Decoding ruminative reflection in healthy individuals: The role of triple network connectivity
Luqing Wei1,2, Hui Dong1, Zijing Zhang2
1Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China.
Ruminative reflection, a key emotion regulation strategy, is predicted by brain network connectivity. Specific connections within the default mode, fronto-parietal, and salience networks are crucial for this adaptive process.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Psychiatry
Background:
- Ruminative reflection is associated with improved executive control over emotional information.
- Understanding the neural basis of reflection can illuminate its adaptive role in emotion regulation.
Purpose of the Study:
- To identify resting-state functional connectivity (FC) predictors of ruminative reflection in healthy individuals.
- To investigate the neural substrates underlying adaptive reflective processes.
Main Methods:
- Employed network-based statistic (NBS)-Predict methodology.
- Analyzed resting-state functional connectivity (FC) in a healthy sample.
Main Results:
- Reflection was predicted by FC within and between the default mode network (DMN), fronto-parietal network (FPN), and salience network (SN).
- FC within the FPN and SN, and between the FPN and DMN, were significant predictors.
- The triple-network model, especially FPN-DMN coupling, strongly predicted ruminative reflection.
Conclusions:
- Enhanced executive control over internal emotional representations is integral to adaptive reflection.
- The interplay between DMN, FPN, and SN, particularly FPN-DMN coupling, is vital for reflective mechanisms.
- Identified neural fingerprints may inform understanding of reflection's role in depression recovery.
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