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Myomatrix arrays for high-definition muscle recording
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 nerv...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980060/ https://www.ncbi.nlm.nih.gov/pubmed/36865176 http://dx.doi.org/10.1101/2023.02.21.529200 |
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author | Chung, Bryce Zia, Muneeb Thomas, Kyle A. Michaels, Jonathan A. Jacob, Amanda Pack, Andrea Williams, Matthew J. Nagapudi, Kailash Teng, Lay Heng Arrambide, Eduardo Ouellette, Logan Oey, Nicole Gibbs, Rhuna Anschutz, Philip Lu, Jiaao Wu, Yu Kashefi, Mehrdad Oya, Tomomichi Kersten, Rhonda Mosberger, Alice C. O’Connell, Sean Wang, Runming Marques, Hugo Mendes, Ana Rita Lenschow, Constanze Kondakath, Gayathri Kim, Jeong Jun Olson, William Quinn, Kiara N. Perkins, Pierce Gatto, Graziana Thanawalla, Ayesha Coltman, Susan Kim, Taegyo Smith, Trevor Binder-Markey, Ben Zaback, Martin Thompson, Christopher K. Giszter, Simon Person, Abigail Goulding, Martyn Azim, Eiman Thakor, Nitish O’Connor, Daniel Trimmer, Barry Lima, Susana Q. Carey, Megan R. Pandarinath, Chethan Costa, Rui M. Pruszynski, J. Andrew Bakir, Muhannad Sober, Samuel J. |
author_facet | Chung, Bryce Zia, Muneeb Thomas, Kyle A. Michaels, Jonathan A. Jacob, Amanda Pack, Andrea Williams, Matthew J. Nagapudi, Kailash Teng, Lay Heng Arrambide, Eduardo Ouellette, Logan Oey, Nicole Gibbs, Rhuna Anschutz, Philip Lu, Jiaao Wu, Yu Kashefi, Mehrdad Oya, Tomomichi Kersten, Rhonda Mosberger, Alice C. O’Connell, Sean Wang, Runming Marques, Hugo Mendes, Ana Rita Lenschow, Constanze Kondakath, Gayathri Kim, Jeong Jun Olson, William Quinn, Kiara N. Perkins, Pierce Gatto, Graziana Thanawalla, Ayesha Coltman, Susan Kim, Taegyo Smith, Trevor Binder-Markey, Ben Zaback, Martin Thompson, Christopher K. Giszter, Simon Person, Abigail Goulding, Martyn Azim, Eiman Thakor, Nitish O’Connor, Daniel Trimmer, Barry Lima, Susana Q. Carey, Megan R. Pandarinath, Chethan Costa, Rui M. Pruszynski, J. Andrew Bakir, Muhannad Sober, Samuel J. |
author_sort | Chung, Bryce |
collection | PubMed |
description | 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 in identifying pathologies of the motor system. |
format | Online Article Text |
id | pubmed-9980060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-99800602023-03-03 Myomatrix arrays for high-definition muscle recording Chung, Bryce Zia, Muneeb Thomas, Kyle A. Michaels, Jonathan A. Jacob, Amanda Pack, Andrea Williams, Matthew J. Nagapudi, Kailash Teng, Lay Heng Arrambide, Eduardo Ouellette, Logan Oey, Nicole Gibbs, Rhuna Anschutz, Philip Lu, Jiaao Wu, Yu Kashefi, Mehrdad Oya, Tomomichi Kersten, Rhonda Mosberger, Alice C. O’Connell, Sean Wang, Runming Marques, Hugo Mendes, Ana Rita Lenschow, Constanze Kondakath, Gayathri Kim, Jeong Jun Olson, William Quinn, Kiara N. Perkins, Pierce Gatto, Graziana Thanawalla, Ayesha Coltman, Susan Kim, Taegyo Smith, Trevor Binder-Markey, Ben Zaback, Martin Thompson, Christopher K. Giszter, Simon Person, Abigail Goulding, Martyn Azim, Eiman Thakor, Nitish O’Connor, Daniel Trimmer, Barry Lima, Susana Q. Carey, Megan R. Pandarinath, Chethan Costa, Rui M. Pruszynski, J. Andrew Bakir, Muhannad Sober, Samuel J. bioRxiv Article 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 in identifying pathologies of the motor system. Cold Spring Harbor Laboratory 2023-09-19 /pmc/articles/PMC9980060/ /pubmed/36865176 http://dx.doi.org/10.1101/2023.02.21.529200 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Chung, Bryce Zia, Muneeb Thomas, Kyle A. Michaels, Jonathan A. Jacob, Amanda Pack, Andrea Williams, Matthew J. Nagapudi, Kailash Teng, Lay Heng Arrambide, Eduardo Ouellette, Logan Oey, Nicole Gibbs, Rhuna Anschutz, Philip Lu, Jiaao Wu, Yu Kashefi, Mehrdad Oya, Tomomichi Kersten, Rhonda Mosberger, Alice C. O’Connell, Sean Wang, Runming Marques, Hugo Mendes, Ana Rita Lenschow, Constanze Kondakath, Gayathri Kim, Jeong Jun Olson, William Quinn, Kiara N. Perkins, Pierce Gatto, Graziana Thanawalla, Ayesha Coltman, Susan Kim, Taegyo Smith, Trevor Binder-Markey, Ben Zaback, Martin Thompson, Christopher K. Giszter, Simon Person, Abigail Goulding, Martyn Azim, Eiman Thakor, Nitish O’Connor, Daniel Trimmer, Barry Lima, Susana Q. Carey, Megan R. Pandarinath, Chethan Costa, Rui M. Pruszynski, J. Andrew Bakir, Muhannad Sober, Samuel J. Myomatrix arrays for high-definition muscle recording |
title | Myomatrix arrays for high-definition muscle recording |
title_full | Myomatrix arrays for high-definition muscle recording |
title_fullStr | Myomatrix arrays for high-definition muscle recording |
title_full_unstemmed | Myomatrix arrays for high-definition muscle recording |
title_short | Myomatrix arrays for high-definition muscle recording |
title_sort | myomatrix arrays for high-definition muscle recording |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980060/ https://www.ncbi.nlm.nih.gov/pubmed/36865176 http://dx.doi.org/10.1101/2023.02.21.529200 |
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