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Intra-Operative Behavioral Tasks in Awake Humans Undergoing Deep Brain Stimulation Surgery
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Method for localizing intraoperative recordings from deep brain stimulation surgery using post-operative structural

McKenzie Winter1, Jamie D Costabile2, Aviva Abosch2

  • 1Department of Cell and Developmental Biology, Modern Human Anatomy, United States.

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A new processing pipeline visualizes intraoperative electrophysiology signals with post-operative MRI for deep brain stimulation (DBS) surgery. This method enhances the anatomical localization of electrophysiological recordings for improved DBS targeting in movement disorders.

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Computational Neuroscience

Background:

  • Deep brain stimulation (DBS) is crucial for treating movement disorders like Parkinson's disease.
  • Intraoperative electrophysiological recordings guide DBS electrode placement.
  • Visualizing these recordings with post-operative imaging remains a challenge.

Purpose of the Study:

  • To develop a novel processing pipeline for visualizing intraoperative electrophysiological signals registered to post-operative neuroanatomical imaging.
  • To improve the anatomical localization of DBS targets during surgery.

Main Methods:

  • A processing pipeline using ITK-SNAP and MATLAB scripts was developed.
  • The method manually segments DBS electrodes from post-operative MRI.
  • It maps microelectrode recording depths along the DBS lead track.

Main Results:

  • The pipeline was demonstrated on Parkinson's disease patients undergoing subthalamic nucleus (STN) DBS.
  • Key components include lead wire extrapolation and intraoperative electrophysiology alignment.
  • The system visualizes intraoperative electrophysiology mapped onto post-operative MRI.

Conclusions:

  • The developed processing pipeline aids clinicians and researchers in deep brain stimulation.
  • It facilitates correlation and visualization of intraoperative recording data with post-operative DBS trajectories.
  • This enhances the precision of DBS targeting.