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Structural brain imaging correlates of general intelligence in UK Biobank

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...

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Autores principales: Cox, S.R., Ritchie, S.J., Fawns-Ritchie, C., Tucker-Drob, E.M., Deary, I.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876667/
https://www.ncbi.nlm.nih.gov/pubmed/31787788
http://dx.doi.org/10.1016/j.intell.2019.101376
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author Cox, S.R.
Ritchie, S.J.
Fawns-Ritchie, C.
Tucker-Drob, E.M.
Deary, I.J.
author_facet Cox, S.R.
Ritchie, S.J.
Fawns-Ritchie, C.
Tucker-Drob, E.M.
Deary, I.J.
author_sort Cox, S.R.
collection PubMed
description 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 sex- corrected) 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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spelling pubmed-68766672019-11-29 Structural brain imaging correlates of general intelligence in UK Biobank Cox, S.R. Ritchie, S.J. Fawns-Ritchie, C. Tucker-Drob, E.M. Deary, I.J. Intelligence Article 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 sex- corrected) 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. Elsevier 2019 /pmc/articles/PMC6876667/ /pubmed/31787788 http://dx.doi.org/10.1016/j.intell.2019.101376 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cox, S.R.
Ritchie, S.J.
Fawns-Ritchie, C.
Tucker-Drob, E.M.
Deary, I.J.
Structural brain imaging correlates of general intelligence in UK Biobank
title Structural brain imaging correlates of general intelligence in UK Biobank
title_full Structural brain imaging correlates of general intelligence in UK Biobank
title_fullStr Structural brain imaging correlates of general intelligence in UK Biobank
title_full_unstemmed Structural brain imaging correlates of general intelligence in UK Biobank
title_short Structural brain imaging correlates of general intelligence in UK Biobank
title_sort structural brain imaging correlates of general intelligence in uk biobank
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876667/
https://www.ncbi.nlm.nih.gov/pubmed/31787788
http://dx.doi.org/10.1016/j.intell.2019.101376
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