Predicting vocal emotion expressions from the human brain
Predicting vocal emotion expressions from the human brain
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DOI：
10.1002/hbm.22041
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发表时间：
2013-08-01
影响因子：
4.8
通讯作者：
Haynes, John-D.
中科院分区：
文献类型：
--
作者：
Kotz, Sonja A.;Kalberlah, Christian;Haynes, John-D.
语音是情感信息的重要载体。然而，关于不同的声音情感表达是如何在接受者的大脑中识别的，人们知之甚少。我们使用功能磁共振成像数据的多变量模式分析来调查受试者的局部大脑活动模式在多大程度上代表了不同的声音情感表达。特定的声音情感表达被编码在右侧的额盖-颞叶网络中，该网络包括已知的辅助段上声学过程的临时区域和已知的支持情绪评估的额盖区域，此外，在覆盖顺序过程的左侧颞叶-小脑区域中。特别是右下额叶区域，被发现可以区分不同的情绪表达。目前的分析揭示了声音情感在一个共享的皮质网络中编码，反映在不同的大脑活动模式中。这些结果为在人类大脑信号水平上感知不同声音情感表达的理论和经验争议提供了新的线索。Hum Brain Mapp，2013年。(C)2012年威利期刊公司。
Speech is an important carrier of emotional information. However, little is known about how different vocal emotion expressions are recognized in a receiver's brain. We used multivariate pattern analysis of functional magnetic resonance imaging data to investigate to which degree distinct vocal emotion expressions are represented in the receiver's local brain activity patterns. Specific vocal emotion expressions are encoded in a right fronto-operculo-temporal network involving temporal regions known to subserve suprasegmental acoustic processes and a fronto-opercular region known to support emotional evaluation, and, moreover, in left temporo-cerebellar regions covering sequential processes. The right inferior frontal region, in particular, was found to differentiate distinct emotional expressions. The present analysis reveals vocal emotion to be encoded in a shared cortical network reflected by distinct brain activity patterns. These results shed new light on theoretical and empirical controversies about the perception of distinct vocal emotion expressions at the level of large-scale human brain signals. Hum Brain Mapp, 2013. (c) 2012 Wiley Periodicals, Inc.