Author
Institut national de recherche en sciences et technologies du numériqueORCID 0000-0001-7737-6581Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
Recent·Most cited
Denis Alexander Engemann, Apolline Mellot, Richard Höchenberger…·Alexandre Gramfort
This paper benchmarks machine learning approaches for brain age prediction using M/EEG signals across four international cohorts, finding that spatially aware models achieve the highest performance.
David Sabbagh, Pierre Ablin, Gael P. Varoquaux…·Denis Alexander Engemann
This paper develops predictive models for continuous biomedical outcomes from M/EEG data, comparing supervised spatial filtering and Riemannian geometry approaches, and finds Riemannian methods are more robust to anatomical distortions.
Denis Alexander Engemann, Oleh Kozynets, David Sabbagh…·Alexandre Gramfort
The paper combines MEG, MRI, and fMRI to predict age as a surrogate biomarker, showing additive effects and demonstrating robustness to missing data.