Default mode network and the timed up and go in MCI: A structural covariance analysis.

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Serval ID
serval:BIB_61D86BB55AA3
Type
Article: article from journal or magazin.
Collection
Publications
Title
Default mode network and the timed up and go in MCI: A structural covariance analysis.
Journal
Experimental gerontology
Author(s)
Allali G., Montembeault M., Griffa A., Beauchet O.
ISSN
1873-6815 (Electronic)
ISSN-L
0531-5565
Publication state
Published
Issued date
01/2020
Peer-reviewed
Oui
Volume
129
Pages
110748
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
The timed up and go (TUG) is a test used to assess mobility in older adults and patients with neurological conditions. This study aims to compare brain gray matter (GM) correlates and structural covariance networks associated with the TUG time in cognitively healthy individuals (CHI) and in patients with mild cognitive impairment (MCI).
The TUG time was measured in 326 non-demented older community-dwellers (age 71.3 ± 4.5; 42% female) - 156 CHI and 170 MCI. GM covariance networks were computed using voxel-based morphometry with the main neural correlates of TUG for each group as seed regions.
Increased TUG time (i.e., poor performance) was associated with distinct brain volume reductions between CHI and MCI. The covariance analysis showed cortical regions involving the default mode network in CHI and bilateral cerebellar regions in MCI.
GM networks associated with the TUG vary between CHI and MCI, suggesting distinct brain control for locomotion between CHI and MCI patients.
Keywords
Aged, Brain Mapping, Cognition, Cognitive Dysfunction/physiopathology, Default Mode Network/physiopathology, Female, Gray Matter/physiopathology, Humans, Independent Living, Locomotion, Magnetic Resonance Imaging, Male, Alzheimer's disease, Anatomical structural covariance, Mild cognitive impairment, Neuroimaging, Timed up and go
Pubmed
Web of science
Create date
13/07/2023 13:32
Last modification date
11/08/2023 5:59
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