Marie-Constance Corsi | Marie-Constance Corsi

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Imagined movement modulates cardiac-cortico-cortical and cardiac-cortico-cerebellar oscillatory networks
Neurophysiological screening of individual variability for robust decoding in c-VEP-based BCI
Methods for brain–computer interfacing
Weighted-stochastic Avalanche Transition Matrix (ws-ATM): a tool to investigate brain dynamic and its neuropathological alterations
Low-Frequency Textured Gabor Flicker Enhances SSVEP Entrainment and Visual Comfort for BCI Control
Interpretability of Riemannian tools used in brain computer interfaces
Riemannian fusions of EEG-based features for motor imagery detection under propofol sedation
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
Neural mechanisms of training in Brain-Computer Interface: A Biophysical modeling approach
Automatic Ocular Artifact Correction in Electroencephalography for Neurofeedback
Chapter 6 - Signal processing for brain signals
Community Detection from Multiple Observations: from Product Graph Model to Brain Applications
Low-dimensional controllability of brain networks
Dynamic reconfiguration of aperiodic brain activity supports cognitive functioning in epilepsy - a neural-fingerprint identification
Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface
Neuronal avalanches for eeg-based motor imagery BCI
Node-layer duality in networked systems
Community Detection from Multiple Observations: from Product Graph Model to Brain Applications
Introducing the modularity graph: an application to brain functional networks
Neuronal avalanches in temporal lobe epilepsy as a noninvasive diagnostic tool investigating large scale brain dynamics
Dynamic reconfiguration of aperiodic brain activity supports cognitive functioning in epilepsy: a neural fingerprint identification
Geometric Neural Network based on Phase Space for BCI decoding
HappyFeat—An interactive and efficient BCI framework for clinical applications
Intentional binding for noninvasive BCI control
Measuring neuronal avalanches to inform brain-computer interfaces
Brain fingerprint is based on the aperiodic, scale-free, neuronal activity
Electroencephalography and Magnetoencephalography
Exploring strategies for multimodal BCIs in an enriched environment
EEG as Signal on Graph: a Multilayer Network model for BCI applications
Functional connectivity ensemble method to enhance BCI performance (FUCONE)
Riemannian geometry for combining functional connectivity metrics and covariance in BCI
Towards multimodal BCIs: the impact of peripheral control on motor cortex activity and sense of agency
Ensemble learning based on functional connectivity and Riemannian geometry for robust workload estimation
Riemannian Geometry on Connectivity for Clinical BCI
A machine learning approach to screen for preclinical Alzheimer's disease
BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks
Improving J-divergence of brain connectivity states by graph Laplacian denoising
Network-based brain–computer interfaces: principles and applications
Phase/Amplitude Synchronization of Brain Signals During Motor Imagery BCI Tasks
Extending Riemannian Brain-Computer Interface to Functional Connectivity Estimators
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
EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease
Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface
Magnetoencephalography With Optically Pumped 4He Magnetometers at Ambient Temperature
Characterization of Mental States through Node Connectivity between Brain Signals
Magnetocardiography measurements with $^textrm4$He vector optically pumped magnetometers at room temperature
Magnétomètres à pompage optique à Hélium 4 : développement et preuve de concept en magnétocardiographie et en magnétoencéphalographie