Associations between gait speed and brain structure in amnestic mild cognitive impairment: a quantitative neuroimaging study.


Journal

Brain imaging and behavior
ISSN: 1931-7565
Titre abrégé: Brain Imaging Behav
Pays: United States
ID NLM: 101300405

Informations de publication

Date de publication:
Feb 2022
Historique:
accepted: 30 06 2021
pubmed: 3 8 2021
medline: 11 2 2022
entrez: 2 8 2021
Statut: ppublish

Résumé

Patients with amnestic mild cognitive impairment (aMCI) present gait disturbances including slower speed and higher variability when compared to cognitively healthy individuals (CHI). Brain neuroimaging could explore higher levels of motor control. Our purpose was to look for an association between morphometrics and gait parameters in each group. We hypothesized that the relation between morphological cerebral alteration and gait speed are different following the group. Fifty-three participants (30 with aMCI and 23 CHI) were recruited in this French cross-sectional study (mean 72 ± 5 years, 38% female). Gait speed and gait variability (coefficients of variation of stride time (STV) and stride length (SLV)) were measured using GAITrite® system. CAT12 software was used to analyse volume and surface morphometry like gray matter volume (GMV) and cortical thickness (CT). Age, gender and education level were used as potential cofounders. aMCI had slower gait speed and higher STV when compared to CHI. In aMCI the full adjusted linear regression model showed that lower gait speed was associated with decreased GMV and lower CT in bilateral superior temporal gyri (p < 0.36). In CHI, no association was found between gait speed and brain structure. Higher SLV was correlated with reduced GMV in spread regions (p < 0.05) and thinner cortex in the middle right frontal gyrus (p = 0.001) in aMCI. In CHI, higher SLV was associated with reduced GMV in 1 cluster: the left lingual (p = 0.041). These findings indicate that lower gait speed is associated with specific brain structural changes as reduced GMV and CT during aMCI.

Sections du résumé

BACKGROUND BACKGROUND
Patients with amnestic mild cognitive impairment (aMCI) present gait disturbances including slower speed and higher variability when compared to cognitively healthy individuals (CHI). Brain neuroimaging could explore higher levels of motor control. Our purpose was to look for an association between morphometrics and gait parameters in each group. We hypothesized that the relation between morphological cerebral alteration and gait speed are different following the group.
METHODS METHODS
Fifty-three participants (30 with aMCI and 23 CHI) were recruited in this French cross-sectional study (mean 72 ± 5 years, 38% female). Gait speed and gait variability (coefficients of variation of stride time (STV) and stride length (SLV)) were measured using GAITrite® system. CAT12 software was used to analyse volume and surface morphometry like gray matter volume (GMV) and cortical thickness (CT). Age, gender and education level were used as potential cofounders.
RESULTS RESULTS
aMCI had slower gait speed and higher STV when compared to CHI. In aMCI the full adjusted linear regression model showed that lower gait speed was associated with decreased GMV and lower CT in bilateral superior temporal gyri (p < 0.36). In CHI, no association was found between gait speed and brain structure. Higher SLV was correlated with reduced GMV in spread regions (p < 0.05) and thinner cortex in the middle right frontal gyrus (p = 0.001) in aMCI. In CHI, higher SLV was associated with reduced GMV in 1 cluster: the left lingual (p = 0.041).
CONCLUSIONS CONCLUSIONS
These findings indicate that lower gait speed is associated with specific brain structural changes as reduced GMV and CT during aMCI.

Identifiants

pubmed: 34338997
doi: 10.1007/s11682-021-00496-7
pii: 10.1007/s11682-021-00496-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

228-238

Informations de copyright

© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Pauline Ali (P)

Laboratoire Angevin de Recherche en Ingénierie Des Systèmes, EA7315, University of Angers, Angers, France. Pauline.ali@univ-angers.fr.
Department of Physical and Rehabilitation Medicine, Angers University Hospital, Angers, France. Pauline.ali@univ-angers.fr.
Les Capucins, Centre de Réadaptation Spécialisée et Soins Longue Durée, 11 Boulevard Jean Sauvage, F-49100, Angers, France. Pauline.ali@univ-angers.fr.

Matthieu Labriffe (M)

Laboratoire Angevin de Recherche en Ingénierie Des Systèmes, EA7315, University of Angers, Angers, France.
Department of Radiology, Angers University Hospital, University of Angers, Angers, France.

Paul Paisant (P)

Les Capucins, Centre de Réadaptation Spécialisée et Soins Longue Durée, 11 Boulevard Jean Sauvage, F-49100, Angers, France.

Marc Antoine Custaud (MA)

CRC, Clinical Research Center, Angers University Hospital, Angers, France.
MITOVASC Institute, UMR CNRS 6015, UMR INSERM 1083, University of Angers, Angers, France.

Cédric Annweiler (C)

Department of Geriatric Medicine, Angers University Hospital, Angers University Memory Clinic, Research Center on Autonomy and Longevity, UPRES EA 4638, University of Angers, Angers, France.
Robarts Research Institute, Department of Medical Biophysics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.

Mickaël Dinomais (M)

Laboratoire Angevin de Recherche en Ingénierie Des Systèmes, EA7315, University of Angers, Angers, France.
Department of Physical and Rehabilitation Medicine, Angers University Hospital, Angers, France.
Les Capucins, Centre de Réadaptation Spécialisée et Soins Longue Durée, 11 Boulevard Jean Sauvage, F-49100, Angers, France.

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