The functional role of automatic body response in shaping voluntary actions based on muscle synergy theory

Fady S. Alnajjar, Vincent Berenz, Shingo Shimoda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The functional role of automatic body response in forming voluntary actions remain controversial. We here support the hypothesis that the automatic body responses could be used as a reference to adapt voluntary actions to the environment. We validate this hypothesis by analyzing human body movements from the perspective of muscle synergy. In this study, a horizontal shoulder adduction of the dominant arm of four healthy subjects was examined in various tasks. The tasks include reflex and voluntary movements in regular and modified environments. Preliminary results were encouraging; the number and the consistency between the utilized synergies in automatic and voluntary tasks were fairly correlated. In contrast, there was a lack of the correlation when the environment was abruptly modified (an additional resistance applied to the voluntary movement). This lack of correlation, however, was gradually adjusted through training. Our results suggest that automatic synergy may encode some features which could be used by the central nervous system to shape the voluntary synergy.

Original languageEnglish
Title of host publication2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Pages1230-1233
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: Nov 6 2013Nov 8 2013

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Conference

Conference2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Country/TerritoryUnited States
CitySan Diego, CA
Period11/6/1311/8/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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