Cleaning MEG artifacts using external cues

I. Tal, M. Abeles

Research output: Contribution to journalArticlepeer-review

63 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 languageEnglish
Pages (from-to)31-38
Number of pages8
JournalJournal of Neuroscience Methods
Volume217
Issue number1-2
DOIs
StatePublished - 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 .

FundersFunder number
Israel Science Foundation51/11
Planning and Budgeting Committee of the Council for Higher Education of Israel

    Keywords

    • Artifacts
    • Heartbeat
    • Line frequency
    • Magnetoencephalogram (MEG)
    • Vibrations

    Fingerprint

    Dive into the research topics of 'Cleaning MEG artifacts using external cues'. Together they form a unique fingerprint.

    Cite this