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High-density Neural Recordings from Feline Sacral Dorsal Root Ganglia with Thin-film Array

View ORCID ProfileZachariah J. Sperry, Kyounghwan Na, James Jun, View ORCID ProfileLauren R. Madden, Alec Socha, View ORCID ProfileEusik Yoon, View ORCID ProfileJohn P. Seymour, View ORCID ProfileTim M. Bruns
doi: https://doi.org/10.1101/2020.07.14.199653
Zachariah J. Sperry
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
2Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
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  • ORCID record for Zachariah J. Sperry
Kyounghwan Na
3Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA
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James Jun
4Flatiron Institute, Simons Foundation, New York City, NY, USA
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Lauren R. Madden
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
2Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
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Alec Socha
2Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
3Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA
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Eusik Yoon
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
3Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA
5Center for Nanomedicine, Institute for Basic Science (IBS) and Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Korea
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John P. Seymour
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
3Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA
6Health Science Center, University of Texas, Houston, TX, USA
7Department of Neurosurgery, Rice University, Houston, TX, USA
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Tim M. Bruns
1Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
2Biointerfaces Institute, University of Michigan, Ann Arbor, MI, USA
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  • For correspondence: bruns@umich.edu
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Abstract

Dorsal root ganglia (DRG) are promising sites for recording sensory activity. Current technologies for DRG recording are stiff and typically do not have sufficient site density for high-density neural data techniques. We demonstrate neural recordings in feline sacral DRG using a flexible polyimide microelectrode array with 30-40 μm site spacing. We delivered arrays into DRG with ultrananocrystalline diamond shuttles designed for high stiffness with small footprint. We recorded neural activity during sensory activation, including cutaneous brushing and bladder filling. We successfully delivered arrays in 5/6 experiments and recorded sensory activity in 4. Median signal amplitude was 55 μV and the maximum unique units recorded at one array position was 260, with 157 driven by sensory or electrical stimulation. We used specialized high-density neural signal analysis software to sort neural signals and, in one experiment, track 8 signals as the array was retracted ~500 μm. This study is the first demonstration of ultrathin, flexible, high-density electronics delivered into DRG, with capabilities for recording and tracking sensory information that are a significant improvement over conventional DRG interfaces.

Competing Interest Statement

T.M.B. is a named inventors on a granted patent (US9622671B2; assigned to University of Pittsburgh) which is on the monitoring of physiological states via microelectrodes at DRG. The authors declare no other personal or institutional interest with regards to the authorship and/or publication of this manuscript.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted July 15, 2020.
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High-density Neural Recordings from Feline Sacral Dorsal Root Ganglia with Thin-film Array
Zachariah J. Sperry, Kyounghwan Na, James Jun, Lauren R. Madden, Alec Socha, Eusik Yoon, John P. Seymour, Tim M. Bruns
bioRxiv 2020.07.14.199653; doi: https://doi.org/10.1101/2020.07.14.199653
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High-density Neural Recordings from Feline Sacral Dorsal Root Ganglia with Thin-film Array
Zachariah J. Sperry, Kyounghwan Na, James Jun, Lauren R. Madden, Alec Socha, Eusik Yoon, John P. Seymour, Tim M. Bruns
bioRxiv 2020.07.14.199653; doi: https://doi.org/10.1101/2020.07.14.199653

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