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Title: Minimally invasive endovascular stent-electrode array for high-fidelity, chronic recordings of cortical neural activity
Authors: Oxley, Thomas
Opie, Nicholas
John, Sam
Rindl, Gil
Ronayne, Stephen
Wheeler, Tracey
Judy, Jack
McDonald, Alan
Dornom, Anthony
Lovell, Timothy
Steward, Christopher
Garrett, David
Moffat, Bradford
Lui, Elaine
Yassi, Nawaf
Campbell, Bruce
Wong, Yan
Fox, Kate
Nurse, Ewan
Bennett, Iwan
Bauquier, Sebastien
Lyanage, Kishan
van de Nagel, Nicole
Perucca, Piero
Ahnood, Arman
Gill, Katherine
Yan, Bernard
Churilov, Leonid
French, Christopher
Desmond, Patricia
Horne, Malcolm
Kiers, Lynette
Prawer, Steven
Davis, Stephen
Burkitt, Anthony
Mitchell, Peter
Grayden, David
May, Clive
O'Brien, Terence
Keywords: Biomedical Engineering
membrane potential
Issue Date: 8-Feb-2016
Publisher: Nature Publishing Group
Citation: Oxley, T. J., N. L. Opie, et al. (2016). "Minimally invasive endovascular stent-electrode array for high-fidelity, chronic recordings of cortical neural activity." Nat Biotech advance online publication.
Abstract: High-fidelity intracranial electrode arrays for recording and stimulating brain activity have facilitated major advances in the treatment of neurological conditions over the past decade. Traditional arrays require direct implantation into the brain via open craniotomy, which can lead to inflammatory tissue responses, necessitating development of minimally invasive approaches that avoid brain trauma. Here we demonstrate the feasibility of chronically recording brain activity from within a vein using a passive stent-electrode recording array (stentrode). We achieved implantation into a superficial cortical vein overlying the motor cortex via catheter angiography and demonstrate neural recordings in freely moving sheep for up to 190 d. Spectral content and bandwidth of vascular electrocorticography were comparable to those of recordings from epidural surface arrays. Venous internal lumen patency was maintained for the duration of implantation. Stentrodes may have wide ranging applications as a neural interface for treatment of a range of neurological conditions.
URI: http://repository.bionicsinstitute.org:8080/handle/123456789/179
ISSN: 0028-0836
Appears in Collections:Neurobionics Research Publications

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