Open AccessDBS Artifact Removal Through Template Subtraction
Author(s) -
Marco Emilio Vazquez,
Enrico Opri,
Brandon Parks,
Gunduz Aysegul
Publication year - 2020
Publication title -
journal of undergraduate research
Language(s) - English
Resource type - Journals
ISSN - 2638-0668
DOI - 10.32473/ufjur.v21i2.108861
Subject(s) - local field potential , subtraction , computer science , artifact (error) , context (archaeology) , artificial intelligence , signal (programming language) , electrophysiology , pattern recognition (psychology) , electroencephalography , neuroscience , psychology , mathematics , arithmetic , paleontology , biology , programming language
Deep Brain Stimulation (DBS) typically results in the formation of large signal artifacts in electrophysiological recordings in the surrounding regions of the stimulated area. This can prove to be problematic, as it makes the study of physiological responses in Local Field Potentials (LFPs), and consequently Event Related Potentials (ERPs) quite challenging. Research has been done in attempts to attenuate the effects of these large artifacts through various ways, most commonly through blind suppression, function fitting, template subtraction, and adaptive filters. However, many of these methods have proven to only be useful within the context of surface recordings (EEGs) and not for LFPs. In our research, we utilize template subtraction and extend it to the context of LFPs, in an attempt to uncover more effectively the underlying physiological responses to DBS.