Evidence map›Paper›PMID 33813007›Full record

ArticleNeuroImage2021

Movie-watching outperforms rest for functional connectivity-based prediction of behavior.

Emily S Finn, Peter A Bandettini

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 1 pooled it
23.9field-weighted citation impact, top 1% of its field
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

172 citing papers in PubMed, 1 synthesis or guideline pooled it, 294 citations in OpenAlex.

  1. Pooled it
  2. Individualized Network Topography in Pre-adolescent Children and Adults Using Naturalistic Precision fMRI.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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  6. Peer-guided movie neurofeedback to facilitate recovery in opioid use disorder.medRxiv : the preprint server for health sciences · 2026
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112 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Emily S FinnSection on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States. Electronic address: emily.s.finn@dartmouth.edu.
Peter A BandettiniSection on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States.
Dartmouth College · USNational Institute of Mental Health · US

Funding

Functional MRI Method DevelopmentZIAMH002783 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BANDETTINI, PETER · 2009 to 2025
$38.4M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Linking brain activity during naturalistic tasks to individual phenotypes on the depression spectrumR00MH120257 · NIMH · DARTMOUTH COLLEGE · PI FINN, EMILY SUZANNE · 2020 to 2022
$747k
Intramural NIH HHS ZIA MH002783NIMH NIH HHS R00 MH120257NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

A major goal of human neuroscience is to relate differences in brain function to differences in behavior across people. Recent work has established that whole-brain functional connectivity patterns are relatively stable within individuals and unique across individuals, and that features of these patterns predict various traits. However, while functional connectivity is most often measured at rest, certain tasks may enhance individual signals and improve sensitivity to behavior differences. Here, we show that compared to the resting state, functional connectivity measured during naturalistic viewing-i.e., movie watching-yields more accurate predictions of trait-like phenotypes in the domains of both cognition and emotion. Traits could be predicted using less than three minutes of data from single video clips, and clips with highly social content gave the most accurate predictions. Results suggest that naturalistic stimuli amplify individual differences in behaviorally relevant brain networks.

Indexed as

ConnectomeMotion PicturesSocial PerceptionAdultAuditory PerceptionCognitive AgingEmotionsEye-Tracking TechnologyFemaleHumansIndividualityMagnetic Resonance ImagingMaleNerve NetPersonalityVisual Perception

Identifiers

PMID33813007
PMCPMC8204673
OpenAlexW3151549332

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.