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Alexandre Gramfort

Combining electrophysiology with MRI enhances learning of surrogate-biomarkers
Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states
Manifold-regression to predict from MEG/EEG brain signals without source modeling
Encoding and Decoding Neuronal Dynamics: Methodological Framework to Uncover the Algorithms of Cognition
A reproducible MEG/EEG group study with the MNE software: recommendations, quality assessments, and good practices
Autoreject: Automated artifact rejection for MEG and EEG data
Automated rejection and repair of bad trials in MEG/EEG
Automated measurement and prediction of consciousness in vegetative and minimally conscious patients
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals
Mind the noise covariance when localizing brain sources with M/EEG
MEG and EEG data analysis with MNE-Python
MNE software for processing MEG and EEG data