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Updated: Aug 11, 2025

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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Static and dynamic functional connectomes represent largely similar information.

Andraž Matkovič1, Alan Anticevic2,3, John D Murray2,3,4

  • 1Department of Psychology, Faculty of Arts, University of Ljubljana.

Biorxiv : the Preprint Server for Biology
|February 7, 2023
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Summary
This summary is machine-generated.

Dynamic functional connectivity (FC) estimates from blood-oxygen-level-dependent (BOLD) fMRI data are highly similar to static FC, suggesting comparable information content across methods.

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Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Systems Neuroscience

Background:

  • Functional connectivity (FC) analysis of blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) time series is crucial for understanding brain function.
  • Existing FC methods vary in their sensitivity to temporal dynamics and the number of brain regions considered (bivariate vs. multivariate).
  • Previous studies indicated dynamic FC might offer insights beyond static FC, prompting a systematic comparison.

Approach:

  • Compared five FC methods: static/dynamic and bivariate/multivariate.
  • Evaluated methods based on FC matrix similarity, node centrality measures, and brain-behavior associations.
  • Investigated Pearson's correlation, lagged correlation, partial correlation, and multivariate autoregressive (AR) models.

Key Points:

  • FC estimates did not significantly differ based on temporal order sensitivity (static vs. dynamic).
  • Multivariate methods showed differences compared to bivariate methods.
  • Dynamic and static FC estimates, particularly at the group level, were highly correlated.
  • Brain-behavior association patterns were similar for both dynamic and static FC methods.

Conclusions:

  • Dynamic FC estimates largely capture similar information as static FC estimates.
  • Despite theoretical differences, dynamic and static FC approaches yield comparable results in many analyses.
  • This suggests that static FC may be a sufficient and robust measure for certain neuroimaging research questions.