Muscle synergy patterns as physiological markers of motor cortical damage

The experimental findings herein reported are aimed at gaining a perspective on the complex neural events that follow lesions of the motor cortical areas. Cortical damage, whether by trauma or stroke, interferes with the flow of descending signals to the modular interneuronal structures of the spina...

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Main Authors: Cheung, Vincent Chi-Kwan, Turolla, Andrea, Agostini, Michela, Silvoni, Stefano, Bennis, Caoimhe, Kasi, Patrick, Paganoni, Sabrina, Bonato, Paolo, Bizzi, Emilio
Other Authors: McGovern Institute for Brain Research at MIT
Format: Article
Language:en_US
Published: National Academy of Sciences (U.S.) 2013
Online Access:http://hdl.handle.net/1721.1/78843
https://orcid.org/0000-0002-7644-4498
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author Cheung, Vincent Chi-Kwan
Turolla, Andrea
Agostini, Michela
Silvoni, Stefano
Bennis, Caoimhe
Kasi, Patrick
Paganoni, Sabrina
Bonato, Paolo
Bizzi, Emilio
author2 McGovern Institute for Brain Research at MIT
author_facet McGovern Institute for Brain Research at MIT
Cheung, Vincent Chi-Kwan
Turolla, Andrea
Agostini, Michela
Silvoni, Stefano
Bennis, Caoimhe
Kasi, Patrick
Paganoni, Sabrina
Bonato, Paolo
Bizzi, Emilio
author_sort Cheung, Vincent Chi-Kwan
collection MIT
description The experimental findings herein reported are aimed at gaining a perspective on the complex neural events that follow lesions of the motor cortical areas. Cortical damage, whether by trauma or stroke, interferes with the flow of descending signals to the modular interneuronal structures of the spinal cord. These spinal modules subserve normal motor behaviors by activating groups of muscles as individual units (muscle synergies). Damage to the motor cortical areas disrupts the orchestration of the modules, resulting in abnormal movements. To gain insights into this complex process, we recorded myoelectric signals from multiple upper-limb muscles in subjects with cortical lesions. We used a factorization algorithm to identify the muscle synergies. Our factorization analysis revealed, in a quantitative way, three distinct patterns of muscle coordination—including preservation, merging, and fractionation of muscle synergies—that reflect the multiple neural responses that occur after cortical damage. These patterns varied as a function of both the severity of functional impairment and the temporal distance from stroke onset. We think these muscle-synergy patterns can be used as physiological markers of the status of any patient with stroke or trauma, thereby guiding the development of different rehabilitation approaches, as well as future physiological experiments for a further understanding of postinjury mechanisms of motor control and recovery.
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spelling mit-1721.1/788432022-09-27T18:51:23Z Muscle synergy patterns as physiological markers of motor cortical damage Cheung, Vincent Chi-Kwan Turolla, Andrea Agostini, Michela Silvoni, Stefano Bennis, Caoimhe Kasi, Patrick Paganoni, Sabrina Bonato, Paolo Bizzi, Emilio McGovern Institute for Brain Research at MIT Cheung, Vincent Chi-Kwan Bizzi, Emilio The experimental findings herein reported are aimed at gaining a perspective on the complex neural events that follow lesions of the motor cortical areas. Cortical damage, whether by trauma or stroke, interferes with the flow of descending signals to the modular interneuronal structures of the spinal cord. These spinal modules subserve normal motor behaviors by activating groups of muscles as individual units (muscle synergies). Damage to the motor cortical areas disrupts the orchestration of the modules, resulting in abnormal movements. To gain insights into this complex process, we recorded myoelectric signals from multiple upper-limb muscles in subjects with cortical lesions. We used a factorization algorithm to identify the muscle synergies. Our factorization analysis revealed, in a quantitative way, three distinct patterns of muscle coordination—including preservation, merging, and fractionation of muscle synergies—that reflect the multiple neural responses that occur after cortical damage. These patterns varied as a function of both the severity of functional impairment and the temporal distance from stroke onset. We think these muscle-synergy patterns can be used as physiological markers of the status of any patient with stroke or trauma, thereby guiding the development of different rehabilitation approaches, as well as future physiological experiments for a further understanding of postinjury mechanisms of motor control and recovery. National Institutes of Health (U.S.) (Grant C1-NS068103-0) 2013-05-07T20:07:52Z 2013-05-07T20:07:52Z 2012-08 2012-06 Article http://purl.org/eprint/type/JournalArticle 0027-8424 1091-6490 http://hdl.handle.net/1721.1/78843 Cheung, V. C. K. et al. “Muscle Synergy Patterns as Physiological Markers of Motor Cortical Damage.” Proceedings of the National Academy of Sciences 109.36 (2012): 14652–14656. ©2012 National Academy of Sciences https://orcid.org/0000-0002-7644-4498 en_US http://dx.doi.org/10.1073/pnas.1212056109 Proceedings of the National Academy of Sciences of the United States of America Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf National Academy of Sciences (U.S.) PNAS
spellingShingle Cheung, Vincent Chi-Kwan
Turolla, Andrea
Agostini, Michela
Silvoni, Stefano
Bennis, Caoimhe
Kasi, Patrick
Paganoni, Sabrina
Bonato, Paolo
Bizzi, Emilio
Muscle synergy patterns as physiological markers of motor cortical damage
title Muscle synergy patterns as physiological markers of motor cortical damage
title_full Muscle synergy patterns as physiological markers of motor cortical damage
title_fullStr Muscle synergy patterns as physiological markers of motor cortical damage
title_full_unstemmed Muscle synergy patterns as physiological markers of motor cortical damage
title_short Muscle synergy patterns as physiological markers of motor cortical damage
title_sort muscle synergy patterns as physiological markers of motor cortical damage
url http://hdl.handle.net/1721.1/78843
https://orcid.org/0000-0002-7644-4498
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