Literature DB >> 9549527

Relationships between timing of muscle excitation and impaired motor performance during cyclical lower extremity movement in post-stroke hemiplegia.

S A Kautz1, D A Brown.   

Abstract

We used an ergometer pedalling paradigm to relate abnormalities in the timing of muscle excitation to the impaired ability to perform mechanical work in the plegic lower limbs of persons with hemiplegia. The EMGs of seven leg muscles and pedal forces were measured bilaterally during pedalling for 15 persons with hemiplegia and 12 neurologically intact age-matched control subjects. Subjects were asked to pedal at a moderate workload (135 J) and cadence (40 r.p.m.). While intersubject variability was high, the external mechanical work output of the plegic leg was significantly less (from 79.6% to -28.9% of the work produced by average leg of control subjects) as a result of less positive work and more negative work being done. The timing of EMG in individual plegic limb muscles exhibited two distinct types of abnormalities that were significantly correlated with this lesser work production: prolonged excitation in the vastus medialis and phase-advanced excitation (both early initiation and early termination) in the rectus femoris and semimembranosus. These results suggest that muscles were differently affected depending on their function, external power-producing muscles (e.g. vastus medialis) showing prolonged excitation and muscles that normally maintain crank progression during limb transitions (e.g. semimembranosus) showing phase-advanced excitation.

Entities:  

Mesh:

Year:  1998        PMID: 9549527     DOI: 10.1093/brain/121.3.515

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  37 in total

1.  Neuromuscular and biomechanical coupling in human cycling: adaptations to changes in crank length.

Authors:  Katya Mileva; Duncan Turner
Journal:  Exp Brain Res       Date:  2003-08-01       Impact factor: 1.972

2.  Impaired interlimb coordination of voluntary leg movements in poststroke hemiparesis.

Authors:  Shih-Chiao Tseng; Susanne M Morton
Journal:  J Neurophysiol       Date:  2010-05-12       Impact factor: 2.714

3.  Improving poststroke recovery: neuroplasticity and task-oriented training.

Authors:  Richard L Harvey
Journal:  Curr Treat Options Cardiovasc Med       Date:  2009-06

4.  Variability in spatiotemporal step characteristics and its relationship to walking performance post-stroke.

Authors:  Chitralakshmi K Balasubramanian; Richard R Neptune; Steven A Kautz
Journal:  Gait Posture       Date:  2008-12-03       Impact factor: 2.840

5.  Bilateral limb phase relationship and its potential to alter muscle activity phasing during locomotion.

Authors:  Laila Alibiglou; Citlali López-Ortiz; Charles B Walter; David A Brown
Journal:  J Neurophysiol       Date:  2009-09-09       Impact factor: 2.714

6.  Design and Validation of a Lower-Limb Haptic Rehabilitation Robot.

Authors:  Alexander R Dawson-Elli; Peter G Adamczyk
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-07       Impact factor: 3.802

7.  Ankle dexterity remains intact in patients with incomplete spinal cord injury in contrast to stroke patients.

Authors:  Brigitte Wirth; Hubertus J A van Hedel; Armin Curt
Journal:  Exp Brain Res       Date:  2008-08-14       Impact factor: 1.972

8.  Stroke-induced synergistic phase shifting and its possible implications for recovery mechanisms.

Authors:  Matt Simkins; Anne Burleigh Jacobs; Nancy Byl; Jacob Rosen
Journal:  Exp Brain Res       Date:  2014-07-18       Impact factor: 1.972

9.  Soleus H-reflex excitability during pedaling post-stroke.

Authors:  Sheila Schindler-Ivens; David A Brown; Gwyn N Lewis; Jens Bo Nielsen; Kathy L Ondishko; Jon Wieser
Journal:  Exp Brain Res       Date:  2008-04-22       Impact factor: 1.972

10.  Direction-dependent phasing of locomotor muscle activity is altered post-stroke.

Authors:  Sheila Schindler-Ivens; David A Brown; John D Brooke
Journal:  J Neurophysiol       Date:  2004-06-02       Impact factor: 2.714

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