Author

Isotta Rigoni

University of GenevaORCID 0000-0002-5804-2137Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Organism:human· 1 Assay:multiome· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexandre CioncaiD· 1 shared Arthur P C SpenceriD· 1 shared Chun Hei Michael ChaniD· 1 shared Dimitri Van De VilleiD· 1 shared Emeline MullieriD· 1 shared Erick Jorge Canales-RodrígueziD· 1 shared Hélène LajousiD· 1 shared Ileana JelescuiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Alexandre CioncaORCID

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1 paper

Recent·Most cited

Non-invasive prediction of conduction velocities in the human brain from MRI-derived microstructure features at 7 Tesla

Saina Asadi, Arthur P C Spencer, Yasser Alemán‐Gómez, Maciej Jedynak, Erick Jorge Canales-Rodríguez, Tommaso Pavan, Emeline Mullier, Louise de Wouters, Isotta Rigoni, Hélène Lajous, Chun Hei Michael Chan, Alexandre Cionca, Dimitri Van De Ville, Serge Vulliémoz, Olivier David A, , Ileana Jelescu

This paper develops a whole-brain model to predict conduction velocity from MRI-derived microstructural features, explaining 29% of variance in neurophysiological conduction velocity.

bioRxiv · Oct 28, 2025 · PreprintNeuroscience