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A Wireless Electro-Optic Platform for Multimodal Electrophysiology and Optogenetics in Freely Moving Rodents

This paper presents the design and the utilization of a wireless electro-optic platform to perform simultaneous multimodal electrophysiological recordings and optogenetic stimulation in freely moving rodents. The developed system can capture neural action potentials (AP), local field potentials (LFP...

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Autores principales: Bilodeau, Guillaume, Gagnon-Turcotte, Gabriel, Gagnon, Léonard L., Keramidis, Iason, Timofeev, Igor, De Koninck, Yves, Ethier, Christian, Gosselin, Benoit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8422428/
https://www.ncbi.nlm.nih.gov/pubmed/34504415
http://dx.doi.org/10.3389/fnins.2021.718478
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author Bilodeau, Guillaume
Gagnon-Turcotte, Gabriel
Gagnon, Léonard L.
Keramidis, Iason
Timofeev, Igor
De Koninck, Yves
Ethier, Christian
Gosselin, Benoit
author_facet Bilodeau, Guillaume
Gagnon-Turcotte, Gabriel
Gagnon, Léonard L.
Keramidis, Iason
Timofeev, Igor
De Koninck, Yves
Ethier, Christian
Gosselin, Benoit
author_sort Bilodeau, Guillaume
collection PubMed
description This paper presents the design and the utilization of a wireless electro-optic platform to perform simultaneous multimodal electrophysiological recordings and optogenetic stimulation in freely moving rodents. The developed system can capture neural action potentials (AP), local field potentials (LFP) and electromyography (EMG) signals with up to 32 channels in parallel while providing four optical stimulation channels. The platform is using commercial off-the-shelf components (COTS) and a low-power digital field-programmable gate array (FPGA), to perform digital signal processing to digitally separate in real time the AP, LFP and EMG while performing signal detection and compression for mitigating wireless bandwidth and power consumption limitations. The different signal modalities collected on the 32 channels are time-multiplexed into a single data stream to decrease power consumption and optimize resource utilization. The data reduction strategy is based on signal processing and real-time data compression. Digital filtering, signal detection, and wavelet data compression are used inside the platform to separate the different electrophysiological signal modalities, namely the local field potentials (1–500 Hz), EMG (30–500 Hz), and the action potentials (300–5,000 Hz) and perform data reduction before transmitting the data. The platform achieves a measured data reduction ratio of 7.77 (for a firing rate of 50 AP/second) and weights 4.7 g with a 100-mAh battery, an on/off switch and a protective plastic enclosure. To validate the performance of the platform, we measured distinct electrophysiology signals and performed optogenetics stimulation in vivo in freely moving rondents. We recorded AP and LFP signals with the platform using a 16-microelectrode array implanted in the primary motor cortex of a Long Evans rat, both in anesthetized and freely moving conditions. EMG responses to optogenetic Channelrhodopsin-2 induced activation of motor cortex via optical fiber were also recorded in freely moving rodents.
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spelling pubmed-84224282021-09-08 A Wireless Electro-Optic Platform for Multimodal Electrophysiology and Optogenetics in Freely Moving Rodents Bilodeau, Guillaume Gagnon-Turcotte, Gabriel Gagnon, Léonard L. Keramidis, Iason Timofeev, Igor De Koninck, Yves Ethier, Christian Gosselin, Benoit Front Neurosci Neuroscience This paper presents the design and the utilization of a wireless electro-optic platform to perform simultaneous multimodal electrophysiological recordings and optogenetic stimulation in freely moving rodents. The developed system can capture neural action potentials (AP), local field potentials (LFP) and electromyography (EMG) signals with up to 32 channels in parallel while providing four optical stimulation channels. The platform is using commercial off-the-shelf components (COTS) and a low-power digital field-programmable gate array (FPGA), to perform digital signal processing to digitally separate in real time the AP, LFP and EMG while performing signal detection and compression for mitigating wireless bandwidth and power consumption limitations. The different signal modalities collected on the 32 channels are time-multiplexed into a single data stream to decrease power consumption and optimize resource utilization. The data reduction strategy is based on signal processing and real-time data compression. Digital filtering, signal detection, and wavelet data compression are used inside the platform to separate the different electrophysiological signal modalities, namely the local field potentials (1–500 Hz), EMG (30–500 Hz), and the action potentials (300–5,000 Hz) and perform data reduction before transmitting the data. The platform achieves a measured data reduction ratio of 7.77 (for a firing rate of 50 AP/second) and weights 4.7 g with a 100-mAh battery, an on/off switch and a protective plastic enclosure. To validate the performance of the platform, we measured distinct electrophysiology signals and performed optogenetics stimulation in vivo in freely moving rondents. We recorded AP and LFP signals with the platform using a 16-microelectrode array implanted in the primary motor cortex of a Long Evans rat, both in anesthetized and freely moving conditions. EMG responses to optogenetic Channelrhodopsin-2 induced activation of motor cortex via optical fiber were also recorded in freely moving rodents. Frontiers Media S.A. 2021-08-16 /pmc/articles/PMC8422428/ /pubmed/34504415 http://dx.doi.org/10.3389/fnins.2021.718478 Text en Copyright © 2021 Bilodeau, Gagnon-Turcotte, Gagnon, Keramidis, Timofeev, De Koninck, Ethier and Gosselin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Bilodeau, Guillaume
Gagnon-Turcotte, Gabriel
Gagnon, Léonard L.
Keramidis, Iason
Timofeev, Igor
De Koninck, Yves
Ethier, Christian
Gosselin, Benoit
A Wireless Electro-Optic Platform for Multimodal Electrophysiology and Optogenetics in Freely Moving Rodents
title A Wireless Electro-Optic Platform for Multimodal Electrophysiology and Optogenetics in Freely Moving Rodents
title_full A Wireless Electro-Optic Platform for Multimodal Electrophysiology and Optogenetics in Freely Moving Rodents
title_fullStr A Wireless Electro-Optic Platform for Multimodal Electrophysiology and Optogenetics in Freely Moving Rodents
title_full_unstemmed A Wireless Electro-Optic Platform for Multimodal Electrophysiology and Optogenetics in Freely Moving Rodents
title_short A Wireless Electro-Optic Platform for Multimodal Electrophysiology and Optogenetics in Freely Moving Rodents
title_sort wireless electro-optic platform for multimodal electrophysiology and optogenetics in freely moving rodents
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8422428/
https://www.ncbi.nlm.nih.gov/pubmed/34504415
http://dx.doi.org/10.3389/fnins.2021.718478
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