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[PDF] Top 20 Source localisation in EEG: Combining anatomical and functional constraints

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Source localisation in EEG: Combining anatomical and functional constraints

Source localisation in EEG: Combining anatomical and functional constraints

... IKJMLONQPSRQPSR TVUR UXWYJMLZP\[U]^UR _a`cbQR [dWP\JMR U]e[JMR f1WYgUPSRMWYf.[r] ... Voir le document complet

122

Exploring the Correlation Between M/EEG Source-Space and fMRI Networks at Rest

Exploring the Correlation Between M/EEG Source-Space and fMRI Networks at Rest

... fMRI and M/EEG connectivity decreases with anatomical ...on EEG source-space signals and showed that that coupling between homologous sensory areas was significantly higher than ... Voir le document complet

23

Decreased integration of EEG source-space networks in disorders of consciousness

Decreased integration of EEG source-space networks in disorders of consciousness

... the source level. The EEG source connectivity method aims to bridge functional network at the level of cortical sources and the recorded scalp EEG signals, which involves solving ... Voir le document complet

9

Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints

Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints

... Abstract. In this paper a multi-modal approach is presented and vali- dated on real data to estimate the brain neuronal sources based on EEG and ...fMRI. Combining these two modalities ... Voir le document complet

9

M/EEG source localization with multi-scale time-frequency dictionaries

M/EEG source localization with multi-scale time-frequency dictionaries

... of functional brain imaging with high tem- poral and good spatial ...the source localization problem from M/EEG data have been proposed in the ...brain, and estimates their ... Voir le document complet

5

Decreased integration of EEG source-space networks in disorders of consciousness

Decreased integration of EEG source-space networks in disorders of consciousness

... the source level. The EEG source connectivity method aims to bridge functional network at the level of cortical sources and the recorded scalp EEG signals, which involves solving ... Voir le document complet

10

Sparse EEG Source Localization Using Bernoulli Laplacian Priors

Sparse EEG Source Localization Using Bernoulli Laplacian Priors

... [12] and sLoreta ...error in noiseless conditions ...area in the cortex when the actual source activity is focal ...realistic source activity is likely to be associated with few active ... Voir le document complet

13

Sparse EEG Source Localization Using Bernoulli Laplacian Priors

Sparse EEG Source Localization Using Bernoulli Laplacian Priors

... localization in electroencephalography has re- ceived an increasing amount of interest in the last ...sidered and provides solutions with low computational complexity. However, in several ... Voir le document complet

12

Simultaneous positron emission tomography and ultrafast ultrasound for hybrid molecular, anatomical and functional imaging

Simultaneous positron emission tomography and ultrafast ultrasound for hybrid molecular, anatomical and functional imaging

... co-registered and simul- taneous PET-CT–UUI imaging in ...PET and UUI images were automatically fused without human input and with a precision in co-registration much better than the ... Voir le document complet

13

2010 — Localisation des sources d'activité cérébrale à l'aide de la fusion multimodale EEG et MEG

2010 — Localisation des sources d'activité cérébrale à l'aide de la fusion multimodale EEG et MEG

... la localisation de sources de l’activité cérébrale en relaxant l’hypothèse qui fixe l’orientation des sources perpendiculairement à la surface ...de localisation de source seront comparées à l’aide ... Voir le document complet

118

Using anatomical knowledge expressed as fuzzy constraints to segment the heart in CT images

Using anatomical knowledge expressed as fuzzy constraints to segment the heart in CT images

... relations and their incorporation into the deformable model evolution significantly improve the segmentation of the heart compared with the classical approaches that are guided by a pressure force and GVF, ... Voir le document complet

31

Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models

Embedding Anatomical or Functional Knowledge in Whole-Brain Multiple Kernel Learning Models

... are in- formative for the prediction? (2) Why are these regions infor- mative? Considering the first question, although linear models generate weights for each voxel, the model predictions are based on the whole ... Voir le document complet

27

Muscle artifact removal in ictal scalp-EEG based on blind source separation

Muscle artifact removal in ictal scalp-EEG based on blind source separation

... scalp EEG is crucial in the presurgical evaluation of patients who are can- didates for selective ...amplitude and therefore difficult to detect on scalp EEG even more so when signals are ... Voir le document complet

5

A priori par normes mixtes pour les problèmes inverses: Application à la localisation de sources en M/EEG

A priori par normes mixtes pour les problèmes inverses: Application à la localisation de sources en M/EEG

... la localisation de sources en M/EEG, mais il existe de nombreux autres pro- blèmes pour lesquels l’emploi de telles normes est justifié, notamment en séparation de ... Voir le document complet

33

Improved MEG/EEG source localization with reweighted mixed-norms

Improved MEG/EEG source localization with reweighted mixed-norms

... Keywords—MEG; EEG; bioelectromagnetic inverse problem; structured sparsity; iterative reweighted optimization algorithm ...MEG/EEG source imaging delivers insights into the active brain with high ... Voir le document complet

5

Bayesian EEG source localization using a structured sparsity prior

Bayesian EEG source localization using a structured sparsity prior

... 5 and 20 ...activity) and sampled at 200 ...0.8 and C¼8 MCMC chains were run in ...Gelman and Rubin, 1992 ) was used to assess the convergence of the proposed ...computed and we ... Voir le document complet

12

EEG extended source localization: Tensor-based vs. conventional methods

EEG extended source localization: Tensor-based vs. conventional methods

... each source are distinct, such that the FPFs add ...Real EEG data were acquired with a 62-channel measurement system using the com- mon average reference with a sampling rate of 1000 ...ascending and ... Voir le document complet

41

Connectivity-informed solution for spatio-temporal M/EEG source reconstruction

Connectivity-informed solution for spatio-temporal M/EEG source reconstruction

... problem and prior constraints need to be introduced in order to obtain unique solution ...spatial and/or temporal constraints, without taking account of long–range ...connectivity. ... Voir le document complet

2

Combining electroencephalography and functional magnetic resonance imaging for neurofeedback

Combining electroencephalography and functional magnetic resonance imaging for neurofeedback

... B and C) and paired t-tests between each pair of ...blocks in order to account for the hemodynamic ...analysis in order to assess the participant- and condition-specific level of acti- ... Voir le document complet

145

View of Physiological and functional anatomical principles of humidified high flow therapy (HHFT)

View of Physiological and functional anatomical principles of humidified high flow therapy (HHFT)

... que celle liée au réchauffement des gaz (répartition du coût calorique de la ventilation : 80 % pour l ’évaporation vs 20 % pour le réchauffement des gaz). Ainsi, comme le condition- nement du gaz est pris en charge par ... Voir le document complet

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