Author

Elisabetta Vallarino

University of GenoaORCID 0000-0002-4247-6192Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:electronic health records· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Sara SommarivaiD· 2 shared Alberto SorrentinoiD· 1 shared Ana-Sofía Hincapié· 1 shared Annalisa PascarellaiD· 1 shared Dario ArnaldiiD· 1 shared Flavio Mariano NobiliiD· 1 shared Francesco FamàiD· 1 shared Karim JerbiiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

Sara SommarivaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Tuning Minimum-Norm regularization parameters for optimal MEG connectivity estimation

Elisabetta Vallarino, Ana-Sofía Hincapié, Karim Jerbi, Richard M. Leahy, Annalisa Pascarella, Alberto Sorrentino, Sara Sommariva

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.

NeuroImage · Sep 11, 2023Peer-reviewedNeuroscience

Transfreq: a Python package for computing the theta-to-alpha transition frequency from resting state EEG data

Elisabetta Vallarino, Sara Sommariva, Dario Arnaldi, Francesco Famà, Michele Piana, Flavio Mariano Nobili

Transfreq computes theta-to-alpha transition frequency from resting-state EEG data by clustering spectral profiles, demonstrating feasibility and robustness across datasets.

bioRxiv · Dec 3, 2021 · PreprintNeuroscience