| MNE software for processing MEG and EEG data A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... Neuroimage 86, 446-460, 2014 | 673 | 2014 |
| MEG and EEG data analysis with MNE-Python A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ... Frontiers in neuroscience 7, 267, 2013 | 477 | 2013 |
| Assessing and tuning brain decoders: cross-validation, caveats, and guidelines G Varoquaux, PR Raamana, DA Engemann, A Hoyos-Idrobo, Y Schwartz, ... NeuroImage 145, 166-179, 2017 | 197 | 2017 |
| Segregation of the human medial prefrontal cortex in social cognition D Bzdok, R Langner, L Schilbach, DA Engemann, AR Laird, PT Fox, ... Frontiers in human neuroscience 7, 232, 2013 | 136 | 2013 |
| Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals DA Engemann, A Gramfort NeuroImage 108, 328-342, 2015 | 81 | 2015 |
| Autoreject: Automated artifact rejection for MEG and EEG data M Jas, DA Engemann, Y Bekhti, F Raimondo, A Gramfort NeuroImage 159, 417-429, 2017 | 53 | 2017 |
| Children's norm enforcement in their interactions with peers B Köymen, E Lieven, DA Engemann, H Rakoczy, F Warneken, ... Child Development 85 (3), 1108-1122, 2014 | 44 | 2014 |
| Robust EEG-based cross-site and cross-protocol classification of states of consciousness DA Engemann, F Raimondo, JR King, B Rohaut, G Louppe, F Faugeras, ... Brain 141 (11), 3179-3192, 2018 | 39 | 2018 |
| Games people play—toward an enactive view of cooperation in social neuroscience DA Engemann, D Bzdok, SB Eickhoff, K Vogeley, L Schilbach Frontiers in human neuroscience 6, 148, 2012 | 24 | 2012 |
| Survival and consciousness recovery are better in the minimally conscious state than in the vegetative state F Faugeras, B Rohaut, M Valente, J Sitt, S Demeret, F Bolgert, N Weiss, ... Brain injury 32 (1), 72-77, 2018 | 16 | 2018 |
| Neural detection of complex sound sequences or of statistical regularities in the absence of consciousness? L Naccache, JR King, J Sitt, D Engemann, I El Karoui, B Rohaut, ... Brain 138 (12), e395-e395, 2015 | 15 | 2015 |
| A reproducible MEG/EEG group study with the MNE software: recommendations, quality assessments, and good practices M Jas, E Larson, DA Engemann, J Leppäkangas, S Taulu, M Hämäläinen, ... Frontiers in neuroscience 12, 530, 2018 | 13* | 2018 |
| Reply: Replicability and impact of statistics in the detection of neural responses of consciousness L Naccache, J Sitt, JR King, B Rohaut, F Faugeras, S Chennu, M Strauss, ... Brain 139 (6), e31, 2016 | 13* | 2016 |
| Automated measurement and prediction of consciousness in vegetative and minimally conscious patients D Engemann, F Raimondo, JR King, M Jas, A Gramfort, S Dehaene, ... | 13 | 2015 |
| Brain–heart interactions reveal consciousness in noncommunicating patients F Raimondo, B Rohaut, A Demertzi, M Valente, DA Engemann, M Salti, ... Annals of neurology 82 (4), 578-591, 2017 | 12 | 2017 |
| Clustered marginalization of minorities during social transitions induced by co-evolution of behaviour and network structure CF Schleussner, JF Donges, DA Engemann, A Levermann Nature Scientific Reports 6, Article number: 30790, 2016 | 12 | 2016 |
| Mind the noise covariance when localizing brain sources with M/EEG D Engemann, D Strohmeier, E Larson, A Gramfort 2015 International Workshop on Pattern Recognition in NeuroImaging, 9-12, 2015 | 6 | 2015 |
| Automated rejection and repair of bad trials in MEG/EEG M Jas, D Engemann, F Raimondo, Y Bekhti, A Gramfort 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2016 | 5 | 2016 |
| Prediction and inference diverge in biomedicine: Simulations and real-world data D Bzdok, D Engemann, O Grisel, G Varoquaux, B Thirion | 4 | 2018 |
| Manifold-regression to predict from MEG/EEG brain signals without source modeling D Sabbagh, P Ablin, G Varoquaux, A Gramfort, DA Engemann arXiv preprint arXiv:1906.02687, 2019 | 2 | 2019 |
Alexandre GramfortINRIA, Univ. Paris-SaclayAdresse e-mail validée de inria.fr
