Towards functional restoration for persons with limb amputation: A dual-stage implementation of regenerative agonist-antagonist myoneural interfaces
Name
s41598-018-38096-z.pdf
Description
Published version
Size
1.79 MB
Format
Adobe PDF
Checksum (MD5)
ae3dee9803e32e81652a4c3948858674
Author(s)
Srinivasan, Shriya S
Diaz, Maurizio
Carty, Matthew
Herr, Hugh M
Date Issued
2019
Journal
Scientific Reports
Publisher
Springer Nature
Version
Final published version
Abstract
© 2019, The Author(s). While amputation has traditionally been viewed as a failure of therapy, recent developments in amputation surgery and neural interfacing demonstrate improved functionality and bidirectional communication with prosthetic devices. The agonist antagonist myoneural interface (AMI) is one such bi-directional neural communication model comprised of two muscles, an agonist and an antagonist, surgically connected in series within the amputated residuum such that contraction of one muscle stretches the other. By preserving agonist-antagonist muscle dynamics, the AMI allows proprioceptive signals from mechanoreceptors within both muscles to be communicated to the central nervous system. Preliminary human evidence suggests that AMIs have the capacity to provide high fidelity control of a prosthetic device, force feedback, and natural proprioception. However, AMIs have been implemented only in planned amputations and require healthy distal tissues, whereas the majority of amputations occur in patients who do not have healthy distal tissues. Through the use of a dual-stage surgical procedure which leverages existent tissues, this study proposes a revision model for implementation of the AMI in patients who are undergoing traumatic amputation or have already undergone a standard amputation. This paper validates the resulting AMI’s physiology, revealing robust viability and mechanical and electrophysiological function. We demonstrate the presence of H-waves in regenerative grafts, indicating the incorporation of the AMI into physiological reflexive loops.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Center for Extreme Bionics
Massachusetts Institute of Technology. Media Laboratory
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/S41598-018-38096-Z
