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Pulse Artifact Detection in Simultaneous EEG–fMRI Recording Based on EEG Map Topography

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Abstract

One of the major artifact corrupting electroencephalogram (EEG) acquired during functional magnetic resonance imaging (fMRI) is the pulse artifact (PA). It is mainly due to the motion of the head and attached electrodes and wires in the magnetic field occurring after each heartbeat. In this study we propose a novel method to improve PA detection by considering the strong gradient and inversed polarity between left and right EEG electrodes. We acquired high-density EEG–fMRI (256 electrodes) with simultaneous electrocardiogram (ECG) at 3 T. PA was estimated as the voltage difference between right and left signals from the electrodes showing the strongest artifact (facial and temporal). Peaks were detected on this estimated signal and compared to the peaks in the ECG recording. We analyzed data from eleven healthy subjects, two epileptic patients and four healthy subjects with an insulating layer between electrodes and scalp. The accuracy of the two methods was assessed with three criteria: (i) standard deviation, (ii) kurtosis and (iii) confinement into the physiological range of the inter-peak intervals. We also checked whether the new method has an influence on the identification of epileptic spikes. Results show that estimated PA improved artifact detection in 15/17 cases, when compared to the ECG method. Moreover, epileptic spike identification was not altered by the correction. The proposed method improves the detection of pulse-related artifacts, particularly crucial when the ECG is of poor quality or cannot be recorded. It will contribute to enhance the quality of the EEG increasing the reliability of EEG-informed fMRI analysis.

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Acknowledgments

This work was supported by Swiss National Science Foundation Grants 320030-141165 and 33CM30-140332 (SPUM Epilepsy) and by the Center for Biomedical Imaging (CIBM) of the Universities and Hospitals of Geneva and Lausanne, and the EPFL.

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Authors and Affiliations

  1. Functional Brain Mapping Laboratory, Department of Fundamental Neurosciences, Geneva University Hospital, 1211, Geneva 14, Switzerland

    Giannina R. Iannotti, Francesca Pittau, Christoph M. Michel & Serge Vulliemoz

  2. EEG and Epilepsy Unit, Department of Neurology, Geneva University Hospital, 1211, Geneva 14, Switzerland

    Francesca Pittau & Serge Vulliemoz

  3. Department of Radiology and Medical Informatics, Geneva University Hospital, Rue Gabrielle-Perret-Gentil 4, 1211, Geneva 14, Switzerland

    Frédéric Grouiller

Authors
  1. Giannina R. Iannotti
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  2. Francesca Pittau
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  4. Serge Vulliemoz
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  5. Frédéric Grouiller
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Correspondence to Frédéric Grouiller.

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Iannotti, G.R., Pittau, F., Michel, C.M. et al. Pulse Artifact Detection in Simultaneous EEG–fMRI Recording Based on EEG Map Topography. Brain Topogr 28, 21–32 (2015). https://doi.org/10.1007/s10548-014-0409-z

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  • DOI: https://doi.org/10.1007/s10548-014-0409-z

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