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Gray matter and intelligence factors: Is there a neuro-g?

  • Richard J. Haier
  • , Roberto Colom
  • , David H. Schroeder
  • , Christopher A. Condon
  • , Cheuk Tang
  • , Emily Eaves
  • , Kevin Head

Research output: Contribution to journalArticlepeer-review

87 Scopus citations

Abstract

Heterogeneous results among neuro-imaging studies using psychometric intelligence measures may result from the variety of tests used. The g-factor may provide a common metric across studies. Here we derived a g-factor from a battery of eight cognitive tests completed by 6929 young adults, 40 of whom also completed structural MRI scans. Regional gray matter (GM) was determined using voxel-based-morphometry (VBM) and correlated to g-scores. Results showed correlations distributed throughout the brain, but there was limited overlap with brain areas identified in a similar study that used a different battery of tests to derive g-scores. Comparable spatial scores (with g variance removed) also were derived from both batteries, and there was considerable overlap in brain areas where GM was correlated to the respective spatial scores. The results indicate that g-scores derived from different test batteries do not necessarily have equivalent neuro-anatomical substrates, suggesting that identifying a "neuro-g" will be difficult. The neuro-anatomical substrate of a spatial factor, however, appears more consistent and implicates a distributed network of brain areas that may be involved with spatial ability. Future imaging studies directed at identifying the neural basis of intelligence may benefit from using a psychometric test battery chosen with specific criteria.

Original languageEnglish
Pages (from-to)136-144
Number of pages9
JournalIntelligence
Volume37
Issue number2
DOIs
StatePublished - Mar 2009

Keywords

  • Factor analysis
  • Intelligence
  • MRI
  • Neuro-g
  • Spatial ability
  • Voxel-based-morphometry (VBM)
  • g-factor

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