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Non-invasive decoding of brain communication patterns to ease motor restoration after stroke

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Publications

Temporal exponential random graph models of longitudinal brain networks after stroke

Author(s): Catalina Obando; Charlotte Rosso; Joshua Siegel; Maurizio Corbetta; Fabrizio De Vico Fallani
Published in: Journal of Royal Society Interface, 2, 2022, ISSN 1742-5662
Publisher: Royal Society
DOI: 10.1098/rsif.2021.0850

BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks

Author(s): Marie-Constance Corsi et al,
Published in: Journal of Neural Engineering, 1, 2021, ISSN 1741-2560
Publisher: Institute of Physics Publishing
DOI: 10.1088/1741-2552/abef39

Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising

Author(s): Tiziana Cattai; G. Scarano; Marie-Constance Corsi; Danielle S. Bassett; Fabrizio De Vico Fallani; Stefania Colonnese
Published in: IEEE Transactions on Signal and Information Processing over Networks, 2, 2022, ISSN 2373-776X
Publisher: IEEE
DOI: 10.1109/tsipn.2021.3100302

Functional connectivity ensemble method to enhance BCI performance (FUCONE)

Author(s): Marie-Constance Corsi; Sylvain Chevallier; Fabrizio De Vico Fallani; Florian Yger
Published in: IEEE TBME, 4, 2022, ISSN 0018-9294
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbme.2022.3154885