Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders.

BACKGROUND: Regional gray matter volume (GMV) differences between individuals with mental disorders and comparison participants may be confounded by co-occurring disorders. To disentangle disorder-specific GMV correlates, we conducted a large-scale multidisorder meta-analysis using a novel approach...

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Autores: Fortea L, Ortuño M, De Prisco M, Oliva V, Albajes-Eizagirre A, Fortea A, Madero S, Solanes A, Vilajosana E, Yao Y, Del Fabro L, Galindo ES, Verdolini N, Farré-Colomés A, Serra-Blasco M, Picó-Pérez M, Lukito S, Wise T, Carlisi C, Arnone D, Kempton M, Hauson AO, Wollman S, Soriano-Mas C, Rubia K, Norman L, Fusar-Poli P, Mataix-Cols D, Valentí M, Via E, Cardoner N, Solmi M, Zhang J, Pan P, Shin JI, Fullana MÀ, Vieta E, Radua J
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Fundació Sant Joan de Déu
Repositorio:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
OAI Identifier:oai:fsjd.fundanetsuite.com:p27003
Acceso en línea:https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=27003
Access Level:acceso abierto
Palabra clave:Anxiety disorders
Comorbidity
Gray matter volume
Major depressive disorder
Meta-analysis
Psychiatric conditions
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spelling Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders.Fortea LOrtuño MDe Prisco MOliva VAlbajes-Eizagirre AFortea AMadero SSolanes AVilajosana EYao YDel Fabro LGalindo ESVerdolini NFarré-Colomés ASerra-Blasco MPicó-Pérez MLukito SWise TCarlisi CArnone DKempton MHauson AOWollman SSoriano-Mas CRubia KNorman LFusar-Poli PMataix-Cols DValentí MVia ECardoner NSolmi MZhang JPan PShin JIFullana MÀVieta ERadua JAnxiety disordersComorbidityGray matter volumeMajor depressive disorderMeta-analysisPsychiatric conditionsBACKGROUND: Regional gray matter volume (GMV) differences between individuals with mental disorders and comparison participants may be confounded by co-occurring disorders. To disentangle disorder-specific GMV correlates, we conducted a large-scale multidisorder meta-analysis using a novel approach that explicitly models co-occurring disorders. METHODS: We systematically reviewed voxel-based morphometry studies indexed in PubMed and Scopus up to January 2023 that compared adults with major mental disorders (anorexia nervosa, schizophrenia spectrum, anxiety, bipolar, major depressive, obsessive-compulsive, and posttraumatic stress disorders plus attention-deficit/hyperactivity, autism spectrum, and borderline personality disorders) with comparison participants. Two authors independently extracted data and assessed quality using the Newcastle-Ottawa Scale. We derived GMV correlates for each disorder using: 1) a multidisorder meta-analysis that accounted for all co-occurring mental disorders simultaneously and 2) separate standard meta-analyses for each disorder in which co-occurring disorders were ignored. We assessed the alterations' extent, intensity (effect size), and specificity (interdisorder correlations and transdiagnostic alterations) for both approaches. RESULTS: We included 433 studies (499 datasets) involving 19,718 patients and 16,441 comparison participants (51% female, ages 20-67 years). We provide GMV correlate maps for each disorder using both approaches. The novel approach, which accounted for co-occurring disorders, produced GMV correlates that were more focal and disorder specific (less correlated across disorders and fewer transdiagnostic abnormalities). CONCLUSIONS: This work offers the most comprehensive atlas of GMV correlates across major mental disorders. Modeling co-occurring disorders yielded more specific correlates, supporting this approach's validity. The atlas NIfTI maps are available online.ELSEVIER SCIENCE INC2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=27003Biological PsychiatryISSN: 00063223ISSNe: 18732402reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déuinstname:Fundació Sant Joan de DéuInglésinfo:eu-repo/semantics/openAccessoai:fsjd.fundanetsuite.com:p270032026-05-27T12:37:41Z
dc.title.none.fl_str_mv Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders.
title Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders.
spellingShingle Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders.
Fortea L
Anxiety disorders
Comorbidity
Gray matter volume
Major depressive disorder
Meta-analysis
Psychiatric conditions
title_short Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders.
title_full Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders.
title_fullStr Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders.
title_full_unstemmed Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders.
title_sort Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders.
dc.creator.none.fl_str_mv Fortea L
Ortuño M
De Prisco M
Oliva V
Albajes-Eizagirre A
Fortea A
Madero S
Solanes A
Vilajosana E
Yao Y
Del Fabro L
Galindo ES
Verdolini N
Farré-Colomés A
Serra-Blasco M
Picó-Pérez M
Lukito S
Wise T
Carlisi C
Arnone D
Kempton M
Hauson AO
Wollman S
Soriano-Mas C
Rubia K
Norman L
Fusar-Poli P
Mataix-Cols D
Valentí M
Via E
Cardoner N
Solmi M
Zhang J
Pan P
Shin JI
Fullana MÀ
Vieta E
Radua J
author Fortea L
author_facet Fortea L
Ortuño M
De Prisco M
Oliva V
Albajes-Eizagirre A
Fortea A
Madero S
Solanes A
Vilajosana E
Yao Y
Del Fabro L
Galindo ES
Verdolini N
Farré-Colomés A
Serra-Blasco M
Picó-Pérez M
Lukito S
Wise T
Carlisi C
Arnone D
Kempton M
Hauson AO
Wollman S
Soriano-Mas C
Rubia K
Norman L
Fusar-Poli P
Mataix-Cols D
Valentí M
Via E
Cardoner N
Solmi M
Zhang J
Pan P
Shin JI
Fullana MÀ
Vieta E
Radua J
author_role author
author2 Ortuño M
De Prisco M
Oliva V
Albajes-Eizagirre A
Fortea A
Madero S
Solanes A
Vilajosana E
Yao Y
Del Fabro L
Galindo ES
Verdolini N
Farré-Colomés A
Serra-Blasco M
Picó-Pérez M
Lukito S
Wise T
Carlisi C
Arnone D
Kempton M
Hauson AO
Wollman S
Soriano-Mas C
Rubia K
Norman L
Fusar-Poli P
Mataix-Cols D
Valentí M
Via E
Cardoner N
Solmi M
Zhang J
Pan P
Shin JI
Fullana MÀ
Vieta E
Radua J
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Anxiety disorders
Comorbidity
Gray matter volume
Major depressive disorder
Meta-analysis
Psychiatric conditions
topic Anxiety disorders
Comorbidity
Gray matter volume
Major depressive disorder
Meta-analysis
Psychiatric conditions
description BACKGROUND: Regional gray matter volume (GMV) differences between individuals with mental disorders and comparison participants may be confounded by co-occurring disorders. To disentangle disorder-specific GMV correlates, we conducted a large-scale multidisorder meta-analysis using a novel approach that explicitly models co-occurring disorders. METHODS: We systematically reviewed voxel-based morphometry studies indexed in PubMed and Scopus up to January 2023 that compared adults with major mental disorders (anorexia nervosa, schizophrenia spectrum, anxiety, bipolar, major depressive, obsessive-compulsive, and posttraumatic stress disorders plus attention-deficit/hyperactivity, autism spectrum, and borderline personality disorders) with comparison participants. Two authors independently extracted data and assessed quality using the Newcastle-Ottawa Scale. We derived GMV correlates for each disorder using: 1) a multidisorder meta-analysis that accounted for all co-occurring mental disorders simultaneously and 2) separate standard meta-analyses for each disorder in which co-occurring disorders were ignored. We assessed the alterations' extent, intensity (effect size), and specificity (interdisorder correlations and transdiagnostic alterations) for both approaches. RESULTS: We included 433 studies (499 datasets) involving 19,718 patients and 16,441 comparison participants (51% female, ages 20-67 years). We provide GMV correlate maps for each disorder using both approaches. The novel approach, which accounted for co-occurring disorders, produced GMV correlates that were more focal and disorder specific (less correlated across disorders and fewer transdiagnostic abnormalities). CONCLUSIONS: This work offers the most comprehensive atlas of GMV correlates across major mental disorders. Modeling co-occurring disorders yielded more specific correlates, supporting this approach's validity. The atlas NIfTI maps are available online.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=27003
url https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=27003
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv ELSEVIER SCIENCE INC
publisher.none.fl_str_mv ELSEVIER SCIENCE INC
dc.source.none.fl_str_mv Biological Psychiatry
ISSN: 00063223
ISSNe: 18732402
reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname:Fundació Sant Joan de Déu
instname_str Fundació Sant Joan de Déu
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