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Updated: Sep 11, 2025

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Higher general intelligence is associated with stable, efficient, and typical dynamic functional brain connectivity

Justin Ng1,2, Ju-Chi Yu1, Jamie D Feusner1,2,3,4

  • 1Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.

Imaging Neuroscience (Cambridge, Mass.)
|August 13, 2025
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Summary
This summary is machine-generated.

General intelligence (g) is linked to how the brain dynamically reorganizes its connectivity. Efficient reconfiguration between stable, typical brain states supports cognitive abilities.

Keywords:
Human Connectome Projectbrain statesdynamic functional connectivityg-factorprocessing speedresting-state fMRI

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychology

Background:

  • General intelligence (g) is theorized to arise from the brain's dynamic connectivity.
  • Dynamic functional connectivity (dFC) measures brain state transitions but often overlooks continuous reconfiguration variations.

Purpose of the Study:

  • To investigate associations between dynamic brain network properties and general intelligence.
  • To move beyond frequency-based dFC metrics by assessing within-state consistency, between-state dissimilarity, and conformity to group averages.

Main Methods:

  • Utilized resting-state fMRI data from the Human Connectome Project.
  • Applied multivariate Partial Least Squares Correlation to analyze associations between dFC metrics and cognitive ability.

Main Results:

  • Found a positive association between general intelligence (g) and stable maintenance of distinct brain connectivity states.
  • Identified efficient reconfiguration (minimal change between similar states, maximal change between dissimilar states) as positively related to g.
  • Observed that the ability to maintain connectivity close to group-average states correlates with higher general intelligence.

Conclusions:

  • General intelligence is associated with the brain's capacity for efficient reconfiguration between stable, population-typical connectivity patterns.
  • These findings suggest fundamental brain-behavior organization principles underlying cognitive processing capacity.