期刊
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE
卷 13, 期 2, 页码 233-244出版社
OXFORD UNIV PRESS
DOI: 10.1093/scan/nsy001
关键词
functional magnet resonance imaging; emotional intelligence; fusiform face area; temporal voice area; voxel-based morphometry
资金
- Deutsche Forschungsgemeinschaft
- Open Access Publishing Fund of University of Tuebingen
Facial expressions and voice modulations are among the most important communicational signals to convey emotional information. The ability to correctly interpret this information is highly relevant for successful social interaction and represents an integral component of emotional competencies that have been conceptualized under the term emotional intelligence. Here, we investigated the relationship of emotional intelligence as measured with the Salovey-Caruso-Emotional-Intelligence-Test (MSCEIT) with cerebral voice and face processing using functional and structural magnetic resonance imaging. MSCEIT scores were positively correlated with increased voice-sensitivity and gray matter volume of the insula accompanied by voice-sensitivity enhanced connectivity between the insula and the temporal voice area, indicating generally increased salience of voices. Conversely, in the face processing system, higher MSCEIT scores were associated with decreased face-sensitivity and gray matter volume of the fusiform face area. Taken together, these findings point to an alteration in the balance of cerebral voice and face processing systems in the form of an attenuated face-vs-voice bias as one potential factor underpinning emotional intelligence.
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