攻击行为正逐渐上升为一个突出的公共卫生问题,是否能够寻找到攻击性行为的神经标志物,成为了心理学家和神经科学家的共同关注目标。P300被认为可作为独立指标有效预测攻击性行为。本文分别介绍了P300在临床群体、犯罪群体和非临床暴力...攻击行为正逐渐上升为一个突出的公共卫生问题,是否能够寻找到攻击性行为的神经标志物,成为了心理学家和神经科学家的共同关注目标。P300被认为可作为独立指标有效预测攻击性行为。本文分别介绍了P300在临床群体、犯罪群体和非临床暴力风险群体的攻击性行为测量中的应用,评估了研究结果的一致性,并从P300指标的多角度分析及与其他ERP成分的结合、对犯罪群体进行进一步的类型细分、P300的应用场景拓展(如监内暴力预测、暴力行为干预效果评估和正常人攻击风险测量)等三个方面对未来的研究方向进行了展望。Aggressive behavior is gradually emerging as a prominent public health problem. Finding neural markers for aggressive behavior has become a common focus for psychologists and neuroscientists. The P300 is considered to be an independent indicator that can effectively predict aggressive behavior. This article introduces the application of P300 in the measurement of aggressive behavior in clinical, criminal and non-clinical violence risk groups, evaluates the consistency of research results, and looks forward to future research directions from three perspectives: multi-dimensional analysis of P300 predictors and combination with other ERP components, further subdivision of criminal groups, and expansion of the application scenarios of P300 (such as the prediction of violence in prison, the evaluation of the effectiveness of violence intervention and the measurement of the risk of aggression in normal people).展开更多
文摘攻击行为正逐渐上升为一个突出的公共卫生问题,是否能够寻找到攻击性行为的神经标志物,成为了心理学家和神经科学家的共同关注目标。P300被认为可作为独立指标有效预测攻击性行为。本文分别介绍了P300在临床群体、犯罪群体和非临床暴力风险群体的攻击性行为测量中的应用,评估了研究结果的一致性,并从P300指标的多角度分析及与其他ERP成分的结合、对犯罪群体进行进一步的类型细分、P300的应用场景拓展(如监内暴力预测、暴力行为干预效果评估和正常人攻击风险测量)等三个方面对未来的研究方向进行了展望。Aggressive behavior is gradually emerging as a prominent public health problem. Finding neural markers for aggressive behavior has become a common focus for psychologists and neuroscientists. The P300 is considered to be an independent indicator that can effectively predict aggressive behavior. This article introduces the application of P300 in the measurement of aggressive behavior in clinical, criminal and non-clinical violence risk groups, evaluates the consistency of research results, and looks forward to future research directions from three perspectives: multi-dimensional analysis of P300 predictors and combination with other ERP components, further subdivision of criminal groups, and expansion of the application scenarios of P300 (such as the prediction of violence in prison, the evaluation of the effectiveness of violence intervention and the measurement of the risk of aggression in normal people).
