Literature DB >> 33774053

Fascicle localisation within peripheral nerves through evoked activity recordings: A comparison between electrical impedance tomography and multi-electrode arrays.

Enrico Ravagli1, Svetlana Mastitskaya2, Nicole Thompson2, Elissa J Welle3, Cynthia A Chestek3, Kirill Aristovich2, David Holder2.   

Abstract

BACKGROUND: The lack of understanding of fascicular organisation in peripheral nerves limits the potential of vagus nerve stimulation therapy. Two promising methods may be employed to identify the functional anatomy of fascicles within the nerve: fast neural electrical impedance tomography (EIT), and penetrating multi-electrode arrays (MEA). These could provide a means to image the compound action potential within fascicles in the nerve. NEW
METHOD: We compared the ability to localise fascicle activity between silicon shanks (SS) and carbon fibre (CF) multi-electrode arrays and fast neural EIT, with micro-computed tomography (MicroCT) as an independent reference. Fast neural EIT in peripheral nerves was only recently developed and MEA technology has been used only sparingly in nerves and not for source localisation. Assessment was performed in rat sciatic nerves while evoking neural activity in the tibial and peroneal fascicles.
RESULTS: Recorded compound action potentials were larger with CF compared to SS (∼700 μV vs ∼300 μV); however, background noise was greater (6.3 μV vs 1.7 μV) leading to lower SNR. Maximum spatial discrimination between Centres-of-Mass of fascicular activity was achieved by fast neural EIT (402 ± 30 μm) and CF MEA (414 ± 123 μm), with no statistical difference between MicroCT (625 ± 17 μm) and CF (p > 0.05) and between CF and EIT (p > 0.05). Compared to CF MEAs, SS MEAs had a lower discrimination power (103 ± 51 μm, p < 0.05). COMPARISON WITH EXISTING
METHODS: EIT and CF MEAs showed localisation power closest to MicroCT. Silicon MEAs adopted in this study failed to discriminate fascicle location. Re-design of probe geometry may improve results.
CONCLUSIONS: Nerve EIT is an accurate tool for assessment of fascicular position within nerves. Accuracy of EIT and CF MEA is similar to the reference method. We give technical recommendations for performing multi-electrode recordings in nerves.
Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Electrical impedance tomography; Fascicular anatomy; Image reconstruction; Multi-electrode arrays; Peripheral nerves

Year:  2021        PMID: 33774053     DOI: 10.1016/j.jneumeth.2021.109140

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


  3 in total

1.  Computational modelling of nerve stimulation and recording with peripheral visceral neural interfaces.

Authors:  Calvin D Eiber; Sophie C Payne; Natalia P Biscola; Leif A Havton; Janet R Keast; Peregrine B Osborne; James B Fallon
Journal:  J Neural Eng       Date:  2021-11-25       Impact factor: 5.379

Review 2.  Closed-Loop Vagus Nerve Stimulation for the Treatment of Cardiovascular Diseases: State of the Art and Future Directions.

Authors:  Matteo Maria Ottaviani; Fabio Vallone; Silvestro Micera; Fabio A Recchia
Journal:  Front Cardiovasc Med       Date:  2022-04-07

3.  Mapping the functional anatomy and topography of the cardiac autonomic innervation for selective cardiac neuromodulation using MicroCT.

Authors:  Bettina Kronsteiner; Lydia M Zopf; Patrick Heimel; Gunpreet Oberoi; Anne M Kramer; Paul Slezak; Wolfgang J Weninger; Bruno K Podesser; Attila Kiss; Francesco Moscato
Journal:  Front Cell Dev Biol       Date:  2022-09-12
  3 in total

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