Multichannel stimulation module as a tool for animal studies on cortical neural prostheses.

animal experiment multichannel microstimulation neural excitation neural prosthesis neuromorphic device optical imaging preclinical study stimulator device

Journal

Frontiers in medical technology
ISSN: 2673-3129
Titre abrégé: Front Med Technol
Pays: Switzerland
ID NLM: 101772626

Informations de publication

Date de publication:
2022
Historique:
received: 24 04 2022
accepted: 08 08 2022
entrez: 30 9 2022
pubmed: 1 10 2022
medline: 1 10 2022
Statut: epublish

Résumé

Intracortical microstimulation to the visual cortex is thought to be a feasible technique for inducing localized phosphenes in patients with acquired blindness, and thereby for visual prosthesis. In order to design effective stimuli for the prosthesis, it is important to elucidate relationships between the spatio-temporal patterns of stimuli and the resulting neural responses and phosphenes through pre-clinical animal studies. However, the physiological basis of effective spatial patterns of the stimuli for the prosthesis has been little investigated in the literature, at least partly because that the previously developed multi-channel stimulation systems were designed specifically for the clinical use. In the present, a 64-channel stimulation module was developed as a scalable tool for animal experiments. The operations of the module were verified by not only dry-bench tests but also physiological animal experiments

Identifiants

pubmed: 36176924
doi: 10.3389/fmedt.2022.927581
pmc: PMC9513350
doi:

Types de publication

Journal Article

Langues

eng

Pagination

927581

Informations de copyright

Copyright © 2022 Hayashida, Kameda, Umehira, Ishikawa and Yagi.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Yuki Hayashida (Y)

Division of Electrical, Electronic and Information Engineering, Graduate School of Engineering, Osaka University, Suita, Japan.
Department of Information Engineering, Graduate School of Engineering, Mie University, Tsu, Japan.

Seiji Kameda (S)

Division of Electrical, Electronic and Information Engineering, Graduate School of Engineering, Osaka University, Suita, Japan.

Yuichi Umehira (Y)

Division of Electrical, Electronic and Information Engineering, Graduate School of Engineering, Osaka University, Suita, Japan.

Shinnosuke Ishikawa (S)

Division of Electrical, Electronic and Information Engineering, Graduate School of Engineering, Osaka University, Suita, Japan.

Tetsuya Yagi (T)

Division of Electrical, Electronic and Information Engineering, Graduate School of Engineering, Osaka University, Suita, Japan.
Department of Electrical and Electronic Engineering, School of Engineering, Fukui University of Technology, Fukui, Japan.

Classifications MeSH