Virtual worlds and games for rehabilitation and research (Article, 2008) [WorldCat.org]
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Virtual worlds and games for rehabilitation and research
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Virtual worlds and games for rehabilitation and research

Author: N I Krouchev Affiliation: GRSNC, Univ. de Montreal, Montreal, QC; J F Kalaska Affiliation: GRSNC, Univ. de Montreal, Montreal, QC
Edition/Format: Chapter Chapter
Summary:
Expensive and bulky setups, and center-out whole-arm reaching paradigms have been used extensively in motor control research to explore the neural control of movement in humans and primates. They have led to a number of robust findings about the effect of modified task dynamics onto movement kinematics and motor skill acquisition. A number of controversial findings are related to the role of peripheral reflexes and  Read more...
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Details

All Authors / Contributors: N I Krouchev Affiliation: GRSNC, Univ. de Montreal, Montreal, QC; J F Kalaska Affiliation: GRSNC, Univ. de Montreal, Montreal, QC
ISBN: 978-1-4244-2700-0 978-1-4244-2701-7
Publication:2008 Virtual Rehabilitation; 113-120; IEEE
Unique Identifier: 4801835764
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Abstract:

Expensive and bulky setups, and center-out whole-arm reaching paradigms have been used extensively in motor control research to explore the neural control of movement in humans and primates. They have led to a number of robust findings about the effect of modified task dynamics onto movement kinematics and motor skill acquisition. A number of controversial findings are related to the role of peripheral reflexes and the effect of practice on motor learning, adaptation, and consolidation A related issue is whether the brain actually uses strategies similar to engineering optimal control. Finally, aspects that typically do not get much attention are the roles of subject motivation and the functional relevance of the task to daily activity. Here we introduce a suite of virtual environments for motor skill acquisition, running on ubiquitous highly affordable and portable PC hardware. We explore case studies in both a research and a rehabilitation context, and suggest that our observations are compatible with theory by N.A.Bernstein according to which the brain may perform feasibility search. Unlike a robotic system, the brain tries to achieve solutions to the behavioral tasks that satisfy imposed constraints, even if not yet optimal. When more than one solution is identified, the brain retains the better one for future use. In comparison, a robotic system would search (depth- or width-first) throughout the whole parameter space. This difference is not unlike the one between a grand-master and a chess playing program. Based on a rich variety of acquired behavioral data, we demonstrate clearly that the virtual environments we introduced here have a very large potential to: 1) Reproduce individually targeted elements of motor behavior, which are functionally relevant in everyday life; 2) Drive incremental re-acquisition of increasingly complex and adapted motor programs; 3) Achieve the latter goal by selectively augmenting or suppressing particular strategies depending on their compatibility with residual and readapted patient capacity at a particular point of the rehabilitation process.

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