Comparison of two artifact correction methods for simultaneously recorded electroencephalography-functional magnetic resonance data in a 3 tesla mr system
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1
San Raffaele University, Italy
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2
Bogazici University, Türkiye
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3
Istanbul University, Türkiye
EEG data collected during fMRI suffers basically from gradient artifacts (GA) and ballistocardiogram artifacts (BCG). These artifacts necessitate sophisticated correction methods particularly in high-field MRI. Average artifact subtraction (AAS), optimum basis set (OBS) and independent component analysis (ICA) are most commonly used methods. Here we compare AAS + ICA (AASICA) with OBS + ICA (OBSICA) on EEG/fMRI responses recorded during a face processing task in a 3T MR. For both methods, firstly GA cleaning by Allen’s algorithm and a 0.5-40 Hz band-pass filter was carried out. Then, the first stage of both methods aimed to correct BCG through AAS or OBS, while the ICA in the second stage aimed to correct the residual GA, BCG and ocular artifacts (OA). As control we applied ICA to only GA corrected data for correcting OA only. The quality of the artifact correction was assessed by (1) single-trial ERP variance and (2) the relative EEG power at ECG spectral peaks. For the 1st comparison event-locked epochs were baseline corrected, standard deviation over the trials was computed and averaged over time points of the post-stimulus period and channels. For the 2nd comparison the base frequency and first 4 harmonics of the BCG was detected by spectral analysis of the ECG channel. Sum of the EEG spectral peaks at these 5 frequencies was divided by the total EEG power between 0.5-12 Hz. Single-trial ERP variance showed significant difference between the control condition and the other two methods (p < .001) without a significant difference between AASICA and OBSICA, while the relative EEG power at ECG spectral peaks was significantly smaller in AASICA technique compared with OBSICA (p < .001). At least one of the comparisons suggests that AASICA performs better than the OBSICA.
Keywords:
Artifact correction,
multimodal integration
Conference:
XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011.
Presentation Type:
Poster Presentation
Topic:
Poster Sessions: Multimodal Integration of EEG, MEG and fMRI data
Citation:
Kara
S,
Erdogan
B,
Cursi
M,
Demiralp
T,
Leocani
L and
Comi
G
(2011). Comparison of two artifact correction methods for simultaneously recorded electroencephalography-functional magnetic resonance data in a 3 tesla mr system.
Conference Abstract:
XI International Conference on Cognitive Neuroscience (ICON XI).
doi: 10.3389/conf.fnhum.2011.207.00098
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Received:
16 Nov 2011;
Published Online:
25 Nov 2011.
*
Correspondence:
Dr. Sinem Kara, San Raffaele University, Milano, Italy, fsinemkara@yahoo.com