Abnormal dynamic functional connectivity in different gray matter volume subtypes of patients with major psychiatric disorders

IF 2.4 4区医学 Q3 CLINICAL NEUROLOGY

Psychiatry Research: Neuroimaging Pub Date : 2026-04-01 Epub Date: 2026-01-29 DOI:10.1016/j.pscychresns.2026.112162

Shancong Li , Weiqi Qin , Siyi Wei , Bo Li , Jiahui Leng , Jian Xiao , Yunhui Chen , Tinghuizi Shang , Tong Li , Yu Jiao , Zengyan Yu , Wanqiang Liu , Chengchong Li , Na Wang , Lu Kang , Danhe Sun , Yuhuan Zhao , Sidi Lu , Weidong Sun , Ping Li

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引用次数: 0

Abstract

Background

Major psychiatric disorders (MPDs), including schizophrenia (SZ), bipolar disorder (BD), major depressive disorder (MDD), and obsessive-compulsive disorder (OCD), have been classified as distinct diagnostic categories based on clinical symptoms. However, neuroimaging studies suggest that these MPDs share similar brain structure and functional characteristics. The present study aim to explore potential subtypes of MPDs based on gray matter volume (GMV) in a trans-diagnostic sample.

Methods

We involved 84 patients with MPDs (22 SZ, 22 BD, 18 MDD, 22 OCD) and 39 healthy controls (HCs). Voxel-based morphometry (VBM) and dynamic functional connectivity (dFC) analyses were used to investigate the GMV and the dynamic characteristics of the whole brain at rest. The heterogeneity through discriminant analysis (HYDRA) approach was applied to identify the subtypes of MPDs.

Results

Two distinct subtypes were identified, subtype-I (S-I) showed increased GMVs in subcortical brain regions, while subtype-II (S-II) displayed decreased GMVs in cerebral cortex regions. Both S-I and S-II patients showed reduced dFC values within the connected edges at rest. The negative correlation between total GMVs and disease duration were observed in S-II patients.

Conclusions

The present results may contribute to understand the pathogenesis and biological classification of MPDs.

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重性精神障碍患者不同灰质体积亚型动态功能连接异常

背景：重度精神障碍（MPDs），包括精神分裂症（SZ）、双相情感障碍（BD）、重度抑郁症（MDD）和强迫症（OCD），已经根据临床症状被划分为不同的诊断类别。然而，神经影像学研究表明，这些mpd具有相似的大脑结构和功能特征。本研究旨在基于跨诊断样本的灰质体积（GMV）来探索MPDs的潜在亚型。方法：我们纳入84例MPDs患者（22例SZ， 22例BD， 18例MDD， 22例OCD）和39例健康对照（hc）。采用基于体素的形态学（VBM）和动态功能连通性（dFC）分析研究静息时全脑的GMV和动态特征。采用异质性判别分析（HYDRA）方法对mpd亚型进行鉴定。结果：鉴定出两种不同的亚型，亚型i （S-I）表现为皮质下脑区gmv升高，亚型ii （S-II）表现为大脑皮层区gmv降低。S-I和S-II患者在休息时均显示连接边缘内的dFC值降低。在S-II患者中，总gmv与病程呈负相关。结论：本研究结果有助于了解MPDs的发病机制和生物学分类。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Psychiatry Research: Neuroimaging 医学-精神病学

CiteScore

3.80

自引率

0.00%

发文量

审稿时长

22.5 weeks

期刊介绍： The Neuroimaging section of Psychiatry Research publishes manuscripts on positron emission tomography, magnetic resonance imaging, computerized electroencephalographic topography, regional cerebral blood flow, computed tomography, magnetoencephalography, autoradiography, post-mortem regional analyses, and other imaging techniques. Reports concerning results in psychiatric disorders, dementias, and the effects of behaviorial tasks and pharmacological treatments are featured. We also invite manuscripts on the methods of obtaining images and computer processing of the images themselves. Selected case reports are also published.