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A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination

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Title
A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination
Author(s)
Jungwoo Kim; Andrews-Hanna, Jessica R.; Eisenbarth, Hedwig; Byeol Kim Lux; Hong Ji Kim; Eunjin Lee; Lindquist, Martin A.; Losin, Elizabeth A. Reynolds; Wager, Tor D.; Choong-Wan Woo
Publication Date
2023-06
Journal
Nature Communications, v.14, no.1
Publisher
Nature Research
Abstract
Rumination is a cognitive style characterized by repetitive thoughts about one’s negative internal states and is a common symptom of depression. Previous studies have linked trait rumination to alterations in the default mode network, but predictive brain markers of rumination are lacking. Here, we adopt a predictive modeling approach to develop a neuroimaging marker of rumination based on the variance of dynamic resting-state functional connectivity and test it across 5 diverse subclinical and clinical samples (total n = 288). A whole-brain marker based on dynamic connectivity with the dorsomedial prefrontal cortex (dmPFC) emerges as generalizable across the subclinical datasets. A refined marker consisting of the most important features from a virtual lesion analysis further predicts depression scores of adults with major depressive disorder (n = 35). This study highlights the role of the dmPFC in trait rumination and provides a dynamic functional connectivity marker for rumination. © 2023, The Author(s).
URI
https://pr.ibs.re.kr/handle/8788114/13581
DOI
10.1038/s41467-023-39142-9
ISSN
2041-1723
Appears in Collections:
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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