Literature DB >> 30603197

First demonstration of velocity selective recording from the pig vagus using a nerve cuff shows respiration afferents.

B W Metcalfe1, T N Nielsen2, N de N Donaldson3, A J Hunter4, J T Taylor1.   

Abstract

Neural interfaces have great potential to treat disease and disability by modulating the electrical signals within the nervous system. However, whilst neural stimulation is a well-established technique, current neural interfaces are limited by poor recording ability. Low signal amplitudes necessitate the use of highly invasive techniques that divide or penetrate the nerve, and as such are unsuitable for chronic implantation. In this paper, we present the first application of the velocity selective recording technique to the detection of respiration activity in the vagus nerve, which is involved with treatments for epilepsy, depression, and rheumatoid arthritis. Further, we show this using a chronically implantable interface that does not divide the nerve. We also validate our recording setup using electrical stimulation and we present an analysis of the recorded signal amplitudes. The recording interface was formed from a cuff containing ten electrodes implanted around the intact right vagus nerve of a Danish Landrace pig. Nine differential amplifiers were connected to adjacent electrodes, and the resulting signals were processed to discriminate neural activity based on conduction velocity. Despite the average single channel signal-to-noise ratio of - 5.8 dB, it was possible to observe distinct action potentials travelling in both directions along the nerve. Further, contrary to expectation given the low signal-to-noise ratio, we have shown that it was possible to identify afferent neural activity that encoded respiration. The significance of this is the demonstration of a chronically implantable method for neural recording, a result that will transform the capabilities of future neuroprostheses.

Entities:  

Keywords:  CAP; ENG; MEC; Neural interface; VSR

Year:  2017        PMID: 30603197      PMCID: PMC6208561          DOI: 10.1007/s13534-017-0054-z

Source DB:  PubMed          Journal:  Biomed Eng Lett        ISSN: 2093-9868


  5 in total

1.  Spatio-temporal feature extraction in sensory electroneurographic signals.

Authors:  C Silveira; R N Khushaba; E Brunton; K Nazarpour
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-06-06       Impact factor: 4.019

2.  The Design of a Low Noise, Multi-Channel Recording System for Use in Implanted Peripheral Nerve Interfaces.

Authors:  Shamin Sadrafshari; Benjamin Metcalfe; Nick Donaldson; Nicolas Granger; Jon Prager; John Taylor
Journal:  Sensors (Basel)       Date:  2022-04-30       Impact factor: 3.847

3.  Classification of naturally evoked compound action potentials in peripheral nerve spatiotemporal recordings.

Authors:  Ryan G L Koh; Adrian I Nachman; José Zariffa
Journal:  Sci Rep       Date:  2019-07-31       Impact factor: 4.379

4.  Imaging fascicular organization of rat sciatic nerves with fast neural electrical impedance tomography.

Authors:  Enrico Ravagli; Svetlana Mastitskaya; Nicole Thompson; Francesco Iacoviello; Paul R Shearing; Justin Perkins; Alexander V Gourine; Kirill Aristovich; David Holder
Journal:  Nat Commun       Date:  2020-12-07       Impact factor: 14.919

5.  The Use of the Velocity Selective Recording Technique to Reveal the Excitation Properties of the Ulnar Nerve in Pigs.

Authors:  Felipe Rettore Andreis; Benjamin Metcalfe; Taha Al Muhammadee Janjua; Winnie Jensen; Suzan Meijs; Thomas Gomes Nørgaard Dos Santos Nielsen
Journal:  Sensors (Basel)       Date:  2021-12-23       Impact factor: 3.576

  5 in total

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