학술논문

Characterization of Microelectrode Recordings for the Subthalamic Nucleus identification in Parkinson’s disease
Document Type
Conference
Source
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Engineering in Medicine & Biology Society (EMBC), 2020 42nd Annual International Conference of the IEEE. :3485-3488 Jul, 2020
Subject
Bioengineering
Feature extraction
Satellite broadcasting
Frequency-domain analysis
Surgery
Action potentials
Band-pass filters
Electrodes
Language
ISSN
2694-0604
Abstract
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective treatment for Parkinson’s disease, when the pharmacological approach has no more effect. DBS efficacy strongly depends on the accurate localization of the STN and the adequate positioning of the stimulation electrode during DBS stereotactic surgery. During this procedure, the analysis of microelectrode recordings (MER) is fundamental to assess the correct localization. Therefore, in this work, we explore different signal feature types for the characterization of the MER signals associated to STN from NON-STN structures. We extracted a set of spike-dependent (action potential domain) and spike-independent features in the time and frequency domain to evaluate their usefulness in distinguishing the STN from other structures. We discuss the results from a physiological and methodological point of view, showing the superiority of features having a direct electrophysiological interpretation.Clinical Relevance— The identification of a simple, clinically interpretable, and powerful set of features for the STN localization would support the clinical positioning of the DBS electrode, improving the treatment outcome.