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Brain structure covariance associated with gait control in aging

  • Gilles Allali
  • , Maxime Montembeault
  • , Simona M. Brambati
  • , Louis Bherer
  • , Helena M. Blumen
  • , Cyrille P. Launay
  • , Teresa Liu-Ambrose
  • , Jorunn L. Helbostad
  • , Joe Verghese
  • , Olivier Beauchet
  • University of Geneva
  • Albert Einstein College of Medicine
  • University of Montreal
  • University of Lausanne
  • University of British Columbia
  • Norwegian University of Science and Technology
  • Jewish General Hospital
  • McGill University

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

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.

Original languageEnglish
Pages (from-to)705-713
Number of pages9
JournalJournals of Gerontology - Series A Biological Sciences and Medical Sciences
Volume74
Issue number5
DOIs
StatePublished - May 1 2019

Keywords

  • Aging
  • Anatomical structural covariance
  • Gait
  • Motor control
  • Neuroimaging

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