期刊
EMOTION REVIEW
卷 6, 期 2, 页码 160-174出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/1754073913512519
关键词
central nervous system; model comparison; autonomic nervous system; multivariate pattern classification; emotion specificity
资金
- NIDA NIH HHS [R01 DA027802, R01 DA014094] Funding Source: Medline
- NIMH NIH HHS [R21 MH098149] Funding Source: Medline
Characterizing how activity in the central and autonomic nervous systems corresponds to distinct emotional states is one of the central goals of affective neuroscience. Despite the ease with which individuals label their own experiences, identifying specific autonomic and neural markers of emotions remains a challenge. Here we explore how multivariate pattern classification approaches offer an advantageous framework for identifying emotion-specific biomarkers and for testing predictions of theoretical models of emotion. Based on initial studies using multivariate pattern classification, we suggest that central and autonomic nervous system activity can be reliably decoded into distinct emotional states. Finally, we consider future directions in applying pattern classification to understand the nature of emotion in the nervous system.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据