心理科学进展2025，Vol.33Issue(8)：1267-1274,8.DOI:10.3724/SP.J.1042.2025.1267
贝叶斯框架下社交焦虑的社会认知特性
Investigating social cognitive characteristics of social anxiety within the Bayesian framework
摘要
Abstract
Social anxiety disorder(SAD)is among the most common anxiety disorders,marked by overwhelming fear and avoidance of social behaviors and social scenarios,and debilitates patients' lives and work.Previous studies have provided ample evidence of dysregulated social cognition in social anxiety,such as negative cognitive biases,demonstrating a negative processing of social information.However,the factors driving the dysregulated social cognition remain unclear,impeding the elucidation of the underlying computational neural mechanisms of social anxiety symptoms,and guiding personalized interventions.Within the Bayesian framework,the current project proposed that the negative cognitive biases phenomenon may stem from negative prior expectations.We will use psychophysics experiments,electroencephalogram(EEG),functional magnetic resonance imaging(fMRI),computational modeling,and machine learning to comprehensively investigate the characteristics and dynamic patterns of negative cognitive biases among individuals with social anxiety traits.This project has the promise to reveal cognitive neural mechanisms underlying dysregulated social cognition,potentially guiding future personalized interventions for social anxiety.关键词
社会认知/社交焦虑/认知计算/认知神经机制/脑成像Key words
social cognition/social anxiety/cognitive modeling/cognitive neural mechanisms/brain imaging分类
社会科学引用本文复制引用
彭玉佳,王愉茜,鞠芊芊,刘峰,徐佳..贝叶斯框架下社交焦虑的社会认知特性[J].心理科学进展,2025,33(8):1267-1274,8.基金项目
国家自然科学基金面上基金项目(32471151). （32471151）
