4.2 Article

Structural brain imaging correlates of general intelligence in UK Biobank

Journal

INTELLIGENCE
Volume 76, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.intell.2019.101376

Keywords

Intelligence; Brain; Cortex; White matter; Subcortical

Funding

  1. crosscouncil Lifelong Health and Wellbeing Initiative [10279, MR/K026992/1]
  2. Biotechnology and Biological Sciences Research Council (BBSRC)
  3. Medical Research Council (MRC)
  4. MRC [MR/M013111/1, MR/R024065/1]
  5. Dementias Platform UK [MR/L015382/1]
  6. Age UK-funded Disconnected Mind project
  7. National Institutes of Health (NIH) [R01AG054628]
  8. NIH [R01HD083613, P2CHD042849]
  9. Dementias Platform UK (DPUK) - MRC [MR/L023784/2]
  10. MRC [MC_PC_12028, G1001245, MR/M013111/1, MR/L023784/2, MR/R024065/1] Funding Source: UKRI
  11. Medical Research Council [MR/K026992/1, MR/R024065/1, G1001245, MR/M013111/1] Funding Source: researchfish

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The associations between indices of brain structure and measured intelligence are unclear. This is partly because the evidence to-date comes from mostly small and heterogeneous studies. Here, we report brain structure-intelligence associations on a large sample from the UK Biobank study. The overall N = 29,004, with N = 18,426 participants providing both brain MRI and at least one cognitive test, and a complete four-test battery with MRI data available in a minimum N = 7201, depending upon the MRI measure. Participants' age range was 44-81 years (M = 63.13, SD = 7.48). A general factor of intelligence (g) was derived from four varied cognitive tests, accounting for one third of the variance in the cognitive test scores. The association between (age- and sexcorrected) total brain volume and a latent factor of general intelligence is r = 0.276, 95% C.I. = [0.252, 0.300]. A model that incorporated multiple global measures of grey and white matter macro- and microstructure accounted for more than double the g variance in older participants compared to those in middle-age (13.6% and 5. 4%, respectively). There were no sex differences in the magnitude of associations between g and total brain volume or other global aspects of brain structure. The largest brain regional correlates of g were volumes of the insula, frontal, anterior/superior and medial temporal, posterior and paracingulate, lateral occipital cortices, thalamic volume, and the white matter microstructure of thalamic and association fibres, and of the forceps minor. Many of these regions exhibited unique contributions to intelligence, and showed highly stable out of sample prediction.

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