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Temporal stability of functional brain modules associated with human intelligence.

Kirsten Hilger1,2, Makoto Fukushima3, Olaf Sporns3

  • 1Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany.

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PubMed
Summary
This summary is machine-generated.

Higher intelligence is linked to more stable brain network organization over time. Individuals with greater cognitive ability show less fluctuation in brain network modularity, particularly in attention networks.

Keywords:
dynamic networksgraph theoryintelligencemodularityresting-state fMRI

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Network Science

Background:

  • Individual differences in general cognitive ability (intelligence) correlate with brain functional network organization.
  • Previous studies focused on static brain connectivity, neglecting dynamic network changes.
  • The relationship between dynamic brain network configurations and general intelligence remains unexplored.

Purpose of the Study:

  • To investigate whether dynamic changes in functional brain network configuration relate to general intelligence.
  • To explore the temporal stability of brain network modularity in relation to cognitive ability.

Main Methods:

  • Utilized multiband functional MRI resting-state data from 281 participants.
  • Estimated subject-specific time-varying functional connectivity networks.
  • Applied modularity optimization to analyze time-variant module partitions and fluctuations.

Main Results:

  • Higher intelligence, measured by the Wechsler Abbreviated Scale of Intelligence (WASI), correlated with increased temporal stability (decreased variability) of brain network modularity.
  • Individuals with higher intelligence exhibited fewer periods of extreme modularity, characterized by reduced separation between task-positive and task-negative networks.
  • The dorsal attention network showed the most significant contribution to this association.

Conclusions:

  • The temporal dynamics of functional brain network topology are crucial for understanding the neural basis of general cognitive abilities.
  • Brain network stability, rather than static structure, may be a key neural correlate of intelligence.
  • Findings highlight the importance of considering dynamic network properties in cognitive neuroscience research.