Literature DB >> 25983203

A new method for spike extraction using velocity selective recording demonstrated with physiological ENG in Rat.

B W Metcalfe1, D J Chew2, C T Clarke3, N de N Donaldson4, J T Taylor3.   

Abstract

BACKGROUND: This paper describes a series of experiments designed to verify a new method of electroneurogram (ENG) recording that enables the rate of neural firing within prescribed bands of propagation velocity to be determined in real time. Velocity selective recording (VSR) has been proposed as a solution to the problem of increasing the information available from an implantable neural interface (typically with electrodes in circumferential nerve cuffs) and has been successful in transforming compound action potentials into the velocity domain. NEW
METHOD: The new method extends VSR to naturally-evoked (physiological) ENG in which the rate of neural firing at particular velocities is required in addition to a knowledge of the velocities present in the recording.
RESULTS: The experiments, carried out in rats required individual spikes to be distinct and non-overlapping, which could be achieved by a microchannel or small-bore cuff. In these experiments, strands of rat nerve were laid on ten hook electrodes in oil to demonstrate the principle. COMPARISON WITH EXISTING
METHOD: The new method generates a detailed overview of the firing rates of neurons based on their conduction velocity and direction of propagation. In addition it allows real time working in contrast to existing spike sorting methods using statistical pattern processing techniques.
CONCLUSIONS: Results show that by isolating neural activity based purely on conduction velocity it was possible to determine the onset of direct cutaneous stimulation of the L5 dermatome.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ENG; Spike sorting; VSR; Velocity selective recording; Velocity spectral density

Mesh:

Year:  2015        PMID: 25983203     DOI: 10.1016/j.jneumeth.2015.05.003

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  5 in total

1.  An implantable ENG detector with in-system velocity selective recording (VSR) capability.

Authors:  Chris Clarke; Robert Rieger; Martin Schuettler; Nick Donaldson; John Taylor
Journal:  Med Biol Eng Comput       Date:  2016-09-16       Impact factor: 2.602

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.  Reduced genioglossus muscle activity caused by fluid overload in anesthetized rats.

Authors:  Parisa Sabetian; Azadeh Yadollahi; Paul B Yoo
Journal:  Physiol Rep       Date:  2020-07

4.  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

5.  A microfabricated nerve-on-a-chip platform for rapid assessment of neural conduction in explanted peripheral nerve fibers.

Authors:  Sandra Gribi; Sophie du Bois de Dunilac; Diego Ghezzi; Stéphanie P Lacour
Journal:  Nat Commun       Date:  2018-10-23       Impact factor: 14.919

  5 in total

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