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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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Related Experiment Video

Updated: Dec 27, 2025

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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Intersubject consistent dynamic connectivity during natural vision revealed by functional MRI.

Xin Di1, Bharat B Biswal1

  • 1Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, 07029, USA; School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China.

Neuroimage
|March 5, 2020
PubMed
Summary
This summary is machine-generated.

Researchers analyzed dynamic brain connectivity during movie watching. They found that intersubject correlations reveal meaningful functional brain networks, even between regions with low stable connectivity, offering new insights into brain function.

Keywords:
Default mode networkDynamic connectivityIntersubject correlationMovie connectomeNaturalistic conditionSupramarginal gyrus

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Functional Neuroimaging

Background:

  • Brain region communication is dynamic, but distinguishing functional signals from noise in resting-state is challenging.
  • Naturalistic stimuli, like movies, evoke consistent local brain activity across individuals.
  • Intersubject correlation analysis is a valuable tool for identifying functionally relevant neural activity.

Purpose of the Study:

  • To investigate whether intersubject correlations of dynamic connectivity time courses can reveal functionally meaningful patterns during naturalistic conditions.
  • To explore dynamic functional connectivity beyond traditional stable connectivity measures.
  • To identify specific brain networks involved in processing naturalistic stimuli.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) data were collected while subjects watched a short animated movie.
  • Dynamic functional connectivity was calculated using a sliding window technique.
  • Intersubject correlations of the dynamic connectivity time courses were quantified and compared to regional activity correlations.

Main Results:

  • Intersubject correlations of dynamic connectivity time courses were comparable to those of regional activity, despite dynamic signals often being considered noisier.
  • Significant dynamic connectivity was observed between regions with low regional activity correlation and low stable functional connectivity.
  • The default mode network showed dynamic interactions with posterior visual regions during movie watching, suggesting a role in narrative comprehension.

Conclusions:

  • Intersubject correlation of dynamic connectivity is a viable method for identifying functionally relevant brain networks during naturalistic tasks.
  • This approach can uncover meaningful dynamic interactions missed by traditional connectivity analyses.
  • Dynamic interactions between higher-order and sensory brain regions are crucial for understanding complex naturalistic stimuli like movies.