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Forearm Flexor Muscles in Children with Cerebral Palsy Are Weak, Thin and Stiff

Overview of attention for article published in Frontiers in Computational Neuroscience, April 2017
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Forearm Flexor Muscles in Children with Cerebral Palsy Are Weak, Thin and Stiff
Published in
Frontiers in Computational Neuroscience, April 2017
DOI 10.3389/fncom.2017.00030
Pubmed ID
Authors

Ferdinand von Walden, Kian Jalaleddini, Björn Evertsson, Johanna Friberg, Francisco J. Valero-Cuevas, Eva Pontén

Abstract

Children with cerebral palsy (CP) often develop reduced passive range of motion with age. The determining factor underlying this process is believed to be progressive development of contracture in skeletal muscle that likely changes the biomechanics of the joints. Consequently, to identify the underlying mechanisms, we modeled the mechanical characteristics of the forearm flexors acting across the wrist joint. We investigated skeletal muscle strength (Grippit®) and passive stiffness and viscosity of the forearm flexors in 15 typically developing (TD) children (10 boys/5 girls, mean age 12 years, range 8-18 yrs) and nine children with CP Nine children (6 boys/3 girls, mean age 11 ± 3 years (yrs), range 7-15 yrs) using the NeuroFlexor® apparatus. The muscle stiffness we estimate and report is the instantaneous mechanical response of the tissue that is independent of reflex activity. Furthermore, we assessed cross-sectional area of the flexor carpi radialis (FCR) muscle using ultrasound. Age and body weight did not differ significantly between the two groups. Children with CP had a significantly weaker (-65%, p < 0.01) grip and had smaller cross-sectional area (-43%, p < 0.01) of the FCR muscle. Passive stiffness of the forearm muscles in children with CP was increased 2-fold (p < 0.05) whereas viscosity did not differ significantly between CP and TD children. FCR cross-sectional area correlated to age (R(2) = 0.58, p < 0.01), body weight (R(2) = 0.92, p < 0.0001) and grip strength (R(2) = 0.82, p < 0.0001) in TD children but only to grip strength (R(2) = 0.60, p < 0.05) in children with CP. We conclude that children with CP have weaker, thinner, and stiffer forearm flexors as compared to typically developing children.

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X Demographics

The data shown below were collected from the profiles of 6 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Student > Master 10 17%
Researcher 7 12%
Student > Bachelor 6 10%
Student > Postgraduate 4 7%
Other 1 2%
Unknown 16 28%
Readers by discipline Count As %
Nursing and Health Professions 13 22%
Engineering 11 19%
Medicine and Dentistry 9 16%
Sports and Recreations 3 5%
Mathematics 1 2%
Other 3 5%
Unknown 18 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 June 2017.
All research outputs
#12,841,487
of 22,965,074 outputs
Outputs from Frontiers in Computational Neuroscience
#444
of 1,347 outputs
Outputs of similar age
#144,234
of 309,748 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#15
of 37 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,347 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 65% 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 309,748 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.