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Overcoming temporal dispersion for measurement of activity-related impedance changes in unmyelinated nerves

Tarotin, I; Mastitskaya, S; Ravagli, E; Perkins, JD; Holder, D; Aristovich, K

Authors

I Tarotin

S Mastitskaya

E Ravagli

JD Perkins

D Holder

K Aristovich



Abstract

Objective. Fast neural electrical impedance tomography is an imaging technique that has been successful in visualising electrically evoked activity of myelinated fibres in peripheral nerves by measurement of the impedance changes (dZ) accompanying excitation. However, imaging of unmyelinated fibres is challenging due to temporal dispersion (TP) which occurs due to variability in conduction velocities of the fibres and leads to a decrease of the signal below the noise with distance from the stimulus. To overcome TP and allow electrical impedance tomography imaging in unmyelinated nerves, a new experimental and signal processing paradigm is required allowing dZ measurement further from the site of stimulation than compound neural activity is visible. The development of such a paradigm was the main objective of this study. Approach. A finite element-based statistical model of TP in porcine subdiaphragmatic nerve was developed and experimentally validated ex-vivo. Two paradigms for nerve stimulation and processing of the resulting data-continuous stimulation and trains of stimuli, were implemented; the optimal paradigm for recording dispersed dZ in unmyelinated nerves was determined. Main results. While continuous stimulation and coherent spikes averaging led to higher signal-to-noise ratios (SNRs) at close distances from the stimulus, stimulation by trains was more consistent across distances and allowed dZ measurement at up to 15 cm from the stimulus (SNR = 1.8 +/- 0.8) if averaged for 30 min. Significance. The study develops a method that for the first time allows measurement of dZ in unmyelinated nerves in simulation and experiment, at the distances where compound action potentials are fully dispersed.

Citation

Tarotin, I., Mastitskaya, S., Ravagli, E., Perkins, J., Holder, D., & Aristovich, K. (2022). Overcoming temporal dispersion for measurement of activity-related impedance changes in unmyelinated nerves. Journal of Neural Engineering, 19(2), https://doi.org/10.1088/1741-2552/ac669a

Journal Article Type Article
Acceptance Date Apr 11, 2022
Publication Date 2022
Deposit Date Aug 18, 2022
Publicly Available Date Aug 18, 2022
Print ISSN 1741-2560
Publisher IOP Publishing
Peer Reviewed Peer Reviewed
Volume 19
Issue 2
DOI https://doi.org/10.1088/1741-2552/ac669a
Keywords dispersion in nerve; electrical impedance tomography (EIT); model of the nerve; temporal dispersion; VAGUS-NERVE; EVOKED ACTIVITY; STIMULATION; CONDUCTION; BRAIN

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