Removing deep brain stimulation artifacts from the electroencephalogram: Issues, recommendations and an open-source toolbox

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
Guillaume LioPhilippe Boulinguez

Abstract

A major question for deep brain stimulation (DBS) research is understanding how DBS of one target area modulates activity in different parts of the brain. EEG gives privileged access to brain dynamics, but its use with implanted patients is limited since DBS adds significant high-amplitude electrical artifacts that can completely obscure neural activity measured using EEG. Here, we systematically review and discuss the methods available for removing DBS artifacts. These include simple techniques such as oversampling, antialiasing analog filtering and digital low-pass filtering, which are necessary but typically not sufficient to fully remove DBS artifacts when each is used in isolation. We also cover more advanced methods, including techniques tracking outliers in the frequency-domain, which can be effective, but are rarely used. The reason for that is twofold: First, it requires advanced skills in signal processing since no user friendly tool for removing DBS artifacts is currently available. Second, it involves fine-tuning to avoid over-aggressive filtering. We highlight an open-source toolbox incorporating most artifact removal methods, allowing users to combine different strategies.

Citations

Feb 28, 2020·Journal of Neural Engineering·D J CaldwellB W Brunton
Sep 25, 2020·Neuromodulation : Journal of the International Neuromodulation Society·Lars BuentjenMatthias Deliano
Jun 17, 2020·NeuroImage·Ahmet Levent KandemirEsther Florin
Mar 2, 2021·Hearing Research·Robin GransierJan Wouters
Dec 4, 2021·Clinical EEG and Neuroscience·Maria BaldwinJames F Castellano
Nov 25, 2021·Journal of Neural Engineering·Yingnan NieShouyan Wang

❮ Previous
Next ❯

Related Concepts

Related Feeds

Brain-Computer Interface

A brain-computer interface, also known as a brain-machine interface, is a bi-directional communication pathway between an external device and a wired brain. Here is the latest research on this topic.

ALS: Transposon de-silencing

Transposon silencing is a form of transcriptional gene silencing. These gene silencing mechanisms are impaired in Amyotrophic lateral sclerosis (ALS). Here are the latest discoveries pertaining to transposon silencing and this disease.

Related Papers

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
David P AllenColum D Mackinnon
IEEE Transactions on Bio-medical Engineering
T L JohnsonA Segall
IEEE Transactions on Bio-medical Engineering
S Usui, I Amidror
© 2022 Meta ULC. All rights reserved