Literature DB >> 29629501

Gray matter volume covariance patterns associated with gait speed in older adults: a multi-cohort MRI study.

Helena M Blumen1,2, Lucy L Brown3, Christian Habeck4, Gilles Allali5, Emmeline Ayers6, Olivier Beauchet7, Michele Callisaya8,9, Richard B Lipton3, P S Mathuranath10, Thanh G Phan8, V G Pradeep Kumar11, Velandai Srikanth8,9, Joe Verghese6,3.   

Abstract

Accelerated gait decline in aging is associated with many adverse outcomes, including an increased risk for falls, cognitive decline, and dementia. Yet, the brain structures associated with gait speed, and how they relate to specific cognitive domains, are not well-understood. We examined structural brain correlates of gait speed, and how they relate to processing speed, executive function, and episodic memory in three non-demented and community-dwelling older adult cohorts (Overall N = 352), using voxel-based morphometry and multivariate covariance-based statistics. In all three cohorts, we identified gray matter volume covariance patterns associated with gait speed that included brain stem, precuneus, fusiform, motor, supplementary motor, and prefrontal (particularly ventrolateral prefrontal) cortex regions. Greater expression of these gray matter volume covariance patterns linked to gait speed were associated with better processing speed in all three cohorts, and with better executive function in one cohort. These gray matter covariance patterns linked to gait speed were not associated with episodic memory in any of the cohorts. These findings suggest that gait speed, processing speed (and to some extent executive functions) rely on shared neural systems that are subject to age-related and dementia-related change. The implications of these findings are discussed within the context of the development of interventions to compensate for age-related gait and cognitive decline.

Entities:  

Keywords:  Cognition; Gait; Gray matter; Magnetic resonance imaging; Multivariate analyses

Mesh:

Year:  2019        PMID: 29629501      PMCID: PMC6177326          DOI: 10.1007/s11682-018-9871-7

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


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