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Associations between Mobility, Cognition, and Brain Structure in Healthy Older Adults

Mobility limitations lead to a cascade of adverse events in old age, yet the neural and cognitive correlates of mobility performance in older adults remain poorly understood. In a sample of 387 adults (mean age 69.0 ± 5.1 years), we tested the relationship between mobility measures, cognitive assess...

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Autores principales: Demnitz, Naiara, Zsoldos, Enikő, Mahmood, Abda, Mackay, Clare E., Kivimäki, Mika, Singh-Manoux, Archana, Dawes, Helen, Johansen-Berg, Heidi, Ebmeier, Klaus P., Sexton, Claire E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440513/
https://www.ncbi.nlm.nih.gov/pubmed/28588477
http://dx.doi.org/10.3389/fnagi.2017.00155
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author Demnitz, Naiara
Zsoldos, Enikő
Mahmood, Abda
Mackay, Clare E.
Kivimäki, Mika
Singh-Manoux, Archana
Dawes, Helen
Johansen-Berg, Heidi
Ebmeier, Klaus P.
Sexton, Claire E.
author_facet Demnitz, Naiara
Zsoldos, Enikő
Mahmood, Abda
Mackay, Clare E.
Kivimäki, Mika
Singh-Manoux, Archana
Dawes, Helen
Johansen-Berg, Heidi
Ebmeier, Klaus P.
Sexton, Claire E.
author_sort Demnitz, Naiara
collection PubMed
description Mobility limitations lead to a cascade of adverse events in old age, yet the neural and cognitive correlates of mobility performance in older adults remain poorly understood. In a sample of 387 adults (mean age 69.0 ± 5.1 years), we tested the relationship between mobility measures, cognitive assessments, and MRI markers of brain structure. Mobility was assessed in 2007–2009, using gait, balance and chair-stands tests. In 2012–2015, cognitive testing assessed executive function, memory and processing-speed; gray matter volumes (GMV) were examined using voxel-based morphometry, and white matter microstructure was assessed using tract-based spatial statistics of fractional anisotropy, axial diffusivity (AD), and radial diffusivity (RD). All mobility measures were positively associated with processing-speed. Faster walking speed was also correlated with higher executive function, while memory was not associated with any mobility measure. Increased GMV within the cerebellum, basal ganglia, post-central gyrus, and superior parietal lobe was associated with better mobility. In addition, better performance on the chair-stands test was correlated with decreased RD and AD. Overall, our results indicate that, even in non-clinical populations, mobility measures can be sensitive to sub-clinical variance in cognition and brain structures.
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spelling pubmed-54405132017-06-06 Associations between Mobility, Cognition, and Brain Structure in Healthy Older Adults Demnitz, Naiara Zsoldos, Enikő Mahmood, Abda Mackay, Clare E. Kivimäki, Mika Singh-Manoux, Archana Dawes, Helen Johansen-Berg, Heidi Ebmeier, Klaus P. Sexton, Claire E. Front Aging Neurosci Neuroscience Mobility limitations lead to a cascade of adverse events in old age, yet the neural and cognitive correlates of mobility performance in older adults remain poorly understood. In a sample of 387 adults (mean age 69.0 ± 5.1 years), we tested the relationship between mobility measures, cognitive assessments, and MRI markers of brain structure. Mobility was assessed in 2007–2009, using gait, balance and chair-stands tests. In 2012–2015, cognitive testing assessed executive function, memory and processing-speed; gray matter volumes (GMV) were examined using voxel-based morphometry, and white matter microstructure was assessed using tract-based spatial statistics of fractional anisotropy, axial diffusivity (AD), and radial diffusivity (RD). All mobility measures were positively associated with processing-speed. Faster walking speed was also correlated with higher executive function, while memory was not associated with any mobility measure. Increased GMV within the cerebellum, basal ganglia, post-central gyrus, and superior parietal lobe was associated with better mobility. In addition, better performance on the chair-stands test was correlated with decreased RD and AD. Overall, our results indicate that, even in non-clinical populations, mobility measures can be sensitive to sub-clinical variance in cognition and brain structures. Frontiers Media S.A. 2017-05-23 /pmc/articles/PMC5440513/ /pubmed/28588477 http://dx.doi.org/10.3389/fnagi.2017.00155 Text en Copyright © 2017 Demnitz, Zsoldos, Mahmood, Mackay, Kivimäki, Singh-Manoux, Dawes, Johansen-Berg, Ebmeier and Sexton. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Demnitz, Naiara
Zsoldos, Enikő
Mahmood, Abda
Mackay, Clare E.
Kivimäki, Mika
Singh-Manoux, Archana
Dawes, Helen
Johansen-Berg, Heidi
Ebmeier, Klaus P.
Sexton, Claire E.
Associations between Mobility, Cognition, and Brain Structure in Healthy Older Adults
title Associations between Mobility, Cognition, and Brain Structure in Healthy Older Adults
title_full Associations between Mobility, Cognition, and Brain Structure in Healthy Older Adults
title_fullStr Associations between Mobility, Cognition, and Brain Structure in Healthy Older Adults
title_full_unstemmed Associations between Mobility, Cognition, and Brain Structure in Healthy Older Adults
title_short Associations between Mobility, Cognition, and Brain Structure in Healthy Older Adults
title_sort associations between mobility, cognition, and brain structure in healthy older adults
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440513/
https://www.ncbi.nlm.nih.gov/pubmed/28588477
http://dx.doi.org/10.3389/fnagi.2017.00155
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