Literature DB >> 26318202

The "butterfly diagram": A gait marker for neurological and cerebellar impairment in people with multiple sclerosis.

Alon Kalron1, Lior Frid2.   

Abstract

People with multiple sclerosis (PwMS) frequently experience walking and balance impairments. In our previous report, we demonstrated that spatio-temporal gait parameters, collected by the Zebris FDM-T instrumented treadmill (Zebris Medical GmbH, Germany), serve as valid markers of neurological impairment in the MS population. In the current study, we focused on a unique outcome statistic of the instrumented treadmill, the "butterfly" diagram which reflects the variability of the center of pressure trajectory during walking. Therefore, the aim of the study was to examine the relationship between parameters related to the gait butterfly diagram and the level of neurological impairment in PwMS. Specifically we examined whether the gait butterfly parameters can differentiate between MS patients with normal cerebellar function and those suffering from ataxia. Demographic, neurological and gait parameters were collected from 341 PwMS, 213 women, aged 42.3 (S.D.=13.8). MS participants with ataxia demonstrated higher scores relating to the butterfly gait variability parameters compared to PwMS with normal or slightly abnormal cerebellar function. According to the results of the binary regression analysis, gait variability in the ant-post direction was found to explain 18.1% of the variance related to cerebellar function; R(2)=0.181, χ(2)(1)=67.852, P<0.001. Measurements derived from the butterfly diagram are proper estimators for important neurological functions in PwMS and should be considered in order to improve diagnosis and assessment of the MS population.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cerebellar impairment; Gait; Gait variability; Multiple sclerosis; Neurological disease; Treadmill

Mesh:

Year:  2015        PMID: 26318202     DOI: 10.1016/j.jns.2015.08.028

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  8 in total

1.  The relationship between gait variability and cognitive functions differs between fallers and non-fallers in MS.

Authors:  Alon Kalron; Roy Aloni; Mark Dolev; Lior Frid; Uri Givon; Shay Menascu
Journal:  J Neural Transm (Vienna)       Date:  2018-01-19       Impact factor: 3.575

Review 2.  An Update on the Measurement of Motor Cerebellar Dysfunction in Multiple Sclerosis.

Authors:  Katherine Hope Kenyon; Frederique Boonstra; Gustavo Noffs; Helmut Butzkueven; Adam P Vogel; Scott Kolbe; Anneke van der Walt
Journal:  Cerebellum       Date:  2022-06-27       Impact factor: 3.648

3.  Centre of pressure during walking after unilateral transfemoral amputation.

Authors:  Daisuke Ichimura; Genki Hisano; Hiroto Murata; Toshiki Kobayashi; Hiroaki Hobara
Journal:  Sci Rep       Date:  2022-10-19       Impact factor: 4.996

4.  Gait characteristics according to pyramidal, sensory and cerebellar EDSS subcategories in people with multiple sclerosis.

Authors:  Alon Kalron; Uri Givon
Journal:  J Neurol       Date:  2016-06-17       Impact factor: 4.849

5.  On Gait Analysis Estimation Errors Using Force Sensors on a Smart Rollator.

Authors:  Joaquin Ballesteros; Cristina Urdiales; Antonio B Martinez; Jaap H van Dieën
Journal:  Sensors (Basel)       Date:  2016-11-10       Impact factor: 3.576

6.  Gait asymmetry, and bilateral coordination of gait during a six-minute walk test in persons with multiple sclerosis.

Authors:  Meir Plotnik; Joanne M Wagner; Gautam Adusumilli; Amihai Gottlieb; Robert T Naismith
Journal:  Sci Rep       Date:  2020-07-24       Impact factor: 4.379

7.  Effect of Executive Dysfunction on Posture Control and Gait after Stroke.

Authors:  Huixian Yu; Qianqian Zhang; Sihao Liu; Changbin Liu; Pei Dai; Yue Lan; Guangqing Xu; Hao Zhang
Journal:  Evid Based Complement Alternat Med       Date:  2021-10-12       Impact factor: 2.629

8.  The application of principal component analysis to characterize gait and its association with falls in multiple sclerosis.

Authors:  Andrew S Monaghan; Jessie M Huisinga; Daniel S Peterson
Journal:  Sci Rep       Date:  2021-06-17       Impact factor: 4.996

  8 in total

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