Abstract: Objective This study aims to evaluate the relationship between aggressive behavior, impulsivity, and the ability to perceive emotional facial expressions in college students. Methods A total of 100 undergraduate students were recruited and assessed using the Modified Overt Aggression Scale （MOAS）, the Buss-Perry Aggression Questionnaire, and the Barratt Impulsivity Scale-11（BIS-11）, to measure behavioral aggression, aggression traits, and impulsivity, respectively. Based on MOAS scores, participants were divided into an aggression group and a control group. An emotional face recognition paradigm was developed using E-Prime 2.0 and the Chinese facial affective picture system to assess participants’ perception of emotional facial expressions. Group comparisons were conducted using t-tests and repeated-measures ANOVA. Results The results showed that the number of errors in recognizing negative emotional faces （6.32±3.21） was significantly higher than those in recognizing positive （4.42±3.08, F=13.966, P<0.05） and neutral faces （4.24±2.90, F=13.966, P<0.05）. In the aggression group, BIS-11 total scores were negatively correlated with reaction times for negative emotional faces （r=-0.256, P<0.05). Additionally, the aggression group   （1 826.05 ms±768.95 ms） exhibited significantly shorter reaction times for negative emotional faces compared to the control group （2 315.77 ms±1 623.50 ms, F=3.96, P<0.05）. Conclusion These findings suggest that in college students, the ability to perceive negative emotional facial expressions is negatively associated with aggressive behavior and impulsivity. Enhancing the recognition of negative emotional faces may contribute to the reduction of aggressive behaviors in this population.

Key words:  forensic psychiatry, emotional face perception, aggressive behavior, impulsivity

摘要： 目的 评估大学生攻击行为与冲动性及其与大学生情绪面孔知觉能力的关系。 方法 招募在校大学生100名，采用修订版外显攻击行为量表（Modified Overt Aggression Scale，MOAS）、Buss-Perry攻击量表及Barratt冲动量表第十一版分别评估受试者攻击行为、攻击特质与冲动性。根据MOAS得分将受试者分为攻击组与对照组。使用E-Prime 2.0及中国人情感面孔图片系统设计情绪面孔识别范式。采用t检验及重复测量方差分析进行组间比较。结果 大学生识别负性情绪面孔的错误数（6.32个±3.21个）与识别正性情绪面孔（4.42个±3.08个，F=13.966，P<0.05）和中性情绪面孔（4.24个±2.90个，F=13.966，P<0.05）错误个数的差异均具有统计学意义。攻击组BIS-11总分与负性情绪面孔反应时间呈负相关（r=-0.256，P<0.05）。攻击组（1 826.05 ms±768.95 ms）与对照组间（2 315.77 ms±1 623.50 ms）负性情绪面孔反应时间的差异具有统计学意义（F=3.96，P<0.05）。结论 大学生负性情绪面孔知觉能力与攻击行为及冲动性负相关，提高负性情绪面孔知觉能力，将有助于减少攻击行为的发生。

关键词: 法医精神病学, 情绪面孔知觉, 攻击行为, 冲动性