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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
  • , Choong Wan Woo
  • Institute for Basic Science
  • Sungkyunkwan University
  • University of Arizona
  • Victoria University of Wellington
  • Dartmouth College
  • Johns Hopkins University
  • University of Miami
  • Pennsylvania State University

Research output: Contribution to journal › Article › peer-review

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.

Original languageEnglish
Article number3540
JournalNature Communications
Volume14
Issue number1
DOIs
StatePublished - Dec 2023

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