Unimodal versus bimodal EEG-fMRI neurofeedback of a motor imagery task L Perronnet, A Lécuyer, M Mano, E Bannier, F Lotte, M Clerc, C Barillot Frontiers in Human Neuroscience 11, 193, 2017 | 83 | 2017 |
How to build a hybrid neurofeedback platform combining EEG and fMRI M Mano, A Lécuyer, E Bannier, L Perronnet, S Noorzadeh, C Barillot Frontiers in neuroscience 11, 140, 2017 | 63 | 2017 |
Simultaneous EEG-fMRI during a neurofeedback task, a brain imaging dataset for multimodal data integration G Lioi, C Cury, L Perronnet, M Mano, E Bannier, A Lécuyer, C Barillot Scientific data 7 (1), 173, 2020 | 28 | 2020 |
Learning 2-in-1: towards integrated EEG-fMRI-neurofeedback L Perronnet, A Lécuyer, M Mano, M Fleury, G Lioi, C Cury, M Clerc, ... BioRxiv, 397729, 2018 | 19 | 2018 |
Brain training with neurofeedback L Perronnet, A Lécuyer, F Lotte, M Clerc, C Barillot Brain–Computer Interfaces 1: Foundations and Methods, 271-292, 2016 | 17 | 2016 |
Simultaneous MRI-EEG during a motor imagery neurofeedback task: an open access brain imaging dataset for multi-modal data integration G Lioi, C Cury, L Perronnet, M Mano, E Bannier, A Lécuyer, C Barillot bioRxiv, 862375, 2019 | 11 | 2019 |
An automated workflow for the anatomo-functional mapping of the barrel cortex L Perronnet, ME Vilarchao, G Hucher, DE Shulz, G Peyré, I Ferezou Journal of Neuroscience Methods 263, 145-154, 2016 | 9 | 2016 |
Brain-computer interfaces 1: Foundations and methods L Perronnet, A Lécuyer, F Lotte, M Clerc, C Barillot Brain-Computer Interfaces 1: Foundations and Methods, 2016 | 7 | 2016 |
A graph-based similarity approach to classify recurrent complex motifs from their context in RNA structures C Gianfrotta, V Reinharz, D Barth, A Denise 19th Symposium on Experimental Algorithms, 2021 | 5 | 2021 |
Which factors drive successful BCI skill learning? C Mühl, R Scherer, A Lécuyer, L Perronnet, M Grosse-Wentrup, F Lotte 6th International BCI conference, 2014 | 4 | 2014 |
Combining EEG and FMRI for Neurofeedback L Perronnet University of Rennes I, 2017 | 3 | 2017 |
Impact of 1d and 2d visualisation on eeg-fmri neurofeedback training during a motor imagery task C Cury, G Lioi, L Perronnet, A Lécuyer, P Maurel, C Barillot 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1018-1021, 2020 | 2 | 2020 |
On the feasibility and specificity of simultaneous EEG and ASL MRI at 3T E Bannier, M Mano, S Robert, I Corouge, L Perronnet, J Lindgren, ... Proceedings of ISMRM, 2015 | 2 | 2015 |
Hybrid EEG and fMRI platform for multi-modal neurofeedback M Mano, E Bannier, L Perronnet, A Lécuyer, C Barillot International Society of Magnetic Resonance in Medicine, 4550, 2017 | 1 | 2017 |
Combinaison de L'électroencéphalographie Et de L'imagerie Par Résonance Magnétique Fonctionnelle Pour Le Neurofeedback L Perronnet | 1 | 2017 |
Design of an Experimental Platform for Hybrid EEG-fMRI Neurofeedback Studies M Mano, E Bannier, L Perronnet, A Lécuyer, C Barillot 22nd Annual Meeting of the Organization for Human Brain Mapping (OHBM 2016), 2016 | 1 | 2016 |
Combining electroencephalography and functional magnetic resonance imaging for neurofeedback L Perronnet Université de Rennes, 2017 | | 2017 |
Combinaison de l'électroencéphalographie et de l'imagerie par résonance magnétique fonctionnelle pour le neurofeedback| Theses. fr L Perronnet Rennes 1, 2017 | | 2017 |
EEG-fMRI neurofeedback of a motor imagery task L Perronnet, A Lécuyer, M Mano, E Bannier, F Lotte, M Clerc, C Barillot Organization for Human Brain Mapping, 2016 | | 2016 |
Hybrid Eeg-MrI and Simultaneous neuro-feedback for brain Rehabilitation M Mano, L Perronnet, A Lécuyer, C Barillot | | 2016 |