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

Author

Listed:
  • Jungwoo Kim

    (Center for Neuroscience Imaging Research, Institute for Basic Science
    Sungkyunkwan University
    Sungkyunkwan University)

  • Jessica R. Andrews-Hanna

    (University of Arizona
    University of Arizona)

  • Hedwig Eisenbarth

    (Victoria University of Wellington)

  • Byeol Kim Lux

    (Center for Neuroscience Imaging Research, Institute for Basic Science
    Sungkyunkwan University
    Dartmouth College)

  • Hong Ji Kim

    (Center for Neuroscience Imaging Research, Institute for Basic Science
    Sungkyunkwan University
    Sungkyunkwan University)

  • Eunjin Lee

    (Center for Neuroscience Imaging Research, Institute for Basic Science
    Sungkyunkwan University
    Sungkyunkwan University)

  • Martin A. Lindquist

    (Johns Hopkins University)

  • Elizabeth A. Reynolds Losin

    (University of Miami
    Penn State University)

  • Tor D. Wager

    (Dartmouth College)

  • Choong-Wan Woo

    (Center for Neuroscience Imaging Research, Institute for Basic Science
    Sungkyunkwan University
    Sungkyunkwan University
    Life-inspired Neural Network for Prediction and Optimization Research Group)

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.

Suggested Citation

  • 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, 2023. "A dorsomedial prefrontal cortex-based dynamic functional connectivity model of rumination," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39142-9
    DOI: 10.1038/s41467-023-39142-9
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    References listed on IDEAS

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