An Open-Source Wireless Electrophysiology System for In Vivo Neuronal Activity Recording in the Rodent Brain: 2.0
Current trends in neurobiological research focus on analyzing complex interactions within brain structures. To conduct relevant experiments, it is often essential to employ animals with unhampered mobility and utilize electrophysiological equipment capable of wirelessly transmitting data. In prior r...
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MDPI AG
2023-12-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/23/24/9735 |
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author | Alexander Erofeev Ivan Antifeev Egor Vinokurov Ilya Bezprozvanny Olga Vlasova |
author_facet | Alexander Erofeev Ivan Antifeev Egor Vinokurov Ilya Bezprozvanny Olga Vlasova |
author_sort | Alexander Erofeev |
collection | DOAJ |
description | Current trends in neurobiological research focus on analyzing complex interactions within brain structures. To conduct relevant experiments, it is often essential to employ animals with unhampered mobility and utilize electrophysiological equipment capable of wirelessly transmitting data. In prior research, we introduced an open-source wireless electrophysiology system to surmount these challenges. Nonetheless, this prototype exhibited several limitations, such as a hefty weight for the wireless module, redundant system components, a diminished sampling rate, and limited battery longevity. In this study, we unveil an enhanced version of the open-source wireless electrophysiology system, tailored for in vivo monitoring of neural activity in rodent brains. This new system has been successfully tested in real-time recordings of in vivo neural activity. Consequently, our development offers researchers a cost-effective and proficient tool for studying complex brain functions. |
first_indexed | 2024-03-08T20:23:00Z |
format | Article |
id | doaj.art-5e744420c3674528937af97cc43d848b |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-08T20:23:00Z |
publishDate | 2023-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-5e744420c3674528937af97cc43d848b2023-12-22T14:40:26ZengMDPI AGSensors1424-82202023-12-012324973510.3390/s23249735An Open-Source Wireless Electrophysiology System for In Vivo Neuronal Activity Recording in the Rodent Brain: 2.0Alexander Erofeev0Ivan Antifeev1Egor Vinokurov2Ilya Bezprozvanny3Olga Vlasova4Laboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, RussiaLaboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, RussiaLaboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, RussiaLaboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, RussiaLaboratory of Molecular Neurodegeneration, Graduate School of Biomedical Systems and Technologies, Institute of Biomedical Systems and Biotechnology, Peter the Great St. Petersburg Polytechnic University, 195251 Saint Petersburg, RussiaCurrent trends in neurobiological research focus on analyzing complex interactions within brain structures. To conduct relevant experiments, it is often essential to employ animals with unhampered mobility and utilize electrophysiological equipment capable of wirelessly transmitting data. In prior research, we introduced an open-source wireless electrophysiology system to surmount these challenges. Nonetheless, this prototype exhibited several limitations, such as a hefty weight for the wireless module, redundant system components, a diminished sampling rate, and limited battery longevity. In this study, we unveil an enhanced version of the open-source wireless electrophysiology system, tailored for in vivo monitoring of neural activity in rodent brains. This new system has been successfully tested in real-time recordings of in vivo neural activity. Consequently, our development offers researchers a cost-effective and proficient tool for studying complex brain functions.https://www.mdpi.com/1424-8220/23/24/9735neural activityin vivo recordingopen-source neurophysiology toolsmonitoring brain activitywireless electrophysiological systemmicroelectrode |
spellingShingle | Alexander Erofeev Ivan Antifeev Egor Vinokurov Ilya Bezprozvanny Olga Vlasova An Open-Source Wireless Electrophysiology System for In Vivo Neuronal Activity Recording in the Rodent Brain: 2.0 Sensors neural activity in vivo recording open-source neurophysiology tools monitoring brain activity wireless electrophysiological system microelectrode |
title | An Open-Source Wireless Electrophysiology System for In Vivo Neuronal Activity Recording in the Rodent Brain: 2.0 |
title_full | An Open-Source Wireless Electrophysiology System for In Vivo Neuronal Activity Recording in the Rodent Brain: 2.0 |
title_fullStr | An Open-Source Wireless Electrophysiology System for In Vivo Neuronal Activity Recording in the Rodent Brain: 2.0 |
title_full_unstemmed | An Open-Source Wireless Electrophysiology System for In Vivo Neuronal Activity Recording in the Rodent Brain: 2.0 |
title_short | An Open-Source Wireless Electrophysiology System for In Vivo Neuronal Activity Recording in the Rodent Brain: 2.0 |
title_sort | open source wireless electrophysiology system for in vivo neuronal activity recording in the rodent brain 2 0 |
topic | neural activity in vivo recording open-source neurophysiology tools monitoring brain activity wireless electrophysiological system microelectrode |
url | https://www.mdpi.com/1424-8220/23/24/9735 |
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