摘要
社交焦虑者在情绪加工和社会意图理解方面均可能存在异常,以负向认知偏差为代表,但目前尚缺乏针对社交焦虑的情绪与社会意图理解共性机制的研究和临床预测模型。本项目计划综合运用行为实验、功能磁共振成像和计算建模,基于情绪识别与社会意图推理的生物运动范式,并结合面部表情识别任务,系统考察社交焦虑者在情绪加工和社会意图加工中的负向认知偏差机制,并构建社交焦虑症状的预测模型,检验精神疾病背后的多维数据关联,以及多维数据对社交焦虑临床症状的客观分类和预测的作用。
Social anxiety disorder(SAD)is associated with abnormal features in both emotion processing and social intention inference.However,there is a lack of research and clinical predictive models for the common mechanisms of emotion processing and social intention inference underlying social anxiety.The current project aims to use a combination of behavioral experiments,functional magnetic resonance imaging,and computational modeling to systematically examine the mechanisms of negative cognitive biases in SAD.Based on classic biological motion paradigms targeting emotion processing and social intention inference,combining the facial expressions,we aim to establish predictive models of SAD clinical symptoms based on multi-dimensional data.This project has the prospect of revealing the psychopathology underlying SAD,examining the association between behavioral and neuroimaging data underlying mental disorders,and promoting objective classification and prediction of mental disorders.
作者
彭玉佳
王愉茜
路迪
PENG Yujia;WANG Yuxi;LU Di(School of Psychological and Cognitive Sciences,Beijing Key Laboratory of Behavior and Mental Health,Peking University;Institute for Artificial Intelligence,Peking University,Beijing 100871,China;National Key Laboratory of General Artificial Intelligence,Beijing Institute for General Artificial Intelligence(BIGAI),Beijing 100080,China)
出处
《心理科学进展》
CSSCI
CSCD
北大核心
2023年第6期905-914,共10页
Advances in Psychological Science
基金
国家自然科学基金青年科学基金项目(32200854)。
关键词
情绪识别
社交焦虑
社会意图理解
生物运动
脑影像
认知计算
emotion perception
social anxiety
social intention inference
biological motion
brain imaging
cognitive modeling