Evidence map›Paper›PMID 34504415›Full record

ArticleFrontiers in neuroscience2021

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

Guillaume Bilodeau, Gabriel Gagnon-Turcotte, Léonard L Gagnon, Iason Keramidis, Igor Timofeev, Yves De Koninck, Christian Ethier, Benoit Gosselin

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  5. Review
  6. Multifunctional bioelectronics for brain-body circuits.Nature reviews bioengineering · 2025
    Article
  7. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Guillaume BilodeauSmart Biomedical Microsystems Laboratory, Department of Electrical Engineering, Université Laval, Québec, QC, Canada.
Gabriel Gagnon-TurcotteSmart Biomedical Microsystems Laboratory, Department of Electrical Engineering, Université Laval, Québec, QC, Canada.
Léonard L GagnonSmart Biomedical Microsystems Laboratory, Department of Electrical Engineering, Université Laval, Québec, QC, Canada.
Iason KeramidisDepartment of Psychiatry and Neuroscience, CERVO Brain Research Centre, Université Laval, Québec, QC, Canada.
Igor TimofeevDepartment of Psychiatry and Neuroscience, CERVO Brain Research Centre, Université Laval, Québec, QC, Canada.
Yves De KoninckDepartment of Psychiatry and Neuroscience, CERVO Brain Research Centre, Université Laval, Québec, QC, Canada.
Christian EthierDepartment of Psychiatry and Neuroscience, CERVO Brain Research Centre, Université Laval, Québec, QC, Canada.
Benoit GosselinSmart Biomedical Microsystems Laboratory, Department of Electrical Engineering, Université Laval, Québec, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

digital signal processingelectrophysiologyfreely movingimplantable deviceoptogeneticsphotostimulationwireless

Identifiers

PMID34504415
PMCPMC8422428

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.