Semi-automated application for estimating subthalamic nucleus boundaries and optimal target selection for deep brain stimulation implantation surgery

Journal of Neurosurgery
John A ThompsonAviva Abosch

Abstract

OBJECTIVEDeep brain stimulation (DBS) of the subthalamic nucleus (STN) has become standard care for the surgical treatment of Parkinson's disease (PD). Reliable interpretation of microelectrode recording (MER) data, used to guide DBS implantation surgery, requires expert electrophysiological evaluation. Recent efforts have endeavored to use electrophysiological signals for automatic detection of relevant brain structures and optimal implant target location.The authors conducted an observational case-control study to evaluate a software package implemented on an electrophysiological recording system to provide online objective estimates for entry into and exit from the STN. In addition, they evaluated the accuracy of the software in selecting electrode track and depth for DBS implantation into STN, which relied on detecting changes in spectrum activity.METHODSData were retrospectively collected from 105 MER-guided STN-DBS surgeries (4 experienced neurosurgeons; 3 sites), in which estimates for entry into and exit from the STN, DBS track selection, and implant depth were compared post hoc between those determined by the software and those determined by the implanting neurosurgeon/neurophysiologist during surgery.RESULTSThis multi...Continue Reading

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Citations

May 20, 2020·Movement Disorders : Official Journal of the Movement Disorder Society·Luka MilosevicAlireza Gharabaghi
Dec 1, 2018·Bioelectronics in Medicine·Xiaoyu PengCristin G Welle
Apr 20, 2021·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·M Sohail Noor, Cameron C McIntyre

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