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Lookup NU author(s): Emily Johnson, Dr Rolando Berlinguer PalminiORCiD, Hongze Zhong Zhong, Dr Johannes Gausden, Dr Richard Bailey, Professor Anthony O'Neill, Professor Andrew Jackson, Professor Andrew Trevelyan, Professor Patrick Degenaar
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
AuthorsOptogenetic-based neuroprosthetic therapies are increasingly being considered for human trials. However, the optoelectronic design of clinical-grade optogenetic-based neuroprosthetic probes still requires some thought. Design constraints include light penetration into the brain, stimulation efficacy, and probe/tissue heating. Optimisation can be achieved through experimental iteration. However, this is costly, time-consuming and ethically problematic. Hence it is highly desirable to have an alternative to excessive animal trials. Thus, a simulation tool for optimising probe design can be an important benefit for the community. The challenge is to understand the interplay between the optical, neural and thermal aspects in the interaction of probe and living neural tissue. In this work, we propose a model which combines these aspects to allow clinically orientated neuroprosthetic teams to design neuroprosthetic probes for optogenetic therapies. Our model provides analyses for optical, thermal and optogenetic electrophysiological processes based on the energy equivalence and exchange among different physical fields. To validate and calibrate the model, optogenetic implantable neuroprosthetic arrayed probes based on miniature LEDs were developed. Then, optical, thermal measurement and neural photocurrent recording experiments were implemented on the probes. We can then provide analysis on exemplar arrayed neural probes.
Author(s): Dong N, Johnson E, Berlinguer-Palmini R, Zhong H, Dekhoda F, Soltan A, Nikolic K, Grossman N, Gausden J, Bailey R, O'Neill A, Jackson A, Trevelyan A, Degenaar P, Sun X
Publication type: Article
Publication status: Published
Journal: IEEE Access
Year: 2024
Pages: epub ahead of print
Online publication date: 12/08/2024
Acceptance date: 02/04/2024
Date deposited: 28/08/2024
ISSN (electronic): 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
URL: https://doi.org/10.1109/ACCESS.2024.3441571
DOI: 10.1109/ACCESS.2024.3441571
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