Evidence map›Paper›PMID 37452058›Full record

ArticleNature communications2023

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, Danilo Bzdok

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  10. Principles of intensive human neuroimaging.Trends in neurosciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Enning YangDepartment of Biomedical Engineering, TheNeuro-Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre (BIC), McGill University, Montreal, QC, Canada.ORCID 0009-0004-1765-7911
Filip MilisavDepartment of Biomedical Engineering, TheNeuro-Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre (BIC), McGill University, Montreal, QC, Canada.ORCID 0000-0003-4685-3247
Jakub KopalDepartment of Biomedical Engineering, TheNeuro-Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre (BIC), McGill University, Montreal, QC, Canada.ORCID 0000-0002-1201-2872
Avram J HolmesDepartment of Psychology and Psychiatry, Yale University, New Haven, CT, USA.ORCID 0000-0001-6583-803X
Georgios D MitsisDepartment of Bioengineering, McGill University, Montreal, QC, Canada.
Bratislav MisicDepartment of Biomedical Engineering, TheNeuro-Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre (BIC), McGill University, Montreal, QC, Canada.ORCID 0000-0003-0307-2862
Emily S FinnDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.ORCID 0000-0001-8591-3068
Danilo BzdokDepartment of Biomedical Engineering, TheNeuro-Montreal Neurological Institute (MNI), McConnell Brain Imaging Centre (BIC), McGill University, Montreal, QC, Canada. danilo.bzdok@mcgill.ca.ORCID 0000-0003-3466-6620

Funding

Understanding Rare Genetic Variation and Disease Risk: A Global Neurogenetics InitiativeR01MH129858 · NIMH · SAINTE-JUSTINE UNIVERSITY HOSPITAL CTR · PI CARRIE E BEARDEN, Sebastien Jacquemont · 2023 to 2026
$2.4M
Investigating the impact of loneliness on brain aging and pre-symptomatic Alzheimer's disease progressionR01AG068563 · NIA · MCGILL UNIVERSITY · PI BZDOK, DANILO, SPRENG, ROBERT NATHAN · 2020 to 2024
$2.3M
Application of a Bayesian strategy to ABCD: Identification of substance use risk and COVID-19 effects on neurodevelopmentR01DA053301 · NIDA · YALE UNIVERSITY · PI Sarah Yip · 2022 to 2026
$1.6M
NIA NIH HHS R01 AG068563NIDA NIH HHS R01 DA053301NIMH NIH HHS R01 MH129858
6 · The paper itself

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.

Indexed as

Brain MappingMotion PicturesBrainConsciousnessHumansMagnetic Resonance Imaging

Identifiers

PMID37452058
PMCPMC10349102

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.