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

Beauchet, O and Launay, CP and Sejdić, E and Allali, G and Annweiler, C (2014) Motor imagery of gait: A new way to detect mild cognitive impairment? Journal of NeuroEngineering and Rehabilitation, 11 (1).

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Objectives. 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. Methods. 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). Results: 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). Conclusions: Our results provide the first evidence that motor imagery of gait may be used as a biomarker of MCI in older adults. © 2014 Beauchet et al.; licensee BioMed Central Ltd.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Beauchet, O
Launay, CP
Sejdić, E
Allali, G
Annweiler, C
Date: 18 April 2014
Date Type: Publication
Journal or Publication Title: Journal of NeuroEngineering and Rehabilitation
Volume: 11
Number: 1
DOI or Unique Handle: 10.1186/1743-0003-11-66
Schools and Programs: Swanson School of Engineering > Electrical and Computer Engineering
Refereed: Yes
Date Deposited: 05 Dec 2016 21:15
Last Modified: 31 Jul 2020 15:56


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