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Reversed hierarchy in the brain for general and specific cognitive abilities: a morphometric analysis.

Francisco J Román1, Francisco J Abad, Sergio Escorial

  • 1Facultad de Psicología, Universidad Autónoma de Madrid, 28049, Madrid, Spain; Fundación CIEN - Fundación Reina Sofía, 28031, Madrid, Spain.

Human Brain Mapping
|March 29, 2014
PubMed
Summary

Brain structure, specifically gray matter, shows fewer regions correlating with general intelligence compared to specific cognitive tests. This suggests a reversed hierarchy where broader cognitive abilities rely on more focused neural resources.

Keywords:
Voxel-based Morphometry (VBM)cortical surface areacortical thicknessintelligencesurface-based morphometry

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Psychometrics

Background:

  • Intelligence is a complex construct involving a hierarchy of cognitive abilities.
  • General intelligence (g) and specific abilities represent different facets of cognitive function.
  • Understanding the neural basis of intelligence requires examining brain structure at various levels of cognitive organization.

Purpose of the Study:

  • To investigate the relationship between gray matter morphometric indices and different levels of the intelligence hierarchy.
  • To determine if the neural correlates of intelligence differ across specific tests, first-order factors, and the general factor (g).

Main Methods:

  • Structural magnetic resonance imaging (MRI) was used to measure gray matter volume, cortical surface area, and cortical thickness.
  • One hundred and four healthy young adults completed a comprehensive cognitive battery.
  • Latent scores for intelligence factors and individual tests were computed and analyzed for their gray matter correlates.

Main Results:

  • Gray matter correlates of intelligence showed significant variability at the individual test level.
  • This variability substantially decreased when analyzing first-order cognitive factors and the general intelligence factor (g).
  • Fewer gray matter clusters accounted for individual differences in performance as cognitive generality increased.

Conclusions:

  • The findings support a reversed hierarchy in the brain's neural organization relative to cognitive abilities.
  • Higher levels of cognitive generality (e.g., g) are associated with a more consolidated set of gray matter correlates.
  • This suggests that broad intelligent performance relies on a smaller, more integrated neural network.