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

Jungwoo Kim, Jessica R. Andrews-Hanna, Hedwig Eisenbarth, Byeol Kim Lux, Hong Ji Kim, Eunjin Lee, Martin A. Lindquist, Elizabeth A. Reynolds Losin, Tor D. Wager () and Choong-Wan Woo ()
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Jungwoo Kim: Center for Neuroscience Imaging Research, Institute for Basic Science
Jessica R. Andrews-Hanna: University of Arizona
Hedwig Eisenbarth: Victoria University of Wellington
Byeol Kim Lux: Center for Neuroscience Imaging Research, Institute for Basic Science
Hong Ji Kim: Center for Neuroscience Imaging Research, Institute for Basic Science
Eunjin Lee: Center for Neuroscience Imaging Research, Institute for Basic Science
Martin A. Lindquist: Johns Hopkins University
Elizabeth A. Reynolds Losin: University of Miami
Tor D. Wager: Dartmouth College
Choong-Wan Woo: Center for Neuroscience Imaging Research, Institute for Basic Science

Nature Communications, 2023, vol. 14, issue 1, 1-14

Abstract: 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.

Date: 2023
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DOI: 10.1038/s41467-023-39142-9

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