journal article·2018-10-18Open access

Effects of the Phantom Shape on the Gradient Artefact of Electroencephalography (EEG) Data in Simultaneous EEG–fMRI

Muhammad E. H. Chowdhury, Amith Khandakar, Belayat Hossain, Khawla Alzoubi

Applied Sciences· Volume 8· Issue 10

Abstract

Electroencephalography (EEG) signals greatly suffer from gradient artefacts (GAs) due to the time-varying field gradients in the magnetic resonance (MR) scanner during the simultaneous acquisition of EEG and functional magnetic resonance imaging (fMRI) data. The GAs are the principal contributors of artefacts while recording EEG inside an MR scanner, and most of them come from the interaction of the EEG cap and the subject’s head. Many researchers have been using a spherical phantom to characterize the GA in EEG data in combined EEG–fMRI studies. In this study, we investigated how the phantom shape could affect the characterization of the GA. EEG data were recorded with a spherical phantom, a head-shaped phantom, and six human subjects, individually, during the execution of customized and standard echo-planar imaging (EPI) sequences. The spatial potential maps of the root-mean-square (RMS) voltage of the GA over EEG channels for the trials with a head-shaped phantom closely mimicked those related to the human head rather than those obtained for the spherical phantom. This was confirmed by measuring the average similarity index (0.85/0.68). Moreover, a paired t-test showed that the head-shaped phantom’s and the spherical phantom’s data were significantly different (p < 0.005) from the subjects’ data, whereas the difference between the head-shaped phantom’s and the spherical phantom’s data was not significant (p = 0.07). The results of this study strongly suggest that a head-shaped phantom should be used for GA characterization studies in concurrent EEG–fMRI.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Functional Brain Connectivity Studies · Advanced MRI Techniques and Applications · EEG and Brain-Computer Interfaces

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical Engineering, College of Engineering, Qatar University, Doha 2713, Qatar

Department of EECS, Graduate School of Engineering, University of Hyogo, Kobe 650-0047, Japan

Funding

Engineering and Physical Sciences Research Council (EPSRC)

References (24)

Show source-provided references
1. A personalized history of EEG–fMRI integration10.1016/j.neuroimage.2012.01.039 ↗
2. Post-stimulus fMRI and EEG responses: Evidence for a neuronal origin hypothesised to be inhibitory10.1016/j.neuroimage.2017.06.020 ↗
3. Theta and high-beta networks for feedback processing: A simultaneous EEG–fMRI study in healthy male subjects10.1038/tp.2016.287 ↗
4. Early Changes in Alpha Band Power and DMN BOLD Activity in Alzheimer’s Disease: A Simultaneous Resting State EEG-fMRI Study10.3389/fnagi.2017.00319 ↗
5. Spatiotemporal neural characterization of prediction error valence and surprise during reward learning in humans10.1038/s41598-017-04507-w ↗
6. A method for removing imaging artifact from continuous EEG recorded during functional MRI10.1006/nimg.2000.0599 ↗
7. Improved artifact correction for combined electroencephalography/functional MRI by means of synchronization and use of vectorcardiogram recordings10.1002/jmri.21277 ↗
8. Reducing the gradient artefact in simultaneous EEG-fMRI by adjusting the subject’s axial position10.1016/j.neuroimage.2010.09.079 ↗
9. Understanding gradient artefacts in simultaneous EEG/fMRI10.1016/j.neuroimage.2009.01.029 ↗
10. Properties of the ballistocardiogram artefact as revealed by EEG recordings at 1.5, 3 and 7 T static magnetic field strength10.1016/j.ijpsycho.2007.05.015 ↗
11. Identification of EEG events in the MR scanner: The problem of pulse artifact and a method for its subtraction10.1006/nimg.1998.0361 ↗
12. Identifying the sources of the pulse artefact in EEG recordings made inside an MR scanner10.1016/j.neuroimage.2012.12.070 ↗
13. EEG-fMRI gradient artifact correction by multiple motion-related templates10.1109/TBME.2016.2593726 ↗
14. Motion-related artefacts in EEG predict neuronally plausible patterns of activation in fMRI data10.1016/j.neuroimage.2011.06.094 ↗
15. Simultaneous EEG–fMRI: Evaluating the effect of the cabling configuration on the gradient artefact10.1088/0031-9155/60/12/N241 ↗
16. Reference layer adaptive filtering (RLAF) for EEG artifact reduction in simultaneous EEG-fMRI10.1088/1741-2552/14/2/026003 ↗
17. Electroencephalography during functional echo-planar imaging: Detection of epileptic spikes using post-processing methods10.1002/1522-2594(200011)44:5<791::AID-MRM17>3.0.CO;2-2 ↗
18. Recording EEG signals inside the MRI
19. Investigating the effect of modifying the EEG cap lead configuration on the gradient artifact in simultaneous EEG-fMRI10.3389/fnins.2014.00226 ↗
20. Influence of EEG electrodes on the BOLD fMRI signal10.1002/hbm.1045 ↗
21. Synchronization facilitates removal of MRI artefacts from concurrent EEG recordings and increases usable bandwidth10.1016/j.neuroimage.2006.04.231 ↗
22. Image Qualifty Assessment: From Error Visibility to Structural Similarity10.1109/TIP.2003.819861 ↗
23. Ashburner, J., Barnes, G., Chen, C., Daunizeau, J., Flandin, G., Friston, K., Gitelman, D., Kiebel, S., Kilner, J., and Litvak, V. (2018, September 10). SPM8, 2012. Available online: https://www.fil.ion.ucl.ac.uk/spm.
24. Chowdhury, M.E., Mullinger, K.J., and Bowtell, R. (2005, January 7–13). Simultaneous EEG-fMRI: Evaluating the effect of the EEG cap cabling configuration on the gradient artefact. Presented at the International Society for Magnetic Resonance in Medicine (ISMRM), Miami Beach, FL, USA.10.3389/fnins.2019.00690 ↗