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Single-trial EEG–fMRI reveals the dynamics of cognitive function

Stefan Debener, Markus Ullsperger, Markus Siegel, Andreas K. Engel
2006 Trends in Cognitive Sciences  
We emphasize the potential of simultaneous EEG and fMRI recordings to pursue new strategies in cognitive neuroimaging.  ...  Recent hardware and software developments have made it feasible to acquire EEG and fMRI data simultaneously.  ...  EEG-informed fMRI analysis. EEG (blue arrows) and fMRI (pink arrow) can be recorded simultaneously (a) and, subsequently, EEG signals are corrected for fMRI artifacts.  ... 
doi:10.1016/j.tics.2006.09.010 pmid:17074530 fatcat:g4v2ebmo5nczvnclcta5tyjkbu

EEG-fMRI: Ballistocardiogram Artifact Reduction by Surrogate Method for Improved Source Localization

Mateusz Rusiniak, Harald Bornfleth, Jae-Hyun Cho, Tomasz Wolak, Nicole Ille, Patrick Berg, Michael Scherg
2022 Frontiers in Neuroscience  
For the analysis of simultaneous EEG-fMRI recordings, it is vital to use effective artifact removal tools.  ...  This applies in particular to the ballistocardiogram (BCG) artifact which is difficult to remove without distorting signals of interest related to brain activity.  ...  artifact correction in simultaneous EEG-fMRI data processing.  ... 
doi:10.3389/fnins.2022.842420 pmid:35360180 pmcid:PMC8960642 fatcat:fuma5vii7vgebixsdvcoy2jgle

Artifact Reduction in Simultaneous EEG-fMRI: A Systematic Review of Methods and Contemporary Usage

Madeleine Bullock, Graeme D. Jackson, David F. Abbott
2021 Frontiers in Neurology  
This paper presents a systematic review of methods for artifact reduction in simultaneous EEG-fMRI from literature published since 1998, and an additional systematic review of EEG-fMRI studies published  ...  The aim of the first review is to distill the literature into clear guidelines for use of simultaneous EEG-fMRI artifact reduction methods, and the aim of the second review is to determine the prevalence  ...  It was argued that CCA would be superior to ICA or PCA, as it is able to take into account temporal (periodicity) and spatial (topography) aspects of the BCG due to taking consecutive BCG instances into  ... 
doi:10.3389/fneur.2021.622719 pmid:33776886 pmcid:PMC7991907 fatcat:mwrddhfc2ndvjl6tho32fxxkf4

Clustering-Constrained ICA for Ballistocardiogram Artifacts Removal in Simultaneous EEG-fMRI

Kai Wang, Wenjie Li, Li Dong, Ling Zou, Changming Wang
2018 Frontiers in Neuroscience  
In conclusion, our novel method successfully and effectively removed BCG artifacts in both simulated and vivo EEG data tests, showing the potentials of removing artifacts in EEG-fMRI applications.  ...  However, EEG is easily influenced by ballistocardiogram (BCG) artifacts and may cause false identification of the related EEG features, such as epileptic spikes.  ...  It is worthwhile to note that during the removal of artifacts, the physiological signal preservation should be taken into account (Abreu et al., 2016) .  ... 
doi:10.3389/fnins.2018.00059 pmid:29487499 pmcid:PMC5816921 fatcat:qcv2dwu4obdwjmde2y7fzvipne

EEG-Informed fMRI: A Review of Data Analysis Methods

Rodolfo Abreu, Alberto Leal, Patrícia Figueiredo
2018 Frontiers in Human Neuroscience  
Fernando Lopes da Silva for his feedback and help in structuring this paper.  ...  By taking into account not only the extent of artifact removal, but also the associated degradation of the EEG signal of interest, both studies arrived at the conclusion that the performance of each method  ...  EEG-Specific Artifacts Although not caused by the MR environment, other sources of artifacts that contaminate the EEG must also be accounted for in simultaneous EEG-fMRI studies, namely: eye movements,  ... 
doi:10.3389/fnhum.2018.00029 pmid:29467634 pmcid:PMC5808233 fatcat:vocpso63pjeg3ktkqwrsvf6ixe

Fusing EEG and fMRI based on a bottom-up model: inferring activation and effective connectivity in neural masses

J. Riera, E. Aubert, K. Iwata, R. Kawashima, X. Wan, T. Ozaki
2005 Philosophical Transactions of the Royal Society of London. Biological Sciences  
A methodology for the estimation of parameters from fused EEG/fMRI data is also presented. In this context, the concepts of activation and effective connectivity are carefully revised.  ...  The most significant contributions in this field, known as cognitive neuroscience, have been achieved to date by using innovative neuroimaging techniques (such as EEG and fMRI), which measure variations  ...  The EEG after artifact correction is shown in the bottom panel. Figure 4 .α 4 The bottom-up biophysical model for the fusion of EEG and fMRI.  ... 
doi:10.1098/rstb.2005.1646 pmid:16087446 pmcid:PMC1854929 fatcat:qdktmgdx4rhl7hvmub57p6vwpm

Reference layer adaptive filtering (RLAF) for EEG artifact reduction in simultaneous EEG-fMRI

David Steyrl, Gunther Krausz, Karl Koschutnig, Günter Edlinger, Gernot R Müller-Putz
2017 Journal of Neural Engineering  
EEG-fMRI study R Marecek, M Lamos, M Mikl et al. Ballistocardiogram artifact removal from EEG signals using adaptive filtering of EOG signals Myung H In, Soo Y Lee, Tae S Park et al.  ...  reference layer and adaptive filtering Several evaluation criteria suggest superior effectivity in terms of artifact reduction We demonstrate that physiological EEG components are preserved Journal of  ...  Adaptive filters commonly take into account current and past samples of a signal.  ... 
doi:10.1088/1741-2552/14/2/026003 pmid:28155841 fatcat:tvr7tnog4vasxfj72ajto2yo6q

Investigating the variability of cardiac pulse artifacts across heartbeats in simultaneous EEG-fMRI recordings: A 7T study

João Jorge, Charlotte Bouloc, Lucie Bréchet, Christoph M. Michel, Rolf Gruetter
2019 NeuroImage  
Altogether, these results offer novel insights into the dynamics and underlying mechanisms of the pulse artifact, with important consequences for its correction, relevant to most EEG-fMRI applications.  ...  Simultaneous EEG-fMRI was performed at 7T on healthy participants at rest or under visual stimulation, with concurrent recordings of breathing and cardiac activity.  ...  Discussion This study investigated the variability of EEG pulse artifacts across heartbeats, in simultaneous EEG-fMRI.  ... 
doi:10.1016/j.neuroimage.2019.02.021 pmid:30742980 fatcat:saszhjp3njhqlbmjv72cnpaxqi

Development, validation, and comparison of ICA-based gradient artifact reduction algorithms for simultaneous EEG-spiral in/out and echo-planar fMRI recordings

S. Ryali, G.H. Glover, C. Chang, V. Menon
2009 NeuroImage  
Artifact reduction for simultaneous EEG/fMRI recording: adaptive FIR reduction of imaging artifacts. Clin. Neurophysiol. 117, 681-692.) and a conventional temporal ICA algorithm.  ...  EEG data acquired in an MRI scanner are heavily contaminated by gradient artifacts that can significantly compromise signal quality.  ...  To assess a method's ability in preserving the signal content, the spectral content of artifact-free segments before and after artifact correction was compared.  ... 
doi:10.1016/j.neuroimage.2009.06.072 pmid:19580873 pmcid:PMC2745974 fatcat:uznymwmji5axtcsaq5u5t6u3jq

EEG-fMRI Signal Coupling Is Modulated in Subjects With Mild Cognitive Impairment and Amyloid Deposition

Lars Michels, Florian Riese, Rafael Meyer, Andrea M Kälin, Sandra E Leh, Paul G Unschuld, Roger Luechinger, Christoph Hock, Ruth O'Gorman, Spyros Kollias, Anton Gietl
2021 Frontiers in Aging Neuroscience  
This finding was paralleled by stronger absolute fMRI signal in the parahippocampus and weaker absolute fMRI signal in the inferior frontal gyrus in amyloid-positive subjects.  ...  Thalamo-cortical alpha-fMRI signal coupling was only observed in HCS.  ...  We thank Mac Lanphier for his help (scripting) in the EEG-fMRI signal correlation analysis.  ... 
doi:10.3389/fnagi.2021.631172 pmid:33967737 pmcid:PMC8104007 fatcat:uxvoravzp5bppph2xwglcyaceu

Effects of fluctuating physiological rhythms during prolonged EEG-fMRI studies

Louise Tyvaert, Pierre LeVan, Christophe Grova, François Dubeau, Jean Gotman
2008 Clinical Neurophysiology  
Significance: Physiological EEG rhythms may be integrated to the analysis of EEG-fMRI in studies with fluctuation of alertness, to eliminate possible confounding factors.  ...  Rhythm regressors added as confounds in the fMRI analysis explained at least 5% of BOLD signal variance in 6.8 ± 8.9% of gray matter voxels, a contribution which is of the order of typical changes in fMRI  ...  The physiological rhythms were largely preserved after the entire preprocessing. Final EEG obtained after gradient artifact and BKG artifact removal.  ... 
doi:10.1016/j.clinph.2008.07.284 pmid:18977169 pmcid:PMC3792084 fatcat:vrtrfeioujaihc3mog7gk7rf3e

Independent component analysis as a model-free approach for the detection of BOLD changes related to epileptic spikes: A simulation study

Pierre LeVan, Jean Gotman
2009 Human Brain Mapping  
EEG-fMRI in epileptic patients is commonly analyzed using the general linear model (GLM), which assumes a known hemodynamic response function (HRF) to epileptic spikes in the EEG.  ...  These false activations were often related to large artifacts that coincidentally occurred simultaneously with some of the random simulated spikes.  ...  Nevertheless, it would be interesting to develop a method that would take into account possible nonlinear effects.  ... 
doi:10.1002/hbm.20647 pmid:18726909 pmcid:PMC3792083 fatcat:vmnoa436djgdjnzwdp32qnk5t4

Multimodal Functional Network Connectivity: An EEG-fMRI Fusion in Network Space

Xu Lei, Dirk Ostwald, Jiehui Hu, Chuan Qiu, Camillo Porcaro, Andrew P. Bagshaw, Dezhong Yao, Pedro Antonio Valdes-Sosa
2011 PLoS ONE  
In this paper, multimodal functional network connectivity (mFNC) is proposed for the fusion of EEG and fMRI in network space.  ...  Finally, fMRI FNs are matched to EEG FNs in the spatial domain using networkbased source imaging (NESOI).  ...  Ballistocardiogram artifact correction was performed using the Optimal Basis Set method [34] . The data were low-pass filtered at 25 Hz and downsampled to 50 Hz, then concatenated.  ... 
doi:10.1371/journal.pone.0024642 pmid:21961040 pmcid:PMC3178514 fatcat:4t3i6k6mvvdnlojyxdr5dukhka

The "why" and "how" of JointICA: Results from a visual detection task

Bogdan Mijović, Katrien Vanderperren, Nikolay Novitskiy, Bart Vanrumste, Peter Stiers, Bea Van den Bergh, Lieven Lagae, Stefan Sunaert, Johan Wagemans, Sabine Van Huffel, Maarten De Vos
2012 NeuroImage  
We show the performance of the algorithm on data obtained in a visual detection task, and compare the performance for EEG recorded simultaneously with fMRI data and for EEG recorded in a separate session  ...  One such multimodal approach is the combination of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI).  ...  The number of components Taking this precaution into account, we believe that the results reported here constitute a good argument for acquiring EEG and fMRI data in separate sessions, as it may yield  ... 
doi:10.1016/j.neuroimage.2012.01.063 pmid:22270355 fatcat:nqg3e7ct5ffnte6imcape3cqcq

Human VMPFC encodes early signatures of confidence in perceptual decisions

Sabina Gherman, Marios G Philiastides
2018 eLife  
Here, we recorded simultaneous EEG-fMRI while participants performed a direction discrimination task and rated their confidence on each trial.  ...  Importantly, trial-to-trial variability in this electrophysiologically-derived confidence signal was uniquely associated with fMRI responses in the ventromedial prefrontal cortex (VMPFC), a region not  ...  EEG signals recorded inside an MR scanner are contaminated with gradient artifacts and ballistocardiogram (BCG) artifacts due to magnetic induction on the EEG leads.  ... 
doi:10.7554/elife.38293 pmid:30247123 pmcid:PMC6199131 fatcat:do6we5fzzzclpogrlcmwkkb2pe
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