Myomatrix arrays for high-definition muscle recording

Author:

Chung Bryce1,Zia Muneeb2ORCID,Thomas Kyle A.3,Michaels Jonathan A.4ORCID,Jacob Amanda1,Pack Andrea5,Williams Matthew J.3,Nagapudi Kailash1,Teng Lay Heng1,Arrambide Eduardo1,Ouellette Logan1,Oey Nicole1,Gibbs Rhuna1,Anschutz Philip6,Lu Jiaao7,Wu Yu2,Kashefi Mehrdad4ORCID,Oya Tomomichi4,Kersten Rhonda4,Mosberger Alice C.8ORCID,O’Connell Sean3ORCID,Wang Runming9,Marques Hugo10ORCID,Mendes Ana Rita10ORCID,Lenschow Constanze1011ORCID,Kondakath Gayathri12ORCID,Kim Jeong Jun13ORCID,Olson William13ORCID,Quinn Kiara N.14ORCID,Perkins Pierce14ORCID,Gatto Graziana1516ORCID,Thanawalla Ayesha15ORCID,Coltman Susan17ORCID,Kim Taegyo18ORCID,Smith Trevor18ORCID,Binder-Markey Ben19ORCID,Zaback Martin20,Thompson Christopher K.20ORCID,Giszter Simon18ORCID,Person Abigail17ORCID,Goulding Martyn15ORCID,Azim Eiman15ORCID,Thakor Nitish14ORCID,O’Connor Daniel13ORCID,Trimmer Barry12ORCID,Lima Susana Q.10ORCID,Carey Megan R.10ORCID,Pandarinath Chethan9ORCID,Costa Rui M.821ORCID,Pruszynski J. Andrew4ORCID,Bakir Muhannad2ORCID,Sober Samuel J.1ORCID

Affiliation:

1. Department of Biology, Emory University (Atlanta, GA, USA)

2. School of Electrical and Computer Engineering, Georgia Institute of Technology (Atlanta, GA, USA)

3. Graduate Program in Biomedical Engineering at Emory University and Georgia Tech (Atlanta, GA, USA)

4. Department of Physiology and Pharmacology, Western University (London, ON, Canada)

5. Neuroscience Graduate Program, Emory University (Atlanta, GA, USA)

6. Graduate Program in BioEngineering, Georgia Tech (Atlanta, GA, USA)

7. Graduate Program in Electrical and Computer Engineering, Georgia Tech (Atlanta, GA, USA)

8. Zuckerman Mind Brain Behavior Institute at Columbia University (New York, NY, USA)

9. Department of Biomedical Engineering at Emory University and Georgia Tech (Atlanta, GA, USA)

10. Champalimaud Neuroscience Programme, Champalimaud Foundation (Lisbon, Portugal)

11. Institute of Biology, Otto-von-Guericke University, (Magdeburg, Germany)

12. Department of Biology, Tufts University (Medford, MA, USA)

13. Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine (Baltimore, MD, USA)

14. Departments of Biomedical Engineering and Neurology, Johns Hopkins School of Medicine (Baltimore, MD, USA)

15. Salk Institute for Biological Studies (La Jolla, CA, USA)

16. Department of Neurology, University Hospital of Cologne (Cologne, Germany)

17. Department of Physiology and Biophysics, University of Colorado Anschutz Medical Campus (Aurora, CO, USA)

18. Department of Neurobiology & Anatomy, Drexel University, College of Medicine (Philadelphia, PA, USA)

19. Department of Physical Therapy and Rehabilitation Sciences, Drexel University College of Nursing and Health Professions (Philadelphia, PA)

20. Department of Health and Rehabilitation Sciences, Temple University (Philadelphia, PA, USA)

21. Allen Institute (Seattle, WA, USA)

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 in identifying pathologies of the motor system.

Publisher

eLife Sciences Publications, Ltd

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