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Intra-operative Identification of the Subthalamic Nucleus Motor Zone Using Goniometers

  • Conference paper
Information Processing in Computer-Assisted Interventions (IPCAI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7915))

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.

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Author information

Authors and Affiliations

  1. Department of Medical Neurobiology (Physiology), Institute of Medical Research – Israel-Canada (IMRIC), The Hebrew University-Hadassah Medical School, Jerusalem, Israel

    Reuben R. Shamir, Sivan Sheffer, Odeya Marmor-Levin, Dan Valsky, Shay Moshel & Hagai Bergman

  2. The Edmond and Lily Safra Brain Research Center (ELSC), The Hebrew Univ., Jerusalem, Israel

    Reuben R. Shamir, Adam Zaidel & Hagai Bergman

  3. Center for Functional & Restorative Neurosurgery, Department of Neurosurgery, Hadassah-Hebrew University Medical Center, Jerusalem, Israel

    Reuben R. Shamir, Sivan Sheffer & Zvi Israel

  4. Department of Psychiatry, Hadassah-Hebrew University Medical Center, Jerusalem, Israel

    Renana Eitan

  5. The Interdisciplinary Center for Neural Computation, The Hebrew University, Jerusalem, Israel

    Shay Moshel & Hagai Bergman

  6. The Jerusalem Mental Health Center, Kfar Shaul Hospital, Jerusalem, Israel

    Shay Moshel

  7. Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA

    Adam Zaidel

Authors
  1. Reuben R. Shamir
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  2. Renana Eitan
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  3. Sivan Sheffer
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  4. Odeya Marmor-Levin
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  5. Dan Valsky
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  6. Shay Moshel
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  7. Adam Zaidel
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  8. Hagai Bergman
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  9. Zvi Israel
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Editor information

Editors and Affiliations

  1. Centre for Medical Image Computing, University College London, WC1E 6BT, London, UK

    Dean Barratt

  2. INRIA, Shacra, 59650, Villeneuve d’Ascq, France

    Stéphane Cotin

  3. School of Computing, Queen’s University, K7L 3N6, Kingston, ON, Canada

    Gabor Fichtinger

  4. Inserm/Université de Rennes 1, 2, Avenue du Pr. Léon Bernard CS 34317, 35043, Rennes, France

    Pierre Jannin

  5. Department of Computer Science, Technische Universität München, Boltzmannstrasse 3, 85748, Garching, Germany

    Nassir Navab

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© 2013 Springer-Verlag Berlin Heidelberg

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Shamir, R.R. et al. (2013). Intra-operative Identification of the Subthalamic Nucleus Motor Zone Using Goniometers. In: Barratt, D., Cotin, S., Fichtinger, G., Jannin, P., Navab, N. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2013. Lecture Notes in Computer Science, vol 7915. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38568-1_3

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  • DOI: https://doi.org/10.1007/978-3-642-38568-1_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38567-4

  • Online ISBN: 978-3-642-38568-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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