Atlas of gray matter volume differences across psychiatric conditions: A systematic review with a novel meta-analysis that considers co-occurring disorders

Lydia Fortea; Maria Ortuño; Michele De Prisco; Vincenzo Oliva; Anton Albajes-Eizagirre; Adriana Fortea; Santiago Madero; Aleix Solanes; Enric Vilajosana; Yuanwei Yao; Lorenzo Del Fabro; Eduard Solé Galindo; Norma Verdolini; Alvar Farré-Colomés; Maria Serra-Blasco; Maria Picó-Pérez; Steve Lukito; Toby Wise; Christina Carlisi; Danilo Arnone; Matthew Kempton; Alexander Omar Hauson; Scott Wollman; Carles Soriano-Mas; Katya Rubia; Luke Norman; Paolo Fusar-Poli; David Mataix-Cols; Marc Valentí; Esther Via; Narcis Cardoner; Marco Solmi; Jintao Zhang; Pinglei Pan; Jae Il Shin; Miquel Àngel Fullana; Eduard Vieta; Joaquim Radua

doi:10.1016/j.biopsych.2024.10.020

Atlas of gray matter volume differences across psychiatric conditions: A systematic review with a novel meta-analysis that considers co-occurring disorders

Lydia Fortea, Maria Ortuño, Michele De Prisco, Vincenzo Oliva, Anton Albajes-Eizagirre, Adriana Fortea, Santiago Madero, Aleix Solanes, Enric Vilajosana, Yuanwei Yao, Lorenzo Del Fabro, Eduard Solé Galindo, Norma Verdolini, Alvar Farré-Colomés, Maria Serra-Blasco, Maria Picó-Pérez, Steve Lukito, Toby Wise, Christina Carlisi, Danilo ArnoneMatthew Kempton, Alexander Omar Hauson, Scott Wollman, Carles Soriano-Mas, Katya Rubia, Luke Norman, Paolo Fusar-Poli, David Mataix-Cols, Marc Valentí, Esther Via, Narcis Cardoner, Marco Solmi, Jintao Zhang, Pinglei Pan, Jae Il Shin, Miquel Àngel Fullana, Eduard Vieta, Joaquim Radua

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

151 Downloads (Pure)

Abstract

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.

Original language	English
Journal	Biological psychiatry
Early online date	2 Nov 2024
DOIs	https://doi.org/10.1016/j.biopsych.2024.10.020
Publication status	E-pub ahead of print - 2 Nov 2024

Access to Document

10.1016/j.biopsych.2024.10.020Licence: CC BY

meta-analytic_atlas_BP_final2 (1)

https://linkinghub.elsevier.com/retrieve/pii/S0006322324017293

Cite this

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, E. S., Verdolini, N., Farré-Colomés, A., Serra-Blasco, M., Picó-Pérez, M., Lukito, S., Wise, T., Carlisi, C., ... Radua, J. (2024). Atlas of gray matter volume differences across psychiatric conditions: A systematic review with a novel meta-analysis that considers co-occurring disorders. Biological psychiatry. Advance online publication. https://doi.org/10.1016/j.biopsych.2024.10.020

@article{44ff5d6c08df4c85a262203ed833a710,

title = "Atlas of gray matter volume differences across psychiatric conditions: A systematic review with a novel meta-analysis that considers co-occurring disorders",

abstract = "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{\textquoteright} 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.",

author = "Lydia Fortea and Maria Ortu{\~n}o and {De Prisco}, Michele and Vincenzo Oliva and Anton Albajes-Eizagirre and Adriana Fortea and Santiago Madero and Aleix Solanes and Enric Vilajosana and Yuanwei Yao and {Del Fabro}, Lorenzo and Galindo, {Eduard Sol{\'e}} and Norma Verdolini and Alvar Farr{\'e}-Colom{\'e}s and Maria Serra-Blasco and Maria Pic{\'o}-P{\'e}rez and Steve Lukito and Toby Wise and Christina Carlisi and Danilo Arnone and Matthew Kempton and Hauson, {Alexander Omar} and Scott Wollman and Carles Soriano-Mas and Katya Rubia and Luke Norman and Paolo Fusar-Poli and David Mataix-Cols and Marc Valent{\'i} and Esther Via and Narcis Cardoner and Marco Solmi and Jintao Zhang and Pinglei Pan and Shin, {Jae Il} and Fullana, {Miquel {\`A}ngel} and Eduard Vieta and Joaquim Radua",

note = "Publisher Copyright: {\textcopyright} 2024 Society of Biological Psychiatry",

year = "2024",

month = nov,

day = "2",

doi = "10.1016/j.biopsych.2024.10.020",

language = "English",

journal = "Biological psychiatry",

issn = "0006-3223",

publisher = "Elsevier",

}

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 2024, 'Atlas of gray matter volume differences across psychiatric conditions: A systematic review with a novel meta-analysis that considers co-occurring disorders', Biological psychiatry. https://doi.org/10.1016/j.biopsych.2024.10.020

TY - JOUR

T1 - Atlas of gray matter volume differences across psychiatric conditions

T2 - A systematic review with a novel meta-analysis that considers co-occurring disorders

AU - Fortea, Lydia

AU - Ortuño, Maria

AU - De Prisco, Michele

AU - Oliva, Vincenzo

AU - Albajes-Eizagirre, Anton

AU - Fortea, Adriana

AU - Madero, Santiago

AU - Solanes, Aleix

AU - Vilajosana, Enric

AU - Yao, Yuanwei

AU - Del Fabro, Lorenzo

AU - Galindo, Eduard Solé

AU - Verdolini, Norma

AU - Farré-Colomés, Alvar

AU - Serra-Blasco, Maria

AU - Picó-Pérez, Maria

AU - Lukito, Steve

AU - Wise, Toby

AU - Carlisi, Christina

AU - Arnone, Danilo

AU - Kempton, Matthew

AU - Hauson, Alexander Omar

AU - Wollman, Scott

AU - Soriano-Mas, Carles

AU - Rubia, Katya

AU - Norman, Luke

AU - Fusar-Poli, Paolo

AU - Mataix-Cols, David

AU - Valentí, Marc

AU - Via, Esther

AU - Cardoner, Narcis

AU - Solmi, Marco

AU - Zhang, Jintao

AU - Pan, Pinglei

AU - Shin, Jae Il

AU - Fullana, Miquel Àngel

AU - Vieta, Eduard

AU - Radua, Joaquim

PY - 2024/11/2

Y1 - 2024/11/2

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85213986601&partnerID=8YFLogxK

U2 - 10.1016/j.biopsych.2024.10.020

DO - 10.1016/j.biopsych.2024.10.020

M3 - Article

C2 - 39491638

SN - 0006-3223

JO - Biological psychiatry

JF - Biological psychiatry

ER -

Atlas of gray matter volume differences across psychiatric conditions: A systematic review with a novel meta-analysis that considers co-occurring disorders

Abstract

Access to Document

Other files and links

Fingerprint

Cite this