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

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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Hauptverfasser: Fortea, Lydia (VerfasserIn) , Ortuño, Maria (VerfasserIn) , De Prisco, Michele (VerfasserIn) , Oliva, Vincenzo (VerfasserIn) , Albajes-Eizagirre, Anton (VerfasserIn) , Fortea, Adriana (VerfasserIn) , Madero, Santiago (VerfasserIn) , Solanes, Aleix (VerfasserIn) , Vilajosana, Enric (VerfasserIn) , Yao, Yuanwei (VerfasserIn) , Del Fabro, Lorenzo (VerfasserIn) , Solé, Eduard (VerfasserIn) , Verdolini, Norma (VerfasserIn) , Farré i Colomés, Àlvar (VerfasserIn) , Serra-Blasco, Maria (VerfasserIn) , Picó-Pérez, Maria (VerfasserIn) , Lukito, Steve (VerfasserIn) , Wise, Toby (VerfasserIn) , Carlisi, Christina (VerfasserIn) , Arnone, Danilo (VerfasserIn) , Kempton, Matthew J. (VerfasserIn) , Hauson, Alexander Omar (VerfasserIn) , Wollman, Scott (VerfasserIn) , Soriano-Mas, Carles (VerfasserIn) , Rubia, Katya (VerfasserIn) , Norman, Luke (VerfasserIn) , Fusar-Poli, Paolo (VerfasserIn) , Mataix-Cols, David (VerfasserIn) , Valentí, Marc (VerfasserIn) , Via, Esther (VerfasserIn) , Cardoner, Narcis (VerfasserIn) , Solmi, Marco (VerfasserIn) , Zhang, Jintao (VerfasserIn) , Pan, Pinglei (VerfasserIn) , Shin, Jae Il (VerfasserIn) , Fullana, Miquel A. (VerfasserIn) , Vieta, Eduard (VerfasserIn) , Radua, Joaquim (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: July 1, 2025
In: Biological psychiatry
Year: 2025, Jahrgang: 98, Heft: 1, Pages: 76-90
ISSN:1873-2402
DOI:10.1016/j.biopsych.2024.10.020
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.biopsych.2024.10.020
Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S0006322324017293
Volltext
Verfasserangaben: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, Norma Verdolini, Alvar Farré-Colomés, Maria Serra-Blasco, Maria Picó-Pérez, Steve Lukito, Toby Wise, Christina Carlisi, Danilo Arnone, Matthew J. 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 A. Fullana, Eduard Vieta, and Joaquim Radua
Beschreibung
Zusammenfassung: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.
Beschreibung:Online verfügbar: 2. November 2024, Artikelversion: 11. Juni 2025
Gesehen am 11.11.2025
Beschreibung:Online Resource
ISSN:1873-2402
DOI:10.1016/j.biopsych.2024.10.020

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