https://academic.oup.com/biomedgerontology/advance-article-abstract/doi/10.1093/gerona/gly123/5011084?redirectedFrom=fulltext
Gilles Allali, MD, PhD
Department of Neurology, Geneva University Hospital and University of Geneva, Switzerland
Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York, USA
Corresponding author: Gilles Allali, MD, PhD, Department of Neurology, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1211 Geneva, Switzerland; Tel : ++ 41 22 372 83 18; Fax : ++ 41 22 372 83 33; E-mail: gilles.allali@hcuge.ch
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Maxime Montembeault, BSc
Centre de recherche de l’Institut universitaire de gériatrie de Montréal, Montréal, Quebec, Canada
Département de psychologie, Université de Montréal, Montréal, Quebec, Canada
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Simona M Brambati, PhD
Centre de recherche de l’Institut universitaire de gériatrie de Montréal, Montréal, Quebec, Canada
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Louis Bherer, PhD
Centre de recherche de l’Institut universitaire de gériatrie de Montréal, Montréal, Quebec, Canada
Département de Médecine, Institut de cardiologie de Montréal et centre EPIC, Université de Montreal, Quebec, Canada
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Helena M Blumen, PhD
Departments of Neurology and Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
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Cyrille P Launay, MD, PhD
Division of Geriatric Medicine and Geriatric Rehabilitation, Department of Medicine, Lausanne University Hospital
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Teresa Liu-Ambrose, PhD, PT
Aging, Mobility and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, British Columbia, Canada
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Jorunn L Helbostad, PhD
Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
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Joe Verghese, MBBS
Departments of Neurology and Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
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Olivier Beauchet, MD, PhD
Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis - Jewish General Hospital and Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada
Dr. Joseph Kaufmann Chair in Geriatric Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
Centre of Excellence on Aging and Chronic Diseases of McGill integrated University Health Network, Quebec, Canada
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The Journals of Gerontology: Series A, gly123, https://doi.org/10.1093/gerona/gly123
Published:
26 May 2018
Article history
Received:
08 December 2017
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- CiteCitationGilles Allali, Maxime Montembeault, Simona M Brambati, Louis Bherer, Helena M Blumen, Cyrille P Launay, Teresa Liu-Ambrose, Jorunn L Helbostad, Joe Verghese, Olivier Beauchet; Brain Structure Covariance Associated with Gait Control in Aging, The Journals of Gerontology: Series A, , gly123, https://doi.org/10.1093/gerona/gly123
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© 2018 Oxford University Press
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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 non-demented older community-dwellers (age 71.3±4.5; 41.7% female) under three different walking conditions: normal walking and two challenging tasks: motor (i.e.; fast speed) and an attention-demanding dual task (i.e.; backward counting).
Results
Three main individual gray matter regions were positively correlated with walking speed (i.e.; 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.
Issue Section:
Research article
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