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DOI 10.1016/j.biopsych.2024.10.020

Медицинская библиотека · Biological psychiatry · 2024

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

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

СтатьяСистематический обзорМетаанализПеревод в очереди

Аннотация

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.

Для цитирования: Fortea Lydia, Ortuño Maria, De Prisco Michele, Oliva Vincenzo, Albajes-Eizagirre Anton, Fortea Adriana, Madero Santiago, Solanes Aleix, Vilajosana Enric, Yao Yuanwei, Del Fabro Lorenzo, Solé Eduard, Verdolini Norma, Farré-Colomés Alvar, Serra-Blasco Maria, Picó-Pérez Maria, Lukito Steve, Wise Toby, Carlisi Christina, Arnone Danilo, Kempton Matthew J, Hauson Alexander Omar, Wollman Scott, Soriano-Mas Carles, Rubia Katya, Norman Luke, Fusar-Poli Paolo, Mataix-Cols David, Valentí Marc, Via Esther, Cardoner Narcis, Solmi Marco, Zhang Jintao, Pan Pinglei, Shin Jae Il, Fullana Miquel A, Vieta Eduard, Radua Joaquim. Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders.. Biological psychiatry. 2024. DOI: 10.1016/j.biopsych.2024.10.020.

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