Your browser doesn't support javascript.
loading
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.
Afiliação
  • Bilodeau G; Smart Biomedical Microsystems Laboratory, Department of Electrical Engineering, Université Laval, Québec, QC, Canada.
  • Gagnon-Turcotte G; Smart Biomedical Microsystems Laboratory, Department of Electrical Engineering, Université Laval, Québec, QC, Canada.
  • Gagnon LL; Smart Biomedical Microsystems Laboratory, Department of Electrical Engineering, Université Laval, Québec, QC, Canada.
  • Keramidis I; Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Université Laval, Québec, QC, Canada.
  • Timofeev I; Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Université Laval, Québec, QC, Canada.
  • De Koninck Y; Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Université Laval, Québec, QC, Canada.
  • Ethier C; Department of Psychiatry and Neuroscience, CERVO Brain Research Centre, Université Laval, Québec, QC, Canada.
  • Gosselin B; Smart Biomedical Microsystems Laboratory, Department of Electrical Engineering, Université Laval, Québec, QC, Canada.
Front Neurosci ; 15: 718478, 2021.
Article em En | MEDLINE | ID: mdl-34504415
ABSTRACT
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.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Neurosci Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Neurosci Ano de publicação: 2021 Tipo de documento: Article