On-Yee Lo1,2,3, Mark A Halko3,4, Kathryn J Devaney3,5, Peter M Wayne3,6,7, Lewis A Lipsitz1,2,3, Brad Manor1,2,3. 1. Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA. 2. Division of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA. 3. Harvard Medical School, Boston, Massachusetts, USA. 4. Department of Psychiatry, McLean Hospital, Belmont, Massachusetts, USA. 5. Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA. 6. Osher Center for Integrative Medicine, Boston, Massachusetts, USA. 7. Brigham and Women's Hospital, Boston, Massachusetts, USA.
Abstract
BACKGROUND: In older adults, elevated gait variability when walking has been associated with both cognitive impairment and future falls. This study leveraged 3 existing data sets to determine relationships between gait variability and the strength of functional connectivity within and between large-scale brain networks in healthy older adults, those with mild-to-moderate functional impairment, and those with Parkinson's disease (PD). METHOD: Gait and resting-state functional magnetic resonance imaging data were extracted from existing data sets on: (i) 12 older adults without overt disease yet with slow gait and mild executive dysfunction; (ii) 12 older adults with intact cognitive-motor function and age- and sex-matched to the first cohort; and (iii) 15 individuals with PD. Gait variability (%, coefficient of variation of stride time) during preferred walking speed was measured and correlated with the degree of functional connectivity within and between 7 established large-scale functional brain networks. RESULTS: Regression models adjusted for age and sex revealed that in each cohort, those with less gait variability exhibited greater negative correlation between fluctuations in resting-state brain activity between the default network and the dorsal attention network (functionally limited older: β = 4.38, p = .027; healthy older: β = 1.66, p = .032; PD: β = 1.65, p = .005). No other within- or between-network connectivity outcomes were consistently related to gait variability across all 3 cohorts. CONCLUSION: These results provide strong evidence that gait variability is uniquely related to functional connectivity between the default network and the dorsal attention network, and that this relationship may be independent of both functional status and underlying brain disease.
BACKGROUND: In older adults, elevated gait variability when walking has been associated with both cognitive impairment and future falls. This study leveraged 3 existing data sets to determine relationships between gait variability and the strength of functional connectivity within and between large-scale brain networks in healthy older adults, those with mild-to-moderate functional impairment, and those with Parkinson's disease (PD). METHOD: Gait and resting-state functional magnetic resonance imaging data were extracted from existing data sets on: (i) 12 older adults without overt disease yet with slow gait and mild executive dysfunction; (ii) 12 older adults with intact cognitive-motor function and age- and sex-matched to the first cohort; and (iii) 15 individuals with PD. Gait variability (%, coefficient of variation of stride time) during preferred walking speed was measured and correlated with the degree of functional connectivity within and between 7 established large-scale functional brain networks. RESULTS: Regression models adjusted for age and sex revealed that in each cohort, those with less gait variability exhibited greater negative correlation between fluctuations in resting-state brain activity between the default network and the dorsal attention network (functionally limited older: β = 4.38, p = .027; healthy older: β = 1.66, p = .032; PD: β = 1.65, p = .005). No other within- or between-network connectivity outcomes were consistently related to gait variability across all 3 cohorts. CONCLUSION: These results provide strong evidence that gait variability is uniquely related to functional connectivity between the default network and the dorsal attention network, and that this relationship may be independent of both functional status and underlying brain disease.
Authors: Seonjeong Byun; Ji Won Han; Tae Hui Kim; Kayoung Kim; Tae Hyun Kim; Jae Young Park; Seung Wan Suh; Ji Young Seo; Yoonseop So; Kyoung Hwan Lee; Ju Ri Lee; Hyeon Jeong; Hyun-Ghang Jeong; Kyuhee Han; Jong Woo Hong; Ki Woong Kim Journal: Dement Geriatr Cogn Disord Date: 2018-06-28 Impact factor: 2.959
Authors: B T Thomas Yeo; Fenna M Krienen; Jorge Sepulcre; Mert R Sabuncu; Danial Lashkari; Marisa Hollinshead; Joshua L Roffman; Jordan W Smoller; Lilla Zöllei; Jonathan R Polimeni; Bruce Fischl; Hesheng Liu; Randy L Buckner Journal: J Neurophysiol Date: 2011-06-08 Impact factor: 2.714
Authors: Aisling M O'Halloran; Nils Pénard; Alessandra Galli; Chie Wei Fan; Ian H Robertson; Rose Anne Kenny Journal: BMC Geriatr Date: 2011-12-19 Impact factor: 3.921
Authors: On-Yee Lo; Mark A Halko; Junhong Zhou; Rachel Harrison; Lewis A Lipsitz; Brad Manor Journal: Front Aging Neurosci Date: 2017-11-29 Impact factor: 5.750