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Weight-supported training of the upper extremity in children with cerebral palsy: a motor learning study

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, August 2017
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Title
Weight-supported training of the upper extremity in children with cerebral palsy: a motor learning study
Published in
Journal of NeuroEngineering and Rehabilitation, August 2017
DOI 10.1186/s12984-017-0293-3
Pubmed ID
Authors

Jeffrey W. Keller, Hubertus J.A. van Hedel

Abstract

Novel neurorehabilitation technologies build upon treatment principles derived from motor learning studies. However, few studies have investigated motor learning with assistive devices in children and adolescents with Cerebral Palsy (CP). The aim of this study was to investigate whether children with CP who trained with weight support in a playful, virtual environment would improve upper extremity task performance (i.e. skill acquisition), transfer, and retention, three aspects that indicate whether motor learning might have occurred or not. Eleven children with CP (mean age 13.3 years, standard deviation 3.4 years), who were mildly to moderately impaired, participated. They played in the Armeo® Spring the exergame Moorhuhn with their more affected arm during 3 days (70 min pure play time). For this within-subject design, kinematic assessments, the Box and Block Test, and five items of the Melbourne Assessment were administered twice during a baseline week (one week before the intervention), directly before and after the intervention, and one day after the training phase (retention). The average exergame score improved from 209.55 to 339.73 (p < 0.001, Cohen's d = 1.80), indicating skill acquisition. The change in the Box and Block test improved from 0.45 (baseline week) to 3.95 (intervention week; p = 0.008, d = 1.59) indicating skill transfer. The kinematic assessments and the Melbourne items did not change. Improvement in game score and Box and Bock Test persisted one day later (retention). We found evidence indicating the successful acquisition, transfer, and retention of upper extremity skills in children with CP. We therefore infer that motor learning occurred when children with CP trained their more affected arm with weight-support in a playful, virtual environment.

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The data shown below were collected from the profiles of 2 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 155 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 14%
Student > Master 22 14%
Student > Ph. D. Student 17 11%
Student > Bachelor 15 10%
Other 7 5%
Other 21 14%
Unknown 51 33%
Readers by discipline Count As %
Nursing and Health Professions 24 15%
Engineering 16 10%
Medicine and Dentistry 12 8%
Sports and Recreations 11 7%
Neuroscience 9 6%
Other 27 17%
Unknown 56 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 September 2017.
All research outputs
#14,080,568
of 23,002,898 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#699
of 1,290 outputs
Outputs of similar age
#168,644
of 315,734 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#14
of 23 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,290 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 315,734 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.