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Electrical Source Imaging in Freely Moving Rats: Evaluation of a 12-Electrode Cortical Electroencephalography System

This work presents and evaluates a 12-electrode intracranial electroencephalography system developed at the National Institute of Mental Health (Klecany, Czech Republic) in terms of an electrical source imaging (ESI) technique in rats. The electrode system was originally designed for translational r...

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Autores principales: Jiricek, Stanislav, Koudelka, Vlastimil, Lacik, Jaroslav, Vejmola, Cestmir, Kuratko, David, Wójcik, Daniel K., Raida, Zbynek, Hlinka, Jaroslav, Palenicek, Tomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868391/
https://www.ncbi.nlm.nih.gov/pubmed/33568980
http://dx.doi.org/10.3389/fninf.2020.589228
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author Jiricek, Stanislav
Koudelka, Vlastimil
Lacik, Jaroslav
Vejmola, Cestmir
Kuratko, David
Wójcik, Daniel K.
Raida, Zbynek
Hlinka, Jaroslav
Palenicek, Tomas
author_facet Jiricek, Stanislav
Koudelka, Vlastimil
Lacik, Jaroslav
Vejmola, Cestmir
Kuratko, David
Wójcik, Daniel K.
Raida, Zbynek
Hlinka, Jaroslav
Palenicek, Tomas
author_sort Jiricek, Stanislav
collection PubMed
description This work presents and evaluates a 12-electrode intracranial electroencephalography system developed at the National Institute of Mental Health (Klecany, Czech Republic) in terms of an electrical source imaging (ESI) technique in rats. The electrode system was originally designed for translational research purposes. This study demonstrates that it is also possible to use this well-established system for ESI, and estimates its precision, accuracy, and limitations. Furthermore, this paper sets a methodological basis for future implants. Source localization quality is evaluated using three approaches based on surrogate data, physical phantom measurements, and in vivo experiments. The forward model for source localization is obtained from the FieldTrip-SimBio pipeline using the finite-element method. Rat brain tissue extracted from a magnetic resonance imaging template is approximated by a single-compartment homogeneous tetrahedral head model. Four inverse solvers were tested: standardized low-resolution brain electromagnetic tomography, exact low-resolution brain electromagnetic tomography (eLORETA), linear constrained minimum variance (LCMV), and dynamic imaging of coherent sources. Based on surrogate data, this paper evaluates the accuracy and precision of all solvers within the brain volume using error distance and reliability maps. The mean error distance over the whole brain was found to be the lowest in the eLORETA solution through signal to noise ratios (SNRs) (0.2 mm for 25 dB SNR). The LCMV outperformed eLORETA under higher SNR conditions, and exhibiting higher spatial precision. Both of these inverse solvers provided accurate results in a phantom experiment (1.6 mm mean error distance across shallow and 2.6 mm across subcortical testing dipoles). Utilizing the developed technique in freely moving rats, an auditory steady-state response experiment provided results in line with previously reported findings. The obtained results support the idea of utilizing a 12-electrode system for ESI and using it as a solid basis for the development of future ESI dedicated implants.
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spelling pubmed-78683912021-02-09 Electrical Source Imaging in Freely Moving Rats: Evaluation of a 12-Electrode Cortical Electroencephalography System Jiricek, Stanislav Koudelka, Vlastimil Lacik, Jaroslav Vejmola, Cestmir Kuratko, David Wójcik, Daniel K. Raida, Zbynek Hlinka, Jaroslav Palenicek, Tomas Front Neuroinform Neuroscience This work presents and evaluates a 12-electrode intracranial electroencephalography system developed at the National Institute of Mental Health (Klecany, Czech Republic) in terms of an electrical source imaging (ESI) technique in rats. The electrode system was originally designed for translational research purposes. This study demonstrates that it is also possible to use this well-established system for ESI, and estimates its precision, accuracy, and limitations. Furthermore, this paper sets a methodological basis for future implants. Source localization quality is evaluated using three approaches based on surrogate data, physical phantom measurements, and in vivo experiments. The forward model for source localization is obtained from the FieldTrip-SimBio pipeline using the finite-element method. Rat brain tissue extracted from a magnetic resonance imaging template is approximated by a single-compartment homogeneous tetrahedral head model. Four inverse solvers were tested: standardized low-resolution brain electromagnetic tomography, exact low-resolution brain electromagnetic tomography (eLORETA), linear constrained minimum variance (LCMV), and dynamic imaging of coherent sources. Based on surrogate data, this paper evaluates the accuracy and precision of all solvers within the brain volume using error distance and reliability maps. The mean error distance over the whole brain was found to be the lowest in the eLORETA solution through signal to noise ratios (SNRs) (0.2 mm for 25 dB SNR). The LCMV outperformed eLORETA under higher SNR conditions, and exhibiting higher spatial precision. Both of these inverse solvers provided accurate results in a phantom experiment (1.6 mm mean error distance across shallow and 2.6 mm across subcortical testing dipoles). Utilizing the developed technique in freely moving rats, an auditory steady-state response experiment provided results in line with previously reported findings. The obtained results support the idea of utilizing a 12-electrode system for ESI and using it as a solid basis for the development of future ESI dedicated implants. Frontiers Media S.A. 2021-01-25 /pmc/articles/PMC7868391/ /pubmed/33568980 http://dx.doi.org/10.3389/fninf.2020.589228 Text en Copyright © 2021 Jiricek, Koudelka, Lacik, Vejmola, Kuratko, Wójcik, Raida, Hlinka and Palenicek. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Jiricek, Stanislav
Koudelka, Vlastimil
Lacik, Jaroslav
Vejmola, Cestmir
Kuratko, David
Wójcik, Daniel K.
Raida, Zbynek
Hlinka, Jaroslav
Palenicek, Tomas
Electrical Source Imaging in Freely Moving Rats: Evaluation of a 12-Electrode Cortical Electroencephalography System
title Electrical Source Imaging in Freely Moving Rats: Evaluation of a 12-Electrode Cortical Electroencephalography System
title_full Electrical Source Imaging in Freely Moving Rats: Evaluation of a 12-Electrode Cortical Electroencephalography System
title_fullStr Electrical Source Imaging in Freely Moving Rats: Evaluation of a 12-Electrode Cortical Electroencephalography System
title_full_unstemmed Electrical Source Imaging in Freely Moving Rats: Evaluation of a 12-Electrode Cortical Electroencephalography System
title_short Electrical Source Imaging in Freely Moving Rats: Evaluation of a 12-Electrode Cortical Electroencephalography System
title_sort electrical source imaging in freely moving rats: evaluation of a 12-electrode cortical electroencephalography system
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868391/
https://www.ncbi.nlm.nih.gov/pubmed/33568980
http://dx.doi.org/10.3389/fninf.2020.589228
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