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自主特异性的基本情绪:来自模式分类和聚类分析的证据。

Autonomic specificity of basic emotions: evidence from pattern classification and cluster analysis.

机构信息

Virginia Polytechnic Institute and State University, Blacksburg, VA 24061-0436, USA.

出版信息

Biol Psychol. 2010 Jul;84(3):463-73. doi: 10.1016/j.biopsycho.2010.03.014. Epub 2010 Mar 23.

DOI:10.1016/j.biopsycho.2010.03.014
PMID:20338217
Abstract

Autonomic nervous system (ANS) specificity of emotion remains controversial in contemporary emotion research, and has received mixed support over decades of investigation. This study was designed to replicate and extend psychophysiological research, which has used multivariate pattern classification analysis (PCA) in support of ANS specificity. Forty-nine undergraduates (27 women) listened to emotion-inducing music and viewed affective films while a montage of ANS variables, including heart rate variability indices, peripheral vascular activity, systolic time intervals, and electrodermal activity, were recorded. Evidence for ANS discrimination of emotion was found via PCA with 44.6% of overall observations correctly classified into the predicted emotion conditions, using ANS variables (z=16.05, p<.001). Cluster analysis of these data indicated a lack of distinct clusters, which suggests that ANS responses to the stimuli were nomothetic and stimulus-specific rather than idiosyncratic and individual-specific. Collectively these results further confirm and extend support for the notion that basic emotions have distinct ANS signatures.

摘要

自主神经系统(ANS)在当代情感研究中的情绪特异性仍然存在争议,并且在数十年的研究中得到了混合的支持。本研究旨在复制和扩展心理生理学研究,该研究使用多元模式分类分析(PCA)来支持 ANS 的特异性。49 名本科生(27 名女性)在听情绪诱发音乐和观看情感电影的同时,记录了包括心率变异性指数、外周血管活动、收缩时间间隔和皮肤电活动在内的一系列自主神经变量。通过 PCA 发现了自主神经系统对情绪的区分,有 44.6%的总观察结果被正确分类到预测的情绪条件中,使用自主神经系统变量(z=16.05,p<.001)。对这些数据的聚类分析表明,缺乏明显的聚类,这表明自主神经系统对刺激的反应是同型的和刺激特异性的,而不是特质的和个体特异性的。总的来说,这些结果进一步证实并扩展了这样一种观点,即基本情绪具有独特的自主神经系统特征。

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