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...

Full description

Bibliographic Details
Main Authors: Alexander Erofeev, Ivan Antifeev, Egor Vinokurov, Ilya Bezprozvanny, Olga Vlasova
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/24/9735
_version_ 1797379422185062400
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
work_keys_str_mv AT alexandererofeev anopensourcewirelesselectrophysiologysystemforinvivoneuronalactivityrecordingintherodentbrain20
AT ivanantifeev anopensourcewirelesselectrophysiologysystemforinvivoneuronalactivityrecordingintherodentbrain20
AT egorvinokurov anopensourcewirelesselectrophysiologysystemforinvivoneuronalactivityrecordingintherodentbrain20
AT ilyabezprozvanny anopensourcewirelesselectrophysiologysystemforinvivoneuronalactivityrecordingintherodentbrain20
AT olgavlasova anopensourcewirelesselectrophysiologysystemforinvivoneuronalactivityrecordingintherodentbrain20
AT alexandererofeev opensourcewirelesselectrophysiologysystemforinvivoneuronalactivityrecordingintherodentbrain20
AT ivanantifeev opensourcewirelesselectrophysiologysystemforinvivoneuronalactivityrecordingintherodentbrain20
AT egorvinokurov opensourcewirelesselectrophysiologysystemforinvivoneuronalactivityrecordingintherodentbrain20
AT ilyabezprozvanny opensourcewirelesselectrophysiologysystemforinvivoneuronalactivityrecordingintherodentbrain20
AT olgavlasova opensourcewirelesselectrophysiologysystemforinvivoneuronalactivityrecordingintherodentbrain20