Literature DB >> 34244725

Gait Variability Is Associated With the Strength of Functional Connectivity Between the Default and Dorsal Attention Brain Networks: Evidence From Multiple Cohorts.

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.   

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.
© The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Brain networks; Falls; Functional magnetic resonance imaging; Resting state; Unsteady gait

Mesh:

Year:  2021        PMID: 34244725      PMCID: PMC8436983          DOI: 10.1093/gerona/glab200

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.591


  47 in total

1.  Gait Variability Can Predict the Risk of Cognitive Decline in Cognitively Normal Older People.

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

2.  Transcranial Direct Current Stimulation May Improve Cognitive-Motor Function in Functionally Limited Older Adults.

Authors:  Brad Manor; Junhong Zhou; Rachel Harrison; On-Yee Lo; Thomas G Travison; Jeffrey M Hausdorff; Alvaro Pascual-Leone; Lewis Lipsitz
Journal:  Neurorehabil Neural Repair       Date:  2018-08-22       Impact factor: 3.919

3.  The organization of the human cerebral cortex estimated by intrinsic functional connectivity.

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

4.  Gait and cognition: the relationship between gait stability and variability with executive function in persons with and without dementia.

Authors:  Trienke Ijmker; Claudine J C Lamoth
Journal:  Gait Posture       Date:  2011-10-02       Impact factor: 2.840

5.  Gait variability and fall risk in community-living older adults: a 1-year prospective study.

Authors:  J M Hausdorff; D A Rios; H K Edelberg
Journal:  Arch Phys Med Rehabil       Date:  2001-08       Impact factor: 3.966

6.  Altered organization of the dorsal attention network is associated with freezing of gait in Parkinson's disease.

Authors:  Inbal Maidan; Yael Jacob; Nir Giladi; Jeffrey M Hausdorff; Anat Mirelman
Journal:  Parkinsonism Relat Disord       Date:  2019-02-23       Impact factor: 4.891

7.  Increased gait variability is associated with the history of falls in patients with cerebellar ataxia.

Authors:  Roman Schniepp; Max Wuehr; Cornelia Schlick; Sabrina Huth; Cauchy Pradhan; Marianne Dieterich; Thomas Brandt; Klaus Jahn
Journal:  J Neurol       Date:  2013-11-22       Impact factor: 4.849

8.  Regional homogeneity alterations differentiate between tremor dominant and postural instability gait difficulty subtypes of Parkinson's disease.

Authors:  Siming Jiang; Min Wang; Li Zhang; Yongsheng Yuan; Qing Tong; Jian Ding; Jianwei Wang; Qinrong Xu; Kezhong Zhang
Journal:  J Neural Transm (Vienna)       Date:  2015-12-14       Impact factor: 3.575

9.  Falls and falls efficacy: the role of sustained attention in older adults.

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

10.  Gait Speed and Gait Variability Are Associated with Different Functional Brain Networks.

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

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  2 in total

1.  Network-Based Transcranial Direct Current Stimulation May Modulate Gait Variability in Young Healthy Adults.

Authors:  Rong Zhou; Junhong Zhou; Yanwen Xiao; Jiawei Bi; Maria Chiara Biagi; Giulio Ruffini; Natalia A Gouskova; Brad Manor; Yu Liu; Jiaojiao Lü; On-Yee Lo
Journal:  Front Hum Neurosci       Date:  2022-06-09       Impact factor: 3.473

2.  Effects of aging on cognitive and brain inter-network integration patterns underlying usual and dual-task gait performance.

Authors:  Amgad Droby; Eleanna Varangis; Christian Habeck; Jeffrey M Hausdorff; Yaakov Stern; Anat Mirelman; Inbal Maidan
Journal:  Front Aging Neurosci       Date:  2022-09-28       Impact factor: 5.702

  2 in total

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