Literature DB >> 23770804

Best current practice for obtaining high quality EEG data during simultaneous FMRI.

Karen J Mullinger1, Pierluigi Castellone, Richard Bowtell.   

Abstract

Simultaneous EEG-fMRI allows the excellent temporal resolution of EEG to be combined with the high spatial accuracy of fMRI. The data from these two modalities can be combined in a number of ways, but all rely on the acquisition of high quality EEG and fMRI data. EEG data acquired during simultaneous fMRI are affected by several artifacts, including the gradient artefact (due to the changing magnetic field gradients required for fMRI), the pulse artefact (linked to the cardiac cycle) and movement artifacts (resulting from movements in the strong magnetic field of the scanner, and muscle activity). Post-processing methods for successfully correcting the gradient and pulse artifacts require a number of criteria to be satisfied during data acquisition. Minimizing head motion during EEG-fMRI is also imperative for limiting the generation of artifacts. Interactions between the radio frequency (RF) pulses required for MRI and the EEG hardware may occur and can cause heating. This is only a significant risk if safety guidelines are not satisfied. Hardware design and set-up, as well as careful selection of which MR sequences are run with the EEG hardware present must therefore be considered. The above issues highlight the importance of the choice of the experimental protocol employed when performing a simultaneous EEG-fMRI experiment. Based on previous research we describe an optimal experimental set-up. This provides high quality EEG data during simultaneous fMRI when using commercial EEG and fMRI systems, with safety risks to the subject minimized. We demonstrate this set-up in an EEG-fMRI experiment using a simple visual stimulus. However, much more complex stimuli can be used. Here we show the EEG-fMRI set-up using a Brain Products GmbH (Gilching, Germany) MRplus, 32 channel EEG system in conjunction with a Philips Achieva (Best, Netherlands) 3T MR scanner, although many of the techniques are transferable to other systems.

Mesh:

Year:  2013        PMID: 23770804      PMCID: PMC3725697          DOI: 10.3791/50283

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  23 in total

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

Authors:  P J Allen; O Josephs; R Turner
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3.  Simultaneous EEG and fMRI of the alpha rhythm.

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5.  Removal of FMRI environment artifacts from EEG data using optimal basis sets.

Authors:  R K Niazy; C F Beckmann; G D Iannetti; J M Brady; S M Smith
Journal:  Neuroimage       Date:  2005-09-16       Impact factor: 6.556

6.  Assessing the spatiotemporal evolution of neuronal activation with single-trial event-related potentials and functional MRI.

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7.  Hemodynamic correlates of EEG: a heuristic.

Authors:  J M Kilner; J Mattout; R Henson; K J Friston
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8.  An independent component analysis-based approach on ballistocardiogram artifact removing.

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

Authors:  P J Allen; G Polizzi; K Krakow; D R Fish; L Lemieux
Journal:  Neuroimage       Date:  1998-10       Impact factor: 6.556

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Journal:  Neuroimaging Clin N Am       Date:  2004-08       Impact factor: 2.264

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  18 in total

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Review 3.  Use of EEG to diagnose ADHD.

Authors:  Agatha Lenartowicz; Sandra K Loo
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4.  Spatio-temporal patterns of cognitive control revealed with simultaneous electroencephalography and functional magnetic resonance imaging.

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5.  Adaptive and Wireless Recordings of Electrophysiological Signals During Concurrent Magnetic Resonance Imaging.

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6.  Pattern changes of EEG oscillations and BOLD signals associated with temporal lobe epilepsy as revealed by a working memory task.

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Journal:  BMC Neurosci       Date:  2014-04-25       Impact factor: 3.288

7.  Investigating the effect of modifying the EEG cap lead configuration on the gradient artifact in simultaneous EEG-fMRI.

Authors:  Karen J Mullinger; Muhammad E H Chowdhury; Richard Bowtell
Journal:  Front Neurosci       Date:  2014-07-29       Impact factor: 4.677

8.  Spatiotemporal neural characterization of prediction error valence and surprise during reward learning in humans.

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9.  Safety and data quality of EEG recorded simultaneously with multi-band fMRI.

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