An inversion method based on random sampling for real-time MEG\n neuroimaging

2016/10/05 by Annalisa Pascarella, Pascarella, Annalisa, Francesca Pitolli +1 · 1 citation
Earth and Planetary Sciences · Engineering · Medicine · #Advanced MRI Techniques and Applications #Electrical and Bioimpedance Tomography #FOS: Biological sciences #FOS: Physical sciences #Geophysical and Geoelectrical Methods #Medical Physics (physics.med-ph) #Neurons and Cognition (q-bio.NC)

paper · pdf · doi:10.48550/arxiv.1610.01636

openalex publication_date 2016/10/05 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28

Abstract

The MagnetoEncephaloGraphy (MEG) has gained great interest in\nneurorehabilitation training due to its high temporal resolution. The challenge\nis to localize the active regions of the brain in a fast and accurate way. In\nthis paper we use an inversion method based on random spatial sampling to solve\nthe real-time MEG inverse problem. Several numerical tests on synthetic but\nrealistic data show that the method takes just a few hundredths of a second on\na laptop to produce an accurate map of the electric activity inside the brain.\nMoreover, it requires very little memory storage. For this reasons the random\nsampling method is particularly attractive in real-time MEG applications.\n

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