Literature DB >> 17236505

Detection of the subthalamic nucleus in microelectrographic recordings in Parkinson disease using the high-frequency (> 500 hz) neuronal background. Technical note.

Peter Novak1, Slawomir Daniluk, Samuel A Ellias, Jules M Nazzaro.   

Abstract

Accurate and fast localization of the subthalamic nucleus (STN) during intraoperative electrophysiological monitoring can improve the outcome of deep brain stimulation surgery. The authors show a simple method of detecting the STN that is based on an analysis of the high-frequency (> 500 Hz) background (HFB) activity of neurons. The HFB reflects multiunit spiking activity close to the recording electrode, and its characteristic profile, which is higher in the STN than in neighboring structures, and facilitates delineation of both the dorsal and ventral STN borders.

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Year:  2007        PMID： 17236505     DOI： 10.3171/jns.2007.106.1.175

Source DB:  PubMed          Journal:  J Neurosurg        ISSN： 0022-3085            Impact factor:   5.115


  9 in total

1.  Depth-time interpolation of feature trends extracted from mobile microelectrode data with kernel functions.

Authors:  Stephen Wong; Eric L Hargreaves; Gordon H Baltuch; Jurg L Jaggi; Shabbar F Danish
Journal:  Stereotact Funct Neurosurg       Date:  2012-01-19       Impact factor: 1.875

2.  Automatic noise-level detection for extra-cellular micro-electrode recordings.

Authors:  Kevin Dolan; H C F Martens; P R Schuurman; L J Bour
Journal:  Med Biol Eng Comput       Date:  2009-05-26       Impact factor: 2.602

3.  A Computerized Microelectrode Recording to Magnetic Resonance Imaging Mapping System for Subthalamic Nucleus Deep Brain Stimulation Surgery.

Authors:  Sunjay S Dodani; Charles W Lu; J Wayne Aldridge; Kelvin L Chou; Parag G Patil
Journal:  Oper Neurosurg (Hagerstown)       Date:  2018-06-01       Impact factor: 2.703

4.  Stop! border ahead: Automatic detection of subthalamic exit during deep brain stimulation surgery.

Authors:  Dan Valsky; Odeya Marmor-Levin; Marc Deffains; Renana Eitan; Kim T Blackwell; Hagai Bergman; Zvi Israel
Journal:  Mov Disord       Date:  2016-10-06       Impact factor: 10.338

5.  Localization of the subthalamic nucleus in Parkinson disease using multiunit activity.

Authors:  Peter Novak; Andrzej W Przybyszewski; Andrei Barborica; Paula Ravin; Lee Margolin; Julie G Pilitsis
Journal:  J Neurol Sci       Date:  2011-11-15       Impact factor: 3.181

6.  Identification of the subthalamic nucleus in deep brain stimulation surgery with a novel wavelet-derived measure of neural background activity.

Authors:  André Snellings; Oren Sagher; David J Anderson; J Wayne Aldridge
Journal:  J Neurosurg       Date:  2009-10       Impact factor: 5.115

7.  Selection of the Optimal Algorithm for Real-Time Estimation of Beta Band Power during DBS Surgeries in Patients with Parkinson's Disease.

Authors:  Ángeles Tepper; Mauricio Carlos Henrich; Luciano Schiaffino; Alfredo Rosado Muñoz; Antonio Gutiérrez; Juan Guerrero Martínez
Journal:  Comput Intell Neurosci       Date:  2017-12-24

8.  Optimization of the KNN Supervised Classification Algorithm as a Support Tool for the Implantation of Deep Brain Stimulators in Patients with Parkinson's Disease.

Authors:  Gabriel Martin Bellino; Luciano Schiaffino; Marisa Battisti; Juan Guerrero; Alfredo Rosado-Muñoz
Journal:  Entropy (Basel)       Date:  2019-03-29       Impact factor: 2.524

9.  Clinical outcome prediction from analysis of microelectrode recordings using deep learning in subthalamic deep brain stimulation for Parkinson`s disease.

Authors:  Kwang Hyon Park; Sukkyu Sun; Yong Hoon Lim; Hye Ran Park; Jae Meen Lee; Kawngwoo Park; Beomseok Jeon; Hee-Pyoung Park; Hee Chan Kim; Sun Ha Paek
Journal:  PLoS One       Date:  2021-01-26       Impact factor: 3.240
  9 in total

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