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Related Experiment Video

Updated: Sep 22, 2025

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Lead-OR: A multimodal platform for deep brain stimulation surgery.

Simón Oxenford1, Jan Roediger1,2, Clemens Neudorfer1,3,4

  • 1Movement Disorders and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.

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|May 20, 2022
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Summary

This study introduces a new software tool that combines brain imaging and electrophysiology data for improved deep brain stimulation (DBS) surgery accuracy. The open-source platform offers real-time visualization, enhancing surgical planning and execution.

Keywords:
Parkinson's diseasedeep brain stimulationhumanmedicinemicro electrode recordingsneurosciencestereotactic surgerysurgery navigation

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Computational Neuroscience

Background:

  • Deep brain stimulation (DBS) electrode placement relies on preoperative neuroimaging.
  • Microelectrode recordings (MERs) provide neurophysiological data to validate trajectories.
  • Current methods analyze imaging and electrophysiology data separately, lacking integration.

Purpose of the Study:

  • To develop a software tool for real-time, multimodal data visualization during DBS surgery.
  • To integrate stereotactic planning, neuroimaging, MER, and atlas data.
  • To bridge the gap between separate analyses of imaging and electrophysiological data.

Main Methods:

  • Developed an open-source software tool for integrating stereotactic planning, neuroimaging, MER, and high-resolution atlas data.
  • Created a real-time visualization of electrode implant trajectories.
  • Validated the tool using a retrospective cohort of 52 DBS patients and presented single-use case examples.

Main Results:

  • Established a software tool for multimodal data visualization and analysis in DBS surgery.
  • Demonstrated a general correspondence between neuroimaging features and electrophysiological recordings.
  • Provided examples showcasing the tool's functionality in real-time surgical scenarios.

Conclusions:

  • The novel software platform has translational potential to enhance the accuracy of DBS surgery.
  • The open-source toolbox is extendable for integration with additional software packages.
  • This multimodal approach offers a new paradigm for DBS surgical planning and execution.