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
1152
Scholar Citations
16
Scholar h-index
25
Scholar i10-index
RECENT SCHOLAR PUBLICATIONS
Neuronal avalanches as a predictive biomarker for guiding tailored BCI training programs C Mannino, P Sorrentino, M Chavez, MC Corsi Imaging Neuroscience , 2026 2026 Citations: 2
Artificial Intelligence for automatic movement recognition: a network-based approach ET Lopez, R Minino, M De Luca, F Tafuri, G Sorrentino, P Sorrentino, ... Array, 100857 , 2026 2026 Citations: 1
The Organization for Human Brain Mapping online Satellite meeting 2025: Enhancing accessibility and sustainability P Kalc, C Rae, R Tansey, M Wang, N Nieto, V Komeyer, K Patil, A Behler, ... Aperture Neuro 6 , 2026 2026
Neurophysiological screening of individual variability for robust decoding in c-VEP-based BCI S Velut, J Thielen, S Chevallier, MC Corsi, F Dehais Imaging Neuroscience 4, IMAG. a. 1172 , 2026 2026
Physiological Relevance and Temporal Stability of Common Spatial Patterns in Motor Imagery Neurofeedback C Dumas, C Dussard, N George, MC Corsi 2026-1st EBRAINS Student Conference on Interdisciplinary Brain Research , 2026 2026
Magnetoencephalography-based interpretable automated differential diagnosis in neurodegenerative diseases D Klepachevskyi, M Angiolelli, B Aristimunha, A Romano, F Trojsi, ... Heliyon 12 (4) , 2026 2026 Citations: 2
Imagined movement modulates cardiac-cortico-cortical and cardiac-cortico-cerebellar oscillatory networks D Candia-Rivera, M Chavez, F de Vico Fallani, MC Corsi NeuroImage, 121804 , 2026 2026
Weighted-stochastic Avalanche Transition Matrix (ws-ATM): a tool to investigate brain dynamic and its neuropathological alterations C Mannino, P Sorrentino, M Angiolelli, M Demuru, F Trojsi, M Chavez, ... medRxiv, 2026.01. 08.26343631 , 2026 2026 Citations: 1
REDDI: A Riemannian Ensemble Learning Framework for Interpretable Differential Diagnosis of Neurodegenerative Diseases M Roca, G Messuti, D Klepachevskyi, M Angiolelli, S Bonavita, F Trojsi, ... medRxiv, 2026.04. 10.26350617 , 2026 2026
Methods for brain–computer interfacing A Vourvopoulos, K Kostoglou, MC Corsi, S Chevallier, M Eder, ... Brain–Computer Interfaces: An educational and research textbook, 4-1-4-78 , 2026 2026
Release 0.10 Toggle Dropdown A Barachant, Q Barthélemy, JR King, A Gramfort, S Chevallier, ... 2026
Low-Frequency Textured Gabor Flicker Enhances SSVEP Entrainment and Visual Comfort for BCI Control J Gomel, MC Corsi, F Dehais bioRxiv, 2025.12. 12.693875 , 2025 2025
Characterization and Usability of Common Spatial Pattern Features in Motor Imagery Neurofeedback C Dumas, C Dussard, N George, MC Corsi SPNC 2025-Journées" Brain Insights into Memory and Consciousness" de la … , 2025 2025
Correction: Low-dimensional controllability of brain networks. V Le Du, C Bousfiha, MC Corsi, J Gonzalez-Astudillo, BC Kaufmann, ... Plos Computational Biology 21 (10), e1013601-e1013601 , 2025 2025
Imagined movement increases the segregation of brain-heart networks D Candia-Rivera, M Chavez, F de Vico Fallani, MC Corsi bioRxiv, 2025.10. 21.683635 , 2025 2025
Riemannian fusions of EEG-based features for motor imagery detection under propofol sedation VM Cueva, C Mannino, MC Corsi, F Lotte, S Rimbert, L Bougrain 2025 IEEE 35th International Workshop on Machine Learning for Signal … , 2025 2025
Interpretability of Riemannian tools used in brain computer interfaces T de Surrel, T Venot, MC Corsi, F Yger 2025 IEEE 35th International Workshop on Machine Learning for Signal … , 2025 2025 Citations: 1
Neural mechanisms of training in Brain-Computer Interface: A Biophysical modeling approach A Debnath, T Venot, MC Corsi, P Verma bioRxiv, 2025.06. 21.660834 , 2025 2025
Eeg foundation challenge: from cross-task to cross-subject eeg decoding B Aristimunha, D Truong, P Guetschel, SY Shirazi, I Guyon, AR Franco, ... arXiv preprint arXiv:2506.19141 , 2025 2025 Citations: 10
Neuronal Avalanches: A Biomarker for Learning Effects and a Predictor of BCI Score in Motor Imagery Tasks C Mannino, P Sorrentino, M Chavez, MC Corsi 11th International BCI Meeting 2025 , 2025 2025
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 2019 Citations: 277
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 2019 Citations: 100
Magnetoencephalography With Optically Pumped 4 He 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 2018 Citations: 82
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 2020 Citations: 80
Magnetocardiography measurements with 4 He 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), 7267-7279 , 2017 2017 Citations: 77
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 2020 Citations: 52
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 2021 Citations: 48
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 2021 Citations: 45
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 2022 Citations: 44
pyRiemann/pyRiemann: v0. 5 A Barachant, Q Barthélemy, A Gramfort, JR King, PLC Rodrigues, ... Zenodo , 2023 2023 Citations: 33
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 2023 Citations: 28
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 2020 Citations: 26
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 2021 Citations: 25
Measuring neuronal avalanches to inform brain-computer interfaces MC Corsi, P Sorrentino, D Schwartz, N George, LL Gollo, S Chevallier, ... Iscience 27 (1) , 2024 2024 Citations: 17
Method and device for measuring a magnetic field by synchronised excitations M Le Prado, F Bertrand, MC CORSI, E Delevoye, S Morales US Patent 9,797,966 , 2017 2017 Citations: 17
Geometric neural network based on phase space for BCI-EEG decoding I Carrara, B Aristimunha, MC Corsi, RY de Camargo, S Chevallier, ... Journal of Neural Engineering 22 (1), 016049 , 2025 2025 Citations: 16
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 2018 Citations: 15
Neuronal avalanches in temporal lobe epilepsy as a noninvasive diagnostic tool investigating large scale brain dynamics MC Corsi, E Troisi Lopez, P Sorrentino, S Cuozzo, A Danieli, P Bonanni, ... Scientific reports 14 (1), 14039 , 2024 2024 Citations: 13
Riemannian geometry on connectivity for clinical BCI MC Corsi, F Yger, S Chevallier, C Noûs ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and … , 2021 2021 Citations: 12
Electroencephalography and magnetoencephalography MC Corsi Machine learning for brain disorders, 285-312 , 2023 2023 Citations: 11
