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Non-neural Muscle Weakness Has Limited Influence on Complexity of Motor Control during Gait

Overview of attention for article published in Frontiers in Human Neuroscience, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Title
Non-neural Muscle Weakness Has Limited Influence on Complexity of Motor Control during Gait
Published in
Frontiers in Human Neuroscience, January 2018
DOI 10.3389/fnhum.2018.00005
Pubmed ID
Authors

Marije Goudriaan, Benjamin R. Shuman, Katherine M. Steele, Marleen Van den Hauwe, Nathalie Goemans, Guy Molenaers, Kaat Desloovere

Abstract

Cerebral palsy (CP) and Duchenne muscular dystrophy (DMD) are neuromuscular disorders characterized by muscle weakness. Weakness in CP has neural and non-neural components, whereas in DMD, weakness can be considered as a predominantly non-neural problem. Despite the different underlying causes, weakness is a constraint for the central nervous system when controlling gait. CP demonstrates decreased complexity of motor control during gait from muscle synergy analysis, which is reflected by a higher total variance accounted for by one synergy (tVAF1). However, it remains unclear if weakness directly contributes to higher tVAF1in CP, or whether altered tVAF1reflects mainly neural impairments. If muscle weakness directly contributes to higher tVAF1, then tVAF1should also be increased in DMD. To examine the etiology of increased tVAF1, muscle activity data of gluteus medius, rectus femoris, medial hamstrings, medial gastrocnemius, and tibialis anterior were measured at self-selected walking speed, and strength data from knee extensors, knee flexors, dorsiflexors and plantar flexors, were analyzed in 15 children with CP [median (IQR) age: 8.9 (2.2)], 15 boys with DMD [8.7 (3.1)], and 15 typical developing (TD) children [8.6 (2.7)]. We computed tVAF1from 10 concatenated steps with non-negative matrix factorization, and compared tVAF1between the three groups with a Mann-WhineyU-test. Spearman's rank correlation coefficients were used to determine if weakness in specific muscle groups contributed to altered tVAF1. No significant differences in tVAF1were found between DMD [tVAF1: 0.60 (0.07)] and TD children [0.65 (0.07)], while tVAF1was significantly higher in CP [(0.74 (0.09)] than in the other groups (bothp< 0.005). In CP, weakness in the plantar flexors was related to higher tVAF1(r= -0.72). In DMD, knee extensor weakness related to increased tVAF1(r= -0.50). These results suggest that the non-neural weakness in DMD had limited influence on complexity of motor control during gait and that the higher tVAF1in children with CP is mainly related to neural impairments caused by the brain lesion.

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X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 19%
Student > Master 18 17%
Researcher 15 14%
Student > Bachelor 10 9%
Student > Doctoral Student 7 6%
Other 17 16%
Unknown 20 19%
Readers by discipline Count As %
Medicine and Dentistry 22 20%
Nursing and Health Professions 13 12%
Neuroscience 9 8%
Engineering 8 7%
Sports and Recreations 8 7%
Other 13 12%
Unknown 35 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 October 2022.
All research outputs
#2,174,049
of 25,708,267 outputs
Outputs from Frontiers in Human Neuroscience
#987
of 7,750 outputs
Outputs of similar age
#48,916
of 451,110 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#19
of 142 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,750 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 451,110 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.