EEG/MEG source reconstruction
The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction
... 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 cognitive ...focal source configurations ...
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Spatial regularization based on dMRI to solve EEG/MEG inverse problem
... NTRODUCTION EEG and MEG are two imaging modalities that pro- vide information about brain activity with high temporal ...of MEG/EEG are current sources that are modeled using dipoles which are ...
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MEG/EEG source imaging with a non-convex penalty in the time-frequency domain
... model. Source estimation was performed with TF-MxNE and irTF-MxNE (with and without debiasing) on the time interval from 0 ms to 250 ms with fixed orientation ...reconstructed source estimates are however ...
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Connectivity–informed spatio–temporal MEG source reconstruction: Simulation results using a MAR model
... Athena project–team, Inria, Université Côte d'Azur, Sophia Antipolis, France Abstract Abstract: Recovering brain activity from M/EEG measurements is an ill–posed problem and prior constraints need to be introduced ...
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Simultaneous MEG and intracranial EEG recordings during attentive reading.
... intracranial EEG (iEEG) recordings in four epileptic ...level, MEG time-frequency analysis was performed at the source level using a sliding window beamformer technique (Dalal et ...in MEG ...
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2010 — Localisation des sources d'activité cérébrale à l'aide de la fusion multimodale EEG et MEG
... 3.10 Validation : La contrainte d’orientation Dans cette section, on évalue la possibilité d’améliorer la localisation de sources de l’activité cérébrale en relaxant l’hypothèse qui fixe l’orientation des sources ...
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Dynamic causal modeling of evoked responses in EEG and MEG.
... Dynamic causal modeling The central idea behind DCM is to treat the brain as a deterministic nonlinear dynamical system that is subject to inputs, and produces outputs. Effective connectivity is parameterized in terms of ...
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Incorporating transmission delays supported by diffusion MRI in MEG source reconstruction
... the reconstruction of brain activity from simulated MEG measurements are compared to MNE, LORETA and CGS methods and we show that our approach improves MEG source localization when compared to ...
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Large brain effective network from EEG/MEG data and dMR information
... teractions [4, 5, 6]. Some of the functional measures (e.g. Directed Transfer Function (DTF) and Partial Directed Coherence (PDC)) can be derived from multivariate autoregressive model (MAR) which is more than a ...
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Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG
... Most source reconstruction techniques belong to one of two approaches: point source models, which explain the data with a small number of equivalent current dipoles and distributed source or ...
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Diffusion Magnetic Resonance information as a regularization term for MEG/EEG inverse problem
... Contact: brahim.belaoucha@inria.fr, url: http://www-sop.inria.fr/athena Several regularization terms are used to constrain the Magnetoencephalography (MEG) and the Electroencephalography (EEG) inverse ...
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Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization.
... simultaneously, source activity, extrinsic connectivity, its modulation by context, and spatial lead-field parameters from the ...a source reconstruction algorithm with biologically grounded temporal ...
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Simultaneous MEG-intracranial EEG: New insights into the ability of MEG to capture oscillatory modulations in the neocortex and the hippocampus
... from MEG source reconstruction compared favorably to those derived from intracranial EEG ...the MEG reconstruction for a visual cortex source and the time-frequency map ...
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Connectivity-informed solution for spatio-temporal M/EEG source reconstruction
... 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 method for ...
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Improved MEG/EEG source localization with reweighted mixed-norms
... Keywords—MEG; EEG; bioelectromagnetic inverse problem; structured sparsity; iterative reweighted optimization algorithm ...NTRODUCTION MEG/EEG source imaging delivers insights into the ...
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2009 — Solution logicielle pour la localisation de l'activité cérébrale à partir de mesures MEG/EEG conjointes
... La MEG et l`’EEG ont de très bonnes résolutions spatiale et temporelle comparativement à ...fusionner EEG, MEG et imagerie optique, mais à l’heure actuelle la modélisation de l’imagerie ...
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Multi-subject MEG/EEG source imaging with sparse multi-task regression
... Magnetoencephalography and electroencephalography (M/EEG) are non-invasive modalities that measure the weak electromagnetic fields generated by neural activity. Estimating the location and magnitude of the current ...
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Localization of extended brain sources from EEG/MEG: The ExSo-MUSIC approach.
... background EEG activity can reasonably be considered as Gaussian (Elul, 1969; Knuutila and Hämäläinen, 1987; McEwen and Anderson, ...in source localization of EEG/MEG signals extending the ...
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Apprentissage implicite du contexte visuel et guidage de la perception : Expériences MEG et EEG intracrânien
... l’expérience MEG en deux parties distinctes appelées phase d’apprentissage et phase ...rience MEG n’est peut être que ...l’expérience MEG), les différences de temps de réaction apparaissent ...
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Comparison of beamformer implementations for MEG source localization
... of MEG data measured with 𝑀 sensors, and 𝑁 is the number of grid 259 points in the ROI with grid locations r j , (j = 1, … , ...the source 𝐲(𝑟 𝑗 ) at any location 𝑟 𝑗 can be 260 ...
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