Title |
Functional connectivity dynamics during film viewing reveal common networks for different emotional experiences
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Published in |
Cognitive, Affective, & Behavioral Neuroscience, May 2016
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DOI | 10.3758/s13415-016-0425-4 |
Pubmed ID | |
Authors |
Gal Raz, Alexandra Touroutoglou, Christine Wilson-Mendenhall, Gadi Gilam, Tamar Lin, Tal Gonen, Yael Jacob, Shir Atzil, Roee Admon, Maya Bleich-Cohen, Adi Maron-Katz, Talma Hendler, Lisa Feldman Barrett |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 22% |
Chile | 1 | 11% |
Korea, Republic of | 1 | 11% |
Norway | 1 | 11% |
Finland | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 89% |
Scientists | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | <1% |
Austria | 1 | <1% |
Australia | 1 | <1% |
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Unknown | 162 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 36 | 22% |
Researcher | 29 | 17% |
Student > Master | 21 | 13% |
Student > Bachelor | 12 | 7% |
Student > Doctoral Student | 9 | 5% |
Other | 30 | 18% |
Unknown | 30 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 52 | 31% |
Neuroscience | 37 | 22% |
Agricultural and Biological Sciences | 9 | 5% |
Medicine and Dentistry | 5 | 3% |
Computer Science | 4 | 2% |
Other | 16 | 10% |
Unknown | 44 | 26% |