Literature DB >> 35092908

Synergies are minimally affected during emulation of cerebral palsy gait patterns.

Alyssa M Spomer1, Robin Z Yan2, Michael H Schwartz3, Katherine M Steele2.   

Abstract

Muscle synergy analysis is commonly used to characterize motor control during dynamic tasks like walking. For clinical populations, such as children with cerebral palsy (CP), synergies are altered compared to nondisabled (ND) peers and have been associated with both function and treatment outcomes. However, the factors that contribute to altered synergies remain unclear. In particular, the extent to which synergies reflect altered biomechanics (e.g., changes in gait) or underlying neurologic injury is debated. To evaluate the effect that altered biomechanics have on synergies, we compared synergy complexity and structure while ND individuals (n = 14) emulated four common CP gait patterns (equinus, equinus-crouch, mild-crouch, and moderate crouch). Secondarily, we compared the similarity of ND synergies during emulation to synergies from a retrospective cohort of individuals with CP walking in similar gait patterns (n = 28 per pattern). During emulation, ND individuals recruited similar synergies as baseline walking. However, pattern-specific deviations in synergy activations and complexity emerged. In particular, equinus gait altered plantarflexor activation timing and reduced synergy complexity. Importantly, ND synergies during emulation were distinct from those observed in CP for all gait patterns. These results suggest that altered gait patterns are not primarily driving the changes in synergies observed in CP, highlighting the value of using synergies as a tool to capture patient-specific differences in motor control. However, they also highlight the sensitivity of both synergy activations and complexity to altered biomechanics, which should be considered when using these measures in clinical care.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cerebral palsy; Crouch gait; Electromyography; Emulation; Equinus gait; Muscle synergies

Mesh:

Year:  2022        PMID: 35092908      PMCID: PMC8916095          DOI: 10.1016/j.jbiomech.2022.110953

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  49 in total

1.  Prevalence of specific gait abnormalities in children with cerebral palsy: influence of cerebral palsy subtype, age, and previous surgery.

Authors:  Tishya A L Wren; Susan Rethlefsen; Robert M Kay
Journal:  J Pediatr Orthop       Date:  2005 Jan-Feb       Impact factor: 2.324

Review 2.  Neuromechanics of muscle synergies for posture and movement.

Authors:  Lena H Ting; J Lucas McKay
Journal:  Curr Opin Neurobiol       Date:  2008-03-04       Impact factor: 6.627

3.  Learning new gait patterns: Exploratory muscle activity during motor learning is not predicted by motor modules.

Authors:  Rajiv Ranganathan; Chandramouli Krishnan; Yasin Y Dhaher; William Z Rymer
Journal:  J Biomech       Date:  2016-02-10       Impact factor: 2.712

4.  Crouch gait patterns defined using k-means cluster analysis are related to underlying clinical pathology.

Authors:  Adam Rozumalski; Michael H Schwartz
Journal:  Gait Posture       Date:  2009-06-16       Impact factor: 2.840

5.  Subject-specific muscle synergies in human balance control are consistent across different biomechanical contexts.

Authors:  Gelsy Torres-Oviedo; Lena H Ting
Journal:  J Neurophysiol       Date:  2010-04-14       Impact factor: 2.714

6.  Modular control of varied locomotor tasks in children with incomplete spinal cord injuries.

Authors:  Emily J Fox; Nicole J Tester; Steven A Kautz; Dena R Howland; David J Clark; Cyndi Garvan; Andrea L Behrman
Journal:  J Neurophysiol       Date:  2013-06-12       Impact factor: 2.714

7.  Electromyography Data Processing Impacts Muscle Synergies during Gait for Unimpaired Children and Children with Cerebral Palsy.

Authors:  Benjamin R Shuman; Michael H Schwartz; Katherine M Steele
Journal:  Front Comput Neurosci       Date:  2017-06-06       Impact factor: 2.380

8.  Muscle Synergies in Response to Biofeedback-Driven Gait Adaptations in Children With Cerebral Palsy.

Authors:  Adam T C Booth; Marjolein M van der Krogt; Jaap Harlaar; Nadia Dominici; Annemieke I Buizer
Journal:  Front Physiol       Date:  2019-09-27       Impact factor: 4.566

9.  Five basic muscle activation patterns account for muscle activity during human locomotion.

Authors:  Y P Ivanenko; R E Poppele; F Lacquaniti
Journal:  J Physiol       Date:  2004-01-14       Impact factor: 5.182

10.  Pilot evaluation of changes in motor control after wearable robotic resistance training in children with cerebral palsy.

Authors:  Benjamin C Conner; Michael H Schwartz; Zachary F Lerner
Journal:  J Biomech       Date:  2021-07-08       Impact factor: 2.789

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