Ontology highlight
ABSTRACT: Background
Gait analysis with accelerometers is a relatively inexpensive and easy to use method to potentially support clinical diagnoses of Alzheimer's disease and other dementias. It is not clear, however, which gait features are most informative and how these measures relate to Alzheimer's disease pathology.Objective
In this study, we tested if calculated features of gait 1) differ between cognitively normal subjects (CN), mild cognitive impairment (MCI) patients, and dementia patients, 2) are correlated with cerebrospinal fluid (CSF) biomarkers related to Alzheimer's disease, and 3) predict cognitive decline.Methods
Gait was measured using tri-axial accelerometers attached to the fifth lumbar vertebra (L5) in 58 CN, 58 MCI, and 26 dementia participants, while performing a walk and dual task. Ten gait features were calculated from the vertical L5 accelerations, following principal component analysis clustered in four domains, namely pace, rhythm, time variability, and length variability. Cognitive decline over time was measured using MMSE, and CSF biomarkers were available in a sub-group.Results
Linear mixed models showed that dementia patients had lower pace scores than MCI patients and CN subjects (p < 0.05). In addition, we found associations between the rhythm domain and CSF-tau, especially in the dual task. Gait was not associated with CSF Aβ42 levels and cognitive decline over time as measured with the MMSE.Conclusion
These findings suggest that gait - particularly measures related to pace and rhythm - are altered in dementia and have a direct link with measures of neurodegeneration.
SUBMITTER: Muurling M
PROVIDER: S-EPMC7505008 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Muurling Marijn M Rhodius-Meester Hanneke F M HFM Pärkkä Juha J van Gils Mark M Frederiksen Kristian S KS Bruun Marie M Hasselbalch Steen G SG Soininen Hilkka H Herukka Sanna-Kaisa SK Hallikainen Merja M Teunissen Charlotte E CE Visser Pieter Jelle PJ Scheltens Philip P van der Flier Wiesje M WM Mattila Jussi J Lötjönen Jyrki J de Boer Casper C
Journal of Alzheimer's disease : JAD 20200101 3
<h4>Background</h4>Gait analysis with accelerometers is a relatively inexpensive and easy to use method to potentially support clinical diagnoses of Alzheimer's disease and other dementias. It is not clear, however, which gait features are most informative and how these measures relate to Alzheimer's disease pathology.<h4>Objective</h4>In this study, we tested if calculated features of gait 1) differ between cognitively normal subjects (CN), mild cognitive impairment (MCI) patients, and dementia ...[more]