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

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Original Article

Author Details : V Rama Raju*

Volume : 8, Issue : 2, Year : 2022

Article Page : 130-137

https://doi.org/10.18231/j.ijn.2022.027

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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.
 

Keywords: Deep brain stimulation (DBS), Local field potential (LFP), Microelectrode recording (MER), Noise removal, Parkinson's disease (PD), Subthalamic nucleus (STN)

How to cite : Raju V R, Noise removal of deep brain stimulation artifacts in subthalamic nucleus neurons local field induced electrical potentials. IP Indian J Neurosci 2022;8(2):130-137

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