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MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation
PROPOSE: Directed cortical responses to intracranial electrical stimulation are a good standard for mapping inter-regional direct connectivity. Cortico-cortical evoked potential (CCEP), elicited by single pulse electrical stimulation (SPES), has been widely used to map the normal and abnormal brain...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236813/ https://www.ncbi.nlm.nih.gov/pubmed/34194294 http://dx.doi.org/10.3389/fnins.2021.652841 |
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author | Sun, Kaijia Wang, Haixiang Bai, Yunxian Zhou, Wenjing Wang, Liang |
author_facet | Sun, Kaijia Wang, Haixiang Bai, Yunxian Zhou, Wenjing Wang, Liang |
author_sort | Sun, Kaijia |
collection | PubMed |
description | PROPOSE: Directed cortical responses to intracranial electrical stimulation are a good standard for mapping inter-regional direct connectivity. Cortico-cortical evoked potential (CCEP), elicited by single pulse electrical stimulation (SPES), has been widely used to map the normal and abnormal brain effective network. However, automated processing of CCEP datasets and visualization of connectivity results remain challenging for researchers and clinicians. In this study, we develop a Matlab toolbox named MRIES (Mapping the Responses to Intracranial Electrical Stimulation) to automatically process CCEP data and visualize the connectivity results. METHOD: The MRIES integrates the processing pipeline of the CCEP datasets and various methods for connectivity calculation based on low- and high-frequency signals with stimulation artifacts removed. The connectivity matrices are saved in different folders for visualization. Different visualization patterns (connectivity matrix, circle map, surface map, and volume map) are also integrated to the graphical user interface (GUI), which makes it easy to intuitively display and compare different connectivity measurements. Furthermore, one sample CCEP data set collected from eight epilepsy patients is used to validate the MRIES toolbox. RESULT: We show the GUI and visualization functions of MRIES using one example CCEP data that has been described in a complete tutorial. We applied this toolbox to the sample CCEP data set to investigate the direct connectivity between the medial temporal lobe and the insular cortex. We find bidirectional connectivity between MTL and insular that are consistent with the findings of previous studies. CONCLUSION: MRIES has a friendly GUI and integrates the full processing pipeline of CCEP data and various visualization methods. The MRIES toolbox, tutorial, and example data can be freely downloaded. As an open-source package, MRIES is expected to improve the reproducibility of CCEP findings and facilitate clinical translation. |
format | Online Article Text |
id | pubmed-8236813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82368132021-06-29 MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation Sun, Kaijia Wang, Haixiang Bai, Yunxian Zhou, Wenjing Wang, Liang Front Neurosci Neuroscience PROPOSE: Directed cortical responses to intracranial electrical stimulation are a good standard for mapping inter-regional direct connectivity. Cortico-cortical evoked potential (CCEP), elicited by single pulse electrical stimulation (SPES), has been widely used to map the normal and abnormal brain effective network. However, automated processing of CCEP datasets and visualization of connectivity results remain challenging for researchers and clinicians. In this study, we develop a Matlab toolbox named MRIES (Mapping the Responses to Intracranial Electrical Stimulation) to automatically process CCEP data and visualize the connectivity results. METHOD: The MRIES integrates the processing pipeline of the CCEP datasets and various methods for connectivity calculation based on low- and high-frequency signals with stimulation artifacts removed. The connectivity matrices are saved in different folders for visualization. Different visualization patterns (connectivity matrix, circle map, surface map, and volume map) are also integrated to the graphical user interface (GUI), which makes it easy to intuitively display and compare different connectivity measurements. Furthermore, one sample CCEP data set collected from eight epilepsy patients is used to validate the MRIES toolbox. RESULT: We show the GUI and visualization functions of MRIES using one example CCEP data that has been described in a complete tutorial. We applied this toolbox to the sample CCEP data set to investigate the direct connectivity between the medial temporal lobe and the insular cortex. We find bidirectional connectivity between MTL and insular that are consistent with the findings of previous studies. CONCLUSION: MRIES has a friendly GUI and integrates the full processing pipeline of CCEP data and various visualization methods. The MRIES toolbox, tutorial, and example data can be freely downloaded. As an open-source package, MRIES is expected to improve the reproducibility of CCEP findings and facilitate clinical translation. Frontiers Media S.A. 2021-06-14 /pmc/articles/PMC8236813/ /pubmed/34194294 http://dx.doi.org/10.3389/fnins.2021.652841 Text en Copyright © 2021 Sun, Wang, Bai, Zhou and Wang. 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 Sun, Kaijia Wang, Haixiang Bai, Yunxian Zhou, Wenjing Wang, Liang MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation |
title | MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation |
title_full | MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation |
title_fullStr | MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation |
title_full_unstemmed | MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation |
title_short | MRIES: A Matlab Toolbox for Mapping the Responses to Intracranial Electrical Stimulation |
title_sort | mries: a matlab toolbox for mapping the responses to intracranial electrical stimulation |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236813/ https://www.ncbi.nlm.nih.gov/pubmed/34194294 http://dx.doi.org/10.3389/fnins.2021.652841 |
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