[PDF] Top 20 MEG Source Imaging and Dynamic Characterization.
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MEG Source Imaging and Dynamic Characterization.
... It is possible to obtain sparser image estimates of the urrent distribution by using alternative (non-quadrati ) ost fun tions f (J) in (39). Norms and semi-norms on sour e amplitude priors with v alues p ≤ 2 in ... Voir le document complet
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pycotem : An open source toolbox for online crystal defect characterization from TEM imaging and diffraction
... vectors and slip planes, interface plane normals, and misorientation be- tween two crystals from a series of TEM micrographs and diffraction ...plots, and determination of geometrical features ... Voir le document complet
21
Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates
... Google and CREST ENSAE Abstract. Magnetoencephalography (MEG) and electroencephalogra- phy (EEG) are non-invasive modalities that measure the weak electro- magnetic fields generated by neural ... Voir le document complet
14
The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction
... France and the NeuroSpin, CEA Saclay, ...several source reconstruction techniques have been proposed, which are based on the assumption that only a few focal brain regions are involved in a specific ... Voir le document complet
12
Multi-subject MEG/EEG source imaging with sparse multi-task regression
... cortices and on middle temporal ...between MEG and fMRI. While it is often repeated that fMRI and M/EEG sources are different, and thus brain activation maps obtained by these different ... Voir le document complet
25
Detection, reconstruction, and characterization algorithms from noisy data in multistatic wave imaging
... localization, and characterization of a collection of targets embedded in a medium is an important problem in multistatic wave ...of source and receiver are collected and assembled in ... Voir le document complet
30
Scale-free Functional Connectivity Analysis from Source Reconstructed MEG Data
... cognition and behavior. To date, their characterization remain limited to uni- variate ...In MEG, specific indices (e.g., Imaginary coherence ICOH and weighted Phase Lag Index wPLI) were ... Voir le document complet
6
Scale-free functional connectivity analysis from source reconstructed MEG data
... cognition and behavior. To date, their characterization remain limited to uni- variate ...In MEG, specific indices (e.g., Imaginary coherence ICOH and weighted Phase Lag Index wPLI) were ... Voir le document complet
6
Improved MEG/EEG source localization with reweighted mixed-norms
... sparse MEG/EEG source imaging approach based on regularized regression with a ℓ ...scheme and an active set strategy. The resulting algorithm is applicable to MEG/EEG inverse problems ... Voir le document complet
5
Incorporating transmission delays supported by diffusion MRI in MEG source reconstruction
... Terms— MEG, source localization, inverse prob- lems, diffusion MRI ...brain imaging modalities such as dif- fusion magnetic resonance imaging (dMRI) with functional modalities such as ... Voir le document complet
6
White matter fiber bundles as a source model in the MEG inverse problem
... (MR) imaging , as a source model for the MEG forward problem ...model and reduce the computational complexity we regrouped similarly shaped streamlines into ...The MEG data associated ... Voir le document complet
2
Brain source imaging: from sparse to tensor models
... ], and D ∈ C M ×R = [d 1 , ...[17] and references therein) or Space-Time-Wave-Vector (STWV) data ...involved, and for STWV data, we resort to hypothesis ... Voir le document complet
28
Manifold-regression to predict from MEG/EEG brain signals without source modeling
... 3.2) and a biophysics-informed method based on the MNE source imaging technique ...solution and is therefore linear (See Appendix ...MRI and the precise measure of the head in the ... Voir le document complet
18
MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography
... tools and workflows including preprocessing (Maxwell filtering, ICA, signal space projectors), source estimation ...decoding, and several methods to estimate functional connectivity between ... Voir le document complet
11
A computational paradigm for real-time MEG neurofeedback for dynamic allocation of spatial attention
... distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and ... Voir le document complet
18
Dynamic causal modeling of evoked responses in EEG and MEG.
... conventional source localization (see Appendix A.3) and previous studies (Allison et ...bilateral and to hierarchically connect RS and PPA using forward and backward ...hemisphere ... Voir le document complet
35
Connectivity–informed spatio–temporal MEG source reconstruction: Simulation results using a MAR model
... References: [1] Baillet S., “Magnetoencephalography for brain electrophysiology and imaging”, Nature Neuroscience, 2017. [2] Pascual- Marqui, R. D. et al. “Low resolution electromagnetic tomography: a new ... Voir le document complet
2
MEG/EEG source imaging with a non-convex penalty in the time-frequency domain
... ISCUSSION AND C ONCLUSION In this work, we presented irTF-MxNE, an MEG/EEG inverse solver based on regularized regression with a composite non-convex ...problems and presented an algorithm based on ... Voir le document complet
5
Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization.
... input and event-related response-specific effects To model event-related responses, the network receives inputs via input ...connections and deliver inputs u to the spiny stellate cells in layer ... Voir le document complet
28
Bayesian BOLD and perfusion source separation and deconvolution from functional ASL imaging
... (CBF) and emerges as a more direct biomarker of neuronal activity than the standard BOLD (Blood Oxygen Level Dependent) ...2] and hence gives access to a dynamic measure of perfusion, namely the ... Voir le document complet
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