Evidence map›Paper›PMID 33774053›Full record

ArticleJournal of neuroscience methods2021

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

Enrico Ravagli, Svetlana Mastitskaya, Nicole Thompson, Elissa J Welle, Cynthia A Chestek, Kirill Aristovich, David Holder

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuroscience methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Enrico RavagliMedical Physics and Biomedical Engineering, University College London, UK. Electronic address: e.ravagli@ucl.ac.uk.
Svetlana MastitskayaMedical Physics and Biomedical Engineering, University College London, UK.
Nicole ThompsonMedical Physics and Biomedical Engineering, University College London, UK.
Elissa J WelleDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Cynthia A ChestekDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Kirill AristovichMedical Physics and Biomedical Engineering, University College London, UK.
David HolderMedical Physics and Biomedical Engineering, University College London, UK.
University College London · GBUniversity of Michigan–Ann Arbor · US

Funding

Enhanced quantitative imaging of compound action potentials in multi-fascicular peripheral nerve with fast neural Electrical Impedance Tomography enabled by 3D multi-plane softening bioelectronicsOT2OD026545 · OD · UNIVERSITY COLLEGE LONDON · PI HOLDER, DAVID S · 2018 to 2021
$1.6M
Medical Research Council MR/R01213X/1NIH HHS OT2 OD026545
6 · The paper itself

Abstract

backgroundThe 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

methodWe 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.

resultsRecorded 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

methodsEIT 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.

conclusionsNerve 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.

Indexed as

Sciatic NerveAction PotentialsAnimalsElectric ImpedanceElectrodesRatsX-Ray MicrotomographyElectrical impedance tomographyFascicular anatomyImage reconstructionMulti-electrode arraysPeripheral nerves

Identifiers

PMID33774053
PMCPMC8249910
OpenAlexW3136078208

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.