Françoise Lecaignard

This study investigates how sleep affects motor sequence learning by analyzing brain oscillations, finding that sleep enhances post-movement parietal beta synchronization.

The paper compares EEG, SQUID-MEG, and 4Helium-OPMs in measuring auditory mismatch negativity using a passive oddball paradigm, finding comparable performance across all modalities.

The paper uses computational models to analyze EEG data and finds that adaptation and Bayesian learning mechanisms explain different temporal phases of the MMN response.

The paper investigates how brain responses to expected and unexpected sounds are modulated by precision and prediction error, revealing adaptive learning mechanisms in auditory processing.

This study investigates attentional alterations in migraine using behavioral and MEG/EEG data, finding increased bottom-up orienting responses and enhanced top-down attention recruitment in migraineurs.

The paper evaluates fused EEG-MEG source reconstruction using real data, finding it improves spatial localization compared to unimodal methods for auditory mismatch responses.