On the Relationship Between Fascicle Diameter and Perineurium Thickness in the Ulnar Nerve of Pigs

Felipe Rettore Andreis, Benjamin Metcalfe, Taha Al Muhammadee Janjua, Valéria Paula Sassoli Fazan, Winnie Jensen, Suzan Meijs, Thomas Gomes Nørgaard dos Santos Nielsen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

The anatomical structures of peripheral nerves significantly influence the performance and selectivity of neural interfaces. Among these structures, the perineurium thickness, because of its high resistivity, is important in shaping the electric field distribution within a nerve. However, data on the perineurium thickness of somatic nerves in animals is sparse. As animal models are the first step towards developing novel implantable nerve interfaces, this study characterises the perineurium thickness in the ulnar nerve of pigs. Distal and proximal sections of the ulnar nerve (n=6) were extracted, stained with haematoxylin and eosin, and the perineurium thickness and fascicular diameters were measured. In total, 129 fascicles were quantified, and the average fascicle diameter was 269±73.3μm and 277 ± 81.1 μm for the distal and proximal nerves, respectively (p=0.59). A linear relationship was observed between fascicle diameter and perineurium thickness (R2=0.69). This relationship was affected by the location of the nerve section, with distal sections having a greater perineurium thickness than proximal segments. Finally, equations were provided to estimate the perineurium thickness based on fascicle diameter. This information can be used to develop realistic peripheral nerve models, which can reduce variability and improve the selectivity of neural interfaces.

Original languageEnglish
Title of host publication11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Proceedings
PublisherIEEE
Publication date24 Apr 2023
Article number10123782
ISBN (Print)978-1-6654-6293-8
ISBN (Electronic)978-1-6654-6292-1
DOIs
Publication statusPublished - 24 Apr 2023
Event11th International IEEE/EMBS Conference on Neural Engineering (2023 NER) - Baltimore, United States
Duration: 24 Apr 202327 Apr 2023
https://cid.wse.jhu.edu/blog/ieee-embs-2023/

Conference

Conference11th International IEEE/EMBS Conference on Neural Engineering (2023 NER)
Country/TerritoryUnited States
CityBaltimore
Period24/04/202327/04/2023
Internet address
SeriesInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN1948-3546

Bibliographical note

Funding Agency:
10.13039/501100001732-Danish National Research Foundation (Grant Number: DNRF121)

Keywords

  • nerve morphology
  • nerve stimulation
  • perineurium thickness
  • ulnar nerve

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