CoChat
Sign Up
Cited by 19Neuroscience and Neural EngineeringNerve injury and regenerationMuscle activation and electromyography studies

Chronic sensory-motor activity in behaving animals using regenerative multi-electrode interfaces,

Desai, V. H., Anand, S., Tran, M., Kanneganti, A., Vasudevan, S., Seifert, J. L., Cheng, J., Keefer, E. W. +1 more·2014·2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
DOI 10.1109/embc.2014.6944000
Open this paper in CoChat — free account

Abstract

Regenerative peripheral nerve interfaces have been proposed as viable alternatives for the natural control and feel of robotic prosthetic limbs. We have developed a Regenerative Multi-electrode Interface (REMI) that guides re-growing axons through an electrode array deployed in the lumen of a nerve guide. While acute studies have shown the use of the REMI in the rat sciatic nerve, the quality of chronic signal recording has not been reported. Here we show that implantation of this interface in the sciatic nerve is stable with high quality recordings up to 120 days and failures mainly attributable to abiotic factors related to pedestal detachment and wire breakage. We further tested the interfacing of REMI with fascicles of the sciatic nerve that primarily innervate muscles (tibial) and skin (sural). When implanted into the tibial nerve, bursting activity was observed synchronous to stepping. However, implantation of REMI into the sural nerve failed due to its small size. While fascicles smaller than 300 μm are a challenge for regenerative interfacing, we show that a modified REMI can be used in an insertion mode to record sensory signals from skin. In summary, the REMI represents an effective tool for recording firing patterns of specific axon types during voluntary movement, which may be used to improve the motor control and sensory feedback in closed loop control systems for robotic prosthesis.

Integrity signals

Registry

Crossref · 10.1109/embc.2014.6944000

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The regenerative multi-electrode array was capable of distinguishing 2.9 ± 0.6 individual neurons after 28 days of implantation without significant change during the following 3 months.

    “The regenerative multi-electrode array was capable of distinguishing 2.9 ± 0.6 individual neurons after 28 days of implantation without any significant change during the following 3 months (Desai et al., 2014).”

    From Update on Peripheral Nerve Electrodes for Closed-Loop Neuroprosthetics (2018) · cites this paper as Desai et al., 2014

  • The regenerative multi-electrode array has shown stable recordings up to 4 months after implantation.

    “In like manner the regenerative multi-electrode array has shown to provide stable recordings up to 4 months after implantation (Desai et al., 2014).”

    From Update on Peripheral Nerve Electrodes for Closed-Loop Neuroprosthetics (2018) · cites this paper as Desai et al., 2014

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Desai, V. H., Anand, S., Tran, M., Kanneganti, A., Vasudevan, S., Seifert, J. L., Cheng, J., Keefer, E. W., & Romero-Ortega, M. I.
Affiliations
  • The University of Texas at Arlington (US)
  • The University of Texas Southwestern Medical Center (US)
ORCID
Venue
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher
IEEE
Published
2014-08
Volume
2014
Pages
1973-1976
ISSN
2375-7477 (ISSN-L)
DOI
10.1109/embc.2014.6944000
OpenAlex
W2332822674
Cited by
19
References
14
Citations by year
2024: 1 · 2023: 3 · 2022: 2 · 2021: 3 · 2020: 1 · 2019: 2 · 2018: 1 · 2017: 4 · 2016: 1 · 2015: 1
FWCI
7.16
Type
conference paper
Language
en
Open access
closed
Locations
  • Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Nerve injury and regeneration
  • Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
Keywords
regenerative peripheral nerve interface, chronic neural recording, sciatic nerve, tibial nerve, sural nerve, axon regeneration, nerve conduits, sensory feedback, motor control, implant stability
MeSH terms
Animals, Electrodes, Implanted, Motor Activity, Nerve Regeneration, Sciatic Nerve, Rats, Neural Prostheses

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review