The default network dominates neural responses to evolving movie stories

Enning Yang, Filip Milisav, Jakub Kopal, Avram J. Holmes, Georgios D. Mitsis, Bratislav Misic, Emily S. Finn and Danilo Bzdok ()
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Enning Yang: McGill University
Filip Milisav: McGill University
Jakub Kopal: McGill University
Avram J. Holmes: Yale University
Georgios D. Mitsis: McGill University
Bratislav Misic: McGill University
Emily S. Finn: Dartmouth College
Danilo Bzdok: McGill University

Nature Communications, 2023, vol. 14, issue 1, 1-18

Abstract: Abstract Neuroscientific studies exploring real-world dynamic perception often overlook the influence of continuous changes in narrative content. In our research, we utilize machine learning tools for natural language processing to examine the relationship between movie narratives and neural responses. By analyzing over 50,000 brain images of participants watching Forrest Gump from the studyforrest dataset, we find distinct brain states that capture unique semantic aspects of the unfolding story. The default network, associated with semantic information integration, is the most engaged during movie watching. Furthermore, we identify two mechanisms that underlie how the default network liaises with the amygdala and hippocampus. Our findings demonstrate effective approaches to understanding neural processes in everyday situations and their relation to conscious awareness.

Date: 2023
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DOI: 10.1038/s41467-023-39862-y

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