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Method for localizing intraoperative recordings from deep brain stimulation surgery using post-operative structural MRI

BACKGROUND: Implantation of deep brain stimulation (DBS) electrodes for the treatment of involuntary movement disorders, such as Parkinson's disease, routinely relies on the use of intraoperative electrophysiological confirmation to identify the optimal therapeutic target in the brain. However,...

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Detalles Bibliográficos
Autores principales: Winter, McKenzie, Costabile, Jamie D., Abosch, Aviva, Thompson, John A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6205403/
https://www.ncbi.nlm.nih.gov/pubmed/30380519
http://dx.doi.org/10.1016/j.nicl.2018.10.016
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author Winter, McKenzie
Costabile, Jamie D.
Abosch, Aviva
Thompson, John A.
author_facet Winter, McKenzie
Costabile, Jamie D.
Abosch, Aviva
Thompson, John A.
author_sort Winter, McKenzie
collection PubMed
description BACKGROUND: Implantation of deep brain stimulation (DBS) electrodes for the treatment of involuntary movement disorders, such as Parkinson's disease, routinely relies on the use of intraoperative electrophysiological confirmation to identify the optimal therapeutic target in the brain. However, only a few options exist to visualize the relative anatomic localization of intraoperative electrophysiological recordings with respect to post-operative imaging. We have developed a novel processing pipeline to visualize intraoperative electrophysiological signals registered to post-operative neuroanatomical imaging. NEW METHOD: We developed a processing pipeline built on the use of ITK-SNAP and custom MATLAB scripts to visualize the anatomical localization of intraoperative electrophysiological recordings mapped onto the post-operative MRI following implantation of DBS electrodes. This method combines the user-defined relevant electrophysiological parameters measured during the surgery with a manual segmentation of the DBS electrode from post-operative MRI; mapping the microelectrode recording (MER) depths along the DBS lead track. RESULTS: We demonstrate the use of our processing pipeline on data from Parkinson's disease patients undergoing DBS implantation targeted to the subthalamic nucleus (STN). The primary processing components of the pipeline are: extrapolation of the lead wire and alignment of intraoperative electrophysiology. CONCLUSION: We describe the use of a processing pipeline to aid clinicians and researchers engaged in deep brain stimulation work to correlate and visualize the intraoperative recording data with the post-operative DBS trajectory.
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spelling pubmed-62054032018-11-07 Method for localizing intraoperative recordings from deep brain stimulation surgery using post-operative structural MRI Winter, McKenzie Costabile, Jamie D. Abosch, Aviva Thompson, John A. Neuroimage Clin Regular Article BACKGROUND: Implantation of deep brain stimulation (DBS) electrodes for the treatment of involuntary movement disorders, such as Parkinson's disease, routinely relies on the use of intraoperative electrophysiological confirmation to identify the optimal therapeutic target in the brain. However, only a few options exist to visualize the relative anatomic localization of intraoperative electrophysiological recordings with respect to post-operative imaging. We have developed a novel processing pipeline to visualize intraoperative electrophysiological signals registered to post-operative neuroanatomical imaging. NEW METHOD: We developed a processing pipeline built on the use of ITK-SNAP and custom MATLAB scripts to visualize the anatomical localization of intraoperative electrophysiological recordings mapped onto the post-operative MRI following implantation of DBS electrodes. This method combines the user-defined relevant electrophysiological parameters measured during the surgery with a manual segmentation of the DBS electrode from post-operative MRI; mapping the microelectrode recording (MER) depths along the DBS lead track. RESULTS: We demonstrate the use of our processing pipeline on data from Parkinson's disease patients undergoing DBS implantation targeted to the subthalamic nucleus (STN). The primary processing components of the pipeline are: extrapolation of the lead wire and alignment of intraoperative electrophysiology. CONCLUSION: We describe the use of a processing pipeline to aid clinicians and researchers engaged in deep brain stimulation work to correlate and visualize the intraoperative recording data with the post-operative DBS trajectory. Elsevier 2018-10-16 /pmc/articles/PMC6205403/ /pubmed/30380519 http://dx.doi.org/10.1016/j.nicl.2018.10.016 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Winter, McKenzie
Costabile, Jamie D.
Abosch, Aviva
Thompson, John A.
Method for localizing intraoperative recordings from deep brain stimulation surgery using post-operative structural MRI
title Method for localizing intraoperative recordings from deep brain stimulation surgery using post-operative structural MRI
title_full Method for localizing intraoperative recordings from deep brain stimulation surgery using post-operative structural MRI
title_fullStr Method for localizing intraoperative recordings from deep brain stimulation surgery using post-operative structural MRI
title_full_unstemmed Method for localizing intraoperative recordings from deep brain stimulation surgery using post-operative structural MRI
title_short Method for localizing intraoperative recordings from deep brain stimulation surgery using post-operative structural MRI
title_sort method for localizing intraoperative recordings from deep brain stimulation surgery using post-operative structural mri
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6205403/
https://www.ncbi.nlm.nih.gov/pubmed/30380519
http://dx.doi.org/10.1016/j.nicl.2018.10.016
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