Social intelligence mediates the protective role of resting-state brain activity in the social cognition network against social anxiety

Author:

Ma Yingqiao1,Zou Yuhan2,Liu Xiqin1,Chen Taolin13,Kemp Graham J4,Gong Qiyong5ORCID,Wang Song13

Affiliation:

1. Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular lmaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University , Chengdu , China

2. Department of Psychiatry, University of Cambridge , Cambridgeshire , United Kingdom

3. Research Unit of Psychoradiology, Chinese Academy of Medical Sciences , Chengdu , China

4. Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool , Liverpool L69 3BX , United Kingdom

5. Department of Radiology, West China Xiamen Hospital of Sichuan University , Xiamen , China

Abstract

Abstract Background Social intelligence refers to an important psychosocial skill set encompassing an array of abilities, including effective self-expression, understanding of social contexts, and acting wisely in social interactions. While there is ample evidence of its importance in various mental health outcomes, particularly social anxiety, little is known on the brain correlates underlying social intelligence and how it can mitigate social anxiety. Objective This research aims to investigate the functional neural markers of social intelligence and their relations to social anxiety. Methods Data of resting-state functional magnetic resonance imaging and behavioral measures were collected from 231 normal students aged 16 to 20 years (48% male). Whole-brain voxel-wise correlation analysis was conducted to detect the functional brain clusters related to social intelligence. Correlation and mediation analyses explored the potential role of social intelligence in the linkage of resting-state brain activities to social anxiety. Results Social intelligence was correlated with neural activities (assessed as the fractional amplitude of low-frequency fluctuations, fALFF) among two key brain clusters in the social cognition networks: negatively correlated in left superior frontal gyrus (SFG) and positively correlated in right middle temporal gyrus. Further, the left SFG fALFF was positively correlated with social anxiety; brain–personality–symptom analysis revealed that this relationship was mediated by social intelligence. Conclusion These results indicate that resting-state activities in the social cognition networks might influence a person's social anxiety via social intelligence: lower left SFG activity → higher social intelligence → lower social anxiety. These may have implication for developing neurobehavioral interventions to mitigate social anxiety.

Funder

Key Research and Development Program of Sichuan Province

Publisher

Oxford University Press (OUP)

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