Author(s):
T.
Booth, M. E.
Bastin, L.
Penke, S. M.
Maniega, C.
Murray, N. A.
Royle, A. J.
Gow, J.
Corley, R. D.
Henderson, C.
Hernandez Mdel, J. M.
Starr, J. M.
Wardlaw, I. J.
Deary
Abstract:
OBJECTIVE: The present study investigates associations between brain white matter tract integrity and cognitive abilities in community-dwelling older people (N = 655). We explored two potential confounds of white matter tract-cognition associations in later life: (a) whether the associations between tracts and specific cognitive abilities are accounted for by general cognitive ability (g); and (b) how the presence of atrophy and white matter lesions affect these associations. METHOD: Tract integrity was determined using quantitative diffusion magnetic resonance imaging tractography (tract-averaged fractional anisotropy [FA]). Using confirmatory factor analysis, we compared first-order and bifactor models to investigate whether specific tract-ability associations were accounted for by g. RESULTS: Significant associations were found between g and FA in bilateral anterior thalamic radiations (r range: .16-.18, p < .01), uncinate (r range: .19-.26, p < .001), arcuate fasciculi (r range: .11-.12, p < .05), and the splenium of corpus callosum (r = .14, p < .01). After controlling for g within the bifactor model, some significant specific cognitive domain associations remained. Results also suggest that the primary effects of controlling for whole brain integrity were on g associations, not specific abilities. CONCLUSION: Results suggest that g accounts for most of, but not all, the tract-cognition associations in the current data. When controlling for age-related overall brain structural changes, only minor attenuations of the tract-cognition associations were found, and these were primarily with g. In totality, the results highlight the importance of controlling for g when investigating associations between specific cognitive abilities and neuropsychology variables.
Full version:
Available here
Click the link to go to an external website with the full version of the paper
ISBN:
1931-1559 (Electronic)0894-4105 (Linking)
Publication Year:
2013
Periodical:
Neuropsychology
Periodical Number:
5
Volume:
27
Pages:
595-607
Author Address:
Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh.