Matteo Fraschini

This study shows that the head model significantly affects the accuracy of subject identification and differentiation in MEG-derived functional connectivity fingerprinting.

The paper evaluates how different functional connectivity methods affect EEG source space networks at rest and finds that methods retaining zero-lag connections correlate better with fMRI networks.

This study compares scalp- and source-reconstructed EEG networks to assess their accuracy in estimating network topology and identifies metrics that reduce distortions caused by volume conduction.

This study examines how EEG functional network topology relates to disability in ALS patients, finding significant correlations between network parameters and disease severity.