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Individual Differences in Reasoning and Visuospatial Attention Are Associated with Prefrontal and Parietal White Matter Tracts in Healthy Older Adults

Overview
Journal Neuropsychology
Specialty Neurology
Date 2016 Mar 18
PMID 26986750
Citations 6
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Abstract

Objective: Although reasoning and attention are 2 cognitive processes necessary for ensuring the efficiency of many everyday activities in older adults, the role of white matter integrity in these processes has been little studied. This is an important question due to the role of white matter integrity as a neural substrate of cognitive aging. Here, we sought to examine the white matter tracts subserving reasoning and visuospatial attention in healthy older adults.

Method: Sixty-one adults ages 60 and older completed a battery of cognitive tests to assess reasoning and visuospatial attention. In addition, diffusion tensor images were collected to assess fractional anisotropy (FA), a measure of white matter integrity. A principle components analysis of the test scores yielded 2 components: reasoning and visuospatial attention. Whole-brain correlations between FA and the cognitive components were submitted to probabilistic tractography analyses for visualization of cortical targets of tracts.

Results: For reasoning, bilateral thalamo-anterior prefrontal, anterior corpus callosum, and corpus callosum body tracts interconnecting the superior frontal cortices and right cingulum bundle were found. For visuospatial attention, a right inferior fronto-parietal tract and bilateral parietal and temporal connections were found.

Conclusions: We conclude that in older adults, prefrontal cortex white matter tracts and interhemispheric communication are important in higher order cognitive functioning. On the other hand, right-sided fronto-parietal tracts appear to be critical for supporting control of cognitive processes, such as redirecting attention. Researchers may use our results to develop neuroscience-based interventions for older adults targeting brain mechanisms involved in cognitive plasticity. (PsycINFO Database Record

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References
1.
Croxson P, Johansen-Berg H, Behrens T, Robson M, Pinsk M, Gross C . Quantitative investigation of connections of the prefrontal cortex in the human and macaque using probabilistic diffusion tractography. J Neurosci. 2005; 25(39):8854-66. PMC: 6725599. DOI: 10.1523/JNEUROSCI.1311-05.2005. View

2.
Esposito G, Kirkby B, Van Horn J, Ellmore T, Berman K . Context-dependent, neural system-specific neurophysiological concomitants of ageing: mapping PET correlates during cognitive activation. Brain. 1999; 122 ( Pt 5):963-79. DOI: 10.1093/brain/122.5.963. View

3.
Strenziok M, Parasuraman R, Clarke E, Cisler D, Thompson J, Greenwood P . Neurocognitive enhancement in older adults: comparison of three cognitive training tasks to test a hypothesis of training transfer in brain connectivity. Neuroimage. 2013; 85 Pt 3:1027-39. DOI: 10.1016/j.neuroimage.2013.07.069. View

4.
Greenwood P, Sunderland T, Friz J, Parasuraman R . Genetics and visual attention: selective deficits in healthy adult carriers of the epsilon 4 allele of the apolipoprotein E gene. Proc Natl Acad Sci U S A. 2000; 97(21):11661-6. PMC: 17257. DOI: 10.1073/pnas.97.21.11661. View

5.
Prado J, Chadha A, Booth J . The brain network for deductive reasoning: a quantitative meta-analysis of 28 neuroimaging studies. J Cogn Neurosci. 2011; 23(11):3483-97. PMC: 3188687. DOI: 10.1162/jocn_a_00063. View