[PDF] Top 20 Improved MEG/EEG source localization with reweighted mixed-norms

... size MEG/EEG source reconstruc- tion ...iterative reweighted GLASSO algorithms is an open research question [4], which is beyond the scope of this ...irMxNE source estimate is at least ... Voir le document complet

... (EEG) source localization is a challenging ill- posed ...the source reconstruction in both standard and time-frequency domains. Source localization in the time-frequency domain ... Voir le document complet

... iterative reweighted optimization algorithm; multi-scale dictionary; Gabor ...imaging with high tem- poral and good spatial ...the source localization problem from M/EEG data have been ... Voir le document complet

... associated with this model depends on mixed discrete and continuous random ...to EEG source localization. Experiments conducted with synthetic data illustrate the effectiveness ... Voir le document complet

... NTRODUCTION EEG source localization is an ill-posed inverse problem [1] that continues to attract a significant amount of interest in the signal and image processing ...ℓ1 norms, considers ... Voir le document complet

... the source distributions are ...in source localization techniques relying on noise normalization such as dSPM [11] and sLORETA [11, 52] to correct for the depth bias [2] or block-sparse norms ... Voir le document complet

... associated with this model depends on mixed discrete and continuous random ...to EEG source localization. Experiments conducted with synthetic data illustrate the effectiveness ... Voir le document complet

... is with the LTCI, CNRS, T´el´ecom ParisTech, Universit´e Paris- Saclay, Paris, France and the NeuroSpin, CEA Saclay, ...several source reconstruction techniques have been proposed, which are based on the ... Voir le document complet

... The need for better automated methods for data preprocessing is clearly shared by various research teams, as the literature of the last few years can confirm. On the one hand, are pipeline-based approaches, such as Fully ... Voir le document complet

... packages with similar features to Brain- storm (general purpose software for MEG/EEG) are EEGLab, FieldTrip, and ...environment, with noncompiled scripts, and are supported by large ... Voir le document complet

... intracranial EEG (iEEG) recordings in four epileptic ...presented with an intermixed series of red words and green words, with words of a given color forming a cohesive ...level, MEG ... Voir le document complet

... where B is the M ×time ve tor representing MEG measurements, J is the N ×time ve tor representing the distribution urrents. F or imaging methods, it is the am- plitude of elementary urrents at ea h orti al vertex. ... Voir le document complet

... Three methods of reconstruction - Disciplined Convex Programming, Orthogonal Matching Pursuit, and Compressive Sensing- will be explored, and their robustness to noise, a[r] ... Voir le document complet

... grid with spacing h, and applying Witwer’s FDM to equation (1), we can express the total current flow value at a given voxel as a linear combination of the potentials measured in a close neighbourhood of this ... Voir le document complet

... the MEG scanner to MEG head coordinate ...a MEG- compatible system for real-time 3-D position tracking of the face (possibly based on laser scanning ...the MEG scanner to MRI coordinate frame ... Voir le document complet

... Hierarchical MEG/EEG neural mass model We have developed a hierarchical cortical model to study the influence of forward, backward and lateral connections on ERFs/ERPs (David et ... Voir le document complet

... deal with those aforementioned drawbacks while providing exact ...each source is parameterized by only a very limited number of param- eters, in contrast to the LGM ...resulting localization method ... Voir le document complet

... Here we propose an alternative view that evoked and induced responses are, perhaps, more related than previously thought and that a mixture of mechanisms can generate both. Critically, we make a distinction between the ... Voir le document complet

... e kl = kX G l − e X val k k Fro (3) where k · k Fro is the Frobenius norm. The RMSE is computed between the mean of the good trials in the training set G l with the median of the trials in the validation set. A ... Voir le document complet

... d’une source est sous le seuil de discrimination, elle est considérée comme éteinte et elle est considérée comme allumée ...Chaque source de la solution calculée est comparée à la même source de la ... Voir le document complet