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A novel method for removal of deep brain stimulation artifact from electroencephalography.
J Neurosci Methods 2014; 237:33-40JN

Abstract

BACKGROUND

Deep brain stimulation (DBS) has treatment efficacy in neurological and psychiatric disorders such as Parkinson's disease and major depression. Electroencephalography (EEG) is a versatile neurophysiological tool that can be used to better understand DBS treatment mechanisms. DBS causes artifacts in EEG recordings that preclude meaningful neurophysiological activity from being quantified during stimulation.

NEW METHOD

In this study, we modeled the DBS stimulation artifact and illustrated a technique for removing the artifact using matched filters. The approach was validated using a synthetically generated DBS artifact superimposed on EEG data. Mean squared error (MSE) between the recovered signal and the artifact-free signal was used to quantify the effectiveness of the approach.

RESULTS

The DBS artifact was characterized by a series of narrow band components at the harmonic frequencies of DBS stimulation. The filtering approach successfully removed the DBS artifact with MSE value being less than 2% of base signal power for the typical stimulation and recording setups. General guidelines on how to setup DBS EEG studies and configure the subsequent artifact removal process are described.

COMPARISON WITH PREVIOUS METHOD

To avoid stimulus artifacts, a number of EEG studies with DBS subjects have resorted to turning the stimulator off during recording, while other studies have used low pass filters to remove artifacts and look at frequencies well below 50 Hz.

CONCLUSIONS

This study establishes a method through which DBS artifact in EEG recordings can be reliably eliminated, thereby preserving a meaningful neurophysiological signal through which to better understand DBS treatment mechanisms.

Authors+Show Affiliations

Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada.Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada.Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada.Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada.Department of Psychiatry, Toronto General Hospital, University of Toronto, Toronto, Ontario, Canada.Department of Neurosurgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada.Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada. Electronic address: Jeff.Daskalakis@camh.ca.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

25218560

Citation

Sun, Yinming, et al. "A Novel Method for Removal of Deep Brain Stimulation Artifact From Electroencephalography." Journal of Neuroscience Methods, vol. 237, 2014, pp. 33-40.
Sun Y, Farzan F, Garcia Dominguez L, et al. A novel method for removal of deep brain stimulation artifact from electroencephalography. J Neurosci Methods. 2014;237:33-40.
Sun, Y., Farzan, F., Garcia Dominguez, L., Barr, M. S., Giacobbe, P., Lozano, A. M., ... Daskalakis, Z. J. (2014). A novel method for removal of deep brain stimulation artifact from electroencephalography. Journal of Neuroscience Methods, 237, pp. 33-40. doi:10.1016/j.jneumeth.2014.09.002.
Sun Y, et al. A Novel Method for Removal of Deep Brain Stimulation Artifact From Electroencephalography. J Neurosci Methods. 2014 Nov 30;237:33-40. PubMed PMID: 25218560.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A novel method for removal of deep brain stimulation artifact from electroencephalography. AU - Sun,Yinming, AU - Farzan,Faranak, AU - Garcia Dominguez,Luis, AU - Barr,Mera S, AU - Giacobbe,Peter, AU - Lozano,Andres M, AU - Wong,Willy, AU - Daskalakis,Zafiris J, Y1 - 2014/09/08/ PY - 2014/06/11/received PY - 2014/08/29/revised PY - 2014/09/01/accepted PY - 2014/9/15/entrez PY - 2014/9/15/pubmed PY - 2015/6/9/medline KW - Artifact removal KW - Deep brain stimulation KW - Electroencephalography KW - Matched filter SP - 33 EP - 40 JF - Journal of neuroscience methods JO - J. Neurosci. Methods VL - 237 N2 - BACKGROUND: Deep brain stimulation (DBS) has treatment efficacy in neurological and psychiatric disorders such as Parkinson's disease and major depression. Electroencephalography (EEG) is a versatile neurophysiological tool that can be used to better understand DBS treatment mechanisms. DBS causes artifacts in EEG recordings that preclude meaningful neurophysiological activity from being quantified during stimulation. NEW METHOD: In this study, we modeled the DBS stimulation artifact and illustrated a technique for removing the artifact using matched filters. The approach was validated using a synthetically generated DBS artifact superimposed on EEG data. Mean squared error (MSE) between the recovered signal and the artifact-free signal was used to quantify the effectiveness of the approach. RESULTS: The DBS artifact was characterized by a series of narrow band components at the harmonic frequencies of DBS stimulation. The filtering approach successfully removed the DBS artifact with MSE value being less than 2% of base signal power for the typical stimulation and recording setups. General guidelines on how to setup DBS EEG studies and configure the subsequent artifact removal process are described. COMPARISON WITH PREVIOUS METHOD: To avoid stimulus artifacts, a number of EEG studies with DBS subjects have resorted to turning the stimulator off during recording, while other studies have used low pass filters to remove artifacts and look at frequencies well below 50 Hz. CONCLUSIONS: This study establishes a method through which DBS artifact in EEG recordings can be reliably eliminated, thereby preserving a meaningful neurophysiological signal through which to better understand DBS treatment mechanisms. SN - 1872-678X UR - https://www.unboundmedicine.com/medline/citation/25218560/A_novel_method_for_removal_of_deep_brain_stimulation_artifact_from_electroencephalography_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0165-0270(14)00319-7 DB - PRIME DP - Unbound Medicine ER -