Dual array EEG-fMRI: An approach for motion artifact suppression in EEG recorded simultaneously with fMRI

Ilana Klovatch-Podlipsky, Tomer Gazit*, Firas Fahoum, Boris Tsirelson, Svetlana Kipervasser, Uri Kremer, Bruria Ben-Zeev, Hadassah Goldberg-Stern, Orna Eisenstein, Yuval Harpaz, Ory Levy, Adi Kirschner, Miriam Y. Neufeld, Itzhak Fried, Talma Hendler, Mordekhay Medvedovsky

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Objective Although simultaneous recording of EEG and MRI has gained increasing popularity in recent years, the extent of its clinical use remains limited by various technical challenges. Motion interference is one of the major challenges in EEG-fMRI. Here we present an approach which reduces its impact with the aid of an MR compatible dual-array EEG (daEEG) in which the EEG itself is used both as a brain signal recorder and a motion sensor. Methods We implemented two arrays of EEG electrodes organized into two sets of nearly orthogonally intersecting wire bundles. The EEG was recorded using referential amplifiers inside a 3 T MR-scanner. Virtual bipolar measurements were taken both along bundles (creating a small wire loop and therefore minimizing artifact) and across bundles (creating a large wire loop and therefore maximizing artifact). Independent component analysis (ICA) was applied. The resulting ICA components were classified into brain signal and noise using three criteria: 1) degree of two-dimensional spatial correlation between ICA coefficients along bundles and across bundles; 2) amplitude along bundles vs. across bundles; 3) correlation with ECG. The components which passed the criteria set were transformed back to the channel space. Motion artifact suppression and the ability to detect interictal epileptic spikes following daEEG and Optimal Basis Set (OBS) procedures were compared in 10 patients with epilepsy. Results The SNR achieved by daEEG was 11.05 ± 3.10 and by OBS was 8.25 ± 1.01 (p < 0.00001). In 9 of 10 patients, more spikes were detected after daEEG than after OBS (p < 0.05). Significance daEEG improves signal quality in EEG-fMRI recordings, expanding its clinical and research potential.

Original languageEnglish
Pages (from-to)674-686
Number of pages13
JournalNeuroImage
Volume142
DOIs
StatePublished - 15 Nov 2016

Funding

FundersFunder number
Seventh Framework Programme604102
European CommissionFP7-ICT-2009-6-270460
Ministry of Science, Technology and Space3-11170
Seventh Framework Programme
Israeli Centers for Research Excellence51/11

    Keywords

    • Artifact
    • Ballistocardiogram
    • EEG
    • ICA
    • fMRI

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