Cleaning MEG artifacts using external cues

I. Tal; M. Abeles

doi:10.1016/j.jneumeth.2013.04.002

Cleaning MEG artifacts using external cues

I. Tal, M. Abeles

Hebrew University of Jerusalem

Research output: Contribution to journal › Article › peer-review

64 Scopus citations

Abstract

Using EEG, ECoG, MEG, and microelectrodes to record brain activity is prone to multiple artifacts. The main power line (mains line), video equipment, mechanical vibrations and activities outside the brain are the most common sources of artifacts. MEG amplitudes are low, and even small artifacts distort recordings. In this study, we show how these artifacts can be efficiently removed by recording external cues during MEG recordings. These external cues are subsequently used to register the precise times or spectra of the artifacts. The results indicate that these procedures preserve both the spectra and the time domain wave-shapes of the neuromagnetic signal, while successfully reducing the contribution of the artifacts to the target signals without reducing the rank of the data.

Original language	English
Pages (from-to)	31-38
Number of pages	8
Journal	Journal of Neuroscience Methods
Volume	217
Issue number	1-2
DOIs	https://doi.org/10.1016/j.jneumeth.2013.04.002
State	Published - 15 Jul 2013

Bibliographical note

Funding Information:
The authors would like to thank Dr. Y. Harpaz and Ms. H. Arnon for assistance with the experiments, and Bar-Ilan University for supporting I. Tal and funding the MEG costs. This research was supported in part through the I-CORE Program of the Planning and Budgeting Committee and The Israel Science Foundation (grant No. 51/11 ). Samples of the software implemented in this study can be downloaded from: https://github.com/yuval-harpaz/cleanMEG_BIU .

Funding

The authors would like to thank Dr. Y. Harpaz and Ms. H. Arnon for assistance with the experiments, and Bar-Ilan University for supporting I. Tal and funding the MEG costs. This research was supported in part through the I-CORE Program of the Planning and Budgeting Committee and The Israel Science Foundation (grant No. 51/11 ). Samples of the software implemented in this study can be downloaded from: https://github.com/yuval-harpaz/cleanMEG_BIU .

Funders	Funder number
Israel Science Foundation	51/11
Planning and Budgeting Committee of the Council for Higher Education of Israel

Keywords

Artifacts
Heartbeat
Line frequency
Magnetoencephalogram (MEG)
Vibrations

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10.1016/j.jneumeth.2013.04.002

Cite this

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title = "Cleaning MEG artifacts using external cues",

abstract = "Using EEG, ECoG, MEG, and microelectrodes to record brain activity is prone to multiple artifacts. The main power line (mains line), video equipment, mechanical vibrations and activities outside the brain are the most common sources of artifacts. MEG amplitudes are low, and even small artifacts distort recordings. In this study, we show how these artifacts can be efficiently removed by recording external cues during MEG recordings. These external cues are subsequently used to register the precise times or spectra of the artifacts. The results indicate that these procedures preserve both the spectra and the time domain wave-shapes of the neuromagnetic signal, while successfully reducing the contribution of the artifacts to the target signals without reducing the rank of the data.",

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Cleaning MEG artifacts using external cues

Abstract

Bibliographical note

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Keywords

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