Literature DB >> 34988779

Functional connectivity dynamics as a function of the fluctuation of tension during film watching.

Yadi Sun1, Junji Ma1, Miner Huang1, Yangyang Yi1, Yiheng Wang2, Yue Gu1, Ying Lin1, Liman Man Wai Li3, Zhengjia Dai4.   

Abstract

To advance the understanding of the dynamic relationship between brain activities and emotional experiences, we examined the neural patterns of tension, a unique emotion that highly depends on how an event unfolds. Specifically, the present study explored the temporal relationship between functional connectivity patterns within and between different brain functional modules and the fluctuation in tension during film watching. Due to the highly contextualized and time-varying nature of tension, we expected that multiple neural networks would be involved in the dynamic tension experience. Using the neuroimaging data of 546 participants, we conducted a dynamic brain analysis to identify the intra- and inter-module functional connectivity patterns that are significantly correlated with the fluctuation of tension over time. The results showed that the inter-module connectivity of cingulo-opercular network, fronto-parietal network, and default mode network is involved in the dynamic experience of tension. These findings demonstrate a close relationship between brain functional connectivity patterns and emotional dynamics, which supports the importance of functional connectivity dynamics in understanding our cognitive and emotional processes.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Brain network; Emotion dynamics; Functional connectivity; Natural viewing; Tension

Mesh:

Year:  2022        PMID: 34988779     DOI: 10.1007/s11682-021-00593-7

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  63 in total

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  1 in total

1.  Dynamic and stationary brain connectivity during movie watching as revealed by functional MRI.

Authors:  Xin Di; Zhiguo Zhang; Ting Xu; Bharat B Biswal
Journal:  Brain Struct Funct       Date:  2022-06-29       Impact factor: 3.748

  1 in total

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