Microelectrode Recordings Validate the Clinical Visualization of Subthalamic-Nucleus Based on 7T Magnetic Resonance Imaging and Machine Learning for Deep Brain Stimulation Surgery

Microelectrode Recordings Validate the Clinical Visualization of Subthalamic-Nucleus Based on 7T... AbstractBACKGROUNDDeep brain stimulation (DBS) of the subthalamic nucleus (STN) is a proven and effective therapy for the management of the motor symptoms of Parkinson's disease (PD). While accurate positioning of the stimulating electrode is critical for success of this therapy, precise identification of the STN based on imaging can be challenging. We developed a method to accurately visualize the STN on a standard clinical magnetic resonance imaging (MRI). The method incorporates a database of 7-Tesla (T) MRIs of PD patients together with machine-learning methods (hereafter 7 T-ML).OBJECTIVETo validate the clinical application accuracy of the 7 T-ML method by comparing it with identification of the STN based on intraoperative microelectrode recordings.METHODSSixteen PD patients who underwent microelectrode-recordings guided STN DBS were included in this study (30 implanted leads and electrode trajectories). The length of the STN along the electrode trajectory and the position of its contacts to dorsal, inside, or ventral to the STN were compared using microelectrode-recordings and the 7 T-ML method computed based on the patient's clinical 3T MRI.RESULTSAll 30 electrode trajectories that intersected the STN based on microelectrode-recordings, also intersected it when visualized with the 7 T-ML method. STN trajectory average length was 6.2 ± 0.7 mm based on microelectrode recordings and 5.8 ± 0.9 mm for the 7 T-ML method. We observed a 93% agreement regarding contact location between the microelectrode-recordings and the 7 T-ML method.CONCLUSIONThe 7 T-ML method is highly consistent with microelectrode-recordings data. This method provides a reliable and accurate patient-specific prediction for targeting the STN. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neurosurgery Oxford University Press

Microelectrode Recordings Validate the Clinical Visualization of Subthalamic-Nucleus Based on 7T Magnetic Resonance Imaging and Machine Learning for Deep Brain Stimulation Surgery

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Publisher
Oxford University Press
Copyright
Copyright © 2018 by the Congress of Neurological Surgeons
ISSN
0148-396X
eISSN
1524-4040
DOI
10.1093/neuros/nyy212
Publisher site
See Article on Publisher Site

Abstract

AbstractBACKGROUNDDeep brain stimulation (DBS) of the subthalamic nucleus (STN) is a proven and effective therapy for the management of the motor symptoms of Parkinson's disease (PD). While accurate positioning of the stimulating electrode is critical for success of this therapy, precise identification of the STN based on imaging can be challenging. We developed a method to accurately visualize the STN on a standard clinical magnetic resonance imaging (MRI). The method incorporates a database of 7-Tesla (T) MRIs of PD patients together with machine-learning methods (hereafter 7 T-ML).OBJECTIVETo validate the clinical application accuracy of the 7 T-ML method by comparing it with identification of the STN based on intraoperative microelectrode recordings.METHODSSixteen PD patients who underwent microelectrode-recordings guided STN DBS were included in this study (30 implanted leads and electrode trajectories). The length of the STN along the electrode trajectory and the position of its contacts to dorsal, inside, or ventral to the STN were compared using microelectrode-recordings and the 7 T-ML method computed based on the patient's clinical 3T MRI.RESULTSAll 30 electrode trajectories that intersected the STN based on microelectrode-recordings, also intersected it when visualized with the 7 T-ML method. STN trajectory average length was 6.2 ± 0.7 mm based on microelectrode recordings and 5.8 ± 0.9 mm for the 7 T-ML method. We observed a 93% agreement regarding contact location between the microelectrode-recordings and the 7 T-ML method.CONCLUSIONThe 7 T-ML method is highly consistent with microelectrode-recordings data. This method provides a reliable and accurate patient-specific prediction for targeting the STN.

Journal

Neurosurgery – Oxford University Press

Published: Mar 1, 2019

References

  • Ten-year outcome of subthalamic stimulation in Parkinson disease
  • Deep-brain stimulation of the subthalamic nucleus or the pars interna of the globus pallidus in Parkinson's disease
  • Bilateral deep brain stimulation in Parkinson's disease: a multicentre study with 4 years follow-up
  • Bilateral deep brain stimulation vs best medical therapy for patients with advanced Parkinson disease: a randomized controlled trial
  • Probabilistic analysis of activation volumes generated during deep brain stimulation
  • Deep brain stimulation of the subthalamic nucleus in Parkinson's disease: evaluation of active electrode contacts
  • Anatomo-clinical atlases correlate clinical data and electrode contact coordinates: application to subthalamic deep brain stimulation
  • Deep brain stimulation activation volumes and their association with neurophysiological mapping and therapeutic outcomes
  • Stimulation of subterritories of the subthalamic nucleus reveals its role in the integration of the emotional and motor aspects of behavior
  • Effects of deep brain stimulation of dorsal versus ventral subthalamic nucleus regions on gait and balance in Parkinson's disease
  • Weight gain is associated with medial contact site of subthalamic stimulation in Parkinson's disease
  • Optimal target localization for subthalamic stimulation in patients with Parkinson disease
  • Coordinate-based lead location does not predict Parkinson's disease deep brain stimulation outcome
  • Assessment of the variability in the anatomical position and size of the subthalamic nucleus among patients with advanced Parkinson's disease using magnetic resonance imaging
  • Intersurgeon variability in the selection of anterior and posterior commissures and its potential effects on target localization
  • Placement of deep brain stimulators into the subthalamic nucleus or Globus pallidus internus: technical approach
  • Targeting of the subthalamic nucleus for deep brain stimulation: A survey among parkinson disease specialists
  • Can we rely on susceptibility-weighted imaging for subthalamic nucleus identification in deep brain stimulation surgery?
  • The creation of a brain atlas for image guided neurosurgery using serial histological data
  • A mean three-dimensional atlas of the human thalamus: generation from multiple histological data
  • citation_publisher=Elsevier, San Diego; Atlas of the Human Brain
  • A three-dimensional, histological and deformable atlas of the human basal ganglia. I. Atlas construction based on immunohistochemical and MRI data
  • Localization of stimulating electrodes in patients with Parkinson disease by using a three-dimensional atlas—magnetic resonance imaging coregistration method
  • Higher neuronal discharge rate in the motor area of the subthalamic nucleus of Parkinsonian patients
  • Subthalamic nucleus long-range synchronization—an independent hallmark of human Parkinson's disease
  • Microelectrode recording duration and spatial density constraints for automatic targeting of the subthalamic nucleus
  • Delimiting subterritories of the human subthalamic nucleus by means of microelectrode recordings and a Hidden Markov Model
  • Subthalamic span of beta oscillations predicts deep brain stimulation efficacy for patients with Parkinson's disease
  • Activity parameters of subthalamic nucleus neurons selectively predict motor symptom severity in Parkinson's disease
  • Long-term outcome of subthalamic nucleus deep brain stimulation for Parkinson's disease using an MRI-guided and MRI-verified approach
  • Accuracy of deep brain stimulation electrode placement using intraoperative computed tomography without microelectrode recording
  • Clinical outcomes of asleep vs awake deep brain stimulation for Parkinson disease
  • Brain penetration effects of microelectrodes and DBS leads in STN or GPi
  • MRI-guided subthalamic nucleus deep brain stimulation without microelectrode recording: can we dispense with surgery under local anaesthesia?
  • Accuracy of subthalamic nucleus targeting by T2, FLAIR and SWI-3-Tesla MRI confirmed by microelectrode recordings
  • An assessment of current brain targets for deep brain stimulation surgery with susceptibility-weighted imaging at 7 tesla
  • Feasibility of using ultra-high field (7 T) MRI for clinical surgical targeting
  • Comprehensive in vivo mapping of the human basal ganglia and thalamic connectome in individuals using 7 T MRI
  • Clinical outcomes of PD patients having bilateral STN DBS using high-field interventional MR-imaging for lead placement
  • Subthalamic nucleus deep brain stimulator placement using high-field interventional magnetic resonance imaging and a skull-mounted aiming device: technique and application accuracy
  • Surgical accuracy of 3-Tesla versus 7-Tesla magnetic resonance imaging in deep brain stimulation for Parkinson disease
  • Toward defining deep brain stimulation targets in MNI space: a subcortical atlas based on multimodal MRI, histology and structural connectivity
  • Robust prediction of clinical deep brain stimulation target structures via the estimation of influential high-field MR atlases
  • Targeting accuracy of the subthalamic nucleus in deep brain stimulation surgery: comparison between 3 T T2-Weighted magnetic resonance imaging and microelectrode recording results
  • Correspondence of microelectrode mapping with magnetic resonance imaging for subthalamic nucleus procedures
  • Discrepancies between the MRI- and the electrophysiologically defined subthalamic nucleus
  • Comparative study of microelectrode recording-based STN location and MRI-based STN location in low to ultra-high field (7.0 T) T2-weighted MRI images
  • Utilization of quantitative susceptibility mapping for direct targeting of the subthalamic nucleus during deep brain stimulation surgery
  • A unified gradient-based approach for combining ASM into AAM
  • Clinical deep brain stimulation region prediction using regression forests from high-field MRI
  • Clinical subthalamic nucleus prediction from high-field brain MRI
  • Influence of intracranial air on electrode position and clinical outcomes following deep brain stimulation for Parkinson's disease
  • A reproducible evaluation of ANTs similarity metric performance in brain image registration
  • The optimal template effect in hippocampus studies of diseased populations
  • 3D Slicer as an image computing platform for the Quantitative Imaging Network
  • Effect of brain shift on the creation of functional atlases for deep brain stimulation surgery
  • Machine learning approach to optimizing combined stimulation and medication therapies for Parkinson's disease
  • Levodopa and subthalamic deep brain stimulation responses are not congruent
  • Awake versus asleep deep brain stimulation for Parkinson's disease: a critical comparison and meta-analysis
  • Clinical outcomes of asleep vs awake deep brain stimulation for Parkinson disease
  • Fully automated targeting using nonrigid image registration matches accuracy and exceeds precision of best manual approaches to subthalamic deep brain stimulation targeting in Parkinson disease

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