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

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Objective. 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-fidelity neural data techniques. Approach. In acute experiments, we demonstrate single-unit neural recordings in sacral DRG of anesthetized felines using a 4.5 µm thick, high-density flexible polyimide microelectrode array with 60 sites and 30-40 µm site spacing. We delivered arrays into DRG with ultrananocrystalline diamond shuttles designed for high stiffness affording a smaller footprint. We recorded neural activity during sensory activation, including cutaneous brushing and bladder filling, as well as during electrical stimulation of the pudendal nerve and anal sphincter. We used specialized neural signal analysis software to sort densely packed neural signals. Main results. We successfully delivered arrays in five of six experiments and recorded single-unit sensory activity in four experiments. The median neural signal amplitude was 55 μV peak-to-peak and the maximum unique units recorded at one array position was 260, with 157 driven by sensory or electrical stimulation. In one experiment, we used the neural analysis software to track eight sorted single units as the array was retracted ∼500 μm. Significance. 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.

Original languageEnglish
Article number046005
JournalJournal of Neural Engineering
Issue number4
Publication statusPublished - 2021 Aug

Bibliographical note

Publisher Copyright:
© 2021 IOP Publishing Ltd.

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Cellular and Molecular Neuroscience


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