What question did this study set out to answer?

This study aims to enhance brain-behavior mapping by predicting cognitive scores and sex using functional connectivity during naturalistic movie-watching.

June 12, 2026Communications BiologyOpen Access

A view-engage-predict framework for enhancing brain-behavior mapping with naturalistic movie-watching fMRI

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Authors

YZYunrui ZhangWenzhou Medical University EFEmily S. FinnBroad Institute MSMert R. SabuncuCornell University

Discussion

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Implication

Randomized trial reveals improved prediction of cognitive scores using movie-watching fMRI, suggesting new neuroimaging design principles.

Key Points

This study aims to enhance brain-behavior mapping by predicting cognitive scores and sex using functional connectivity during naturalistic movie-watching.
Developed a deep neural network framework for analyzing movie-watching fMRI data.
Compared functional connectivity from movie-watching to resting-state assessments.
Utilized static and sliding-window dynamic FC approaches to assess inter-subject synchrony.
Movie-watching FC outperformed resting-state FC in predicting cognitive scores.
Higher prediction accuracy correlated with increased inter-subject synchrony (p<0.05).
No significant association found for sex prediction based on movie FC.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6a2ba1ca8101cf8926f01079 https://doi.org/10.1038/s42003-026-10411-9

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June 12, 2026Communications BiologyOpen Access

A view-engage-predict framework for enhancing brain-behavior mapping with naturalistic movie-watching fMRI

View Full Paper

Ask AI

Bookmark

Authors

YZYunrui ZhangWenzhou Medical University EFEmily S. FinnBroad Institute MSMert R. SabuncuCornell University

Discussion

Member takes

Implication

Randomized trial reveals improved prediction of cognitive scores using movie-watching fMRI, suggesting new neuroimaging design principles.

Key Points

This study aims to enhance brain-behavior mapping by predicting cognitive scores and sex using functional connectivity during naturalistic movie-watching.
Developed a deep neural network framework for analyzing movie-watching fMRI data.
Compared functional connectivity from movie-watching to resting-state assessments.
Utilized static and sliding-window dynamic FC approaches to assess inter-subject synchrony.
Movie-watching FC outperformed resting-state FC in predicting cognitive scores.
Higher prediction accuracy correlated with increased inter-subject synchrony (p<0.05).
No significant association found for sex prediction based on movie FC.

Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6a2ba1ca8101cf8926f01079 https://doi.org/10.1038/s42003-026-10411-9

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