Document Detail

Abnormal sensorimotor control, but intact force field adaptation, in multiple sclerosis subjects with no clinical disability.
MedLine Citation:
PMID:  18208874     Owner:  NLM     Status:  MEDLINE    
In MS subjects with no clinical disability, we assessed sensorimotor organization and their ability to adapt to an unfamiliar dynamical environment. Eleven MS subjects performed reaching movements while a robot generated a speed-dependent force field. Control and adaptation performance were compared with that of an equal number of control subjects. During a familiarization phase, when the robot generated no forces, the movements of MS subjects were more curved, displayed greater and more variable directional errors and a longer deceleration phase. During the force field phase, both MS and control subjects gradually learned to predict the robot-generated forces. The rates of adaptation were similar, but MS subjects showed a greater variability in responding to the force field. These results suggest that MS subjects have a preserved capability of learning to predict the effects of the forces, but make greater errors when actually using such predictions to generate movements. Inaccurate motor commands are then compensated later in the movement through an extra amount of sensory-based corrections. This indicates that early in the disease MS subjects have intact adaptive capabilities, but impaired movement execution.
Maura Casadio; Vittorio Sanguineti; Pietro Morasso; Claudio Solaro
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-01-21
Journal Detail:
Title:  Multiple sclerosis (Houndmills, Basingstoke, England)     Volume:  14     ISSN:  1352-4585     ISO Abbreviation:  Mult. Scler.     Publication Date:  2008 Apr 
Date Detail:
Created Date:  2008-04-18     Completed Date:  2008-08-01     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9509185     Medline TA:  Mult Scler     Country:  England    
Other Details:
Languages:  eng     Pagination:  330-42     Citation Subset:  IM    
Department of Informatics, Systems and Telematics and Research Centre for Neuroscience and Neuroengineering, University of Genoa, via Opera Pia 13, Genoa 16145, Italy.
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MeSH Terms
Adaptation, Physiological / physiology
Disability Evaluation
Hand / physiology
Middle Aged
Models, Biological*
Motor Neurons / physiology*
Movement / physiology*
Multiple Sclerosis, Relapsing-Remitting / physiopathology*,  rehabilitation*
Neurons, Afferent / physiology*
Physical Therapy Modalities / instrumentation
Predictive Value of Tests

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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