Literature DB >> 27142636

Functional connectivity dynamics during film viewing reveal common networks for different emotional experiences.

Gal Raz1,2,3, Alexandra Touroutoglou4,5, Christine Wilson-Mendenhall1,5,6, Gadi Gilam1,7, Tamar Lin1,7, Tal Gonen1,7, Yael Jacob1,8, Shir Atzil5,6, Roee Admon1,9, Maya Bleich-Cohen1, Adi Maron-Katz1,2, Talma Hendler1,2,7, Lisa Feldman Barrett10,11,12.   

Abstract

Recent theoretical and empirical work has highlighted the role of domain-general, large-scale brain networks in generating emotional experiences. These networks are hypothesized to process aspects of emotional experiences that are not unique to a specific emotional category (e.g., "sadness," "happiness"), but rather that generalize across categories. In this article, we examined the dynamic interactions (i.e., changing cohesiveness) between specific domain-general networks across time while participants experienced various instances of sadness, fear, and anger. We used a novel method for probing the network connectivity dynamics between two salience networks and three amygdala-based networks. We hypothesized, and found, that the functional connectivity between these networks covaried with the intensity of different emotional experiences. Stronger connectivity between the dorsal salience network and the medial amygdala network was associated with more intense ratings of emotional experience across six different instances of the three emotion categories examined. Also, stronger connectivity between the dorsal salience network and the ventrolateral amygdala network was associated with more intense ratings of emotional experience across five out of the six different instances. Our findings demonstrate that a variety of emotional experiences are associated with dynamic interactions of domain-general neural systems.

Entities:  

Keywords:  Amygdala; Emotions; Network cohesion; Stimulus-induced functional connectivity

Mesh:

Substances:

Year:  2016        PMID: 27142636     DOI: 10.3758/s13415-016-0425-4

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.282


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