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Robust associations between white matter microstructure and general intelligence.

Christina Stammen1, Christoph Fraenz1, Rachael G Grazioplene2

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This study reveals that individual differences in general intelligence are linked to white matter integrity in healthy adults. Specific white matter fiber bundles show robust associations with intelligence, supporting brain network theories.

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Neuroimaging

Background:

  • White matter microstructure is crucial for brain information transfer.
  • Previous studies on intelligence and white matter microstructure in healthy adults have shown mixed results.
  • A multicenter approach is needed to identify replicable structure-function associations.

Purpose of the Study:

  • To identify white matter regions with replicable associations with general intelligence (g factor) in healthy adults.
  • To investigate the relationship between white matter microstructure and intelligence using a large, multicenter dataset.
  • To provide evidence supporting or refining theories of intelligence, such as the Parieto-Frontal Integration Theory.

Main Methods:

  • Tract-Based Spatial Statistics (TBSS) analysis was employed.
  • Data from 4 independent samples, totaling over 2000 healthy participants, were analyzed.
  • Fractional Anisotropy (FA) was used as a measure of white matter microstructure.

Main Results:

  • 188 voxels showed significant positive associations between g factor scores and FA across all four datasets.
  • Replicable associations were found in three main clusters: forceps minor, superior longitudinal fasciculus, and cingulum-cingulate gyrus.
  • These clusters extended into surrounding white matter tracts, including the anterior thalamic radiation and inferior fronto-occipital fasciculus.

Conclusions:

  • Individual differences in general intelligence are robustly associated with white matter integrity (FA) in specific brain fiber bundles.
  • Findings are consistent with the Parieto-Frontal Integration Theory of intelligence.
  • Higher FA may be linked to higher intelligence due to factors like faster processing, more direct pathways, or increased axon density.