Selective activation of the human tibial and common peroneal nerves with a flat interface nerve electrode
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OBJECTIVE: Electrical stimulation has been shown effective in restoring basic lower extremity motor function in individuals with paralysis. We tested the hypothesis that a flat interface nerve electrode (FINE) placed around the human tibial or common peroneal nerve above the knee can selectively activate each of the most important muscles these nerves innervate for use in a neuroprosthesis to control ankle motion. APPROACH: During intraoperative trials involving three subjects, an eight-contact FINE was placed around the tibial and/or common peroneal nerve, proximal to the popliteal fossa. The FINE's ability to selectively recruit muscles innervated by these nerves was assessed. Data were used to estimate the potential to restore active plantarflexion or dorsiflexion while balancing inversion and eversion using a biomechanical simulation. MAIN RESULTS: With minimal spillover to non-targets, at least three of the four targets in the tibial nerve, including two of the three muscles constituting the triceps surae, were independently and selectively recruited in all subjects. As acceptable levels of spillover increased, recruitment of the target muscles increased. Selective activation of muscles innervated by the peroneal nerve was more challenging. SIGNIFICANCE: Estimated joint moments suggest that plantarflexion sufficient for propulsion during stance phase of gait and dorsiflexion sufficient to prevent foot drop during swing can be achieved, accompanied by a small but tolerable inversion or eversion moment.
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FINE's recording ability and selectivity of the periphery of the stimulated nerve have been demonstrated.
“Its recording ability (Yoo and Durand, 2005) and selectivity of the periphery of the stimulated nerve have been demonstrated (Schiefer et al., 2013; Ortiz-Catalan et al., 2014).”
From Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review. (2017) · cites this paper as Schiefer et al., 2013
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Motor-commands decoding using peripheral nerve signals: a review
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Caravaca, A. S., Tsaava, T., Goldman, L., Silverman, H., Riggott, G., Chavan, S. S., Bouton, C., Tracey, K. J., Desimone, R., Boyden, E. S., et al. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa7a42 · Cited by 57 · see citing works
The design of and chronic tissue response to a composite nerve electrode with patterned stiffness
Freeberg, M. J., Stone, M. A., Triolo, R. J., & Tyler, D. J. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa6632 · Cited by 54 · see citing works
Self-citationUpdate in facial nerve paralysis: tissue engineering and new technologies
Langhals, N. B., Urbanchek, M. G., Ray, A., & Brenner, M. J. (2014) · Current Opinion in Otolaryngology & Head and Neck Surgery · doi:10.1097/moo.0000000000000062 · Cited by 41 · see citing works
Electrically stimulated signals from a long-term Regenerative Peripheral Nerve Interface
Langhals, N. B., Woo, S. L., Moon, J. D., Larson, J. V., Leach, M. K., Cederna, P. S., & Urbanchek, M. G. (2014) · 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/embc.2014.6944004 · Cited by 30 · see citing works
Delianides, C., Tyler, D., Pinault, G., Ansari, R., & Triolo, R. (2020) · Neuromodulation Technology at the Neural Interface · doi:10.1111/ner.13110 · Cited by 20 · see citing works
Self-citationCharkhkar, H., Christie, B. P., Pinault, G. J., Tyler, D. J., & Triolo, R. J. (2019) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2019.108414 · Cited by 19 · see citing works
Self-citationFrederick, R. A., Troyk, P. R., & Cogan, S. F. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac2bb8 · Cited by 7 · see citing works
Wu, Y., & Guo, L. (2020) · Neural Interface Engineering · doi:10.1007/978-3-030-41854-0_5 · Cited by 3 · see citing works
- Authors
- Schiefer, M. A., Freeberg, M., Pinault, G. J. C., Anderson, J., Hoyen, H., Tyler, D. J., & Triolo, R. J.
- Affiliations
- Louis Stokes Cleveland VA Medical Center (US)
- MetroHealth Medical Center (US)
- Venue
- Journal of Neural Engineering
- Publisher
- IOP Publishing
- Published
- 2013-08-05
- Volume
- 10
- Issue
- 5
- Pages
- 056006
- ISSN
- 1741-2552 (ISSN-L)
- 1741-2560
- PMC
- PMC3809099
- OpenAlex
- W2156716005
- Cited by
- 57
- References
- 95
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 2 · 2020: 7 · 2019: 7 · 2018: 7 · 2017: 9 · 2016: 6 · 2015: 4 · 2014: 3 · 2013: 1
- FWCI
- 2.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Journal of Neural Engineering (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (TL1TR002549)
- National Institute of General Medical Sciences (T32GM007250)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (T32AR007505)
- National Institute of Biomedical Imaging and Bioengineering (R01EB001889)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Keywords
- tibial nerve, peroneal nerve, neural prostheses, ankle control, plantar flexion, dorsiflexion, foot drop, spillover effects, triceps surae, paraplegia, gait simulation, joint moments
- MeSH terms
- Electric Stimulation, Electrodes, Implanted, Electromyography, Equipment Design, Gait, Humans, Joints, Knee, Movement, Peroneal Nerve, Recruitment, Neurophysiological, Tibial Nerve, Muscle, Skeletal
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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