A Method for Removal of Deep Brain Stimulation Artifact From Local Field Potentials

Area of Science:

• Neuroscience
• Biomedical Engineering
• Signal Processing

Background:

• Deep brain stimulation (DBS) is a therapeutic intervention often accompanied by electrophysiological recordings.
• Stimulation artifacts in local field potential (LFP) signals recorded during DBS can obscure neural activity.
• Accurate analysis of LFP signals is crucial for understanding DBS mechanisms and optimizing treatment.

Purpose of the Study:

• To develop and validate a novel signal processing method for removing stimulation artifacts from LFP signals during DBS.
• To apply the artifact suppression method to investigate the relationship between DBS parameters and beta band synchronization in Parkinson's disease (PD) patients.
• To provide technical support for research exploring the direct impact of electrical stimulation on brain activity.

Main Methods:

• A novel artifact suppression method was developed for LFP signals recorded during DBS.
• The method was evaluated using in vitro experiments to assess artifact removal efficacy.
• The validated method was applied in vivo to intraoperative LFP recordings from PD patients undergoing DBS.

Main Results:

• The proposed method demonstrated effective suppression of stimulation artifacts in both in vitro and in vivo settings.
• Analysis of PD patient data revealed that DBS significantly suppresses excessive beta frequency activity in the subthalamic nucleus (STN).
• The degree of beta activity attenuation correlated positively with increasing DBS voltage (1-3 V) and frequency (60-120 Hz).

Conclusions:

• The developed signal processing method is effective for artifact removal in DBS-recorded LFP signals.
• DBS therapy demonstrably reduces pathological beta band synchronization in the STN of PD patients.
• The findings support the use of advanced signal processing techniques for elucidating DBS mechanisms and guiding therapeutic strategies.