopy, STEAM stimulated echo acquisition mode, PRESS point-resolved spectroscopy, DTIL diffusion tensor imaging, FA fractional anisotropy, EEG electroencephalogram, PET positron emission tomography, T Tesla, NA not applicable, NR not reported, RD responder, NRD non-responder, BPRS Brief Psychiatric Rating Scale, PANSS Positive and Negative Syndrome Scale.
Diffusion tensor/weighted imaging MRI studies
We reviewed eleven studies that used diffusion tensor imaging (DTI) or diffusion-weighted imaging (DWI) to evaluate white matter integrity and its relation to DUP (Table 2). Although four of the eleven studies identified a significant relationship between fractional anisotropy (FA) and DUP, there was little overlap with respect to the brain regions identified. For example, Kraguljac et al. conducted DWI for 66 antipsychotic naive individuals with FEP (both nonaffective and affective) and found that DUP was negatively correlated with whole-brain FA [58]. They also found that there was a mediation effect for FA on treatment outcomes during a 16-week trial of risperidone, suggesting that DUP can affect treatment outcomes by affecting white matter integrity [58]. While these results are intriguing, the lack of replication of the relationship between whole-brain FA and DUP suggests that they must be interpreted with caution. Other studies identified relationships between FA in the genu of the corpus callosum [59] and the left tapetum [60], but not whole-brain FA. Notably, of the studies with significant findings, the relationship between FA and DUP was inversely correlated in two studies and positively correlated in the other two [59, 61].
In contrast, seven DTI/DWI studies identified no relationship between FA and DUP [54, 62–67] including the largest of the DTI/DWI studies which included 153 antipsychotic naive participants with schizophrenia [54]. The absence of a statistically significant relationship between FA and DUP in the majority of studies (including those with the largest sample size) and the lack of a clear direction of effect or convergent brain region suggests that positive findings in the literature between FA and DUP should be interpreted with caution. Several studies examined mean diffusivity (MD) and its relationship with DUP though the results were inconclusive. Mandl et al. found an increase in MD in the genu with increasing DUP [59] while Filippi et al. found decreased MD with longer DUP across a variety of brain regions [61]. Given the opposite direction of effect and a lack of relationship between MD and DUP found in the largest study done by Kraguljac et al. [58], the relationship between MD and DUP remains unclear.
Structural imaging studies and DUP
We reviewed 49 MRI and 2 CT studies that examined structural measures including volume and thickness across a variety of brain regions and their relationship to DUP (Table 3). There was significant heterogeneity in study design among the studies reviewed. Some studies focused on one brain region while others tested for associations across many regions. We thus separated the results of these studies into whole brain, cortical, cerebellar, ventricular, subcortical, and white matter subgroups (Table 4).
Table 4.
Summary of structural imaging studies associations.
| Structure/region | Studies with significant association | Studies with no association | Percent of studies with significant association (%) |
|---|---|---|---|
| Whole-brain volume | 1 | 9 | 10 |
| Cortical thickness | 0 | 15 | 0 |
| Frontal lobe | 3 | 8 | 27.3 |
| Orbitofrontal cortex | 0 | 5 | 0 |
| Temporal lobe | 4 | 7 | 36.4 |
| Temporal pole | 0 | 1 | 0 |
| Planum temporale | 1 | 0 | 100 |
| Fusiform gyrus | 3 | 0 | 100 |
| Parietal lobe | 1 | 5 | 16.7 |
| Occipital lobe | 2 | 4 | 33.3 |
| Insular cortex | 0 | 4 | 0 |
| Ventricles | 1 | 10 | 9.1 |
| Cerebellum | 1 | 6 | 14.3 |
| Amygdala | 0 | 3 | 0 |
| Caudate | 1 | 9 | 10 |
| Hippocampus | 5 | 7 | 41.7 |
| Nucleus accumbens | 0 | 1 | 0 |
| Putamen | 0 | 5 | 0 |
| Thalamus | 1 | 4 | 20 |
| White matter volume | 0 | 11 | 0 |
| Corpus callosum | 0 | 4 | 0 |
Whole brain, cortical, cerebellar, and ventricular studies
With respect to the relationship between whole-brain volume and DUP, a study by Malla et al. including 80 individuals with FEP found that individuals with a shorter DUP (<18 weeks) had larger total brain volumes than those with a longer DUP (>18 weeks) [68]. However, nine other studies found no relationship between whole-brain volume and DUP [69–77]. Moreover, none of the 15 studies that tested for an association between total cortical thickness and DUP identified a significant relationship [68–71, 73–75, 77–84]. These results suggest that DUP is unlikely to contribute substantially to whole-brain volume loss or cortical thinning.
Studies of the four main cortical lobes were more likely to identify significant associations, though the results remain mixed with inconsistent findings at the subregional level. Several studies examining the effects of DUP on the frontal lobe identified a significant relationship. Guo et al. found an inverse relationship between the right superior frontal gyrus and DUP in 57 antipsychotic naive individuals with schizophrenia [85]. Malla et al. identified an inverse relationship in three frontal lobe areas including the bilateral medial frontal gyri, bilateral straight gyri, and the left subgyral region [86]. Lastly, a CT scan study by Madsen et al. identified a relationship between greater sulcal enlargement and DUP in 21 individuals with first-episode schizophrenia [87]. In contrast to these findings, five studies specifically examining the orbitofrontal cortex [55, 84, 88–90] and eight studies of the frontal cortex did not identify a relationship between these regions and DUP [70, 71, 74, 78, 84, 91–93].
Two volumetric studies of the relationship between DUP and the temporal lobe found generalized gray matter reductions [82, 94] while two others found an inverse relationship between DUP and the superior temporal gyrus [31, 85]. A single study examining the effects of DUP on the planum temporale also identified an inverse relationship [93]. However, seven studies of the temporal lobe found no relationship between temporal lobe volumes and DUP [71, 73, 74, 78, 81, 84, 91]. Four studies specifically examining the insular cortex found no relationship with DUP [55, 95–97]. Interestingly, all three studies that specifically examined the fusiform gyrus identified a significant inverse relationship between volumetric measures of the left fusiform gyrus and DUP [82, 85, 98]. Studies of the occipital lobe were also mixed with one finding an association between DUP and left occipital lobe volume [82] and another identifying an inverse relationship between the lingual gyrus and DUP [98], but four studies found no relationship [71, 74, 78, 84]. Only one study [86] identified an association between parietal lobe structural measures and DUP while five found no association [55, 71, 74, 78, 84]. One study focused on the cerebellum [98] detected an inverse association between the declive of the cerebellar vermis and DUP while six other studies of the cerebellum found no relationship [31, 69, 70, 74, 80, 99]. Lastly, ten studies that examined the relationship between ventricular size and DUP found no relationship between the two [69–74, 77, 80, 81, 100].
Subcortical regions and white matter studies
There were no significant associations between DUP and several subcortical regions including the amygdala [77, 80, 101], putamen [71, 72, 80, 102, 103], and nucleus accumbens [102]. Although there was one study by Crespo-Facorro et al. of 76 individuals in their first episode of psychosis that identified an inverse relationship between DUP and caudate size [30], there were nine studies that did not find a similar relationship [44, 70–72, 80, 102–105]. Another study by the same group [106] identified an inverse association between the thalamic volume and DUP, this was only significant in the regression analysis and not in the correlational analysis. Moreover, four other studies of the thalamus, including two by the same group of researchers, did not identify a significant relationship between the thalamus and DUP [30, 55, 70, 71]. Studies of the hippocampus were more mixed in their findings. Two studies [85, 98] identified an inverse relationship between DUP and the right parahippocampal gyrus and an additional two studies identified an inverse relationship between DUP and the left [40] and right hippocampus [83], respectively. A study by Goff et al. did not identify a relationship between DUP and left or right hippocampal volumetric integrity at baseline, but did observe a left-sided annualized reduction in hippocampal volumetric integrity correlated with DUP in the 8-week follow-up scan [107]. Seven other studies examining the relationship between DUP and the hippocampus found no association [70, 72, 76, 77, 80, 108, 109]. Lastly, structural imaging studies of white matter and its relation to DUP have been unrevealing to date. Four studies of the corpus callosum [62, 110–112] and eleven studies of generalized white matter volume revealed no association with DUP [69–71, 74, 75, 80, 82, 83, 86, 113, 114].
DISCUSSION
In this manuscript, we built upon previous work examining imaging correlates of DUP [32] by reviewing 83 studies of neurobiologic correlates of DUP including structural and functional imaging, EEG, and neurobiochemical measures. Overall, 27 out of the total 83 studies (32.5%) reported a significant association with DUP. Here, we review what the field can learn from these studies and provide recommendations for future studies of the neurobiological basis of DUP.
Overall, studies were of medium quality with an average total quality score of 5.08 out of 10 (Table 5). Potential sources of bias were the lack of reporting of non-participation rates (0% of studies fully met these criteria), lack of adjustment for potential confounds (15.6% of studies), and lack of clear definitions and details of ascertainment for both participant’s primary diagnosis (18.1% of studies) and DUP/DUI (24.1% of studies). The most notable limitation of the studies we reviewed was their sample size (mean = 58.8, median = 51). Recent research has shown that the effect size of imaging differences in psychological traits tends to be small and that brain-wide behavioral phenotypic associations become more reliable around 2000 participants [115]. Moreover, smaller studies (n < 200) may suffer from the “underpowered correlation paradox” [115] wherein small studies are only powered to detect the largest effects/correlations, which are often spurious due to sampling variability. This problem becomes exacerbated by publication bias which then leads to improper power calculations for future studies based on inflated effect sizes [115]. While we appreciate that the cost to conduct such large-scale studies for any individual group is prohibitive, we advocate for the approach taken by large-scale consortia such as the Enhancing Neuro Imaging Genetics through Meta-Analysis consortium [116] and the Adolescent Brain Cognitive Development study [117]. Indeed, through these efforts, we are beginning to identify robust statistical associations in schizophrenia [118] that point toward high confidence brain differences in schizophrenia for further study.
Table 5.
Assessment of study quality and risk of bias.
| Author | Year | Sample size | Nonparticipation rate | Clinical definitions, ascertainment, and reporting of primary diagnosis | Clinical definitions, ascertainment, and reporting of DUP/DUI | Adjustment for confounding and/or bias | Methodology and reporting of neurobiological data | Total quality score |
|---|---|---|---|---|---|---|---|---|
| Bangalore | 2009 | 82 | − | + | + | + | + | 8 |
| Behere | 2009 | 14 | − | * | − | − | + | 3 |
| Boonstra | 2011 | 57 | − | * | + | * | + | 6 |
| Briend | 2020 | 54 | * | * | + | + | + | 8 |
| Bryll | 2020 | 40 | − | * | * | − | + | 4 |
| Cahn | 2002 | 20 | − | * | + | * | + | 6 |
| Chou | 2014 | 62 | − | + | + | + | + | 8 |
| Chou | 2015 | 28 | − | + | + | − | + | 7 |
| Collinson | 2014 | 113 | − | + | * | − | + | 5 |
| Crespo-Facorro | 2007b | 61 | * | + | + | * | + | 8 |
| Crespo-Facorro | 2007a | 76 | * | + | + | * | + | 8 |
| Crespo-Facorro | 2009 | 142 | * | + | + | + | + | 9 |
| Crespo-Facorro | 2010 | 142 | * | + | + | − | + | 7 |
| Crespo-Facorro | 2011 | 142 | * | + | + | * | + | 8 |
| Duggal | 2005 | 30 | − | * | * | − | + | 4 |
| Ebdrup | 2010 | 38 | − | * | * | − | + | 4 |
| Emsley | 2017 | 23 | * | * | * | + | 5 | |
| Fannon | 2000 | 37 | − | * | * | − | + | 4 |
| Filippi | 2014 | 43 | − | * | + | − | * | 4 |
| Galinska | 2009 | 30 | − | * | + | − | + | 5 |
| Goff | 2018 | 57 | * | + | + | * | + | 8 |
| Gunduz | 2002 | 51 | − | * | * | − | + | 4 |
| Guo | 2012 | 20 | − | * | * | − | * | 3 |
| Guo | 2013 | 57 | * | * | + | + | + | 8 |
| Guo | 2014b | 49 | − | * | * | − | * | 3 |
| Guo | 2014a | 49 | − | * | * | − | * | 3 |
| Gutierrez-Galve | 2010 | 37 | * | * | * | * | * | 5 |
| Hafizi | 2017 | 19 | * | * | * | * | + | 6 |
| Haukvik | 2016 | 79 | * | * | * | − | * | 4 |
| Hietala | 2003 | 14 | − | * | − | * | * | 3 |
| Ho | 2003 | 102 | * | * | * | + | * | 6 |
| Ho | 2005 | 105 | − | * | * | + | * | 5 |
| Hoff | 2000 | 50 | − | * | + | − | + | 5 |
| Ichimiya | 2001 | 20 | − | * | * | − | + | 4 |
| Jayakumar | 2005 | 18 | − | * | * | − | + | 4 |
| Jayakumar | 2006 | 12 | − | * | + | − | + | 5 |
| John | 2008 | 23 | − | + | * | * | + | 6 |
| Joyal | 2003 | 18 | − | * | * | − | + | 4 |
| Keshavan | 1998a | 25 | − | * | + | + | + | 7 |
| Keshavan | 1998b | 25 | − | * | + | * | + | 6 |
| Keshavan | 2002 | 31 | − | * | + | − | + | 5 |
| Kraguljac | 2020 | 66 | * | * | * | * | + | 6 |
| Lappin | 2006 | 81 | * | * | * | * | + | 6 |
| Lee | 2018 | 95 | − | * | * | − | * | 3 |
| Liu | 2013 | 17 | − | * | * | * | * | 4 |
| Liu | 2021 | 153 | − | * | * | + | + | 6 |
| Luck | 2010 | 32 | − | * | * | − | + | 4 |
| Luck | 2011 | 44 | − | * | * | − | + | 4 |
| Madsen | 1999 | 21 | − | * | * | − | * | 3 |
| Malla | 2002 | 114 | − | * | * | − | * | 3 |
| Malla | 2011 | 80 | * | * | * | * | * | 5 |
| Manchanda | 2005 | 122 | − | − | * | − | * | 2 |
| Manchanda | 2008 | 117 | * | − | * | * | * | 5 |
| Manchanda | 2014 | 103 | * | − | − | − | * | 2 |
| Mandl | 2013 | 16 | * | + | * | * | + | 7 |
| Manivannan | 2019 | 37 | − | + | * | * | + | 6 |
| Maximo | 2020 | 55 | * | + | * | + | + | 8 |
| Niendam | 2018 | 87 | − | * | * | * | + | 5 |
| Nishimura | 2014 | 73 | − | * | − | − | + | 3 |
| Penttila | 2010 | 61 | * | − | * | − | * | 3 |
| Rapp | 2017 | 23 | − | + | * | * | + | 6 |
| Ren | 2013 | 100 | * | * | * | + | * | 6 |
| Roiz-Santianez | 2010b | 118 | * | * | * | * | + | 6 |
| Roiz-Santianez | 2010a | 80 | * | * | * | − | * | 4 |
| Roiz-Santianez | 2011 | 141 | * | * | * | * | + | 6 |
| Sarpal | 2017 | 83 | − | * | * | * | + | 5 |
| Shirayama | 2010 | 19 | − | * | * | − | + | 4 |
| Smith | 2012 | 58 | * | * | * | * | + | 6 |
| Takahashi | 2007 | 38 | * | * | * | + | + | 7 |
| Takayanagi | 2010 | 42 | − | * | * | * | + | 5 |
| Tauscher-Wisniewski | 2005 | 37 | − | * | * | * | + | 5 |
| Theberge | 2004 | 19 | − | * | * | * | * | 4 |
| Venkatasubramanian | 2003 | 15 | − | * | * | − | + | 4 |
| Venkatasubramanian | 2008 | 51 | − | * | * | * | + | 5 |
| Venkatasubramanian | 2010 | 66 | − | * | * | − | + | 4 |
| Wang | 2005 | 18 | − | * | * | − | + | 4 |
| Watts | 2020 | 27 | − | * | * | + | + | 6 |
| Whitworth | 1998 | 41 | − | * | * | − | * | 3 |
| Xiao | 2015 | 128 | − | * | * | − | + | 4 |
| Yao | 2014 | 64 | − | * | * | − | + | 4 |
| Zanetti | 2008 | 129 | * | * | * | − | + | 5 |
| Zeng | 2021 | 56 | − | * | * | − | + | 4 |
| Zhang | 2019 | 60 | − | * | * | * | + | 5 |
− Criteria not met
Criteria partially met
+ Criteria met; 0 points for −; 1 point for *; 2 points for +.
The variety of participant diagnoses, medication and substance use status, study designs, imaging techniques, and statistical approaches allowed us to consider numerous variables while synthesizing the results. With respect to participant diagnosis, studies ranged from using broadly defined first episode of psychosis including affective psychosis to schizophrenia. Some studies included participants with co-occurring substance use disorders including alcohol and cannabis use disorders, both of which have inconsistently been shown to affect brain structure and function [119, 120], and many others did not. In addition, studies examined both medicated and unmedicated participants, and often included the duration of treatment in their analyses. This is an important variable to consider given that antipsychotic medications have been correlated with cortical thinning [121, 122] and the fact that those with shorter DUPs had more time on medication. The studies included in this review spanned a wide range of DUP, with some studies having a mean DUP as short as 1.4 months [87] and some nearly 4 years [44]. Relatedly, while some structural and functional studies examined one or several regions, others were brain-wide association studies looking at dozens of regions.
We will highlight several potential takeaways and areas of interest for future investigation in well-powered studies. First, while there is clear clinical evidence that a longer DUP is associated with worse functional outcomes [4, 5], the data reviewed do not suggest that there is a large effect of DUP on brain-wide cortical thickness or white matter volume as all fifteen studies of total cortical thickness and eleven studies of white matter volume were negative. Similar conclusions can likely be drawn for whole-brain volume and ventricular volume where only one study out of ten and eleven total studies were positive, respectively. While regional cortical studies were mostly mixed or negative, interestingly, half the studies examining temporal regions (i.e., including planum temporale, fusiform gyrus, hippocampus) and all three studies of fusiform gyrus found a significant association, highlighting a region for potential future study with larger samples. The functional and molecular imaging studies reviewed were generally equivocal to negative.
There were several limitations of the studies included in this review. As many studies likely did not predefine their regions of interest before conducting their research, significant results may have been identified through post-hoc analyses which are subject to increased type I error [123]. In addition, the majority of studies did not account for multiple comparisons, and those that reported significant findings noted that the results would not remain significant when accounting for multiple comparisons. Further, two studies in particular identified more significant associations with DUP and discrete brain regions than any other with Bangalore et al. [98] identifying eight and Malla et al. [86] identifying 14 significant associations. Notably, these two studies accounted for the majority of brain region-specific associations with DUP in a prior review [32]. Lastly, the studies reviewed differed in the equipment used, motion artifact correction, and image processing techniques, further exacerbating the issues posed by the clinical heterogeneity of the studies. Unfortunately, we were unable to address this heterogeneity either through meta-analysis or other statistical techniques to combine the data as nearly half of the studies did not report parameter estimates for their associations and few of the studies made their data publicly available. Moreover, given the significant heterogeneity of the studies, creating smaller homogenous subgroups for deeper analysis would significantly limit our statistical power.
These results provide evidence against the notion of psychosis as structurally or functionally neurotoxic on a global scale [29, 124] and suggest that specific regions of the brain, such as temporal regions, may be more vulnerable to the effects of DUP. It is also possible that current methodologies lack the resolution needed to more accurately examine the effects of DUP on the brain. For example, it has been suggested that atrophy in hippocampal circuits may be limited to neuropil [125]. Synaptic dysfunction has long been proposed as a central mechanism in the development of schizophrenia [25, 126]. Post-mortem studies have demonstrated reduced synaptic spine density in schizophrenia [127, 128]. Newer methodologies, such as MR scanners with stronger magnets, and PET imaging with newer ligands capable of measuring subcellular structures (e.g., the PET ligand [11C]UCB-J [129]), may be better able to capture these limited neuropathologic processes.
Here, we suggest additional procedural recommendations that could further ensure rigor and scientific value in future work on the neurobiologic effects of DUP. For example, the studies reviewed typically enroll any individual in their first episode of psychosis without separating individuals based on their severity or clinical course, potentially missing relevant subtypes of schizophrenia. Indeed, there is existing evidence that patients with very poor outcome psychosis can exhibit progressive changes on neuroimaging [130] and that there are clearly different trajectories in the first episode of psychosis with some patients having a stable and others a more deteriorative course of schizophrenia [131]. Future studies that aim to stratify individuals by their clinical course based on pre and post-morbid cognitive testing or illness severity may be better able to detect structural and functional brain imaging changes related to DUP. Longitudinal studies that examine neurobiology over six months or longer, and in particular those that incorporate treatment components, may help the field to better understand effects over time and in particular which patients may respond better to antipsychotic medications or other treatments. In sum, future studies of the potential effects of DUP on brain structure and function should be well powered, conducted in a systematic fashion with careful attention paid to potential confounders and methodogical issues, include longitudinal and preferably treatment components, consider stratifying participants based on their course of illness and disease severity, and incorporate newer imaging methodologies that are more sensitive to detect subtle abnormalities that may be associated with DUP.
Footnotes
COMPETING INTERESTS
Within the last 3 years, RRG has received research support from Allergan, consulted for Noble Insights, and received royalties from books published by Wipf and Stock and Routledge/Taylor and Francis. JAL has received support administered through his institution in the form of funding or medication supplies for investigator-initiated research from Lilly, Denovo, Biomarin, Novartis, Taisho, Teva, Alkermes, and Boehringer Ingelheim, and is a member of the advisory board of Intracellular Therapies and Pierre Fabre. He neither accepts nor receives any personal financial remuneration for consulting, advisory board, or research activities. He holds a patent from Repligen and receives royalty payments from SHRINKS: The Untold Story of Psychiatry. AWZ is a paid consultant for AstraZeneca. The project described was supported by K23MH121669 (AWZ) and R01MH113861 (RRG).
ADDITIONAL INFORMATION
Reprints and permission information is available at http://www.nature.com/reprints
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