Thumbnail
Access Restriction
Subscribed

Author Marques, Paulo César Gonçalves ♦ Soares, José Miguel Montenegro ♦ Magalhães, Ricardo José da Silva ♦ Santos, Nadine Correia ♦ Sousa, Nu Jorge Carvalho
Source SpringerLink
Content type Text
Publisher Springer US
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health
Subject Keyword Diffusion tensor imaging ♦ Aging ♦ Cognitive performance ♦ White matter ♦ Tract-based spatial statistics ♦ Neurosciences ♦ Neuroradiology ♦ Neuropsychology ♦ Psychiatry
Abstract Studies have shown that white matter (WM) volumetric reductions and overall degradation occur with aging. Nonetheless little is known about the WM alterations that may underlie different cognitive status in older individuals. The main goal of the present work was to identify and characterize possible macro and microstructural WM alterations that could distinguish between older healthy individuals with contrasting cognitive profiles (i.e., “poor” vs “good” cognitive performers). Structural and diffusion magnetic resonance imaging was performed in order to quantify local WM volumes, white matter signal abnormalities (WMSA) volume (a measure of lesion burden) and diffusion tensor imaging scalar maps known to probe WM microstructure. A battery of neurocognitive/psychological tests was administered to assess the cognitive performance. Poor performers showed a higher slope for the positive association between WMSA volume and age compared to good performers. Even when controlling for WMSA volume, poor performers also evidenced lower fractional anisotropy, as well as positive associations with age with higher slopes of regression parameters in radial and axial diffusivity. Altogether results suggest that cognitive performance is related to differences in WM, with poor cognitive performers displaying signs of faster aging in WM.
ISSN 19317557
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-04-01
Publisher Place New York
e-ISSN 19317565
Journal Brain Imaging and Behavior
Volume Number 10
Issue Number 1
Page Count 14
Starting Page 168
Ending Page 181


Open content in new tab

   Open content in new tab
Source: SpringerLink