Noise removal of deep brain stimulation artifacts in subthalamic nucleus neurons local field induced electrical potentials

Abstract

This study presents a noise-removal technique for the microelectrode signals of subthalamic-nuclei (STN) neurons acquired by MER machine through electrical stimulations with subthalamic-nuclei deep brain stimulation/or stimulator (STN-DBS) in local field potentials (LFPs). We proposed a novel method for the removal of induced stimuli-artifacts triggered by pulse-generators differed in typical LFPs (low-frequency potentials) signals. The method is processed and tested for accuracy and computed for execution in vitro-states. Results indicated that the stimulus-artifacts are well suppressed by this method. And also it is tested in vivo-states of Parkinson’s disease (PD) subjects (patients). It is applied to process signals of LFPs gathered intra operatively from PDs to preliminarily explore quantitative dependencies-of beta-band synchronous variations within STN, DBS parameters (stimulus-intensity, stimulus-voltage, frequency, and amplitude pulse-width). Findings showed that the DBS process can overcome excessive beta-frequency (30Hz) activity plus that the degree of reduction rises with increasing DBS current in the range-of 1-3Volts then boosting stimulus-frequency within a range of 60-120Hz. The method offers scientific-research and technical support for exploring the instant effect by induced electrical stimulations in the Parkinson brain activities and it can be utilized as a research tool in the future technologies.