Literature DB >> 10913328

A method for removing imaging artifact from continuous EEG recorded during functional MRI.

P J Allen1, O Josephs, R Turner.   

Abstract

Combined EEG/fMRI recording has been used to localize the generators of EEG events and to identify subject state in cognitive studies and is of increasing interest. However, the large EEG artifacts induced during fMRI have precluded simultaneous EEG and fMRI recording, restricting study design. Removing this artifact is difficult, as it normally exceeds EEG significantly and contains components in the EEG frequency range. We have developed a recording system and an artifact reduction method that reduce this artifact effectively. The recording system has large dynamic range to capture both low-amplitude EEG and large imaging artifact without distortion (resolution 2 microV, range 33.3 mV), 5-kHz sampling, and low-pass filtering prior to the main gain stage. Imaging artifact is reduced by subtracting an averaged artifact waveform, followed by adaptive noise cancellation to reduce any residual artifact. This method was validated in recordings from five subjects using periodic and continuous fMRI sequences. Spectral analysis revealed differences of only 10 to 18% between EEG recorded in the scanner without fMRI and the corrected EEG. Ninety-nine percent of spike waves (median 74 microV) added to the recordings were identified in the corrected EEG compared to 12% in the uncorrected EEG. The median noise after artifact reduction was 8 microV. All these measures indicate that most of the artifact was removed, with minimal EEG distortion. Using this recording system and artifact reduction method, we have demonstrated that simultaneous EEG/fMRI studies are for the first time possible, extending the scope of EEG/fMRI studies considerably. Copyright 2000 Academic Press.

Mesh:

Year:  2000        PMID: 10913328     DOI: 10.1006/nimg.2000.0599

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  348 in total

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7.  Independent component analysis (ICA) of generalized spike wave discharges in fMRI: comparison with general linear model-based EEG-fMRI.

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Journal:  Hum Brain Mapp       Date:  2011-02       Impact factor: 5.038

8.  Adaptive removal of gradients-induced artefacts on ECG in MRI: a performance analysis of RLS filtering.

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9.  EEG microstate sequences in healthy humans at rest reveal scale-free dynamics.

Authors:  Dimitri Van de Ville; Juliane Britz; Christoph M Michel
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-04       Impact factor: 11.205

10.  Detection of epileptic activity in fMRI without recording the EEG.

Authors:  R Lopes; J M Lina; F Fahoum; J Gotman
Journal:  Neuroimage       Date:  2012-01-28       Impact factor: 6.556

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