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跨精神疾病的灰质体积差异图谱:一项纳入共病障碍的新型荟萃分析的系统评价

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

作者信息

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

机构信息

Institut d'Investigacions Biomèdiques August Pi I Sunyer, Barcelona, Spain; Department of Medicine, University of Barcelona, Institute of Neuroscience, Barcelona, Spain.

Institut d'Investigacions Biomèdiques August Pi I Sunyer, Barcelona, Spain; Department of Medicine, University of Barcelona, Institute of Neuroscience, Barcelona, Spain.

出版信息

Biol Psychiatry. 2025 Jul 1;98(1):76-90. doi: 10.1016/j.biopsych.2024.10.020. Epub 2024 Nov 2.

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.

摘要

背景

精神障碍患者与对照参与者之间的局部灰质体积(GMV)差异可能会因共病而混淆。为了厘清特定障碍的GMV相关性,我们采用了一种明确对共病进行建模的新方法,开展了一项大规模多障碍荟萃分析。

方法

我们系统回顾了截至2023年1月在PubMed和Scopus上索引的基于体素的形态学研究,这些研究比较了患有主要精神障碍(神经性厌食症、精神分裂症谱系、焦虑症、双相情感障碍、重度抑郁症、强迫症和创伤后应激障碍,以及注意力缺陷/多动障碍、自闭症谱系障碍和边缘性人格障碍)的成年人与对照参与者。两位作者独立提取数据,并使用纽卡斯尔-渥太华量表评估质量。我们通过以下方式得出每种障碍的GMV相关性:1)一项同时考虑所有共病精神障碍的多障碍荟萃分析;2)对每种障碍分别进行的标准荟萃分析,其中忽略了共病。我们评估了两种方法中改变的程度、强度(效应大小)和特异性(障碍间相关性和跨诊断改变)。

结果

我们纳入了433项研究(499个数据集),涉及19718名患者和16441名对照参与者(51%为女性,年龄20 - 67岁)。我们使用两种方法为每种障碍提供了GMV相关性图谱。考虑共病的新方法产生的GMV相关性更具局灶性且特定于障碍(障碍间相关性更低,跨诊断异常更少)。

结论

这项工作提供了主要精神障碍中GMV相关性最全面的图谱。对共病进行建模产生了更具体的相关性,支持了这种方法的有效性。图谱的NIfTI地图可在线获取。

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