Probleme Inverse Meg / Eeg
نویسنده
چکیده
منابع مشابه
Geometrical interpretation of fMRI-guided MEG/EEG inverse estimates.
Magneto- and electroencephalography (MEG/EEG) and functional magnetic resonance imaging (fMRI) provide complementary information about the functional organization of the human brain. An important advantage of MEG/EEG is the millisecond time resolution in detecting electrical activity in the cerebral cortex. The interpretation of MEG/EEG signals, however, is limited by the difficulty of determin...
متن کاملMonte Carlo simulation studies of EEG and MEG localization accuracy.
Both electroencephalography (EEG) and magnetoencephalography (MEG) are currently used to localize brain activity. The accuracy of source localization depends on numerous factors, including the specific inverse approach and source model, fundamental differences in EEG and MEG data, and the accuracy of the volume conductor model of the head (i.e., the forward model). Using Monte Carlo simulations...
متن کاملA study of dipole localization accuracy for MEG and EEG using a human skull phantom.
OBJECTIVE To investigate the accuracy of forward and inverse techniques for EEG and MEG dipole localization. DESIGN AND METHODS A human skull phantom was constructed with brain, skull and scalp layers and realistic relative conductivities. Thirty two independent current dipoles were distributed within the 'brain' region and EEG and MEG data collected separately for each dipole. The true dipol...
متن کاملA Spatio-Temporal Solution for the EEG/MEG Inverse Problem Using Group Penalization Methods
The inverse problem encountered in electroencephalography (EEG) and magnetoencephalography (MEG) studies refers to estimating neural activity given limited scalp-recorded data. We propose a spatio-temporal solution using group penalization approaches. This proposed method is based on the assumption that the underlying sources of EEG/MEG measurements are smooth in the temporal domain, and focal ...
متن کاملEfficient Computation of Lead Field Bases and Influence Matrix for the FEM-based EEG and MEG Inverse Problem
The inverse problem in EEG and MEG aims at reconstructing the underlying current distribution in the human brain. The finite element method, used for the forward problem, is able to realistically model tissue conductivity inhomogeneities and anisotropies. So far, the computational complexity is quite large when using the necessary high resolution finite element models. It is already known that ...
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تاریخ انتشار 2001