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N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery

Epilepsy affects more than three million people in the United States. In approximately one-third of this population, anti-seizure medications do not control seizures. Many patients pursue surgical treatment that can include a procedure involving the implantation of electrodes for intracranial monito...

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Autores principales: Burkhardt, Jay, Sharma, Aaryaman, Tan, Jack, Franke, Loraine, Leburu, Jahnavi, Jeschke, Jay, Devore, Sasha, Friedman, Daniel, Chen, Jingyun, Haehn, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580919/
https://www.ncbi.nlm.nih.gov/pubmed/36304315
http://dx.doi.org/10.3389/fbinf.2022.857577
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author Burkhardt, Jay
Sharma, Aaryaman
Tan, Jack
Franke, Loraine
Leburu, Jahnavi
Jeschke, Jay
Devore, Sasha
Friedman, Daniel
Chen, Jingyun
Haehn, Daniel
author_facet Burkhardt, Jay
Sharma, Aaryaman
Tan, Jack
Franke, Loraine
Leburu, Jahnavi
Jeschke, Jay
Devore, Sasha
Friedman, Daniel
Chen, Jingyun
Haehn, Daniel
author_sort Burkhardt, Jay
collection PubMed
description Epilepsy affects more than three million people in the United States. In approximately one-third of this population, anti-seizure medications do not control seizures. Many patients pursue surgical treatment that can include a procedure involving the implantation of electrodes for intracranial monitoring of seizure activity. For these cases, accurate mapping of the implanted electrodes on a patient’s brain is crucial in planning the ultimate surgical treatment. Traditionally, electrode mapping results are presented in static figures that do not allow for dynamic interactions and visualizations. In collaboration with a clinical research team at a Level 4 Epilepsy Center, we developed N-Tools-Browser, a web-based software using WebGL and the X-Toolkit (XTK), to help clinicians interactively visualize the location and functional properties of implanted intracranial electrodes in 3D. Our software allows the user to visualize the seizure focus location accurately and simultaneously display functional characteristics (e.g., results from electrical stimulation mapping). Different visualization modes enable the analysis of multiple electrode groups or individual anatomical locations. We deployed a prototype of N-Tools-Browser for our collaborators at the New York University Grossman School of Medicine Comprehensive Epilepsy Center. Then, we evaluated its usefulness with domain experts on clinical cases.
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spelling pubmed-95809192022-10-26 N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery Burkhardt, Jay Sharma, Aaryaman Tan, Jack Franke, Loraine Leburu, Jahnavi Jeschke, Jay Devore, Sasha Friedman, Daniel Chen, Jingyun Haehn, Daniel Front Bioinform Bioinformatics Epilepsy affects more than three million people in the United States. In approximately one-third of this population, anti-seizure medications do not control seizures. Many patients pursue surgical treatment that can include a procedure involving the implantation of electrodes for intracranial monitoring of seizure activity. For these cases, accurate mapping of the implanted electrodes on a patient’s brain is crucial in planning the ultimate surgical treatment. Traditionally, electrode mapping results are presented in static figures that do not allow for dynamic interactions and visualizations. In collaboration with a clinical research team at a Level 4 Epilepsy Center, we developed N-Tools-Browser, a web-based software using WebGL and the X-Toolkit (XTK), to help clinicians interactively visualize the location and functional properties of implanted intracranial electrodes in 3D. Our software allows the user to visualize the seizure focus location accurately and simultaneously display functional characteristics (e.g., results from electrical stimulation mapping). Different visualization modes enable the analysis of multiple electrode groups or individual anatomical locations. We deployed a prototype of N-Tools-Browser for our collaborators at the New York University Grossman School of Medicine Comprehensive Epilepsy Center. Then, we evaluated its usefulness with domain experts on clinical cases. Frontiers Media S.A. 2022-04-21 /pmc/articles/PMC9580919/ /pubmed/36304315 http://dx.doi.org/10.3389/fbinf.2022.857577 Text en Copyright © 2022 Burkhardt, Sharma, Tan, Franke, Leburu, Jeschke, Devore, Friedman, Chen and Haehn. 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 Bioinformatics
Burkhardt, Jay
Sharma, Aaryaman
Tan, Jack
Franke, Loraine
Leburu, Jahnavi
Jeschke, Jay
Devore, Sasha
Friedman, Daniel
Chen, Jingyun
Haehn, Daniel
N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery
title N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery
title_full N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery
title_fullStr N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery
title_full_unstemmed N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery
title_short N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery
title_sort n-tools-browser: web-based visualization of electrocorticography data for epilepsy surgery
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580919/
https://www.ncbi.nlm.nih.gov/pubmed/36304315
http://dx.doi.org/10.3389/fbinf.2022.857577
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