Neurophysiological markers of longitudinal processes

Last updated on Oct 5, 2024
Functional connectivity motor imagery Learning MEG EEG
Marie-Constance Corsi
Marie-Constance Corsi
Research scientist

My research interests include bridging the gap between biomedical engineering and neurosciences to propose new tools to improve closed-loop systems.

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Publications

Functional disconnection of associative cortical areas predicts performance during BCI training

Brain-computer interfaces (BCIs) have been largely developed to allow communication, control, and neurofeedback in human beings. …
Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Nathalie George, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, Fabrizio De Vico Fallani
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Functional disconnection of associative cortical areas predicts performance during BCI training

Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior

Motor imagery-based brain-computer interfaces (BCIs) use an individual’s ability to volitionally modulate localized brain activity as a …
Jennifer Stiso, Marie-Constance Corsi, Jean M. Vettel, Javier Omar Garcia, Fabio Pasqualetti, Fabrizio de Vico-Fallani, Timothy Lucas, Danielle S. Bassett
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EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease

Early biomarkers are required to detect Alzheimer’s disease at the preclinical stage. Gaubert et al. reveal a non-linear relationship …
Sinead Gaubert, Federico Raimondo, Marion Houot, Marie-Constance Corsi, Lionel Naccache, Jacobo Diego Sitt, Bertrand Hermann, Delphine Oudiette, Geoffroy Gagliardi, Marie-Odile Habert, Bruno Dubois, Fabrizio De Vico Fallani, Hovagim Bakardjian, Stéphane Epelbaum
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