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Shared and distinctive brain networks underlying trait and state rumination.

Luqing Wei1, Hui Dong2, Fanxi Ding3

  • 1Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China; School of Psychology, Jiangxi Normal University, Nanchang, China.

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Trait and state rumination have distinct neural fingerprints, involving the default mode network and other brain networks. Shared mechanisms exist, offering potential therapeutic targets for negative affect.

Keywords:
Connectome-based predictive modelingFunctional connectivityState ruminationTrait rumination

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Area of Science:

  • Neuroscience
  • Psychology
  • Cognitive Science

Background:

  • Trait and state rumination exacerbate negative affect but have unclear neural underpinnings.
  • Understanding distinct and shared neural substrates is crucial for emotional reactivity research.

Purpose of the Study:

  • Identify neural fingerprints of trait and state rumination using functional near-infrared spectroscopy (fNIRS).
  • Investigate shared and distinct functional connectivity (FC) profiles using connectome-based predictive modeling (CPM).

Main Methods:

  • Utilized fNIRS and CPM to analyze functional connectivity.
  • CPM identified FC patterns predicting trait and state rumination.

Main Results:

  • Trait rumination associated with broad FC within and between Default Mode Network (DMN), Dorsal Attention Network (DAN), Control Network (CN), and Salience Network (SN).
  • State rumination linked to FC primarily between DMN and CN.
  • Predictive features generalized between trait and state rumination.

Conclusions:

  • Both DMN and non-DMN systems are vital for rumination.
  • Trait rumination shows broader FC, but shared mechanisms exist between trait and state forms.
  • Identified neural fingerprints may inform therapeutic interventions for rumination-related negative affect.