Network localization of brain structural and functional abnormalities in association with rumination

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Authors: Min She, Yunwei Sun, Zhiqing Yan, Kelong Li, Xinyan Han, Huanhuan Cai, Yongqiang Yu, Jiajia Zhu
Cited by: 3
References: 103

Abstract

BACKGROUND: Rumination, a recurrent and passive focus of thoughts on depressed mood and its possible causes and consequences, constitutes a characteristic feature of major depressive disorder (MDD). Despite considerable recent efforts to map neuropsychiatric symptoms to specific brain networks, little attention has been paid to network localization of rumination. METHODS: We initially conducted a systematic review of 49 published neuroimaging studies to identify rumination-related brain structural and functional alterations. Subsequently, by integrating these affected brain locations with large-scale discovery (1113 healthy individuals) and validation (1093 healthy individuals and 255 MDD patients) resting-state functional magnetic resonance imaging datasets, we applied novel functional connectivity network mapping to construct 3 rumination networks corresponding to different imaging modalities. RESULTS: The rumination gray matter volume abnormality network comprised widely distributed brain regions, primarily involving the ventral attention, subcortical, frontoparietal, limbic, somatomotor, and dorsal attention networks. The resting-state activity abnormality network mainly implicated the default network. The task-induced activation abnormality network was similar to the gray matter volume abnormality network, but the spatial extent was much smaller, chiefly involving the ventral attention and somatomotor networks. CONCLUSION: Our findings help establish an integrative framework that may explain the neurobiology of rumination from a network perspective, laying the foundation for developing reliable biomarkers and targeted treatments for rumination.

Fields of Study & Subjects

Anxiety Depression Psychometrics Treatment Cognitive Processes Mental Health Research Topics Tryptophan and brain disorders

Publication details

Journal / source
NeuroImage
Publisher
Elsevier BV
Volume
333
Pages
121929–121929
Publication date
14 April 2026
Language
EN