OBJECTIVES: To investigate longitudinal associations between changes in brain structure and gait decline. DESIGN: Longitudinal. SETTING: Population-based Tasmanian Study of Cognition and Gait. PARTICIPANTS: Two hundred twenty-five individuals aged 60 to 86 (mean age 71.4 ± 6.8) randomly selected from the electoral roll with baseline and follow-up data. MEASUREMENTS: Volumes of gray matter, white matter, hippocampi, and white matter lesions (WML) were estimated using automated segmentation from magnetic resonance imaging (MRI). Gait variables were measured using a computerized walkway. Linear regression was used to estimate the association between change in brain MRI measures and change in gait. Time between measurements, age, sex, BMI, education level, total intracranial volume, baseline infarcts, and medical history were used as baseline covariates. RESULTS: Mean follow-up was 30.6 months. White matter atrophy was associated with a decline in gait speed (P = .001), step length (P = .005), and cadence (P = .001). WML progression was associated with a decline in gait speed (P = .04), and its association with decline in step length was stronger with greater baseline age (P for interaction = .04). Hippocampal atrophy was associated with a decline in gait speed (P = .006) and step length (P = .001). Total gray matter atrophy was associated with decline in cadence in those with cerebral infarcts (P for interaction = .02). CONCLUSION: These are the first longitudinal data demonstrating the relative contributions of brain atrophy and WML progression to gait decline in older people. Effect modification according to age and infarcts suggests a contribution of reduced physiological and brain reserve. Interventions targeting brain health may be important in preventing mobility decline in older people.
OBJECTIVES: To investigate longitudinal associations between changes in brain structure and gait decline. DESIGN: Longitudinal. SETTING: Population-based Tasmanian Study of Cognition and Gait. PARTICIPANTS: Two hundred twenty-five individuals aged 60 to 86 (mean age 71.4 ± 6.8) randomly selected from the electoral roll with baseline and follow-up data. MEASUREMENTS: Volumes of gray matter, white matter, hippocampi, and white matter lesions (WML) were estimated using automated segmentation from magnetic resonance imaging (MRI). Gait variables were measured using a computerized walkway. Linear regression was used to estimate the association between change in brain MRI measures and change in gait. Time between measurements, age, sex, BMI, education level, total intracranial volume, baseline infarcts, and medical history were used as baseline covariates. RESULTS: Mean follow-up was 30.6 months. White matter atrophy was associated with a decline in gait speed (P = .001), step length (P = .005), and cadence (P = .001). WML progression was associated with a decline in gait speed (P = .04), and its association with decline in step length was stronger with greater baseline age (P for interaction = .04). Hippocampal atrophy was associated with a decline in gait speed (P = .006) and step length (P = .001). Total gray matter atrophy was associated with decline in cadence in those with cerebral infarcts (P for interaction = .02). CONCLUSION: These are the first longitudinal data demonstrating the relative contributions of brain atrophy and WML progression to gait decline in older people. Effect modification according to age and infarcts suggests a contribution of reduced physiological and brain reserve. Interventions targeting brain health may be important in preventing mobility decline in older people.
Authors: Lindsay S Nagamatsu; Andrea M Weinstein; Kirk I Erickson; Jason Fanning; Elizabeth A Awick; Arthur F Kramer; Edward McAuley Journal: J Am Geriatr Soc Date: 2016-01 Impact factor: 5.562
Authors: Chun Liang Hsu; John R Best; Bryan K Chiu; Lindsay S Nagamatsu; Michelle W Voss; Todd C Handy; Niousha Bolandzadeh; Teresa Liu-Ambrose Journal: Exp Gerontol Date: 2016-04-11 Impact factor: 4.032
Authors: Mandip S Dhamoon; Ying-Kuen Cheung; Jose Gutierrez; Yeseon P Moon; Ralph L Sacco; Mitchell S V Elkind; Clinton B Wright Journal: Stroke Date: 2018-01-26 Impact factor: 7.914