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The default network dominates neural responses to evolving movie stories
by
Bzdok, Danilo
, Holmes, Avram J.
, Kopal, Jakub
, Misic, Bratislav
, Finn, Emily S.
, Mitsis, Georgios D.
, Yang, Enning
, Milisav, Filip
in
59/36
/ 631/378/116/2393
/ 631/378/1457/1601
/ 631/378/2649/1723
/ Algorithms
/ Amygdala
/ Brain
/ Brain - physiology
/ Brain Mapping - methods
/ Consciousness
/ Humanities and Social Sciences
/ Humans
/ Learning algorithms
/ Machine learning
/ Magnetic Resonance Imaging
/ Motion Pictures
/ multidisciplinary
/ Narratives
/ Natural language processing
/ Science
/ Science (multidisciplinary)
/ Semantics
2023
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The default network dominates neural responses to evolving movie stories
by
Bzdok, Danilo
, Holmes, Avram J.
, Kopal, Jakub
, Misic, Bratislav
, Finn, Emily S.
, Mitsis, Georgios D.
, Yang, Enning
, Milisav, Filip
in
59/36
/ 631/378/116/2393
/ 631/378/1457/1601
/ 631/378/2649/1723
/ Algorithms
/ Amygdala
/ Brain
/ Brain - physiology
/ Brain Mapping - methods
/ Consciousness
/ Humanities and Social Sciences
/ Humans
/ Learning algorithms
/ Machine learning
/ Magnetic Resonance Imaging
/ Motion Pictures
/ multidisciplinary
/ Narratives
/ Natural language processing
/ Science
/ Science (multidisciplinary)
/ Semantics
2023
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The default network dominates neural responses to evolving movie stories
by
Bzdok, Danilo
, Holmes, Avram J.
, Kopal, Jakub
, Misic, Bratislav
, Finn, Emily S.
, Mitsis, Georgios D.
, Yang, Enning
, Milisav, Filip
in
59/36
/ 631/378/116/2393
/ 631/378/1457/1601
/ 631/378/2649/1723
/ Algorithms
/ Amygdala
/ Brain
/ Brain - physiology
/ Brain Mapping - methods
/ Consciousness
/ Humanities and Social Sciences
/ Humans
/ Learning algorithms
/ Machine learning
/ Magnetic Resonance Imaging
/ Motion Pictures
/ multidisciplinary
/ Narratives
/ Natural language processing
/ Science
/ Science (multidisciplinary)
/ Semantics
2023
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The default network dominates neural responses to evolving movie stories
Journal Article
The default network dominates neural responses to evolving movie stories
2023
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Overview
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.
How brain networks process dynamic naturalistic stimuli is not well understood. Here, the authors use machine learning algorithms to show that brain states in the default network capture the semantic aspects of an unfolding narrative during movie watching.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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