Alberto Sorrentino

This study finds that the optimal regularization parameter for MEG connectivity estimation is smaller than that for source imaging and provides open-source code for analysis.

The paper compares ten ESI methods using in-vivo EEG data to evaluate their accuracy and parameter sensitivity in localizing focal brain sources.

This paper provides an open dataset of EEG recordings from precisely known brain locations to evaluate source localization methods.

The paper reviews mathematical methods for reconstructing brain activity from MEG/EEG data, covering forward problem mathematics, regularization techniques, Bayesian inference, and an application in epilepsy evaluation.