Related Experiment Video
Updated: Dec 16, 2025
Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
Published on: July 16, 2014
Automated detection of subthalamic nucleus in deep brain stimulation surgery for Parkinson's disease using
P A Karthick1, Kai Rui Wan2, Angela See An Qi2
1Department of Instrumentation and Control Engineering, National Institute of Technology, Tiruchirappalli, India; School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Ave, 639798, Singapore.
Background:
Deep brain stimulation (DBS) to the subthalamic nucleus (STN) is an effective neurosurgery that overcomes the motor system alternations of patients with advanced Parkinson's disease. The most challenging aspect of DBS surgery is the accurate identification of STN and its borders. In general, it is performed manually by a neurophysiologist using the microelectrode recordings (MERs). This process is subjective, and tedious and further, interpretation of MERs is difficult because of its inherent nonstationary variations.
New Methods:
In this work, the wavelet-packet based features are proposed to automatically localize the STN and its subcortical structures using microelectrode recorded signals during DBS surgery. The study analyses 2904 MERs of 26 PD patients who underwent DBS implantation. The low and high order statistical parameters are extracted from the wavelet packet coefficients of MERs and used in the classifications, namely, non-STN vs. STN, pre-STN vs. STN and STN vs. post-STN.
Results:
Most of the features are significantly different in STN and its subcortical regions, namely, pre-STN and post-STN. The proposed features achieve an average accuracy of 85 % in non-STN vs. STN, 87.2 % in pre-STN vs. STN and 77.7 % in STN vs. post-STN. The accuracy is improved by around 10 % in non-STN vs. STN and STN vs. post-STN when the transition error is 1 mm.
Comparison With Existing Methods:
The proposed features are found to be better than the wavelet features.
Conclusions:
The proposed approach could be a potential useful adjunct for the real-time rapid intraoperative identification of STN and its anatomical borders.
More Related Videos
10:52Microelectrode Guided Implantation of Electrodes into the Subthalamic Nucleus of Rats for Long-term Deep Brain Stimulation
Published on: October 2, 2015
14:14Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
Published on: August 12, 2018