Intra-operative identification of the subthalamic nucleus motor zone using goniometers

Reuben R. Shamir, Renana Eitan, Sivan Sheffer, Odeya Marmor-Levin, Dan Valsky, Shay Moshel, Adam Zaidel, Hagai Bergman, Zvi Israel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The current state of the art for identification of motor related neural activity during deep brain stimulation (DBS) surgery utilizes manual movements of the patient's joints while observing the recorded raw data of a single electrode. Here we describe an intra-operative method for detection of the motor territory of the subthalamic nucleus (STN) during DBS surgery. The method incorporates eight goniometers that continuously monitor and measure the angles of the wrist, elbow, knee and ankle, bilaterally. The joint movement data and microelectrode recordings from the STN are synchronized thus enabling objective intra-operative assessment of movement-related STN activity. This method is now used routinely in DBS surgery at our institute. Advantages include objective identification of motor areas, simultaneous detection of movement for all joints, detection of movement at a joint that is not under examination, shorter surgery time, and continuous monitoring of STN activity for patients with tremor.

Original languageEnglish
Title of host publicationInformation Processing in Computer-Assisted Interventions - 4th International Conference, IPCAI 2013, Proceedings
Pages21-29
Number of pages9
DOIs
StatePublished - 2013
Externally publishedYes
Event4th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2013 - Heidelberg, Germany
Duration: 26 Jun 201326 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7915 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2013
Country/TerritoryGermany
CityHeidelberg
Period26/06/1326/06/13

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