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Cortical Thickness Abnormalities at Different Stages of the Illness Course in Schizophrenia

Youjin Zhao, Qian Zhang, Chandan Shah and 4 more

JAMA Psychiatry · 2022 · Meta-analysis

doi:10.1001/jamapsychiatry.2022.0799

Abstract

Question. Are there differences in cortical thickness (CTh) alterations between clinical high-risk (CHR), first episode of psychosis (FEP), and long-term illness stages of schizophrenia (SCZ)?

Findings. In meta-analyses comprising 2109 individuals across different illness stages of SCZ (10 studies of CHR, 12 studies of FEP, and 10 studies of long-term SCZ), CTh did not differ significantly between individuals with CHR and FEP, but those with long-term illness showed more pronounced CTh reductions than individuals with FEP. Accelerated age-related CTh reductions were found in frontotemporal cortex when combining all studies.

Meaning. The findings of this systematic review and meta-analysis do not indicate an emergence of CTh alterations with illness onset but suggest a progressively increasing thinning of CTh after illness onset.

Importance. Questions of whether and how cortical thickness (CTh) alterations differ over the course of schizophrenia (SCZ) have yet to be resolved.

Objective. To characterize CTh alterations across illness stages in SCZ.

Data Sources. PubMed, Embase, Web of Science, and Science Direct were screened for CTh studies published before June 15, 2021.

Study Selection. Original studies comparing whole-brain CTh alterations from healthy controls in individuals at clinical high-risk (CHR), first episode of psychosis (FEP), and long-term illness stages of SCZ were included.

Data Extraction and Synthesis. This preregistered systematic review and meta-analysis followed PRISMA reporting guidelines. Separate and pooled meta-analyses were performed using seed-based d mapping. Meta-regression analyses were conducted.

Main Outcomes and Measures. Cortical thickness differences from healthy control individuals across illness stages.

Results. Ten studies comprising 859 individuals with CHR (mean [SD] age, 21.02 [2.66] years; male, 573 [66.7%]), 12 studies including 671 individuals with FEP (mean [SD] age, 22.87 [3.99] years; male, 439 [65.4%]), and 10 studies comprising 579 individuals with long-term SCZ (mean [SD] age, 41.58 [6.95] years; male, 396 [68.4%]) were included. Compared with healthy control individuals, individuals with CHR showed cortical thinning in bilateral medial prefrontal cortex (z = −1.01; P <.001). Individuals with FEP showed cortical thinning in right lateral superior temporal cortex (z = −1.34; P <.001), right anterior cingulate cortex (z = −1.44; P <.001), and right insula (z = −1.14; P =.002). Individuals with long-term SCZ demonstrated CTh reductions in right insula (z = −3.25; P <.001), right inferior frontal cortex (z = −2.19; P <.001), and left (z = −2.37; P <.001) and right (z = −1.94; P =.002) temporal pole. There were no significant CTh differences between CHR and FEP. Individuals with long-term SCZ showed greater cortical thinning in right insula (z = −2.58; P <.001), right inferior frontal cortex (z = −2.32; P <.001), left lateral temporal cortex (z = −1.91; P =.002), and right temporal pole (z = −1.82; P =.002) than individuals with FEP. Combining all studies on SCZ, accelerated age-related CTh reductions were found in bilateral lateral middle temporal cortex and right pars orbitalis in inferior frontal cortex.

Conclusions and Relevance. The absence of significant differences between FEP and CHR noted in this systematic review and meta-analysis suggests that the onset of psychosis was not associated with robust CTh reduction. The greater cortical thinning in long-term SCZ compared with FEP with accelerated age-related reduction in CTh suggests progressive neuroanatomic alterations following illness onset. Caution in interpretation is needed because heterogeneity in samples and antipsychotic treatment may confound these results.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 24, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

Schizophrenia (SCZ) is a debilitating psychotic disorder typically beginning in late adolescence or early adulthood, often followed by recurrent episodes of psychosis and, in some cases, declining psychosocial function. The onset of illness is usually preceded by a clinical high-risk (CHR) phase characterized by attenuated psychosis symptoms, brief limited psychotic symptoms, and functional deterioration. Potential brain changes between CHR and onset of the first episode of psychosis (FEP) that might reflect neurotoxicity of acute psychosis, and between FEP and long-term illness that might reflect progressive brain abnormalities, are important issues being addressed in several SCZ research programs.

Previous neuroimaging studies have documented widespread structural brain alterations at different stages of SCZ., However, because most studies focused on only 1 specific illness stage, questions of how these alterations may differ over the illness course have yet to be fully resolved. Few longitudinal studies have been completed with currently available image analysis pipelines, and few studies have compared patients with CHR and FEP. Some cross-sectional studies of patients after illness onset have identified an accelerated rate of age-related decline in brain features compared with healthy individuals, which provides preliminary evidence for progressive anatomic changes over the illness course.,,, A systematic review and meta-analysis comparing individuals at different illness stages might characterize brain abnormalities over the illness course with robustness enhanced by combining data across the published literature.

Clinically, there are 2 broad issues of particular interest. The first is whether there are greater brain abnormalities in individuals with FEP than CHR. This issue is related to questions about whether the onset of acute psychosis itself induces brain alterations. The second issue is whether, following onset of the illness, there are increasing brain alterations that might be targets for therapeutic intervention. Addressing these issues is also important from the perspective of brain imaging biomarker development.

Recently, regional cortical thickness (CTh) measurement via surface-based morphometry has been used to evaluate brain anatomy in patients with SCZ. Cortical thickness analysis can better reflect underlying pathophysiologic mechanisms than gray matter volume analysis. Cortical thickness alterations have been identified in SCZ, but the regional distribution of detected abnormalities has not been consistent, even within studies of specific phases of illness. Individuals with CHR have demonstrated varying CTh alterations,,, with those who subsequently developed psychosis having greater abnormalities.,, Cortical thinning has been reported in patients with FEP in prefrontal, lateral temporal,, and parietal cortex, albeit with negative findings., Discrepancies might be related to small sample sizes, variable sample characteristics, medication status, and analytical methods.

Few systematic review and meta-analysis studies have examined CTh, with most considering volume measures (eTable 1 in the Supplement),, and none compared thickness across the 3 illness stages. Findings from earlier studies include a smaller parahippocampal volume in long-term SCZ than FEP. Both individuals with CHR and those with FEP have shown similar cortical thickening in bilateral occipital regions. Individuals with FEP exhibited thinner right posterior cingulate cortex than those with CHR. More widespread and pronounced CTh reductions were found in individuals with long-term SCZ than CHR and FEP. A limited number of longitudinal studies have found progressive CTh reductions in long-term SCZ, predominantly in frontotemporal regions. These findings generally parallel observations from neurophysiologic and neuropsychological studies.,

Given the clinical importance of understanding the course of illness in SCZ and the variability in findings across single studies, we conducted coordinate-based meta-analyses of published studies on CTh in individuals with CHR, FEP, and long-term SCZ, using seed-based d mapping software. We performed case-control meta-analyses in each illness phase, followed by quantitative comparisons of findings between illness stages. Our primary interest was testing for increases in abnormalities in FEP compared with CHR samples and in long-term SCZ compared with FEP samples. We tested for associations between clinical and demographic variables with anatomic alterations, using meta-regression analyses.

Search Strategy and Selection Criteria

Systematic review and meta-analysis was carried out using the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. The protocol was registered on PROSPERO (CRD42021253875). Details of the search strategy and selection criteria are provided in the eMethods in the Supplement. Two of us (Y.Z. and Q.Z.) independently conducted literature searches in PubMed, Embase, Web of Science, and Science Direct and screened the results for CTh studies published before June 15, 2021. Inconsistencies were discussed and a consensus was reached.

Meta-analysis

Meta-analyses of CTh studies were conducted using seed-based d mapping software (SDM, version 5.15, SDM Project). First, coordinates of cluster peaks and effect sizes of significant between-group differences were used to create an effect-size signed map for each study. Negative findings were included and estimated conservatively to have a null effect size. Next, a random-effects analysis was performed to obtain the mean map, combining data of each included study with both positive and negative differences in the same map.

Separate analyses were performed to identify CTh alterations at each illness stage vs healthy control individuals. We then performed a pooled meta-analysis comparing patients at different illness stages using randomization tests to identify significant differences and a regression analysis across all samples to test for correlations with demographic and clinical features. Quadratic models of age effects were used when significantly better than linear models. Details of quality assessment and data recording, seed-based d mapping method of meta-analysis, jackknife, heterogeneity, and publication bias analysis, and meta-regression analysis are presented in the eMethods in the Supplement. All tests were 2-sided and unpaired, and a statistical threshold of P <.005 was used with a cluster extent of 10 voxels for the meta-analysis.

Included Studies and Sample Characteristics

Figure 1 shows the PRISMA flowchart of the literature search and eligibility assessment. Ten studies,,,,,,,,, comprising 859 individuals with CHR (mean [SD] age, 21.02 [2.66] years; male, 573 [66.7%]; female, 286 [33.3%]) and 531 healthy control individuals (mean [SD] age, 21.67 [3.03] years; male, 300 [56.5%]; female, 231 [43.5%]), 12 studies,,,,,,,,,,, including 671 individuals with FEP (mean [SD] age, 22.87 [3.99] years; male, 439 [65.4%]; female, 232 [34.6%]) and 566 healthy control individuals (mean [SD] age, 23.39 [4.5] years; male, 349 [61.7%]; female, 217 [38.3%]), and 10 studies,,,,,,,,, comprising 579 individuals with long-term SCZ (mean [SD] age, 41.58 [6.95] years; male, 396 [68.4%]; female, 183 [31.6%]) and 475 healthy control individuals (mean [SD] age, 40.07 [7.0] years; male, 303 [63.8%]; female, 172 [36.2%]) were included in the meta-analysis. Four of 12 FEP studies included some patients with a current diagnosis of affective psychosis (proportion, 9.7%). For longitudinal studies, only baseline data were included to avoid bias toward the outcomes of the interventions or illness progression. Results of quality assessments (eResults and eTable 2 in the Supplement) and detailed characteristics of included studies (eResults and eTable 3 in the Supplement) are provided.

Meta-analysis and Regression in Each Group

Compared with healthy control individuals, individuals with CHR showed cortical thinning of 1 cluster in bilateral medial prefrontal cortex (z = −1.01; P <.001) extending to bilateral superior frontal cortex, bilateral anterior cingulate cortex, and right middle cingulate cortex (Figure 2, Table; eFigure 1 in the Supplement). No significant association of age was found in this cluster (eTable 4 in the Supplement).

Individuals with FEP showed CTh reductions in 3 clusters: right lateral superior temporal cortex (z = −1.34; P<.001), right anterior cingulate cortex (z = −1.44; P <.001), and right insula (z = −1.14; P =.002) (Figure 2, Table; eFigure 2 in the Supplement). No significant association of age or illness duration was found in any cluster (eTable 4 in the Supplement).

Individuals with long-term SCZ showed thinner cortex than healthy control individuals in 4 clusters: right insula extending to frontal operculum (z = −2.58; P <.001), right pars orbitalis of inferior frontal cortex (z = −2.32; P <.001), left lateral temporal cortex (z = −1.91; P =.002), and right temporal pole (z = −1.82; P =.002) (Figure 2, Table; eFigure 3 in the Supplement). In individuals with long-term SCZ, illness duration was associated with greater CTh reductions only in left anterior temporal cortex (R2 = 0.60; P =.003) (eFigure 4, eTable 4 in the Supplement).

Comparisons of Illness Stages

We found no significant CTh differences between the CHR and FEP groups. Individuals with long-term SCZ showed greater cortical thickness reductions in right insula, right pars orbitalis of inferior frontal cortex, left lateral temporal cortex (including superior temporal cortex and middle temporal cortex [MTC]), and right temporal pole than those with FEP (Figure 3). Similar CTh reductions were seen in individuals with long-term SCZ compared with CHR (eFigure 5, eTable 5 in the Supplement).

Pooled Meta-analysis and Regression

The combined group (all 3 illness stages) showed cortical thinning in 5 clusters, including right insula extending to frontal operculum, left anterior cingulate cortex extending to bilateral middle cingulate cortex, right pars orbitalis of inferior frontal cortex, and bilateral lateral MTC (eFigure 6 in the Supplement; Table).

Combining data sets across illness stages, reduced CTh in right pars orbitalis of inferior frontal cortex compared with healthy control individuals was correlated with older age (quadratic model: R2 = 0.28; P =.004) (Figure 4A). Cortical thickness reductions in individuals with left lateral MTC compared with healthy control individuals were correlated with greater age (linear model: R2 = 0.47; P <.001; quadratic model: R2 = 0.64; P <.001) (Figure 4B) and greater illness duration (linear model: R2 = 0.50; P <.001) (eFigure 7 in the Supplement). In the homologous right hemisphere, reduced CTh in right lateral MTC also was correlated with older age (linear model: R2 = 0.34; P <.001; quadratic model: R2 = 0.44; P <.001) (Figure 4C; eTable 6 in the Supplement). The quadratic model had a significantly lower root-mean-square error value than linear model in left lateral MTC (quadratic model: median [range], 0.12 [0.09-0.12]; linear model: median [range], 0.14 [0.12-0.14]; z = 5.37; P <.001) and right lateral MTC (quadratic model: median [range], 0.13 [0.09-0.13]; linear model: median [range], 0.14 [0.11-0.14]; z = 5.37; P <.001) (eTable 7 in the Supplement), indicating better performance of the quadratic model than the linear model in both regions. The findings for onset age or positive, negative, or general symptom ratings on CTh were not statistically significant in the combined group (eTable 6 in the Supplement).

Jackknife, Heterogeneity, and Publication Bias Analysis

Whole-brain jackknife sensitivity analysis confirmed replicability and reliability of the findings (eResults 3, eTables 8-11 in the Supplement). Cortical thickness reductions in right insula showed high heterogeneity (I2 = 82.50%) in FEP groups and moderate heterogeneity (I2 = 45.00%) in the combined group, raising questions about the validity of findings in this region, so they were not considered further. The remaining regions with altered CTh showed low heterogeneity (I2 <15.00%) between studies (eResults in the Supplement). The Egger test of funnel plot asymmetry was not statistically significant when testing for publication bias (eResults, eFigures 8-11 in the Supplement).

Discussion

Coordinate-based meta-analyses of CTh abnormalities across illness stages in SCZ identified robust CTh reductions in individuals with CHR, FEP, and long-term SCZ. There were no significant CTh differences between those with CHR and FEP. In contrast, alterations in CTh of individuals with long-term SCZ were more pronounced than seen in FEP studies in right inferior frontal cortex, left lateral temporal cortex (including superior temporal cortex and MTC), and right temporal pole. When combining studies regardless of illness stage, we observed accelerated age-related reductions of CTh in bilateral lateral MTC and right pars orbitalis compared with healthy control individuals. These findings did not demonstrate a robust reduction of CTh at illness onset but suggest a progressive age-related reduction in CTh later in the illness course.

CTh Alterations at CHR and FEP

Individuals with CHR showed cortical thinning in bilateral medial prefrontal cortex, which plays an important role in cognitive functioning, emotion regulation, and motivation. Previous functional evidence suggested that hypoactivation of medial prefrontal cortex is related to anhedonia and poor episodic and working memory in SCZ, which are cognitive impairments already evident in individuals with CHR., Our findings were consistent with an earlier systematic review and meta-analysis that identified reduced medial prefrontal cortex volume in individuals with CHR. Moreover, greater gray matter loss in medial prefrontal cortex has been found in individuals with CHR who subsequently developed psychosis. Thus, our findings and previous volumetric studies converge in suggesting that anatomic alterations in medial prefrontal cortex precede the illness onset and thus may provide a marker of vulnerability to psychosis in individuals with CHR.,

Individuals with FEP demonstrated CTh reductions in right lateral superior temporal cortex and right anterior cingulate cortex relative to healthy control individuals. The superior temporal cortex contains primary and secondary auditory cortices and supports language comprehension. Decreased CTh, reduced gray matter volume, hypoactivation of superior temporal cortex, and reduced functional connectivity between superior temporal cortex and parietal areas have been associated with auditory verbal hallucinations, disordered thinking, and impaired speech recognition in SCZ. The anterior cingulate cortex is a major hub of the salience network engaged in cognitive, homeostatic, motivational, and affective functions. Gray matter loss and cortical thinning in this region have been linked to auditory hallucinations in FEP.

In no brain region did the severity of CTh alterations differ significantly between individuals with CHR and FEP. This lack of difference was seen when all individuals with CHR were considered—not just those who went on to manifest psychosis. This finding suggests that the CTh alterations seen in both groups for the most part reflect either a predisposing or neurodevelopmental feature already present by the time of prodrome manifestations. Furthermore, the lack of greater deficits in the FEP than CHR studies suggests that the onset of acute psychosis itself does not have robust neurotoxic outcomes associated with CTh.

CTh Reduction Associated With Long-term SCZ

Individuals with long-term SCZ exhibited cortical thinning in right inferior frontal cortex and bilateral temporal pole relative to healthy control individuals, in accordance with previous reports showing gray matter loss in these regions in individuals with long-term SCZ. The inferior frontal cortex is critical for affect modulation and empathy, which is impaired in SCZ. The temporal pole is part of the extended paralimbic system involved in emotion processing and interoceptive awareness. Gray matter volume reductions in paralimbic regions (including orbitofrontal cortex and temporal pole) have been related previously to cognitive and affective dysfunctions and clinical symptom severity in long-term SCZ.

Individuals with long-term SCZ showed more pronounced CTh reductions in left lateral temporal cortex, right temporal pole, and right inferior frontal cortex than were seen in FEP studies considered relative to their own age-matched controls. These group differences suggest a progressive change in brain anatomy in SCZ relative to healthy control individuals over the years after illness onset. Such findings are of potential clinical importance, as greater gray matter volume and CTh reductions in frontotemporal regions have been associated with deteriorated cognitive deficits and poorer clinical outcomes that are a common and primary source of disability in this illness.

Consistent with the possibility that differences between individuals with FEP and those with long-term SCZ may reflect aspects of disease progression, when pooling all included studies regardless of illness stage, we found accelerated age-related CTh reductions in bilateral lateral MTC and right pars orbitalis of inferior frontal cortex. These observations support the general idea of neuroprogression, but one localized to frontotemporal regions. Although the source of these progressive changes needs to be determined, because they may be directly related to illness pathophysiologic changes or be secondary to antipsychotic treatment effects or other environmental factors, the changes may themselves reflect a target for treatment development to reduce the longer-term morbidity associated with the disorder. The accelerated age-related CTh loss in frontotemporal cortex was often better modeled with a quadratic than linear model, suggesting accelerating progressive alterations in this region. Cortical thickness reductions of bilateral lateral MTC and right inferior frontal cortex appeared to accelerate in midlife, starting in the 40s, in accordance with previous volumetric studies showing steeper age-related gray matter volume loss in the frontotemporal regions.

Limitations

This study has limitations. First, although our meta-analytic approach provides the opportunity to combine cross-sectional studies across the literature to evaluate a potential regional pattern of progressive atrophic changes, longitudinal studies for confirmation may be warranted. Second, at first presentation of acute psychosis, differential diagnosis of affective and nonaffective disorders is challenging. Four of 12 FEP studies included patients with a current diagnosis of affective psychosis (with a proportion no more than 10%) (eTable 12 in the Supplement). This overlap in illness risk may also be relevant for CHR samples but could affect comparisons of FEP and long-term illness studies. Third, we were unable to explore medication therapy because precise information about dosage was not always available. Antipsychotic medications may contribute to the group differences and age outcomes in the long-term SCZ group. Fourth, the neuropathologic mechanism of cortical thinning has yet to be elucidated. Postmortem studies are needed to clarify the neural alterations leading to the findings observed in MRI studies. Such information could guide development of novel interventions to reduce these midlife brain changes in patients with SCZ. Fifth, our analyses focused on the thickness of cortical gray matter. Other anatomic features of neocortex merit attention in future studies, as does subcortical gray matter. Sixth, there is considerable heterogeneity in individuals meeting criteria for CHR that is yet to be resolved. Some will develop psychosis but most will not, and some will develop illnesses other than SCZ. Identifying discrete heterogeneity in individuals with CHR in association with brain features and clinical outcomes may ultimately lead to a better understanding of the similarities and differences of subgroups of patients with CHR compared with those who have FEP. We seem to be a few years from that point, as developing large samples and monitoring them longitudinally is an extensive effort, but examining discrete heterogeneity will greatly contribute to understanding of the CHR group. Seventh, despite documentation of limited interstudy heterogeneity in all regions but the insula, a small number of studies might influence regional study findings in our systematic review and meta-analysis. The variability across studies, although considered and evaluated statistically, raises caution in interpreting our systematic review and meta-analysis findings. This possibility will need to be evaluated as more published studies become available.

Conclusions

The findings of this coordinate-based systematic review and meta-analysis identified CTh reductions in individuals with CHR that did not differ significantly from those observed in FEP studies. In addition, we observed CTh reductions in individuals with long-term SCZ compared with FEP that increased with age in frontotemporal regions and may reflect a neuroprogressive process. The lack of significant differences between individuals with CHR and FEP does not provide evidence indicating that first manifestation of acute psychosis is associated with robust CTh reductions. Together, these findings support understanding of the neural substrates of SCZ manifested at specific stages of illness and expand characterization of increasing illness-related neuroanatomic alterations over the illness course.

References 76

  1. 1.

    Haas GL, Sweeney JA. Premorbid and onset features of first-episode schizophrenia. Schizophr Bull. 1992;18(3):373-386

    Not in our library10.1093/schbul/18.3.373

  2. 2.

    Fusar-Poli P. Prodromal psychosis: diagnosis and treatment. Curr Pharm Des. 2012;18(4):337

    Not in our library10.2174/138161212799316154

  3. 3.

    Dietsche B, Kircher T, Falkenberg I. Structural brain changes in schizophrenia at different stages of the illness: a selective review of longitudinal magnetic resonance imaging studies. Aust N Z J Psychiatry. 2017;51(5):500-508

    Not in our library10.1177/0004867417699473

  4. 4.

    Li F, Sun H, Biswal BB, Sweeney JA, Gong Q. Artificial intelligence applications in psychoradiology. Psychoradiology. 2021;1(2):94-107

    Not in our library10.1093/psyrad/kkab009

  5. 5.

    Zhang W, Deng W, Yao L,. Brain structural abnormalities in a group of never-medicated patients with long-term schizophrenia. Am J Psychiatry. 2015;172(10):995-1003

    Not in our library10.1176/appi.ajp.2015.14091108

  6. 6.

    Cetin-Karayumak S, Di Biase MA, Chunga N,. White matter abnormalities across the lifespan of schizophrenia: a harmonized multi-site diffusion MRI study. Mol Psychiatry. 2020;25(12):3208-3219

    Not in our library10.1038/s41380-019-0509-y

  7. 7.

    Xiao Y, Sun H, Shi S,. White matter abnormalities in never-treated patients with long-term schizophrenia. Am J Psychiatry. 2018;175(11):1129-1136

    Not in our library10.1176/appi.ajp.2018.17121402

  8. 8.
  9. 9.

    Bullmore E. Cortical thickness and connectivity in schizophrenia. Am J Psychiatry. 2019;176(7):505-506

    Not in our library10.1176/appi.ajp.2019.19050509

  10. 10.

    Clarkson MJ, Cardoso MJ, Ridgway GR,. A comparison of voxel and surface based cortical thickness estimation methods. Neuroimage. 2011;57(3):856-865

    Not in our library10.1016/j.neuroimage.2011.05.053

  11. 11.

    Barry EF, Vanes LD, Andrews DS,. Mapping cortical surface features in treatment resistant schizophrenia with in vivo structural MRI. Psychiatry Res. 2019;274:335-344

    Not in our library10.1016/j.psychres.2019.02.028

  12. 12.

    Jung WH, Kim JS, Jang JH,. Cortical thickness reduction in individuals at ultra-high-risk for psychosis. Schizophr Bull. 2011;37(4):839-849

    Not in our library10.1093/schbul/sbp151

  13. 13.

    Dukart J, Smieskova R, Harrisberger F,. Age-related brain structural alterations as an intermediate phenotype of psychosis. J Psychiatry Neurosci. 2017;42(5):307-319

    Not in our library10.1503/jpn.160179

  14. 14.

    Tognin S, Riecher-Rössler A, Meisenzahl EM,. Reduced parahippocampal cortical thickness in subjects at ultra-high risk for psychosis. Psychol Med. 2014;44(3):489-498

    Not in our library10.1017/s0033291713000998

  15. 15.

    Buechler R, Wotruba D, Michels L,. Cortical volume differences in subjects at risk for psychosis are driven by surface area. Schizophr Bull. 2020;46(6):1511-1519

    Not in our library10.1093/schbul/sbaa066

  16. 16.

    Cannon TD, Chung Y, He G,; North American Prodrome Longitudinal Study Consortium. Progressive reduction in cortical thickness as psychosis develops: a multisite longitudinal neuroimaging study of youth at elevated clinical risk. Biol Psychiatry. 2015;77(2):147-157

    Not in our library10.1016/j.biopsych.2014.05.023

  17. 17.

    Ziermans TB, Schothorst PF, Schnack HG,. Progressive structural brain changes during development of psychosis. Schizophr Bull. 2012;38(3):519-530

    Not in our library10.1093/schbul/sbq113

  18. 18.

    Lesh TA, Tanase C, Geib BR,. A multimodal analysis of antipsychotic effects on brain structure and function in first-episode schizophrenia. JAMA Psychiatry. 2015;72(3):226-234

    Not in our library10.1001/jamapsychiatry.2014.2178

  19. 19.

    Scanlon C, Anderson-Schmidt H, Kilmartin L,. Cortical thinning and caudate abnormalities in first episode psychosis and their association with clinical outcome. Schizophr Res. 2014;159(1):36-42

    Not in our library10.1016/j.schres.2014.07.030

  20. 20.

    Benetti S, Pettersson-Yeo W, Hutton C,. Elucidating neuroanatomical alterations in the at risk mental state and first episode psychosis: a combined voxel-based morphometry and voxel-based cortical thickness study. Schizophr Res. 2013;150(2-3):505-511

    Not in our library10.1016/j.schres.2013.08.030

  21. 21.

    Lin Y, Li M, Zhou Y,. Age-related reduction in cortical thickness in first-episode treatment-naïve patients with schizophrenia. Neurosci Bull. 2019;35(4):688-696

    Not in our library10.1007/s12264-019-00348-x

  22. 22.

    Gutiérrez-Galve L, Wheeler-Kingshott CA, Altmann DR,. Changes in the frontotemporal cortex and cognitive correlates in first-episode psychosis. Biol Psychiatry. 2010;68(1):51-60

    Not in our library10.1016/j.biopsych.2010.03.019

  23. 23.

    Wen K, Zhao Y, Gong Q,. Cortical thickness abnormalities in patients with first episode psychosis: a meta-analysis of psychoradiologic studies and replication in an independent sample. Psychoradiology. 2021;1(4):185-198

    Not in our library10.1093/psyrad/kkab015

  24. 24.

    Fortea A, Batalla A, Radua J,. Cortical gray matter reduction precedes transition to psychosis in individuals at clinical high-risk for psychosis: a voxel-based meta-analysis. Schizophr Res. 2021;232:98-106

    Not in our library10.1016/j.schres.2021.05.008

  25. 25.

    Seidman LJ, Pantelis C, Keshavan MS,. A review and new report of medial temporal lobe dysfunction as a vulnerability indicator for schizophrenia: a magnetic resonance imaging morphometric family study of the parahippocampal gyrus. Schizophr Bull. 2003;29(4):803-830

    Not in our library10.1093/oxfordjournals.schbul.a007048

  26. 26.

    Wannan CMJ, Cropley VL, Chakravarty MM,. Evidence for network-based cortical thickness reductions in schizophrenia. Am J Psychiatry. 2019;176(7):552-563

    Not in our library10.1176/appi.ajp.2019.18040380

  27. 27.

    Sweeney JA, Haas GL, Li S. Neuropsychological and eye movement abnormalities in first-episode and chronic schizophrenia. Schizophr Bull. 1992;18(2):283-293

    Not in our library10.1093/schbul/18.2.283

  28. 28.

    Copolov D, Velakoulis D, McGorry P,. Neurobiological findings in early phase schizophrenia. Brain Res Brain Res Rev. 2000;31(2-3):157-165

    Not in our library10.1016/s0165-0173(99)00033-8

  29. 29.

    Liberati A, Altman DG, Tetzlaff J,. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. J Clin Epidemiol. 2009;62(10):e1-e34

    Not in our library10.1016/j.jclinepi.2009.06.006

  30. 30.

    Radua J, van den Heuvel OA, Surguladze S, Mataix-Cols D. Meta-analytical comparison of voxel-based morphometry studies in obsessive-compulsive disorder vs other anxiety disorders. Arch Gen Psychiatry. 2010;67(7):701-711

    Not in our library10.1001/archgenpsychiatry.2010.70

  31. 31.

    Kwak YB, Kim M, Cho KIK, Lee J, Lee TY, Kwon JS. Reduced cortical thickness in subjects at clinical high risk for psychosis and clinical attributes. Aust N Z J Psychiatry. 2019;53(3):219-227

    Not in our library10.1177/0004867418807299

  32. 32.

    Klauser P, Zhou J, Lim JK,. Lack of evidence for regional brain volume or cortical thickness abnormalities in youths at clinical high risk for psychosis: findings from the Longitudinal Youth at Risk Study. Schizophr Bull. 2015;41(6):1285-1293

    Not in our library10.1093/schbul/sbv012

  33. 33.

    Gisselgård J, Lebedev AV, Dæhli Kurz K, Joa I, Johannessen JO, Brønnick K. Structural and functional alterations in the brain during working memory in medication-naïve patients at clinical high-risk for psychosis. PLoS One. 2018;13(5):e0196289

    Not in our library10.1371/journal.pone.0196289

  34. 34.
  35. 35.

    Ansell BRE, Dwyer DB, Wood SJ,. Divergent effects of first-generation and second-generation antipsychotics on cortical thickness in first-episode psychosis. Psychol Med. 2015;45(3):515-527

    Not in our library10.1017/s0033291714001652

  36. 36.

    Buchy L, Makowski C, Malla A, Joober R, Lepage M. A longitudinal study of cognitive insight and cortical thickness in first-episode psychosis. Schizophr Res. 2018;193:251-260

    Not in our library10.1016/j.schres.2017.06.048

  37. 37.

    Haukvik UK, Hartberg CB, Nerland S,. No progressive brain changes during a 1-year follow-up of patients with first-episode psychosis. Psychol Med. 2016;46(3):589-598

    Not in our library10.1017/s003329171500210x

  38. 38.

    Rais M, van Haren NEM, Cahn W,. Cannabis use and progressive cortical thickness loss in areas rich in CB1 receptors during the first five years of schizophrenia. Eur Neuropsychopharmacol. 2010;20(12):855-865

    Not in our library10.1016/j.euroneuro.2010.08.008

  39. 39.

    Reniers RL, Garner B, Phassouliotis C,. The relationship between stress, HPA axis functioning and brain structure in first episode psychosis over the first 12 weeks of treatment. Psychiatry Res. 2015;231(2):111-119

    Not in our library10.1016/j.pscychresns.2014.11.004

  40. 40.

    Thormodsen R, Rimol LM, Tamnes CK,. Age-related cortical thickness differences in adolescents with early-onset schizophrenia compared with healthy adolescents. Psychiatry Res. 2013;214(3):190-196

    Not in our library10.1016/j.pscychresns.2013.07.003

  41. 41.

    Voets NL, Hough MG, Douaud G,. Evidence for abnormalities of cortical development in adolescent-onset schizophrenia. Neuroimage. 2008;43(4):665-675

    Not in our library10.1016/j.neuroimage.2008.08.013

  42. 42.

    Madre M, Canales-Rodríguez EJ, Fuentes-Claramonte P,. Structural abnormality in schizophrenia versus bipolar disorder: a whole brain cortical thickness, surface area, volume and gyrification analyses. Neuroimage Clin. 2020;25:102131

    Not in our library10.1016/j.nicl.2019.102131

  43. 43.

    Green AE, Croft RJ, Maller JJ, Fitzgerald PB. White matter correlates of episodic memory encoding and retrieval in schizophrenia. Psychiatry Res Neuroimaging. 2016;254:188-198

    Not in our library10.1016/j.pscychresns.2016.07.002

  44. 44.

    Kong L, Herold CJ, Zöllner F,. Comparison of grey matter volume and thickness for analysing cortical changes in chronic schizophrenia: a matter of surface area, grey/white matter intensity contrast, and curvature. Psychiatry Res. 2015;231(2):176-183

    Not in our library10.1016/j.pscychresns.2014.12.004

  45. 45.

    Landin-Romero R, Canales-Rodríguez EJ, Kumfor F,. Surface-based brain morphometry and diffusion tensor imaging in schizoaffective disorder. Aust N Z J Psychiatry. 2017;51(1):42-54

    Not in our library10.1177/0004867416631827

  46. 46.

    Nelson EA, Kraguljac NV, White DM, Jindal RD, Shin AL, Lahti AC. A prospective longitudinal investigation of cortical thickness and gyrification in schizophrenia. Can J Psychiatry. 2020;65(6):381-391

    Not in our library10.1177/0706743720904598

  47. 47.

    Quidé Y, Wilhelmi C, Green MJ. Structural brain morphometry associated with theory of mind in bipolar disorder and schizophrenia. Psych J. 2020;9(2):234-246

    Not in our library10.1002/pchj.322

  48. 48.

    Xie T, Zhang X, Tang X,. Mapping convergent and divergent cortical thinning patterns in patients with deficit and nondeficit schizophrenia. Schizophr Bull. 2019;45(1):211-221

    Not in our library10.1093/schbul/sbx178

  49. 49.

    Zugman A, Gadelha A, Assunção I,. Reduced dorso-lateral prefrontal cortex in treatment resistant schizophrenia. Schizophr Res. 2013;148(1-3):81-86

    Not in our library10.1016/j.schres.2013.05.002

  50. 50.

    Xu P, Chen A, Li Y, Xing X, Lu H. Medial prefrontal cortex in neurological diseases. Physiol Genomics. 2019;51(9):432-442

    Not in our library10.1152/physiolgenomics.00006.2019

  51. 51.

    Yan C, Yang T, Yu QJ,. Rostral medial prefrontal dysfunctions and consummatory pleasure in schizophrenia: a meta-analysis of functional imaging studies. Psychiatry Res. 2015;231(3):187-196

    Not in our library10.1016/j.pscychresns.2015.01.001

  52. 52.

    Ragland JD, Laird AR, Ranganath C, Blumenfeld RS, Gonzales SM, Glahn DC. Prefrontal activation deficits during episodic memory in schizophrenia. Am J Psychiatry. 2009;166(8):863-874

    Not in our library10.1176/appi.ajp.2009.08091307

  53. 53.

    Perlstein WM, Carter CS, Noll DC, Cohen JD. Relation of prefrontal cortex dysfunction to working memory and symptoms in schizophrenia. Am J Psychiatry. 2001;158(7):1105-1113

    Not in our library10.1176/appi.ajp.158.7.1105

  54. 54.

    Pelizza L, Poletti M, Azzali S,. Anhedonia in adolescents at ultra-high risk (UHR) of psychosis: findings from a 1-year longitudinal study. Eur Arch Psychiatry Clin Neurosci. 2020;270(3):337-350

    Not in our library10.1007/s00406-019-01018-9

  55. 55.

    Barch DM, Smith E. The cognitive neuroscience of working memory: relevance to CNTRICS and schizophrenia. Biol Psychiatry. 2008;64(1):11-17

    Not in our library10.1016/j.biopsych.2008.03.003

  56. 56.

    Ding Y, Ou Y, Pan P,. Brain structural abnormalities as potential markers for detecting individuals with ultra-high risk for psychosis: a systematic review and meta-analysis. Schizophr Res. 2019;209:22-31

    Not in our library10.1016/j.schres.2019.05.015

  57. 57.

    Borgwardt SJ, Riecher-Rössler A, Dazzan P,. Regional gray matter volume abnormalities in the at risk mental state. Biol Psychiatry. 2007;61(10):1148-1156

    Not in our library10.1016/j.biopsych.2006.08.009

  58. 58.

    Ferstl EC, Neumann J, Bogler C, von Cramon DY. The extended language network: a meta-analysis of neuroimaging studies on text comprehension. Hum Brain Mapp. 2008;29(5):581-593

    Not in our library10.1002/hbm.20422

  59. 59.

    Di Biase MA, Zhang F, Lyall A,. Neuroimaging auditory verbal hallucinations in schizophrenia patient and healthy populations. Psychol Med. 2020;50(3):403-412

    Not in our library10.1017/s0033291719000205

  60. 60.

    Shenton ME, Kikinis R, Jolesz FA,. Abnormalities of the left temporal lobe and thought disorder in schizophrenia: a quantitative magnetic resonance imaging study. N Engl J Med. 1992;327(9):604-612

    Not in our library10.1056/nejm199208273270905

  61. 61.

    Woodruff PW, Wright IC, Bullmore ET,. Auditory hallucinations and the temporal cortical response to speech in schizophrenia: a functional magnetic resonance imaging study. Am J Psychiatry. 1997;154(12):1676-1682

    Not in our library10.1176/ajp.154.12.1676

  62. 62.

    Li J, Wu C, Zheng Y,. Schizophrenia affects speech-induced functional connectivity of the superior temporal gyrus under cocktail-party listening conditions. Neuroscience. 2017;359:248-257

    Not in our library10.1016/j.neuroscience.2017.06.043

  63. 63.

    Menon V, Uddin LQ. Saliency, switching, attention and control: a network model of insula function. Brain Struct Funct. 2010;214(5-6):655-667

    Not in our library10.1007/s00429-010-0262-0

  64. 64.

    Shapleske J, Rossell SL, Chitnis XA,. A computational morphometric MRI study of schizophrenia: effects of hallucinations. Cereb Cortex. 2002;12(12):1331-1341

    Not in our library10.1093/cercor/12.12.1331

  65. 65.

    Roes MM, Yin J, Taylor L,. Hallucination-specific structure-function associations in schizophrenia. Psychiatry Res Neuroimaging. 2020;305:111171

    Not in our library10.1016/j.pscychresns.2020.111171

  66. 66.

    Gong Q, Lui S, Sweeney JA. A selective review of cerebral abnormalities in patients with first-episode schizophrenia before and after treatment. Am J Psychiatry. 2016;173(3):232-243

    Not in our library10.1176/appi.ajp.2015.15050641

  67. 67.

    Chan RC, Di X, McAlonan GM, Gong QY. Brain anatomical abnormalities in high-risk individuals, first-episode, and chronic schizophrenia: an activation likelihood estimation meta-analysis of illness progression. Schizophr Bull. 2011;37(1):177-188

    Not in our library10.1093/schbul/sbp073

  68. 68.

    Briggs RG, Chakraborty AR, Anderson CD,. Anatomy and white matter connections of the inferior frontal gyrus. Clin Anat. 2019;32(4):546-556

    Not in our library10.1002/ca.23349

  69. 69.

    Mesulam MM. From sensation to cognition. Brain. 1998;121(pt 6):1013-1052

    Not in our library10.1093/brain/121.6.1013

  70. 70.

    Olson IR, Plotzker A, Ezzyat Y. The enigmatic temporal pole: a review of findings on social and emotional processing. Brain. 2007;130(pt 7):1718-1731

    Not in our library10.1093/brain/awm052

  71. 71.

    Wylie KP, Tregellas JR. The role of the insula in schizophrenia. Schizophr Res. 2010;123(2-3):93-104

    Not in our library10.1016/j.schres.2010.08.027

  72. 72.

    Liao J, Yan H, Liu Q,. Reduced paralimbic system gray matter volume in schizophrenia: correlations with clinical variables, symptomatology and cognitive function. J Psychiatr Res. 2015;65:80-86

    Not in our library10.1016/j.jpsychires.2015.04.008

  73. 73.

    Harvey PD, Rosenthal JB. Cognitive and functional deficits in people with schizophrenia: evidence for accelerated or exaggerated aging? Schizophr Res. 2018;196:14-21

    Not in our library10.1016/j.schres.2017.05.009

  74. 74.

    Hulshoff Pol HE, Kahn RS. What happens after the first episode? a review of progressive brain changes in chronically ill patients with schizophrenia. Schizophr Bull. 2008;34(2):354-366

    Not in our library10.1093/schbul/sbm168

  75. 75.

    Hill SK, Reilly JL, Keefe RS,. Neuropsychological impairments in schizophrenia and psychotic bipolar disorder: findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. Am J Psychiatry. 2013;170(11):1275-1284

    Not in our library10.1176/appi.ajp.2013.12101298

  76. 76.

    Cropley VL, Klauser P, Lenroot RK,. Accelerated gray and white matter deterioration with age in schizophrenia. Am J Psychiatry. 2017;174(3):286-295

    Not in our library10.1176/appi.ajp.2016.16050610

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