Literature DB >> 23161166

Accelerometry reveals differences in gait variability between patients with multiple sclerosis and healthy controls.

Jessie M Huisinga1, Martina Mancini, Rebecca J St George, Fay B Horak.   

Abstract

Variability of movement reflects important information for the maintenance of the health of the system. For pathological populations, changes in variability during gait signal the presence of abnormal motor control strategies. For persons with multiple sclerosis (PwMS), extensive gait problems have been reported including changes in gait variability. While previous studies have focused on footfall variability, the present study used accelerometers on the trunk to measure variability during walking. Thus, the purpose of this study was to examine the variability of the acceleration pattern of the upper and lower trunk in PwMS compared to healthy controls. We extracted linear and nonlinear measures of gait variability from 30 s of steady state walking for 15 PwMS and 15 age-matched healthy controls. PwMS had altered variability compared to controls with greater Lyapunov exponent in the ML (p < 0.001) and AP (p < 0.001) directions, and greater frequency dispersion in the ML direction (p = 0.034). PwMS also demonstrated greater mean velocity in the ML direction (p = 0.045) and lower root mean square of acceleration in the AP direction (p = 0.040). These findings indicate that PwMS have altered structure of variability of the trunk during gait compared to healthy controls and agree with previous findings related to changes in gait variability in PwMS.

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Mesh:

Year:  2012        PMID: 23161166      PMCID: PMC3987786          DOI: 10.1007/s10439-012-0697-y

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  52 in total

1.  Approximate entropy as a measure of system complexity.

Authors:  S M Pincus
Journal:  Proc Natl Acad Sci U S A       Date:  1991-03-15       Impact factor: 11.205

2.  Quantifying gait abnormalities in persons with multiple sclerosis with minimal disability.

Authors:  Jacob J Sosnoff; Brian M Sandroff; Robert W Motl
Journal:  Gait Posture       Date:  2012-03-17       Impact factor: 2.840

3.  Multiple sclerosis affects the frequency content in the vertical ground reaction forces during walking.

Authors:  Shane R Wurdeman; Jessie M Huisinga; Mary Filipi; Nicholas Stergiou
Journal:  Clin Biomech (Bristol, Avon)       Date:  2010-10-29       Impact factor: 2.063

4.  Age-related changes in gait for multi-surface terrain.

Authors:  Daniel S Marigold; Aftab E Patla
Journal:  Gait Posture       Date:  2007-10-24       Impact factor: 2.840

5.  Gait variability measures reveal differences between multiple sclerosis patients and healthy controls.

Authors:  Jeffrey P Kaipust; Jessie M Huisinga; Mary Filipi; Nicholas Stergiou
Journal:  Motor Control       Date:  2012-04       Impact factor: 1.422

6.  Measures of postural steadiness: differences between healthy young and elderly adults.

Authors:  T E Prieto; J B Myklebust; R G Hoffmann; E G Lovett; B M Myklebust
Journal:  IEEE Trans Biomed Eng       Date:  1996-09       Impact factor: 4.538

7.  Nonlinear analysis of the development of sitting postural control.

Authors:  Regina T Harbourne; Nicholas Stergiou
Journal:  Dev Psychobiol       Date:  2003-05       Impact factor: 3.038

8.  Abnormalities in central motor pathway conduction in multiple sclerosis.

Authors:  J M Cowan; J C Rothwell; J P Dick; P D Thompson; B L Day; C D Marsden
Journal:  Lancet       Date:  1984-08-11       Impact factor: 79.321

9.  Postural control in women with multiple sclerosis: effects of task, vision and symptomatic fatigue.

Authors:  R E A Van Emmerik; J G Remelius; M B Johnson; L H Chung; J A Kent-Braun
Journal:  Gait Posture       Date:  2010-10-12       Impact factor: 2.840

10.  Control of the upper body movements during level walking in patients with facioscapulohumeral dystrophy.

Authors:  M Iosa; C Mazzà; F Pecoraro; I Aprile; E Ricci; A Cappozzo
Journal:  Gait Posture       Date:  2009-09-25       Impact factor: 2.840

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  32 in total

1.  Altered visual and somatosensory feedback affects gait stability in persons with multiple sclerosis.

Authors:  Jordan J Craig; Adam P Bruetsch; Sharon G Lynch; Jessie M Huisinga
Journal:  Hum Mov Sci       Date:  2019-05-28       Impact factor: 2.161

2.  Coordination of trunk and foot acceleration during gait is affected by walking velocity and fall history in elderly adults.

Authors:  Jordan J Craig; Adam P Bruetsch; Jessie M Huisinga
Journal:  Aging Clin Exp Res       Date:  2018-09-07       Impact factor: 3.636

3.  Evaluation of a novel accelerometer for kinetic gait analysis in dogs.

Authors:  Kyle Clark; Charles Caraguel; Lorne Leahey; Romain Béraud
Journal:  Can J Vet Res       Date:  2014-07       Impact factor: 1.310

4.  Body-worn sensors capture variability, but not decline, of gait and balance measures in multiple sclerosis over 18 months.

Authors:  Rebecca I Spain; Martina Mancini; Fay B Horak; Dennis Bourdette
Journal:  Gait Posture       Date:  2013-12-21       Impact factor: 2.840

5.  Dynamic Balance Is Related to Physiological Impairments in Persons With Multiple Sclerosis.

Authors:  Alexander T Peebles; Adam P Bruetsch; Sharon G Lynch; Jessie M Huisinga
Journal:  Arch Phys Med Rehabil       Date:  2017-12-22       Impact factor: 3.966

6.  Coherence analysis of trunk and leg acceleration reveals altered postural sway strategy during standing in persons with multiple sclerosis.

Authors:  Jessie Huisinga; Martina Mancini; Chris Veys; Rebecca Spain; Fay Horak
Journal:  Hum Mov Sci       Date:  2017-12-23       Impact factor: 2.161

7.  Postural response latencies are related to balance control during standing and walking in patients with multiple sclerosis.

Authors:  Jessie M Huisinga; Rebecca J St George; Rebecca Spain; Shannon Overs; Fay B Horak
Journal:  Arch Phys Med Rehabil       Date:  2014-01-18       Impact factor: 3.966

Review 8.  Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis.

Authors:  Mikaela L Frechette; Brett M Meyer; Lindsey J Tulipani; Reed D Gurchiek; Ryan S McGinnis; Jacob J Sosnoff
Journal:  Curr Neurol Neurosci Rep       Date:  2019-09-04       Impact factor: 5.081

9.  The relationship between trunk and foot acceleration variability during walking shows minor changes in persons with multiple sclerosis.

Authors:  Jordan J Craig; Adam P Bruetsch; Sharon G Lynch; Jessie M Huisinga
Journal:  Clin Biomech (Bristol, Avon)       Date:  2017-07-28       Impact factor: 2.063

10.  Relationship between trunk and foot accelerations during walking in healthy adults.

Authors:  Jordan J Craig; Adam Bruetsch; Jessie M Huisinga
Journal:  Gait Posture       Date:  2016-06-08       Impact factor: 2.840

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