Literature DB >> 22508394

Microelectrode targeting of the subthalamic nucleus for deep brain stimulation surgery.

Erwin B Montgomery1.   

Abstract

Though microelectrode recordings likely increase the risks and costs of DBS, incremental improvement in accuracy may translate into improved outcomes that justify these risks and costs. Clinically based, controlled studies to resolve these issues are problematic. Until such studies are reported, physicians must rely on indirect evidence. The spatial variability of physiologically defined optimal targets, as determined by microelectrode recording (MER), necessary for targeting the STN was calculated. Study of the effectiveness of a MER algorithm was based on the number of penetrations required. The radius of the volume with a 99% chance of including the physiologically defined optimal target, based on 108 cases, was 4.5 mm. This is larger than the estimated radius of the DBS effect, which is variously estimated to be 2 to 3.9 mm. The 99% confidence radius in the plane orthogonal to the lead was 3.2 mm. In 70% of cases, the imaging-based trajectories corresponded to the physiologically defined optimal target. For the remaining 30% of cases, 70% required only a single additional MER tract. The radii of the 99% confidence volume and area may be larger than the effective radius of stimulation. Surveying within those volumes or areas is therefore necessary to assure that at least 99% of cases will cover the physiologically defined target. The MER algorithm was robust in detecting the physiologically defined optimal target. However, there are significant caveats in interpretation of the data.
Copyright © 2012 Movement Disorder Society.

Entities:  

Mesh:

Year:  2012        PMID: 22508394     DOI: 10.1002/mds.25000

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  8 in total

1.  Does the Use of Intraoperative Microelectrode Recording Influence the Final Location of Lead Implants in the Ventral Intermediate Nucleus for Deep Brain Stimulation?

Authors:  Sujan Reddy; Albert Fenoy; Erin Furr-Stimming; Mya Schiess; Raja Mehanna
Journal:  Cerebellum       Date:  2017-04       Impact factor: 3.847

2.  A review of basal ganglia circuits and physiology: Application to deep brain stimulation.

Authors:  Robert S Eisinger; Stephanie Cernera; Aryn Gittis; Aysegul Gunduz; Michael S Okun
Journal:  Parkinsonism Relat Disord       Date:  2019-01-09       Impact factor: 4.891

3.  The Accuracy of Imaging Guided Targeting with Microelectrode Recoding in Subthalamic Nucleus for Parkinson's Disease: A Single-Center Experience.

Authors:  Zhe Zheng; Zhoule Zhu; Yuqi Ying; Hongjie Jiang; Hemmings Wu; Jun Tian; Wei Luo; Junming Zhu
Journal:  J Parkinsons Dis       Date:  2022       Impact factor: 5.520

4.  Anesthesia for deep brain stimulation system implantation: adapted protocol for awake and asleep surgery using microelectrode recordings.

Authors:  Jan Vesper; Bernd Mainzer; Farhad Senemmar; Alfons Schnitzler; Stefan Jun Groiss; Philipp J Slotty
Journal:  Acta Neurochir (Wien)       Date:  2022-02-25       Impact factor: 2.216

Review 5.  Deep Brain Stimulation: A Paradigm Shifting Approach to Treat Parkinson's Disease.

Authors:  Patrick Hickey; Mark Stacy
Journal:  Front Neurosci       Date:  2016-04-28       Impact factor: 4.677

6.  Outcomes of Interventional-MRI Versus Microelectrode Recording-Guided Subthalamic Deep Brain Stimulation.

Authors:  Philip S Lee; Gregory M Weiner; Danielle Corson; Jessica Kappel; Yue-Fang Chang; Valerie R Suski; Sarah B Berman; Houman Homayoun; Amber D Van Laar; Donald J Crammond; R Mark Richardson
Journal:  Front Neurol       Date:  2018-04-11       Impact factor: 4.003

7.  Mapping of subthalamic nucleus using microelectrode recordings during deep brain stimulation.

Authors:  Nabin Koirala; Lucas Serrano; Steffen Paschen; Daniela Falk; Abdul Rauf Anwar; Pradeep Kuravi; Günther Deuschl; Sergiu Groppa; Muthuraman Muthuraman
Journal:  Sci Rep       Date:  2020-11-06       Impact factor: 4.379

Review 8.  Neurophysiological biomarkers to optimize deep brain stimulation in movement disorders.

Authors:  Daniel Sirica; Angela L Hewitt; Christopher G Tarolli; Miriam T Weber; Carol Zimmerman; Aida Santiago; Andrew Wensel; Jonathan W Mink; Karlo J Lizárraga
Journal:  Neurodegener Dis Manag       Date:  2021-07-15
  8 in total

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