Author

Annalisa Rubino

Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Assay:electronic health records· 3 Organism:human· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1

Frequent Co-Authors

Lino NobiliiD· 3 shared Alberto SorrentinoiD· 2 shared Andrea PigoriniiD· 2 shared Ezequiel MikulaniD· 2 shared Flavia Maria ZauliiD· 2 shared Francesco CardinaleiD· 2 shared Ivana SartoriiD· 2 shared Pietro AvanziniiD· 2 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Lino NobiliORCID

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3 papers

Recent·Most cited

An in-vivo validation of ESI methods with focal sources

Annalisa Pascarella, Ezequiel Mikulan, Federica Sciacchitano, Simone Sarasso, Annalisa Rubino, Ivana Sartori, Francesco Cardinale, Flavia Maria Zauli, Pietro Avanzini, Lino Nobili, Andrea Pigorini, Alberto Sorrentino

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

NeuroImage · Jun 10, 2023Peer-reviewedNeuroscience

Fast oscillations >40Hz localize the epileptogenic zone: an electrical source imaging study using high-density electroencephalography

Tamir Avigdor, Chifaou Abdallah, Nicolás von Ellenrieder, Tanguy Hedrich, Annalisa Rubino, Giorgio Lo Russo, Boris C. Bernhardt, Lino Nobili, Christophe Grova, Birgit Frauscher

This study shows that fast oscillations >40Hz detected with high-density EEG can accurately localize the epileptogenic zone, outperforming conventional EEG methods.

Clinical Neurophysiology · Dec 22, 2020Peer-reviewedNeuroscience

Simultaneous human intracerebral stimulation and HD-EEG: ground-truth for source localization methods

Ezequiel Mikulan, Simone Russo, Sara Parmigiani, Simone Sarasso, Flavia Maria Zauli, Annalisa Rubino, Pietro Avanzini, Anna Cattani, Alberto Sorrentino, Steve Alex Gibbs, Francesco Cardinale, Ivana Sartori, Lino Nobili, Marcello Massimini, Andrea Pigorini

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

Scientific Data · Apr 28, 2020Peer-reviewedNeuroscience