Visual evoked potentials determine chronic signal quality in a stent-electrode endovascular neural interface

G Gerboni; SE John; GS Rind; SM Ronayne; CN May; TJ Oxley; DB Grayden; NL Opie; YT Wong

Journal article

Visual evoked potentials determine chronic signal quality in a stent-electrode endovascular neural interface

G Gerboni, SE John, GS Rind, SM Ronayne, CN May, TJ Oxley, DB Grayden, NL Opie, YT Wong

Biomedical Physics and Engineering Express | IOP PUBLISHING LTD | Published : 2018

DOI: 10.1088/2057-1976/aad714

Abstract

Brain-machine interfaces directly communicate between the brain and external devices. An effective trade-off between signal quality and safety required for successful clinical translation has yet to be achieved, and represents a great challenge for engineers, neuroscientists, and clinicians. The StentrodeTM, an endovascular neural interface that allows neural signals to be recorded from within a cortical vessel, has demonstrated feasibility with safety for up to six months in a large animal model. Easily-obtained electrophysiological signals to evaluate the effect of implant duration on recording performance are essential for ongoing evaluation of the device. In this work, we demonstrate tha..

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University of Melbourne Researchers

Sam John Author

Gil Rind Author

Stephen Ronayne Author

Clive May Author

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Awarded by Defence Health Foundation

Funding Acknowledgements

This research was funded by NHMRC grants APP1062532 and APP1075117 and by the Defence Health Foundation. NLO is supported by a Westpac Bicentennial Research Fellowship.