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

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.

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Publication Details

Journal
NeuroImage
Published
2026-04-14
DOI
https://doi.org/10.1016/j.neuroimage.2026.121929
Primary Topic
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Yunwei Sun, Jiajia Zhu, Yongqiang Yu, Kelong Li et al.
NeuroImage
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
article

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

Yunwei Sun, Jiajia Zhu, Yongqiang Yu, Kelong Li, Zhiqing Yan, Xinyan Han, Huanhuan Cai, Min She
article en

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.

NeuroImageVol. 333
Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN)
National Natural Science Foundation of China, Anhui Medical University, Natural Science Foundation of Anhui Province
Openalex Percentile: Top 27%
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
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