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Active Prospective Control Is Required for Effective Sensorimotor Learning

Overview of attention for article published in PLOS ONE, October 2013
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Title
Active Prospective Control Is Required for Effective Sensorimotor Learning
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077609
Pubmed ID
Authors

Winona Snapp-Childs, Elizabeth Casserly, Mark Mon-Williams, Geoffrey P. Bingham

Abstract

Passive modeling of movements is often used in movement therapy to overcome disabilities caused by stroke or other disorders (e.g. Developmental Coordination Disorder or Cerebral Palsy). Either a therapist or, recently, a specially designed robot moves or guides the limb passively through the movement to be trained. In contrast, action theory has long suggested that effective skill acquisition requires movements to be actively generated. Is this true? In view of the former, we explicitly tested the latter. Previously, a method was developed that allows children with Developmental Coordination Disorder to produce effective movements actively, so as to improve manual performance to match that of typically developing children. In the current study, we tested practice using such active movements as compared to practice using passive movement. The passive movement employed, namely haptic tracking, provided a strong test of the comparison, one that showed that the mere inaction of the muscles is not the problem. Instead, lack of prospective control was. The result was no effective learning with passive movement while active practice with prospective control yielded significant improvements in performance.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 2 2%
Sweden 1 <1%
Japan 1 <1%
France 1 <1%
Unknown 97 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 13%
Student > Master 12 12%
Researcher 10 10%
Student > Bachelor 10 10%
Student > Doctoral Student 6 6%
Other 21 20%
Unknown 32 31%
Readers by discipline Count As %
Psychology 19 18%
Medicine and Dentistry 12 12%
Nursing and Health Professions 11 11%
Sports and Recreations 5 5%
Neuroscience 4 4%
Other 18 17%
Unknown 35 34%