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Safe Retrieval of a Stent-Based Endovascular Neural Recording Array

  • Venkata S.Aditya Tarigoppula
  • , Gil S. Rind
  • , Stephen M. Ronayne
  • , Andrew Stent
  • , Calvin D. Eiber
  • , Thomas J. Oxley
  • , Nicholas L. Opie

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The ability to retrieve a device implanted in humans has implications for the device's safety, efficacy, adoptability, and clinical and applicational flexibility. The Stentrode, a stent-based endovascular neural recording array, is a relatively new modality to capture brain data which accesses the brain in a minimally invasive manner through the body's natural highways (i.e., blood vessels). As we further characterize the safety profile for endovascular neural recording and expand on the existing applications of our endovascular neural recording array, we sought to assess the possibility of retrieving the device following a short implantation period in a Dural sinus. To demonstrate functional neural recording, steady-state visual evoked potentials were captured at 4 and 6 days post-implantation. To demonstrate safety, we analyzed histological sections of the implanted dural sinus and contralateral non-implanted sinus as a within-subject control. We show, in an ovine model, that retrieval of a stent-based endovascular neural recording array from the transverse sinus, following 7 days of implantation and neural data recording, can be performed successfully and safely with minimal effect on animals' general health and the Dural sinuses.

Original languageEnglish
Title of host publication11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9781665462921
DOIs
StatePublished - 2023
Externally publishedYes
Event11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Baltimore, United States
Duration: 25 Apr 202327 Apr 2023

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
Volume2023-April
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Conference

Conference11th International IEEE/EMBS Conference on Neural Engineering, NER 2023
Country/TerritoryUnited States
CityBaltimore
Period25/04/2327/04/23

Keywords

  • Brain Computer Interface
  • Endovascular neural recording array
  • Retrieval
  • Stentrode

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