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Cognitive activity, cognitive function, and brain diffusion characteristics in old age.

Publication ,  Journal Article
Arfanakis, K; Wilson, RS; Barth, CM; Capuano, AW; Vasireddi, A; Zhang, S; Fleischman, DA; Bennett, DA
Published in: Brain Imaging Behav
June 2016

The objective of this work was to test the hypotheses that a) more frequent cognitive activity in late life is associated with higher brain diffusion anisotropy and lower trace of the diffusion tensor, and b) brain diffusion characteristics partially mediate the association of late life cognitive activity with cognition. As part of a longitudinal cohort study, 379 older people without dementia rated their frequency of participation in cognitive activities, completed a battery of cognitive function tests, and underwent diffusion tensor imaging. We used tract-based spatial statistics to test the association between late life cognitive activity and brain diffusion characteristics. Clusters with statistically significant findings defined regions of interest in which we tested the hypothesis that diffusion characteristics partially mediate the association of late life cognitive activity with cognition. More frequent cognitive activity in late life was associated with higher level of global cognition after adjustment for age, sex, education, and indicators of early life cognitive enrichment (p = 0.001). More frequent cognitive activity was also related to higher fractional anisotropy in the left superior and inferior longitudinal fasciculi, left fornix, and corpus callosum, and lower trace in the thalamus (p < 0.05, FWE-corrected). After controlling for fractional anisotropy or trace from these regions, the regression coefficient for the association of late life cognitive activity with cognition was reduced by as much as 26 %. These findings suggest that the association of late life cognitive activity with cognition may be partially mediated by brain diffusion characteristics.

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Published In

Brain Imaging Behav

DOI

EISSN

1931-7565

Publication Date

June 2016

Volume

10

Issue

2

Start / End Page

455 / 463

Location

United States

Related Subject Headings

  • Neuropsychological Tests
  • Male
  • Magnetic Resonance Imaging
  • Longitudinal Studies
  • Image Processing, Computer-Assisted
  • Humans
  • Female
  • Experimental Psychology
  • Diffusion Tensor Imaging
  • Cohort Studies
 

Citation

APA
Chicago
ICMJE
MLA
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Arfanakis, K., Wilson, R. S., Barth, C. M., Capuano, A. W., Vasireddi, A., Zhang, S., … Bennett, D. A. (2016). Cognitive activity, cognitive function, and brain diffusion characteristics in old age. Brain Imaging Behav, 10(2), 455–463. https://doi.org/10.1007/s11682-015-9405-5
Arfanakis, Konstantinos, Robert S. Wilson, Christopher M. Barth, Ana W. Capuano, Anil Vasireddi, Shengwei Zhang, Debra A. Fleischman, and David A. Bennett. “Cognitive activity, cognitive function, and brain diffusion characteristics in old age.Brain Imaging Behav 10, no. 2 (June 2016): 455–63. https://doi.org/10.1007/s11682-015-9405-5.
Arfanakis K, Wilson RS, Barth CM, Capuano AW, Vasireddi A, Zhang S, et al. Cognitive activity, cognitive function, and brain diffusion characteristics in old age. Brain Imaging Behav. 2016 Jun;10(2):455–63.
Arfanakis, Konstantinos, et al. “Cognitive activity, cognitive function, and brain diffusion characteristics in old age.Brain Imaging Behav, vol. 10, no. 2, June 2016, pp. 455–63. Pubmed, doi:10.1007/s11682-015-9405-5.
Arfanakis K, Wilson RS, Barth CM, Capuano AW, Vasireddi A, Zhang S, Fleischman DA, Bennett DA. Cognitive activity, cognitive function, and brain diffusion characteristics in old age. Brain Imaging Behav. 2016 Jun;10(2):455–463.
Journal cover image

Published In

Brain Imaging Behav

DOI

EISSN

1931-7565

Publication Date

June 2016

Volume

10

Issue

2

Start / End Page

455 / 463

Location

United States

Related Subject Headings

  • Neuropsychological Tests
  • Male
  • Magnetic Resonance Imaging
  • Longitudinal Studies
  • Image Processing, Computer-Assisted
  • Humans
  • Female
  • Experimental Psychology
  • Diffusion Tensor Imaging
  • Cohort Studies