Document Detail


Motor prediction at the edge of instability: alteration of grip force control during changes in bimanual coordination.
MedLine Citation:
PMID:  21038992     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
Predicting the consequences of actions is fundamental for skilled motor behavior. We investigated whether motor prediction is influenced by the fact that some movements are easier to perform and stabilize than others. Twelve subjects performed a bimanual rhythmical task either symmetrically or asymmetrically (the latter being more difficult and less stable) while oscillating in each hand an object attached to an elastic cord. Motor prediction was monitored through the adequacy of anticipatory grip force adjustments with respect to the elastic resisting force. Results showed less adequate predictive control during asymmetrical movements (compared with symmetrical ones). Furthermore, switching between modes of coordination induced even larger alterations. An interesting finding was that grip force control did not always stabilize around the expected value after voluntary transition. We conclude that motor prediction is affected by the degree of coordination between the upper limbs and by phase transitions and is prone to carryover effects.
Authors:
Frédéric Danion; Viktor K Jirsa
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of experimental psychology. Human perception and performance     Volume:  36     ISSN:  1939-1277     ISO Abbreviation:  J Exp Psychol Hum Percept Perform     Publication Date:  2010 Dec 
Date Detail:
Created Date:  2010-12-07     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7502589     Medline TA:  J Exp Psychol Hum Percept Perform     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1684-92     Citation Subset:  IM    
Affiliation:
Theoretical Neuroscience Group, Institut des Sciences du Mouvement E. J. Marey UMR 6233, Universite de la Mediterranee, CNRS, Marseille, France. frederic.danion@univmed.fr
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