Motor imagery of gait: a new way to detect mild cognitive impairment?

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Version: Final published version
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Serval ID
serval:BIB_5717C5554C22
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Motor imagery of gait: a new way to detect mild cognitive impairment?
Journal
Journal of neuroengineering and rehabilitation
Author(s)
Beauchet O., Launay C.P., Sejdić E., Allali G., Annweiler C.
ISSN
1743-0003 (Electronic)
ISSN-L
1743-0003
Publication state
Published
Issued date
18/04/2014
Peer-reviewed
Oui
Volume
11
Pages
66
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Abstract
1) To measure and compare the time required to perform (pTUG) and the time required to imagine (iTUG) the Timed Up & Go (TUG), and the time difference between these two tasks (i.e., TUG delta time) in older adults with cognitive decline (i.e., mild cognitive impairment (MCI) and mild-to-moderate Alzheimer disease and related disorders (ADRD)) and in cognitively healthy individuals (CHI); and 2) to examine any association between the TUG delta time and a cognitive status.
Sixty-six participants (24 CHI, 23 individuals with MCI, and 19 individuals with ADRD) were recruited in this cross-sectional study. The mean and standard deviation of the pTUG and iTUG completion times and the TUG delta time, as well as age, gender, and Mini-Mental State Examination (MMSE) scores were used as outcomes. Participants were separated into three groups based on the tertilization of TUG delta time: lowest (<13.6%; n = 22; best performance), intermediate (13.6-52.2%; n = 22), and highest tertile (>52.2%; n = 22, worst performance).
Fewer CHI were in the group exhibiting the highest tertile of TUG delta time compared to individuals with lowest and intermediate TUG delta times (p = 0.013). Being in the highest tertile of the TUG delta time was associated with cognitive decline in the unadjusted model (p = 0.012 for MCI, and p = 0.021 for mild-to-moderate ADRD). In the multivariate models, this association remained significant only for individuals with MCI (p = 0.019 while adjusting for age and gender; p = 0.047 while adjusting for age, gender, and MMSE score; p = 0.012 for the stepwise backward model).
Our results provide the first evidence that motor imagery of gait may be used as a biomarker of MCI in older adults.
Keywords
Aged, Cognitive Dysfunction/diagnosis, Cross-Sectional Studies, Female, Gait, Geriatric Assessment/methods, Humans, Imagination, Male, Motor Activity, Time
Pubmed
Web of science
Open Access
Yes
Create date
06/10/2023 8:16
Last modification date
25/01/2024 7:36
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