Evidence map›Paper›PMID 27354958›Full record

ArticleNeuroImage. Clinical2016

Patterns of regional gray matter loss at different stages of schizophrenia: A multisite, cross-sectional VBM study in first-episode and chronic illness.

Ulysses S Torres, Fabio L S Duran, Maristela S Schaufelberger, José A S Crippa, Mario R Louzã, Paulo C Sallet, Caroline Y O Kanegusuku, Helio Elkis, Wagner F Gattaz, Débora P Bassitt and 7 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in NeuroImage. Clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 3 pooled it
12.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 3 syntheses or guidelines pooled it, 126 citations in OpenAlex.

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  8. [Illness duration-related developmental trajectory of progressive cerebral gray matter changes in schizophrenia].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
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1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 2 institutions in 2 countries.

Ulysses S TorresPost-Graduation Program in Radiology, Institute of Radiology (INRAD), Faculty of Medicine, University of São Paulo, Brazil; Laboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, Brazil; Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil.
Fabio L S DuranLaboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, Brazil; Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil.
Maristela S SchaufelbergerLaboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, Brazil; Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil; Department of Neuroscience and Behaviour, School of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.
José A S CrippaCenter for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil; Department of Neuroscience and Behaviour, School of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.
Mario R LouzãDepartment and Institute of Psychiatry, University of Sao Paulo Medical School, Brazil.
Paulo C SalletCenter for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil; Department and Institute of Psychiatry, University of Sao Paulo Medical School, Brazil.
Caroline Y O KanegusukuDepartment and Institute of Psychiatry, University of Sao Paulo Medical School, Brazil.
Helio ElkisDepartment and Institute of Psychiatry, University of Sao Paulo Medical School, Brazil.
Wagner F GattazCenter for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil; Department and Institute of Psychiatry, University of Sao Paulo Medical School, Brazil; Laboratory of Neuroscience (LIM 27), Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, Brazil.
Débora P BassittDepartment and Institute of Psychiatry, University of Sao Paulo Medical School, Brazil.
Antonio W ZuardiCenter for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil; Department of Neuroscience and Behaviour, School of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.
Jaime Eduardo C HallakCenter for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil; Department of Neuroscience and Behaviour, School of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.
Claudia C LeitePost-Graduation Program in Radiology, Institute of Radiology (INRAD), Faculty of Medicine, University of São Paulo, Brazil; Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil.
Claudio C CastroPost-Graduation Program in Radiology, Institute of Radiology (INRAD), Faculty of Medicine, University of São Paulo, Brazil; Department of Diagnostic Imaging, Heart Institute (InCor), Faculty of Medicine, University of São Paulo, Brazil.
Antonio Carlos SantosCenter for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil; Department of Internal Medicine - Radiology Division, School of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil.
Robin M MurrayDepartment of Psychosis Studies, Institute of Psychiatry, King's College London, UK.
Geraldo F BusattoPost-Graduation Program in Radiology, Institute of Radiology (INRAD), Faculty of Medicine, University of São Paulo, Brazil; Laboratory of Psychiatric Neuroimaging (LIM-21), Department and Institute of Psychiatry, Faculty of Medicine, University of São Paulo, Brazil; Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Brazil; Department and Institute of Psychiatry, University of Sao Paulo Medical School, Brazil.
Universidade de São Paulo · BRKing's College London · GB

Funding

Department of Health RP-PG-0606-1049Medical Research Council G0600972Medical Research Council G0700995Medical Research Council G1100583Medical Research Council MR/K004867/1Medical Research Council MR/K013807/1
6 · The paper itself

Abstract

backgroundStructural brain abnormalities in schizophrenia have been repeatedly demonstrated in magnetic resonance imaging (MRI) studies, but it remains unclear whether these are static or progressive in nature. While longitudinal MRI studies have been traditionally used to assess the issue of progression of brain abnormalities in schizophrenia, information from cross-sectional neuroimaging studies directly comparing first-episode and chronic schizophrenia patients to healthy controls may also be useful to further clarify this issue. With the recent interest in multisite mega-analyses combining structural MRI data from multiple centers aiming at increased statistical power, the present multisite voxel-based morphometry (VBM) study was carried out to examine patterns of brain structural changes according to the different stages of illness and to ascertain which (if any) of such structural abnormalities would be specifically correlated to potential clinical moderators, including cumulative exposure to antipsychotics, age of onset, illness duration and overall illness severity.

methodsWe gathered a large sample of schizophrenia patients (161, being 99 chronic and 62 first-episode) and controls (151) from four previous morphometric MRI studies (1.5 T) carried out in the same geographical region of Brazil. Image processing and analyses were conducted using Statistical Parametric Mapping (SPM8) software with the diffeomorphic anatomical registration through exponentiated Lie algebra (DARTEL) algorithm. Group effects on regional gray matter (GM) volumes were investigated through whole-brain voxel-wise comparisons using General Linear Model Analysis of Co-variance (ANCOVA), always including total GM volume, scan protocol, age and gender as nuisance variables. Finally, correlation analyses were performed between the aforementioned clinical moderators and regional and global brain volumes.

resultsFirst-episode schizophrenia subjects displayed subtle volumetric deficits relative to controls in a circumscribed brain regional network identified only in small volume-corrected (SVC) analyses (p < 0.05, FWE-corrected), including the insula, temporolimbic structures and striatum. Chronic schizophrenia patients, on the other hand, demonstrated an extensive pattern of regional GM volume decreases relative to controls, involving bilateral superior, inferior and orbital frontal cortices, right middle frontal cortex, bilateral anterior cingulate cortices, bilateral insulae and right superior and middle temporal cortices (p < 0.05, FWE-corrected over the whole brain). GM volumes in several of those brain regions were directly correlated with age of disease onset on SVC analyses for conjoined (first-episode and chronic) schizophrenia groups. There were also widespread foci of significant negative correlation between duration of illness and relative GM volumes, but such findings remained significant only for the right dorsolateral prefrontal cortex after accounting for the influence of age of disease onset. Finally, significant negative correlations were detected between life-time cumulative exposure to antipsychotics and total GM and white matter volumes in schizophrenia patients, but no significant relationship was found between indices of antipsychotic usage and relative GM volume in any specific brain region.

conclusionThe above data indicate that brain changes associated with the diagnosis of schizophrenia are more widespread in chronic schizophrenia compared to first-episode patients. Our findings also suggest that relative GM volume deficits may be greater in (presumably more severe) cases with earlier age of onset, as well as varying as a function of illness duration in specific frontal brain regions. Finally, our results highlight the potentially complex effects of the continued use of antipsychotic drugs on structural brain abnormalities in schizophrenia, as we found that cumulative doses of antipsychotics affected brain volumes globally rather than selectively on frontal-temporal regions.

Indexed as

AdultBrazilCerebral CortexChronic DiseaseCross-Sectional StudiesFemaleGray MatterHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleSchizophreniaYoung AdultMRISchizophreniaVoxel-based morphometry

Identifiers

PMID27354958
PMCPMC4910144
OpenAlexW2419381113

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.