Cargando…

Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics

In this paper, we present a modular Data Acquisition (DAQ) system for simultaneous electrical stimulation and recording of brain activity. The DAQ system is designed to work with custom-designed Application Specific Integrated Circuit (ASIC) called Neurostim-3 and a variety of commercially available...

Descripción completa

Detalles Bibliográficos
Autores principales: Jurgielewicz, Paweł, Fiutowski, Tomasz, Kublik, Ewa, Skoczeń, Andrzej, Szypulska, Małgorzata, Wiącek, Piotr, Hottowy, Paweł, Mindur, Bartosz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271791/
https://www.ncbi.nlm.nih.gov/pubmed/34203305
http://dx.doi.org/10.3390/s21134423
_version_ 1783721074943328256
author Jurgielewicz, Paweł
Fiutowski, Tomasz
Kublik, Ewa
Skoczeń, Andrzej
Szypulska, Małgorzata
Wiącek, Piotr
Hottowy, Paweł
Mindur, Bartosz
author_facet Jurgielewicz, Paweł
Fiutowski, Tomasz
Kublik, Ewa
Skoczeń, Andrzej
Szypulska, Małgorzata
Wiącek, Piotr
Hottowy, Paweł
Mindur, Bartosz
author_sort Jurgielewicz, Paweł
collection PubMed
description In this paper, we present a modular Data Acquisition (DAQ) system for simultaneous electrical stimulation and recording of brain activity. The DAQ system is designed to work with custom-designed Application Specific Integrated Circuit (ASIC) called Neurostim-3 and a variety of commercially available Multi-Electrode Arrays (MEAs). The system can control simultaneously up to 512 independent bidirectional i.e., input-output channels. We present in-depth insight into both hardware and software architectures and discuss relationships between cooperating parts of that system. The particular focus of this study was the exploration of efficient software design so that it could perform all its tasks in real-time using a standard Personal Computer (PC) without the need for data precomputation even for the most demanding experiment scenarios. Not only do we show bare performance metrics, but we also used this software to characterise signal processing capabilities of Neurostim-3 (e.g., gain linearity, transmission band) so that to obtain information on how well it can handle neural signals in real-world applications. The results indicate that each Neurostim-3 channel exhibits signal gain linearity in a wide range of input signal amplitudes. Moreover, their high-pass cut-off frequency gets close to [Formula: see text] [Formula: see text] making it suitable for recording both Local Field Potential (LFP) and spiking brain activity signals. Additionally, the current stimulation circuitry was checked in terms of the ability to reproduce complex patterns. Finally, we present data acquired using our system from the experiments on a living rat’s brain, which proved we obtained physiological data from non-stimulated and stimulated tissue. The presented results lead us to conclude that our hardware and software can work efficiently and effectively in tandem giving valuable insights into how information is being processed by the brain.
format Online
Article
Text
id pubmed-8271791
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-82717912021-07-11 Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics Jurgielewicz, Paweł Fiutowski, Tomasz Kublik, Ewa Skoczeń, Andrzej Szypulska, Małgorzata Wiącek, Piotr Hottowy, Paweł Mindur, Bartosz Sensors (Basel) Article In this paper, we present a modular Data Acquisition (DAQ) system for simultaneous electrical stimulation and recording of brain activity. The DAQ system is designed to work with custom-designed Application Specific Integrated Circuit (ASIC) called Neurostim-3 and a variety of commercially available Multi-Electrode Arrays (MEAs). The system can control simultaneously up to 512 independent bidirectional i.e., input-output channels. We present in-depth insight into both hardware and software architectures and discuss relationships between cooperating parts of that system. The particular focus of this study was the exploration of efficient software design so that it could perform all its tasks in real-time using a standard Personal Computer (PC) without the need for data precomputation even for the most demanding experiment scenarios. Not only do we show bare performance metrics, but we also used this software to characterise signal processing capabilities of Neurostim-3 (e.g., gain linearity, transmission band) so that to obtain information on how well it can handle neural signals in real-world applications. The results indicate that each Neurostim-3 channel exhibits signal gain linearity in a wide range of input signal amplitudes. Moreover, their high-pass cut-off frequency gets close to [Formula: see text] [Formula: see text] making it suitable for recording both Local Field Potential (LFP) and spiking brain activity signals. Additionally, the current stimulation circuitry was checked in terms of the ability to reproduce complex patterns. Finally, we present data acquired using our system from the experiments on a living rat’s brain, which proved we obtained physiological data from non-stimulated and stimulated tissue. The presented results lead us to conclude that our hardware and software can work efficiently and effectively in tandem giving valuable insights into how information is being processed by the brain. MDPI 2021-06-28 /pmc/articles/PMC8271791/ /pubmed/34203305 http://dx.doi.org/10.3390/s21134423 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jurgielewicz, Paweł
Fiutowski, Tomasz
Kublik, Ewa
Skoczeń, Andrzej
Szypulska, Małgorzata
Wiącek, Piotr
Hottowy, Paweł
Mindur, Bartosz
Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics
title Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics
title_full Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics
title_fullStr Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics
title_full_unstemmed Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics
title_short Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics
title_sort modular data acquisition system for recording activity and electrical stimulation of brain tissue using dedicated electronics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271791/
https://www.ncbi.nlm.nih.gov/pubmed/34203305
http://dx.doi.org/10.3390/s21134423
work_keys_str_mv AT jurgielewiczpaweł modulardataacquisitionsystemforrecordingactivityandelectricalstimulationofbraintissueusingdedicatedelectronics
AT fiutowskitomasz modulardataacquisitionsystemforrecordingactivityandelectricalstimulationofbraintissueusingdedicatedelectronics
AT kublikewa modulardataacquisitionsystemforrecordingactivityandelectricalstimulationofbraintissueusingdedicatedelectronics
AT skoczenandrzej modulardataacquisitionsystemforrecordingactivityandelectricalstimulationofbraintissueusingdedicatedelectronics
AT szypulskamałgorzata modulardataacquisitionsystemforrecordingactivityandelectricalstimulationofbraintissueusingdedicatedelectronics
AT wiacekpiotr modulardataacquisitionsystemforrecordingactivityandelectricalstimulationofbraintissueusingdedicatedelectronics
AT hottowypaweł modulardataacquisitionsystemforrecordingactivityandelectricalstimulationofbraintissueusingdedicatedelectronics
AT mindurbartosz modulardataacquisitionsystemforrecordingactivityandelectricalstimulationofbraintissueusingdedicatedelectronics