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Emotion Regulation and Complex Brain Networks: Association Between Expressive Suppression and Efficiency in the
Junhao Pan1, Liying Zhan1, ChuanLin Hu1
1Department of Psychology, Sun Yat-sen University, Guangzhou, China.
Frontiers in Human Neuroscience
|April 18, 2018
Summary
Emotion regulation strategies like expressive suppression are linked to how efficiently brain networks function. This study reveals how expressive suppression relates to network efficiency in key brain regions.
Area of Science:
- Neuroscience
- Cognitive Psychology
Background:
- Emotion regulation (ER) involves modulating emotional responses.
- Brain connectivity research reveals network organization using graph theory.
- Global efficiency measures information exchange within brain networks.
Purpose of the Study:
- To investigate the association between trait emotion regulation strategies and global brain network efficiency.
- To explore the neural substrates underlying expressive suppression (ES) and cognitive reappraisal (CR).
Main Methods:
- Utilized resting-state functional magnetic resonance imaging (fMRI).
- Applied graph-theory analysis to assess brain network global efficiency.
- Employed structural equation modeling (SEM) to analyze trait ER measures (ES and CR) and network efficiency.
Main Results:
- Expressive suppression (ES) showed a significant association with global efficiency in the fronto-parietal network.
- ES was also reliably linked to global efficiency within the default-mode network.
- No significant associations were found for cognitive reappraisal (CR) with global efficiency.
Conclusions:
- Expressive suppression is associated with altered global efficiency in specific brain networks.
- Findings highlight the relationship between ER strategies and the functional organization of brain networks.
- This research advances understanding of the neural underpinnings of emotion regulation.
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