Exploring shared neural substrates underlying cognition and gait variability in adults without dementia

Seonjeong Byun, Hyang Jun Lee, Jun Sung Kim, Euna Choi, Subin Lee, Tae Hui Kim, Jae Hyoung Kim, Ji Won Han, Ki Woong Kim

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Background: High gait variability is associated with neurodegeneration and cognitive impairments and is predictive of cognitive impairment and dementia. The objective of this study was to identify cortical or subcortical structures of the brain shared by gait variability measured using a body-worn tri-axial accelerometer (TAA) and cognitive function. Methods: This study is a part of a larger population-based cohort study on cognitive aging and dementia. The study included 207 participants without dementia, with a mean age of 72.6, and 45.4% of them are females. We conducted standardized diagnostic interview including a detailed medical history, physical and neurological examinations, and laboratory tests for cognitive impairment. We obtained gait variability during walking using a body-worn TAA along and measured cortical thickness and subcortical volume from brain magnetic resonance (MR) images. We cross-sectionally investigated the cortical and subcortical neural structures associated with gait variability and the shared neural substrates of gait variability and cognitive function. Results: Higher gait variability was associated with the lower cognitive function and thinner cortical gray matter but not smaller subcortical structures. Among the clusters exhibiting correlations with gait variability, one that included the inferior temporal, entorhinal, parahippocampal, fusiform, and lingual regions in the left hemisphere was also associated with global cognitive and verbal memory function. Mediation analysis results revealed that the cluster’s cortical thickness played a mediating role in the association between gait variability and cognitive function. Conclusion: Gait variability and cognitive function may share neural substrates, specifically in regions related to memory and visuospatial navigation.

Original languageEnglish
Article number206
JournalAlzheimer's Research and Therapy
Volume15
Issue number1
DOIs
StatePublished - Dec 2023

Bibliographical note

Publisher Copyright:
© 2023, The Author(s).

Keywords

  • Cognitive impairment
  • Digital biomarker
  • Gait
  • Shared neural network
  • Tri-axial accelerometer

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