Citation

Xie H, Wang Y, Tao S, Huang S, Zhang C, Lv Z. Front. Aging Neurosci. 2019; 11: e285.

Affiliation

National Research Center for Rehabilitation Technical Aids, Rehabilitation Hospital, Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, Key Laboratory of Intelligent Control and Rehabilitation Technology of the Ministry of Civil Affairs, Beijing, China.

Copyright

(Copyright © 2019, Frontiers Research Foundation)

DOI

10.3389/fnagi.2019.00285

PMID

31695605

PMCID

PMC6817674

Abstract

Objectives: To characterize gait disorders in patients with amnestic mild cognitive impairment (aMCIs) and determine the association between the performance of the gait function and cognition. Methodology: In this study, we enrolled 38 patients with aMCI and 30 cognitively normal individuals normal controls (NC). Neuropsychological assessments included tests of memory, executive function, language, and attention. Using an inertial-sensor-based wearable instrument, we collected the gait data dynamically for at least 1 h/day for 2 weeks. The gait parameters included walking velocity, stride length, stride time, cadence, and stride time variability. Results: The aMCI patients had reduced walking velocity and stride length and increased stride time variability compared with the NCs. The total number of steps, stride time, and cadence did not differ between the two groups. For all the subjects, walking velocity and stride length was positively associated with memory and executive function. Stride time variability was negatively correlated with the cognitive domains including memory, executive function and attention. Conclusion: This study suggested that cognitive impairment-related gait disorders occur (reduced gait speed, gait length, and gait stability) in daily life walking among the aMCI patients. A sensor-based wearable device for gait measurement may be an alternative and convenient tool for screening cognitive impairment.

Copyright © 2019 Xie, Wang, Tao, Huang, Zhang and Lv.

Language: en

Keywords

amnestic mild cognitive impairment; cognition; gait; gait parameters; wearable sensor-based