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Myomatrix arrays for high-definition muscle recording

Authors :
Bryce Chung
Muneeb Zia
Kyle A Thomas
Jonathan A Michaels
Amanda Jacob
Andrea Pack
Matthew J Williams
Kailash Nagapudi
Lay Heng Teng
Eduardo Arrambide
Logan Ouellette
Nicole Oey
Rhuna Gibbs
Philip Anschutz
Jiaao Lu
Yu Wu
Mehrdad Kashefi
Tomomichi Oya
Rhonda Kersten
Alice C Mosberger
Sean O'Connell
Runming Wang
Hugo Marques
Ana Rita Mendes
Constanze Lenschow
Gayathri Kondakath
Jeong Jun Kim
William Olson
Kiara N Quinn
Pierce Perkins
Graziana Gatto
Ayesha Thanawalla
Susan Coltman
Taegyo Kim
Trevor Smith
Ben Binder-Markey
Martin Zaback
Christopher K Thompson
Simon Giszter
Abigail Person
Martyn Goulding
Eiman Azim
Nitish Thakor
Daniel O'Connor
Barry Trimmer
Susana Q Lima
Megan R Carey
Chethan Pandarinath
Rui M Costa
J Andrew Pruszynski
Muhannad Bakir
Samuel J Sober
Source :
eLife, Vol 12 (2023)
Publication Year :
2023
Publisher :
eLife Sciences Publications Ltd, 2023.

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 unprecedented 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 identifying pathologies of the motor system.

Details

Language :
English
ISSN :
2050084X
Volume :
12
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.563cae1ff0846e3ac2f96ce86dc95ca
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.88551