Comparison of beamformer and ICA for dynamic connectivity analysis: A simultaneous MEG-SEEG study
Magnetoencephalography (MEG) is a powerful tool for estimating brain connectivity with
both good spatial and temporal resolution. It is particularly helpful in epilepsy to characterize …
both good spatial and temporal resolution. It is particularly helpful in epilepsy to characterize …
Inverse Problem for M/EEG Source Localization: A Review
SMM Basri, H Al-Nashash, H Mir - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
This systematic review provides a comprehensive evaluation of current and emerging
methodologies in M/EEG source localization by addressing critical technological and …
methodologies in M/EEG source localization by addressing critical technological and …
[HTML][HTML] A Bayesian parametric approach to the retrieval of the atmospheric number size distribution from lidar data
A Sorrentino, A Sannino, N Spinelli… - Atmospheric …, 2022 - amt.copernicus.org
We consider the problem of reconstructing the number size distribution (or particle size
distribution) in the atmosphere from lidar measurements of the extinction and backscattering …
distribution) in the atmosphere from lidar measurements of the extinction and backscattering …
[HTML][HTML] An in–vivo validation of ESI methods with focal sources
Electrophysiological source imaging (ESI) aims at reconstructing the precise origin of brain
activity from measurements of the electric field on the scalp. Across laboratories/research …
activity from measurements of the electric field on the scalp. Across laboratories/research …
Cost free hyper-parameter selection/averaging for Bayesian inverse problems with vanilla and Rao-Blackwellized SMC samplers
In Bayesian inverse problems, one aims at characterizing the posterior distribution of a set of
unknowns, given indirect measurements. For non-linear/non-Gaussian problems, analytic …
unknowns, given indirect measurements. For non-linear/non-Gaussian problems, analytic …
The SESAMEEG package: a probabilistic tool for source localization and uncertainty quantification in M/EEG
Source localization from M/EEG data is a fundamental step in many analysis pipelines,
including those aiming at clinical applications such as the pre-surgical evaluation in …
including those aiming at clinical applications such as the pre-surgical evaluation in …
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory …
Modelling the progression of Degenerative Diseases (DD) is essential for detection,
prevention, and treatment, yet it remains challenging due to the heterogeneity in disease …
prevention, and treatment, yet it remains challenging due to the heterogeneity in disease …
Non-uniform spatial priors for multi-dipole localization from MEG/EEG data
Localization of current dipoles from magneto/electro-encephalographic data is a key step in
several applications, from basic neuroscience to pre-surgical evaluation of epileptic patients …
several applications, from basic neuroscience to pre-surgical evaluation of epileptic patients …
[PDF][PDF] Retrieving the atmospheric number size distribution from lidar data
We consider the problem of reconstructing the number size distribution (or particle size
distribution) in the atmosphere from lidar measurements of the extinction and backscattering …
distribution) in the atmosphere from lidar measurements of the extinction and backscattering …
Estimating hyper-parameters for an inverse problem in brain imaging
G Luriaa, A Pascarellab, S Sommarivaa… - PROCEEDINGS OF SIMAI … - unibas.it
Electroencephalography (EEG) and magnetoencephalography (MEG) are non-invasive
neuromaging techniques with one-millisecond temporal resolution. The M/EEG inverse …
neuromaging techniques with one-millisecond temporal resolution. The M/EEG inverse …