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Artifact propagation in subdural cortical electrostimulation: Characterization and modeling

Cortical stimulation via electrocorticography (ECoG) may be an effective method for inducing artificial sensation in bi-directional brain-computer interfaces (BD-BCIs). However, strong electrical artifacts caused by electrostimulation may significantly degrade or obscure neural information. A detail...

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Autores principales: Lim, Jeffrey, Wang, Po T., Shaw, Susan J., Gong, Hui, Armacost, Michelle, Liu, Charles Y., Do, An H., Heydari, Payam, Nenadic, Zoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596776/
https://www.ncbi.nlm.nih.gov/pubmed/36312030
http://dx.doi.org/10.3389/fnins.2022.1021097
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author Lim, Jeffrey
Wang, Po T.
Shaw, Susan J.
Gong, Hui
Armacost, Michelle
Liu, Charles Y.
Do, An H.
Heydari, Payam
Nenadic, Zoran
author_facet Lim, Jeffrey
Wang, Po T.
Shaw, Susan J.
Gong, Hui
Armacost, Michelle
Liu, Charles Y.
Do, An H.
Heydari, Payam
Nenadic, Zoran
author_sort Lim, Jeffrey
collection PubMed
description Cortical stimulation via electrocorticography (ECoG) may be an effective method for inducing artificial sensation in bi-directional brain-computer interfaces (BD-BCIs). However, strong electrical artifacts caused by electrostimulation may significantly degrade or obscure neural information. A detailed understanding of stimulation artifact propagation through relevant tissues may improve existing artifact suppression techniques or inspire the development of novel artifact mitigation strategies. Our work thus seeks to comprehensively characterize and model the propagation of artifacts in subdural ECoG stimulation. To this end, we collected and analyzed data from eloquent cortex mapping procedures of four subjects with epilepsy who were implanted with subdural ECoG electrodes. From this data, we observed that artifacts exhibited phase-locking and ratcheting characteristics in the time domain across all subjects. In the frequency domain, stimulation caused broadband power increases, as well as power bursts at the fundamental stimulation frequency and its super-harmonics. The spatial distribution of artifacts followed the potential distribution of an electric dipole with a median goodness-of-fit of R(2) = 0.80 across all subjects and stimulation channels. Artifacts as large as ±1,100 μV appeared anywhere from 4.43 to 38.34 mm from the stimulation channel. These temporal, spectral and spatial characteristics can be utilized to improve existing artifact suppression techniques, inspire new strategies for artifact mitigation, and aid in the development of novel cortical stimulation protocols. Taken together, these findings deepen our understanding of cortical electrostimulation and provide critical design specifications for future BD-BCI systems.
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spelling pubmed-95967762022-10-27 Artifact propagation in subdural cortical electrostimulation: Characterization and modeling Lim, Jeffrey Wang, Po T. Shaw, Susan J. Gong, Hui Armacost, Michelle Liu, Charles Y. Do, An H. Heydari, Payam Nenadic, Zoran Front Neurosci Neuroscience Cortical stimulation via electrocorticography (ECoG) may be an effective method for inducing artificial sensation in bi-directional brain-computer interfaces (BD-BCIs). However, strong electrical artifacts caused by electrostimulation may significantly degrade or obscure neural information. A detailed understanding of stimulation artifact propagation through relevant tissues may improve existing artifact suppression techniques or inspire the development of novel artifact mitigation strategies. Our work thus seeks to comprehensively characterize and model the propagation of artifacts in subdural ECoG stimulation. To this end, we collected and analyzed data from eloquent cortex mapping procedures of four subjects with epilepsy who were implanted with subdural ECoG electrodes. From this data, we observed that artifacts exhibited phase-locking and ratcheting characteristics in the time domain across all subjects. In the frequency domain, stimulation caused broadband power increases, as well as power bursts at the fundamental stimulation frequency and its super-harmonics. The spatial distribution of artifacts followed the potential distribution of an electric dipole with a median goodness-of-fit of R(2) = 0.80 across all subjects and stimulation channels. Artifacts as large as ±1,100 μV appeared anywhere from 4.43 to 38.34 mm from the stimulation channel. These temporal, spectral and spatial characteristics can be utilized to improve existing artifact suppression techniques, inspire new strategies for artifact mitigation, and aid in the development of novel cortical stimulation protocols. Taken together, these findings deepen our understanding of cortical electrostimulation and provide critical design specifications for future BD-BCI systems. Frontiers Media S.A. 2022-10-12 /pmc/articles/PMC9596776/ /pubmed/36312030 http://dx.doi.org/10.3389/fnins.2022.1021097 Text en Copyright © 2022 Lim, Wang, Shaw, Gong, Armacost, Liu, Do, Heydari and Nenadic. https://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
Lim, Jeffrey
Wang, Po T.
Shaw, Susan J.
Gong, Hui
Armacost, Michelle
Liu, Charles Y.
Do, An H.
Heydari, Payam
Nenadic, Zoran
Artifact propagation in subdural cortical electrostimulation: Characterization and modeling
title Artifact propagation in subdural cortical electrostimulation: Characterization and modeling
title_full Artifact propagation in subdural cortical electrostimulation: Characterization and modeling
title_fullStr Artifact propagation in subdural cortical electrostimulation: Characterization and modeling
title_full_unstemmed Artifact propagation in subdural cortical electrostimulation: Characterization and modeling
title_short Artifact propagation in subdural cortical electrostimulation: Characterization and modeling
title_sort artifact propagation in subdural cortical electrostimulation: characterization and modeling
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596776/
https://www.ncbi.nlm.nih.gov/pubmed/36312030
http://dx.doi.org/10.3389/fnins.2022.1021097
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