Characterization of Mental States through Node Connectivity between Brain Signals. - Tiziana Cattai; Stefania Colonnese; Marie-Constance Corsi; Danielle S. Bassett; Gaetano Scarano; Fabrizio de Vico Fallani (EUSIPCO, 2018)

Combination of connectivity and spectral Features for motor-imagery BCI. - Tiziana Cattai; Stefania Colonnese; Marie-Constance Corsi; Danielle S. Bassett; Gaetano Scarano; Fabrizio de Vico Fallani (GBCIC, 2019)

Looking for cortical patterns of successful motor imagery-based BCI learning. - Marie-Constance Corsi; Mario Chavez; Denis Schwartz; Nathalie George; Laurent Hugueville; Ari E. Kahn; Sophie Dupont; Danielle S. Bassett; Fabrizio de Vico Fallani (GBCIC, 2019)

Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface. - Marie-Constance Corsi; Mario Chavez; Denis Schwartz; Laurent Hugueville; Ankit N. Khambhati; Danielle S. Bassett; Fabrizio de Vico Fallani (Int. J. Neural Syst., 2019)

Magnetoencephalography With Optically Pumped 4He Magnetometers at Ambient Temperature. - Etienne Labyt; Marie-Constance Corsi; William Fourcault; Augustin Palacios Laloy; Francis Bertrand; Francois Lenouvel; Gilles Cauffet; Matthieu Le Prado; François Berger; Sophie Morales (IEEE Trans. Medical Imaging, 2019)

Functional disconnection of associative cortical areas predicts performance during BCI training. - Marie-Constance Corsi; Mario Chavez; Denis Schwartz; Nathalie George; Laurent Hugueville; Ari E. Kahn; Sophie Dupont; Danielle S. Bassett; Fabrizio de Vico Fallani (NeuroImage, 2020)

Towards multimodal BCIs: the impact of peripheral control on motor cortex activity and sense of agency. - Tristan Venot; Marie-Constance Corsi; Ludovic Saint-Bauzel; Fabrizio de Vico Fallani (EMBC, 2021)

Riemannian Geometry on Connectivity for Clinical BCI. - Marie-Constance Corsi; Florian Yger; Sylvain Chevallier; Camille Noûs (ICASSP, 2021)

Clinical BCI Challenge-WCCI2020: RIGOLETTO - RIemannian GeOmetry LEarning, applicaTion To cOnnectivity. - Marie-Constance Corsi; Florian Yger; Sylvain Chevallier; Camille Noûs (CoRR, 2021)

Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising. - Tiziana Cattai; Gaetano Scarano; Marie-Constance Corsi; Danielle S. Bassett; Fabrizio de Vico Fallani; Stefania Colonnese (IEEE Trans. Signal Inf. Process. over Networks, 2021)

EEG as Signal on Graph: a Multilayer Network model for BCI applications. - Tiziana Cattai; Gaetano Scarano; Marie-Constance Corsi; Fabrizio de Vico Fallani; Stefania Colonnese (EUSIPCO, 2022)

Exploring strategies for multimodal BCIs in an enriched environment. - Tristan Venot; Arthur Desbois; Marie-Constance Corsi; Laurent Hugueville; Ludovic Saint-Bauzel; Fabrizio de Vico Fallani (MetroXRAINE, 2022)

Riemannian geometry for combining functional connectivity metrics and covariance in BCI. - Sylvain Chevallier; Marie-Constance Corsi; Florian Yger; Fabrizio de Vico Fallani (Softw. Impacts, 2022)

Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE). - Marie-Constance Corsi; Sylvain Chevallier; Fabrizio de Vico Fallani; Florian Yger (IEEE Trans. Biomed. Eng., 2022)

pyRiemann/pyRiemann: v0.3. - Alexandre Barachant; Quentin Barthélemy; Jean-Rémi King; Alexandre Gramfort; Sylvain Chevallier; Pedro L. C. Rodrigues; Emanuele Olivetti; Vladislav Goncharenko; Gabriel Wagner vom Berg; Ghiles Reguig; Arthur Lebeurrier; Erik Bjäreholt; et al. (Zenodo, 2022)

Brain fingerprint is based on the aperiodic, scale-free, neuronal activity. - Pierpaolo Sorrentino; Emahnuel Troisi Lopez; Antonella Romano; Carmine Granata; Marie-Constance Corsi; Giuseppe Sorrentino; Viktor K. Jirsa (NeuroImage, 2023)

Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface. - Sébastien Velut; Sylvain Chevallier; Marie-Constance Corsi; Frédéric Dehais (ESANN, 2024)

Introducing the Modularity Graph: An Application to Brain Functional Networks. - Tiziana Cattai; Camilla Caporali; Marie-Constance Corsi; Stefania Colonnese (EUSIPCO, 2024)

Geometric Neural Network based on Phase Space for BCI decoding. - Igor Carrara; Bruno Aristimunha; Marie-Constance Corsi; Raphael Y. de Camargo; Sylvain Chevallier; Théodore Papadopoulo (CoRR, 2024)

HappyFeat - An interactive and efficient BCI framework for clinical applications. - Arthur Desbois; Tristan Venot; Fabrizio de Vico Fallani; Marie-Constance Corsi (Softw. Impacts, 2024)

Automatic Ocular Artifact Correction in Electroencephalography for Neurofeedback. - Cassandra Dumas; Marie-Constance Corsi; Claire Dussard; Fanny Grosselin; Nathalie George (BIOSTEC (1), 2025)

Low-dimensional controllability of brain networks. - Remy Ben Messaoud; Vincent Le Du; Camile Bousfiha; Marie-Constance Corsi; Juliana Gonzalez-Astudillo; Brigitte Charlotte Kaufmann; Tristan Venot; Baptiste Couvy-Duchesne; Lara Migliaccio; Charlotte Rosso; Paolo Bartolomeo; Mario Chavez; et al. (PLoS Comput. Biol., 2025)

Community Detection From Multiple Observations: From Product Graph Model to Brain Applications. - Tiziana Cattai; Gaetano Scarano; Marie-Constance Corsi; Fabrizio de Vico Fallani; Stefania Colonnese (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Neuronal avalanches as a predictive biomarker of BCI performance: towards a tool to guide tailored training program. - Camilla Mannino; Pierpaolo Sorrentino; Mario Chavez; Marie-Constance Corsi (CoRR, 2025)

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding. - Bruno Aristimunha; Dung Truong; Pierre Guetschel; Seyed Yahya Shirazi; Isabelle Guyon; Alexandre R. Franco; Michael P. Milham; Aviv Dotan; Scott Makeig; Alexandre Gramfort; Jean-Remi King; Marie-Constance Corsi; et al. (CoRR, 2025)