Artifact reduction for simultaneous EEG/fMRI recording: Adaptive FIR reduction of imaging artifacts

Xiaohong Wan, Kazuki Iwata, Jorge Riera, Masaharu Kitamura, Ryuta Kawashima

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

Objective: We present a new method of effectively removing imaging artifacts of electroencephalography (EEG) and extensively conserving the time-frequency features of EEG signals during simultaneous functional magnetic resonance imaging (fMRI) scanning under conventional conditions. Methods: Under the conventional conditions of a 5000 Hz EEG sampling rate, but in the absence of the MRI slice-timing signals, the imaging artifact during each slice scanning is theoretically inferred to be a linear combination of the average artifact waveform and its derivatives, deduced by band-limited Taylor's expansion. Technically, the imaging artifact reduction algorithm is equivalent to an adaptive finite impulse response (FIR) filter. Results: The capability of this novel method removing the imaging artifacts of EEG recording during fMRI scanning has been demonstrated by a phantom experiment. Moreover, the effectiveness of this method in conserving the time-frequency features of EEG activity has been evaluated by both visually evoked experiments and alpha waves. Conclusions: The adaptive FIR method is an effective method of removing the imaging artifacts under conventional conditions, and also conserving the time-frequency EEG signals. Significance: The proposed adaptive FIR method, removing the imaging artifacts, combined with the wavelet-based non-linear noise reduction (WNNR) method [Wan X, Iwata K, Riera J, Ozaki T, Kitamura M, Kawashima R. Artifact reduction for EEG/fMRI recording: Nonlinear reduction of ballistocardiogram artifacts. Clin Neurophysiol 2006;117:668-80], reducing the ballistocardiogram artifacts (BAs), makes it feasible to obtain accurate EEG signals from the simultaneous EEG recordings during fMRI scanning.

Original languageEnglish
Pages (from-to)681-692
Number of pages12
JournalClinical Neurophysiology
Volume117
Issue number3
DOIs
Publication statusPublished - 2006 Mar 1

Keywords

  • Adaptive FIR
  • Alpha waves
  • EEG
  • Imaging artifact
  • Simultaneous recording
  • VEP
  • fMRI

ASJC Scopus subject areas

  • Sensory Systems
  • Neurology
  • Clinical Neurology
  • Physiology (medical)

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