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Structural-functional brain network coupling predicts human cognitive ability.

Johanna L Popp1, Jonas A Thiele1, Joshua Faskowitz2

  • 1Department of Psychology I, Würzburg University, Marcusstr. 9-11, Würzburg D 97070, Germany.

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|March 16, 2024
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Summary
This summary is machine-generated.

Higher structural-functional brain network coupling (SC-FC coupling) is linked to general cognitive ability (GCA). Region-specific coupling strategies predict individual cognitive performance, revealing efficient information processing in the brain.

Keywords:
Functional connectivityGeneral cognitive abilityNetwork communication modelsStructural connectivityStructure-function coupling

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Network Neuroscience

Background:

  • Individual differences in general cognitive ability (GCA) are rooted in brain structure and function.
  • Network neuroscience has identified neural correlates of GCA in structural and functional brain networks.
  • The relationship between structural-functional brain network coupling (SC-FC coupling) and GCA is not well understood.

Purpose of the Study:

  • To investigate whether SC-FC coupling is associated with individual differences in GCA.
  • To explore different neural communication strategies underlying SC-FC coupling.
  • To determine if SC-FC coupling can predict individual cognitive ability.

Main Methods:

  • Utilized data from 1030 adults from the Human Connectome Project.
  • Derived structural connectivity from diffusion-weighted imaging and functional connectivity from resting-state fMRI.
  • Assessed GCA using a latent g-factor from 12 cognitive tasks and modeled SC-FC coupling using similarity and communication measures.

Main Results:

  • Higher GCA was associated with increased whole-brain SC-FC coupling when considering path transitivity.
  • Region-specific SC-FC coupling strategies, differentiating positive and negative associations, predicted individual GCA scores (r = 0.25).
  • The predictive model generalized to an independent sample (N = 567, r = 0.19).

Conclusions:

  • Structural-functional brain network coupling is a neurobiological correlate of GCA.
  • Brain region-specific coupling strategies underpin efficient information processing and predict cognitive ability.
  • SC-FC coupling offers insights into the neural basis of individual differences in cognition.