Theoretical analysis of the local field potential in deep brain stimulation applications.

Deep brain stimulation (DBS) is a common therapy for treating movement disorders, such as Parkinson's disease (PD), and provides a unique opportunity to study the neural activity of various subcortical structures in human patients. Local field potential (LFP) recordings are often performed with...

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Autores principales:	Scott F Lempka, Cameron C McIntyre
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bcc646f3daf544adb930c1950a9c1a94
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id	oai:doaj.org-article:bcc646f3daf544adb930c1950a9c1a94
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spelling	oai:doaj.org-article:bcc646f3daf544adb930c1950a9c1a942021-11-18T07:51:35ZTheoretical analysis of the local field potential in deep brain stimulation applications.1932-620310.1371/journal.pone.0059839https://doaj.org/article/bcc646f3daf544adb930c1950a9c1a942013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23555799/?tool=EBIhttps://doaj.org/toc/1932-6203Deep brain stimulation (DBS) is a common therapy for treating movement disorders, such as Parkinson's disease (PD), and provides a unique opportunity to study the neural activity of various subcortical structures in human patients. Local field potential (LFP) recordings are often performed with either intraoperative microelectrodes or DBS leads and reflect oscillatory activity within nuclei of the basal ganglia. These LFP recordings have numerous clinical implications and might someday be used to optimize DBS outcomes in closed-loop systems. However, the origin of the recorded LFP is poorly understood. Therefore, the goal of this study was to theoretically analyze LFP recordings within the context of clinical DBS applications. This goal was achieved with a detailed recording model of beta oscillations (∼20 Hz) in the subthalamic nucleus. The recording model consisted of finite element models of intraoperative microelectrodes and DBS macroelectrodes implanted in the brain along with multi-compartment cable models of STN projection neurons. Model analysis permitted systematic investigation into a number of variables that can affect the composition of the recorded LFP (e.g. electrode size, electrode impedance, recording configuration, and filtering effects of the brain, electrode-electrolyte interface, and recording electronics). The results of the study suggest that the spatial reach of the LFP can extend several millimeters. Model analysis also showed that variables such as electrode geometry and recording configuration can have a significant effect on LFP amplitude and spatial reach, while the effects of other variables, such as electrode impedance, are often negligible. The results of this study provide insight into the origin of the LFP and identify variables that need to be considered when analyzing LFP recordings in clinical DBS applications.Scott F LempkaCameron C McIntyrePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 3, p e59839 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Scott F Lempka Cameron C McIntyre Theoretical analysis of the local field potential in deep brain stimulation applications.
description	Deep brain stimulation (DBS) is a common therapy for treating movement disorders, such as Parkinson's disease (PD), and provides a unique opportunity to study the neural activity of various subcortical structures in human patients. Local field potential (LFP) recordings are often performed with either intraoperative microelectrodes or DBS leads and reflect oscillatory activity within nuclei of the basal ganglia. These LFP recordings have numerous clinical implications and might someday be used to optimize DBS outcomes in closed-loop systems. However, the origin of the recorded LFP is poorly understood. Therefore, the goal of this study was to theoretically analyze LFP recordings within the context of clinical DBS applications. This goal was achieved with a detailed recording model of beta oscillations (∼20 Hz) in the subthalamic nucleus. The recording model consisted of finite element models of intraoperative microelectrodes and DBS macroelectrodes implanted in the brain along with multi-compartment cable models of STN projection neurons. Model analysis permitted systematic investigation into a number of variables that can affect the composition of the recorded LFP (e.g. electrode size, electrode impedance, recording configuration, and filtering effects of the brain, electrode-electrolyte interface, and recording electronics). The results of the study suggest that the spatial reach of the LFP can extend several millimeters. Model analysis also showed that variables such as electrode geometry and recording configuration can have a significant effect on LFP amplitude and spatial reach, while the effects of other variables, such as electrode impedance, are often negligible. The results of this study provide insight into the origin of the LFP and identify variables that need to be considered when analyzing LFP recordings in clinical DBS applications.
format	article
author	Scott F Lempka Cameron C McIntyre
author_facet	Scott F Lempka Cameron C McIntyre
author_sort	Scott F Lempka
title	Theoretical analysis of the local field potential in deep brain stimulation applications.
title_short	Theoretical analysis of the local field potential in deep brain stimulation applications.
title_full	Theoretical analysis of the local field potential in deep brain stimulation applications.
title_fullStr	Theoretical analysis of the local field potential in deep brain stimulation applications.
title_full_unstemmed	Theoretical analysis of the local field potential in deep brain stimulation applications.
title_sort	theoretical analysis of the local field potential in deep brain stimulation applications.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/bcc646f3daf544adb930c1950a9c1a94
work_keys_str_mv	AT scottflempka theoreticalanalysisofthelocalfieldpotentialindeepbrainstimulationapplications AT cameroncmcintyre theoreticalanalysisofthelocalfieldpotentialindeepbrainstimulationapplications
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Theoretical analysis of the local field potential in deep brain stimulation applications.

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