Neuroimaging correlates of lateral postural control in older ambulatory adults.
Aging
Balance
Diffusion tensor imaging
Neuroimaging
Postural control
Journal
Aging clinical and experimental research
ISSN: 1720-8319
Titre abrégé: Aging Clin Exp Res
Pays: Germany
ID NLM: 101132995
Informations de publication
Date de publication:
May 2019
May 2019
Historique:
received:
06
06
2018
accepted:
17
08
2018
pubmed:
1
9
2018
medline:
8
6
2019
entrez:
1
9
2018
Statut:
ppublish
Résumé
In older adults, impaired postural control contributes to falls, a major source of morbidity. Understanding central mechanisms may help identify individuals at risk for impaired postural control. To determine the relationship between gray matter volume (GMV), white matter hyperintensities (WMH), mean diffusivity (MD), and fractional anisotropy (FA) with lateral postural control. Neuroimaging and postural control were assessed in 193 community-dwelling older adults (mean age 82, 55.4% female, 44.6% black). GMV, WMH, and diffusion tensor-derived markers of microstructure (MD and FA) were quantified for total brain and regions of interest. Lateral postural control was defined as the root mean square error (RMSE) of lateral sway during a visual feedback test. Associations were assessed with linear regression, adjusted for total brain atrophy and risk factors for impaired postural control. RMSE was higher for women than men (p < 0.001) and inversely correlated with gait speed (r = - 0.20, p = 0.01), modified mini-mental state (r = - 0.27, p < 0.001), digit symbol substitution test (r = - 0.20, p = 0.01) and quadriceps strength (r = - 0.18, p = 0.01). RMSE was inversely associated with GMV of bilateral precuneus (r = - 0.26, p = 0.01) and FA of corpus callosum and selected tracts in the right hemisphere (anterior thalamic radiation, cingulum, inferior longitudinal and fronto-occipital fasciculi), independent of covariates (r = - 0.34 to - 0.18, p ≤ 0.04). Lower GMV and microstructural white matter integrity in selected networks can explain worse lateral postural control in older ambulatory adults without neurologic diseases. Neuroimaging markers of poor postural control in healthy aging may help identify increased fall risk and design preventative fall strategies.
Sections du résumé
BACKGROUND
BACKGROUND
In older adults, impaired postural control contributes to falls, a major source of morbidity. Understanding central mechanisms may help identify individuals at risk for impaired postural control.
AIMS
OBJECTIVE
To determine the relationship between gray matter volume (GMV), white matter hyperintensities (WMH), mean diffusivity (MD), and fractional anisotropy (FA) with lateral postural control.
METHODS
METHODS
Neuroimaging and postural control were assessed in 193 community-dwelling older adults (mean age 82, 55.4% female, 44.6% black). GMV, WMH, and diffusion tensor-derived markers of microstructure (MD and FA) were quantified for total brain and regions of interest. Lateral postural control was defined as the root mean square error (RMSE) of lateral sway during a visual feedback test. Associations were assessed with linear regression, adjusted for total brain atrophy and risk factors for impaired postural control.
RESULTS
RESULTS
RMSE was higher for women than men (p < 0.001) and inversely correlated with gait speed (r = - 0.20, p = 0.01), modified mini-mental state (r = - 0.27, p < 0.001), digit symbol substitution test (r = - 0.20, p = 0.01) and quadriceps strength (r = - 0.18, p = 0.01). RMSE was inversely associated with GMV of bilateral precuneus (r = - 0.26, p = 0.01) and FA of corpus callosum and selected tracts in the right hemisphere (anterior thalamic radiation, cingulum, inferior longitudinal and fronto-occipital fasciculi), independent of covariates (r = - 0.34 to - 0.18, p ≤ 0.04).
DISCUSSION
CONCLUSIONS
Lower GMV and microstructural white matter integrity in selected networks can explain worse lateral postural control in older ambulatory adults without neurologic diseases.
CONCLUSION
CONCLUSIONS
Neuroimaging markers of poor postural control in healthy aging may help identify increased fall risk and design preventative fall strategies.
Identifiants
pubmed: 30168099
doi: 10.1007/s40520-018-1028-4
pii: 10.1007/s40520-018-1028-4
pmc: PMC6573008
mid: NIHMS1031290
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
611-619Subventions
Organisme : NIA NIH HHS
ID : P30 AG024827
Pays : United States
Organisme : National Institute on Aging
ID : Contracts N01-AG-6-2101
Organisme : National Institute on Aging
ID : NIA grant R01-AG028050
Organisme : Intramural NIH HHS
ID : Z99 AG999999
Pays : United States
Organisme : NINR NIH HHS
ID : R01 NR012459
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG028050
Pays : United States
Organisme : National Institute on Aging
ID : N01-AG-6-2106
Organisme : National Institute on Aging
ID : N01-AG-6-2103
Organisme : University of Pittsburgh Older Americans Independence Center
ID : NIH P30 AG024827
Organisme : National Institute on Aging
ID : NINR grant R01-NR012459
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