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Electrode Location in a Microelectrode Recording-Based Model of the Subthalamic Nucleus Can Predict Motor Improvement After Deep Brain Stimulation for Parkinson’s Disease

Motor improvement after deep brain stimulation (DBS) in the subthalamic nucleus (STN) may vary substantially between Parkinson’s disease (PD) patients. Research into the relation between improvement and active contact location requires a correction for anatomical variation. We studied the relation b...

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Autores principales: Verhagen, Rens, Bour, Lo J., Odekerken, Vincent J. J., van den Munckhof, Pepijn, Schuurman, P. Richard, de Bie, Rob M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469020/
https://www.ncbi.nlm.nih.gov/pubmed/30832214
http://dx.doi.org/10.3390/brainsci9030051
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author Verhagen, Rens
Bour, Lo J.
Odekerken, Vincent J. J.
van den Munckhof, Pepijn
Schuurman, P. Richard
de Bie, Rob M. A.
author_facet Verhagen, Rens
Bour, Lo J.
Odekerken, Vincent J. J.
van den Munckhof, Pepijn
Schuurman, P. Richard
de Bie, Rob M. A.
author_sort Verhagen, Rens
collection PubMed
description Motor improvement after deep brain stimulation (DBS) in the subthalamic nucleus (STN) may vary substantially between Parkinson’s disease (PD) patients. Research into the relation between improvement and active contact location requires a correction for anatomical variation. We studied the relation between active contact location relative to the neurophysiological STN, estimated by the intraoperative microelectrode recordings (MER-based STN), and contralateral motor improvement after one year. A generic STN shape was transformed to fit onto the stereotactically defined MER sites. The location of 43 electrodes (26 patients), derived from MRI-fused CT images, was expressed relative to this patient-specific MER-based STN. Using regression analyses, the relation between contact location and motor improvement was studied. The regression model that predicts motor improvement based on levodopa effect alone was significantly improved by adding the one-year active contact coordinates (R(2) change = 0.176, p = 0.014). In the combined prediction model (adjusted R(2) = 0.389, p < 0.001), the largest contribution was made by the mediolateral location of the active contact (standardized beta = 0.490, p = 0.002). With the MER-based STN as a reference, we were able to find a significant relation between active contact location and motor improvement. MER-based STN modeling can be used to complement imaging-based STN models in the application of DBS.
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spelling pubmed-64690202019-04-23 Electrode Location in a Microelectrode Recording-Based Model of the Subthalamic Nucleus Can Predict Motor Improvement After Deep Brain Stimulation for Parkinson’s Disease Verhagen, Rens Bour, Lo J. Odekerken, Vincent J. J. van den Munckhof, Pepijn Schuurman, P. Richard de Bie, Rob M. A. Brain Sci Article Motor improvement after deep brain stimulation (DBS) in the subthalamic nucleus (STN) may vary substantially between Parkinson’s disease (PD) patients. Research into the relation between improvement and active contact location requires a correction for anatomical variation. We studied the relation between active contact location relative to the neurophysiological STN, estimated by the intraoperative microelectrode recordings (MER-based STN), and contralateral motor improvement after one year. A generic STN shape was transformed to fit onto the stereotactically defined MER sites. The location of 43 electrodes (26 patients), derived from MRI-fused CT images, was expressed relative to this patient-specific MER-based STN. Using regression analyses, the relation between contact location and motor improvement was studied. The regression model that predicts motor improvement based on levodopa effect alone was significantly improved by adding the one-year active contact coordinates (R(2) change = 0.176, p = 0.014). In the combined prediction model (adjusted R(2) = 0.389, p < 0.001), the largest contribution was made by the mediolateral location of the active contact (standardized beta = 0.490, p = 0.002). With the MER-based STN as a reference, we were able to find a significant relation between active contact location and motor improvement. MER-based STN modeling can be used to complement imaging-based STN models in the application of DBS. MDPI 2019-03-01 /pmc/articles/PMC6469020/ /pubmed/30832214 http://dx.doi.org/10.3390/brainsci9030051 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Verhagen, Rens
Bour, Lo J.
Odekerken, Vincent J. J.
van den Munckhof, Pepijn
Schuurman, P. Richard
de Bie, Rob M. A.
Electrode Location in a Microelectrode Recording-Based Model of the Subthalamic Nucleus Can Predict Motor Improvement After Deep Brain Stimulation for Parkinson’s Disease
title Electrode Location in a Microelectrode Recording-Based Model of the Subthalamic Nucleus Can Predict Motor Improvement After Deep Brain Stimulation for Parkinson’s Disease
title_full Electrode Location in a Microelectrode Recording-Based Model of the Subthalamic Nucleus Can Predict Motor Improvement After Deep Brain Stimulation for Parkinson’s Disease
title_fullStr Electrode Location in a Microelectrode Recording-Based Model of the Subthalamic Nucleus Can Predict Motor Improvement After Deep Brain Stimulation for Parkinson’s Disease
title_full_unstemmed Electrode Location in a Microelectrode Recording-Based Model of the Subthalamic Nucleus Can Predict Motor Improvement After Deep Brain Stimulation for Parkinson’s Disease
title_short Electrode Location in a Microelectrode Recording-Based Model of the Subthalamic Nucleus Can Predict Motor Improvement After Deep Brain Stimulation for Parkinson’s Disease
title_sort electrode location in a microelectrode recording-based model of the subthalamic nucleus can predict motor improvement after deep brain stimulation for parkinson’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469020/
https://www.ncbi.nlm.nih.gov/pubmed/30832214
http://dx.doi.org/10.3390/brainsci9030051
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