Brain Structure Covariance Associated With Gait Control in Aging. (26th May 2018)

• Record Type: Journal Article
• Authors: Allali, Gilles; Montembeault, Maxime; Brambati, Simona M; Bherer, Louis; Blumen, Helena M; Launay, Cyrille P; Liu-Ambrose, Teresa; Helbostad, Jorunn L; Verghese, Joe; Beauchet, Olivier
• Is Part Of: Journals of gerontology. Volume 74:Number 5(2019)
• Page Start: 705
• Page End: 713
• Publication Date: 2018-05-26
• Subjects: Gait -- Neuroimaging -- Anatomical structural covariance -- Motor control -- Aging; Geriatrics -- Periodicals; Gerontology -- Periodicals; 618.97
• DOI: 10.1093/gerona/gly123
• Languages: English
• ISSNs: 1079-5006

Abstract

Abstract: Background: 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. Methods: 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). Results: 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. Conclusion: 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.