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 epilepsy. Among the many available source localization algorithms, SESAME (SEquential SemiAnalytic Montecarlo Estimator) is a B...

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Principais autores:	Gianvittorio Luria, Alessandro Viani, Annalisa Pascarella, Harald Bornfleth, Sara Sommariva, Alberto Sorrentino
格式:	Artigo
語言:	Inglês
出版:	Frontiers Media S.A. 2024-03-01
叢編:	Frontiers in Human Neuroscience
主題:	Bayesian inference inverse problems MEG EEG open-source software MATLAB
在線閱讀:	https://www.frontiersin.org/articles/10.3389/fnhum.2024.1359753/full
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