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...
Autores principales: | , , , , , , , |
---|---|
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 |