Neurobiological correlates of emotional intelligence in voice and face perception networks.

ABSTRACT: 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 tempo

SUBMITTER: Karle KN 

PROVIDER: S-EPMC5827352 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature