Marie-Constance Corsi

Marie-Constance Corsi is an Inria research scientist at Paris Brain Institute in the ARAMIS Lab.

Her research currently focuses on the development of tools to address the “Brain-Computer Interface (BCI) inefficiency” issue, reflected by a non-negligible portion of users who cannot control the device even after several training sessions. She essentially considers two main approaches: the search for neurophysiological markers of BCI training and the integration of multimodal data to enrich the information provided to the classifier.

She serves as secretary general of the French academic association promoting the advances in BCI, called CORTICO, and as co-chair of the Postdocs and Students Committee of the BCI Society.

EDUCATION

Oct. 2015 : PhD in Biomedical instrumentation ”Helium 4 Optically-Pumped Magnetometers: Development and Proof of Concept in Magnetocardiography and under the supervision of Prof. Gilles Cauffet, Dr. Etienne Labyt, Dr. Sophie Morales, at the Laboratoire des Capteurs Innovants, CEA-LETI, Grenoble, France

Sept. 2015: MSc in Neuropsychology and Clinical Neurosciences, Grenoble Alpes University, France

2012: MEng in Information and Communications Technology for Health at IMT Atlantique, Brest, France

RESEARCH INTERESTS

Closed-loop systems (Brain-Computer Interfaces & Neurofeedback), Functional connectivity, Longitudinal processes, Multimodal integration, Biomedical instrumentation, MEG, EEG

RECENT SCHOLAR PUBLICATIONS

Dynamic reconfiguration of aperiodic brain activity supports cognitive functioning in epilepsy: a neural fingerprint identification
M Corsi, A Danieli, L Antoniazzi, M Angiolelli, P Bonanni, P Sorrentino, ...
2024



Geometric Neural Network based on Phase Space for BCI decoding
I Carrara, B Aristimunha, MC Corsi, RY de Camargo, S Chevallier, ...
arXiv preprint arXiv:2403.05645 2024



HappyFeat—An interactive and efficient BCI framework for clinical applications
A Desbois, T Venot, FDV Fallani, MC Corsi
Software Impacts 19, 100610 2024



Dynamic reconfiguration of aperiodic brain activity supports cognitive functioning in epilepsy: a neural fingerprint identification
E Troisi Lopez, MC Corsi, A Danieli, L Antoniazzi, M Angiolelli, P Bonanni, ...
medRxiv, 2024.04. 19.24305881 2024



Augmented SPDNet: Second-Order Neural Network for Motor Imagery-Based BCI
I Carrara, B Aristimunha, MC Corsi, RY De Camargo, S Chevallier, ...
Soph. IA summit 2023 2023



Mental imagery timing affects hybrid BCI control of robotic arms
T Venot, A Desbois, MC Corsi, L Hugueville, L Saint-Bauzel, FV Fallani
arXiv preprint arXiv:2309.12195 2023



Intentional binding enhances hybrid BCI control
T Venot, A Desbois, MC Corsi, L Hugueville, L Saint-Bauzel, ...
arXiv e-prints, arXiv: 2309.12195 2023



Brain fingerprint is based on the aperiodic, scale-free, neuronal activity
P Sorrentino, ET Lopez, A Romano, C Granata, MC Corsi, G Sorrentino, ...
NeuroImage 277, 120260 2023



Electroencephalography and Magnetoencephalography
MC Corsi
Machine learning for brain disorders, 285-312 2023



Topological duality of multilayer networks
C Presigny, MC Corsi, FDV Fallani
arXiv preprint arXiv:2306.12136 2023



Using critical dynamics to capture processes underlying Brain-Computer Interface performance
MC Corsi, P Sorrentino, DP Schwartz, N George, L Hugueville, AE Kahn, ...
NeuroFrance 2023 2023



Neuronal avalanches as alternative features for motor imagery-based brain-computer interface
L Ek-Fliesberg, P Sorrentino, MC Corsi
Journes CORTICO 2023 2023



Dimensionality Reduction and Frequency Bin Optimization To Improve a Riemannian-based Classification Pipeline
R Frateur, S Chevallier, F Yger, MC Corsi
CORTICO 2023-Journes COllectif pour la Recherche Transdisciplinaire sur les 2023



CONCERTO: Coherence & Functional Connectivity Graph Network
B Aristimunha, RY De Camargo, WHL Pinaya, F Yger, MC Corsi, ...
Journe CORTICO 2023 2023



Holographic EEG: multi-view deep learning for BCI
I Carrara, B Aristimunha, S Chevallier, MC Corsi, T Papadopoulo
Journe CORTICO 2023 2023



Ensemble of Riemannian classifiers for multimodal data: FUCONE approach for M/EEG data
MC Corsi, S Chevallier, F de Vico Fallani, F Yger
IEEE International Symposium on Biomedical Imaging (ISBI) 2023 2023



Informing motor imagery-based brain-computer interface via neuronal avalanches
P Sorrentino, MC Corsi, DP Schwartz, N George, AE Kahn, S Dupont, ...
IEEE International Symposium on Biomedical Imaging (ISBI) 2023 2023



Neuronal avalanches in temporal lobe epilepsy as a diagnostic tool: a noninvasive investigation of intrinsic resting state dynamics
MC Corsi, ET Lopez, P Sorrentino, A Danieli, S Cuozzo, P Bonanni, ...
medRxiv, 2023.12. 06.23299589 2023



Comparison of strategies to elicit motor imagery-related brain patterns in multimodal BCI settings
T Venot, A Desbois, MC Corsi, L Hugueville, L Saint-Bauzel, ...
SFN 2022-Society for Neuroscience Annual Meeting 2022 2022



Exploring strategies for multimodal BCIs in an enriched environment
T Venot, A Desbois, MC Corsi, L Hugueville, L Saint-Bauzel, FDV Fallani
2022 IEEE International Conference on Metrology for Extended Reality 2022

MOST CITED SCHOLAR PUBLICATIONS

EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease
S Gaubert, F Raimondo, M Houot, MC Corsi, L Naccache, J Diego Sitt, ...
Brain 142 (7), 2096-2112 2019
Citations: 171



Integrating EEG and MEG signals to improve motor imagery classification in brain–computer interface
MC Corsi, M Chavez, D Schwartz, L Hugueville, AN Khambhati, ...
International journal of neural systems 29 (01), 1850014 2019
Citations: 89



Magnetoencephalography With Optically Pumped ⁴He Magnetometers at Ambient Temperature
E Labyt, MC Corsi, W Fourcault, AP Laloy, F Bertrand, F Lenouvel, ...
IEEE transactions on medical imaging 38 (1), 90-98 2018
Citations: 57



Magnetocardiography measurements with 4He vector optically pumped magnetometers at room temperature
S Morales, MC Corsi, W Fourcault, F Bertrand, G Cauffet, C Gobbo, ...
Physics in Medicine & Biology 62 (18), 7267 2017
Citations: 56



Network-based brain computer interfaces: principles and applications
J Gonzalez-Astudillo, T Cattai, G Bassignana, MC Corsi, F De Vico Fallani
Journal of Neural Engineering 2020
Citations: 44



Functional disconnection of associative cortical areas predicts performance during BCI learning
MC Corsi, M Chavez, D Schwartz, N George, L Hugueville, AE Kahn, ...
NeuroImage 209, 116500 2020
Citations: 33



A machine learning approach to screen for preclinical Alzheimer's disease
S Gaubert, M Houot, F Raimondo, M Ansart, MC Corsi, L Naccache, ...
Neurobiology of Aging 105, 205-216 2021
Citations: 25



Phase/Amplitude Synchronization of Brain Signals During Motor Imagery BCI Tasks
T Cattai, S Colonnese, MC Corsi, DS Bassett, G Scarano, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1168-1177 2021
Citations: 25



Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior
J Stiso, MC Corsi, JM Vettel, J Garcia, F Pasqualetti, F De Vico Fallani, ...
Journal of Neural Engineering 17 (4), 046018 2020
Citations: 18



Functional connectivity ensemble method to enhance BCI performance (FUCONE)
MC Corsi, S Chevallier, FDV Fallani, F Yger
IEEE Transactions on Biomedical Engineering 69 (9), 2826-2838 2022
Citations: 15



Characterization of mental states through node connectivity between brain signals
T Cattai, S Colonnese, MC Corsi, DS Bassett, G Scarano, ...
2018 26th European Signal Processing Conference (EUSIPCO), 1377-1381 2018
Citations: 14



Method and device for measuring a magnetic field by synchronised excitations
M Le Prado, F Bertrand, M Corsi, E Delevoye, S Morales
US Patent 9,797,966 2017
Citations: 13



Improving J-divergence of brain connectivity states by graph Laplacian denoising
T Cattai, G Scarano, MC Corsi, DS Bassett, F De Vico Fallani, ...
IEEE Transactions on Signal and Information Processing over Networks 7, 493-508 2021
Citations: 12



pyriemann/pyriemann: v0. 3
A Barachant, Q Barthlemy, JR King, A Gramfort, S Chevallier, ...
Zenodo, Jul 2022
Citations: 11



Riemannian geometry on connectivity for clinical BCI
MC Corsi, F Yger, S Chevallier, C Nos
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and 2021
Citations: 9



BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks
MC Corsi, M Chavez, D Schwartz, N George, L Hugueville, AE Kahn, ...
Journal of Neural Engineering 2021
Citations: 8



A user-centred approach to unlock the potential of non-invasive BCIs: an unprecedented international translational effort
C Jeunet, C Bernaroch, F Cabestaing, R Chavarriaga, E Colamarino, ...
CHIST-ERA CONFERENCE 2020 2020
Citations: 6



Brain fingerprint is based on the aperiodic, scale-free, neuronal activity
P Sorrentino, ET Lopez, A Romano, C Granata, MC Corsi, G Sorrentino, ...
NeuroImage 277, 120260 2023
Citations: 4



EEG as signal on graph: a multilayer network model for BCI applications
T Cattai, G Scarano, MC Corsi, FDV Fallani, S Colonnese
2022 30th European Signal Processing Conference (EUSIPCO), 932-936 2022
Citations: 3



Measuring brain critical dynamics to inform Brain-Computer Interfaces
MC Corsi, P Sorrentino, D Schwartz, N George, L Hugueville, AE Kahn, ...
bioRxiv, 2022.06. 14.495887 2022
Citations: 2