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Myomatrix arrays for high-definition muscle recording
Journal article   Open access

Myomatrix arrays for high-definition muscle recording

Bryce Chung, Muneeb Zia, Kyle Thomas, Jonathan A Michaels, Amanda Jacob, Andrea Pack, Matt Williams, Kailash Nagapudi, Lay Heng Teng, Eduardo Arrambide, …
bioRxiv : the preprint server for biology
22 Feb 2023
DOI: https://doi.org/10.1101/2023.02.21.529200
PMID: 36865176
url
https://doi.org/10.1101/2023.02.21.529200View
Preprint (Author's original)Open Access (Publisher-Specific),  Open
url
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980060View
Accepted (AM)Open Access (License Unspecified),  Open

Abstract

Neurons coordinate their activity to produce an astonishing variety of motor behaviors. Our present understanding of motor control has grown rapidly thanks to new methods for recording and analyzing populations of many individual neurons over time. In contrast, current methods for recording the nervous system's actual motor output - the activation of muscle fibers by motor neurons - typically cannot detect the individual electrical events produced by muscle fibers during natural behaviors and scale poorly across species and muscle groups. Here we present a novel class of electrode devices ("Myomatrix arrays") that record muscle activity at cellular resolution across muscles and behaviors. High-density, flexible electrode arrays allow for stable recordings from the muscle fibers activated by a single motor neuron, called a "motor unit", during natural behaviors in many species, including mice, rats, primates, songbirds, frogs, and insects. This technology therefore allows the nervous system's motor output to be monitored in unprecedented detail during complex behaviors across species and muscle morphologies. We anticipate that this technology will allow rapid advances in understanding the neural control of behavior and in identifying pathologies of the motor system.

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