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- Title
Brain Structure Covariance Associated With Gait Control in Aging.
- Authors
Allali, Gilles; Montembeault, Maxime; Brambati, Simona M; Bherer, Louis; Blumen, Helena M; Verghese, Joe; Launay, Cyrille P; Liu-Ambrose, Teresa; Helbostad, Jorunn L; Beauchet, Olivier
- Abstract
<bold>Background: </bold>Structural and functional brain imaging methods have identified age-related changes in brain structures involved in gait control. This cross-sectional study aims to investigate gray matter networks associated with gait control in aging using structural covariance analysis.<bold>Methods: </bold>Walking speed were measured in 326 nondemented older community-dwellers (age 71.3 ± 4.5; 41.7% female) under three different walking conditions: normal walking and two challenging tasks: motor (ie, fast speed) and an attention-demanding dual task (ie, backward counting).<bold>Results: </bold>Three main individual gray matter regions were positively correlated with walking speed (ie, slower walking speed was associated with lower brain volumes): right thalamus, right caudate nucleus, and left middle frontal gyrus for normal walking, rapid walking, and dual-task walking condition, respectively. The structural covariance analysis revealed that prefrontal regions were part of the networks associated with every walking condition; the right caudate was associated specifically with the hippocampus, amygdala and insula for the rapid walking condition, and the left middle frontal gyrus with a network involving the cuneus for the dual-task condition.<bold>Conclusion: </bold>Our results suggest that brain networks associated with gait control vary according to walking speed and depend on each walking condition. Gait control in aging involved a distributed network including regions for emotional control that are recruited in challenging walking conditions.
- Subjects
WALKING speed; CAUDATE nucleus; ANALYSIS of covariance; BRAIN; BRAIN imaging; DELAY discounting (Psychology)
- Publication
Journals of Gerontology Series A: Biological Sciences & Medical Sciences, 2019, Vol 74, Issue 5, p705
- ISSN
1079-5006
- Publication type
journal article
- DOI
10.1093/gerona/gly123