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Fascicle localisation within peripheral nerves through evoked activity recordings: A comparison between electrical impedance tomography and multi-electrode arrays.
Ravagli, Enrico; Mastitskaya, Svetlana; Thompson, Nicole; Welle, Elissa J; Chestek, Cynthia A; Aristovich, Kirill; Holder, David.
Afiliación
  • Ravagli E; Medical Physics and Biomedical Engineering, University College London, UK. Electronic address: e.ravagli@ucl.ac.uk.
  • Mastitskaya S; Medical Physics and Biomedical Engineering, University College London, UK.
  • Thompson N; Medical Physics and Biomedical Engineering, University College London, UK.
  • Welle EJ; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Chestek CA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Aristovich K; Medical Physics and Biomedical Engineering, University College London, UK.
  • Holder D; Medical Physics and Biomedical Engineering, University College London, UK.
J Neurosci Methods ; 358: 109140, 2021 07 01.
Article en En | MEDLINE | ID: mdl-33774053
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 ±â€¯30 µm) and CF MEA (414 ±â€¯123 µm), with no statistical difference between MicroCT (625 ±â€¯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 ±â€¯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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nervio Ciático Tipo de estudio: Guideline Límite: Animals Idioma: En Revista: J Neurosci Methods Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nervio Ciático Tipo de estudio: Guideline Límite: Animals Idioma: En Revista: J Neurosci Methods Año: 2021 Tipo del documento: Article