Literature DB >> 9758737

Identification of EEG events in the MR scanner: the problem of pulse artifact and a method for its subtraction.

P J Allen1, G Polizzi, K Krakow, D R Fish, L Lemieux.   

Abstract

Triggering functional MRI (fMRI) image acquisition immediately after an EEG event can provide information on the location of the event generator. However, EEG artifact associated with pulsatile blood flow in a subject inside the scanner may obscure EEG events. This pulse artifact (PA) has been widely recognized as a significant problem, although its characteristics are unpredictable. We have investigated the amplitude, distribution on the scalp, and frequency of occurrence of this artifact. This showed large interindividual variations in amplitude, although PA is normally largest in the frontal region. In five of six subjects, PA was greater than 50 microV in at least one of the temporal, parasagittal, and central channels analyzed. Therefore, we developed and validated a method for removing PA. This subtracts an averaged PA waveform calculated for each electrode during the previous 10 s. Particular attention has been given to reliable ECG peak detection and ensuring that the average PA waveform is free of other EEG artifacts. Comparison of frequency spectra for EEG recorded outside and inside the scanner, with and without PA subtraction, showed a clear reduction in artifact after PA subtraction for all four frequency ranges analyzed. As further validation, lateralized epileptiform spikes were added to recordings from inside and outside the scanner: PA subtraction significantly increased the proportion of these spikes that were correctly identified and decreased the number of false spike detections. We conclude that in some subjects, EEG/fMRI studies will be feasible only using PA subtraction. Copyright 1998 Academic Press.

Entities:  

Mesh:

Year:  1998        PMID: 9758737     DOI: 10.1006/nimg.1998.0361

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


  216 in total

Review 1.  Functional magnetic resonance imaging: imaging techniques and contrast mechanisms.

Authors:  A M Howseman; R W Bowtell
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-07-29       Impact factor: 6.237

2.  EEG recording during fMRI experiments: image quality.

Authors:  K Krakow; P J Allen; M R Symms; L Lemieux; O Josephs; D R Fish
Journal:  Hum Brain Mapp       Date:  2000-05       Impact factor: 5.038

3.  Effect of stage 1 sleep on auditory cortex during pure tone stimulation: evaluation by functional magnetic resonance imaging with simultaneous EEG monitoring.

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Journal:  Exp Brain Res       Date:  2003-06-27       Impact factor: 1.972

5.  Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest.

Authors:  H Laufs; K Krakow; P Sterzer; E Eger; A Beyerle; A Salek-Haddadi; A Kleinschmidt
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-04       Impact factor: 11.205

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7.  Influence of dense-array EEG cap on fMRI signal.

Authors:  Qingfei Luo; Gary H Glover
Journal:  Magn Reson Med       Date:  2011-12-09       Impact factor: 4.668

8.  Representation and propagation of epileptic activity in absences and generalized photoparoxysmal responses.

Authors:  Friederike Moeller; Muthuraman Muthuraman; Ulrich Stephani; Günther Deuschl; Jan Raethjen; Michael Siniatchkin
Journal:  Hum Brain Mapp       Date:  2012-03-19       Impact factor: 5.038

9.  Theta power during encoding predicts subsequent-memory performance and default mode network deactivation.

Authors:  Thomas P White; Marije Jansen; Kathrin Doege; Karen J Mullinger; S Bert Park; Elizabeth B Liddle; Penny A Gowland; Susan T Francis; Richard Bowtell; Peter F Liddle
Journal:  Hum Brain Mapp       Date:  2012-06-19       Impact factor: 5.038

10.  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

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