| Machine learning–XGBoost analysis of language networks to classify patients with epilepsy L Torlay, M Perrone-Bertolotti, E Thomas, M Baciu Brain informatics 4, 159-169, 2017 | 479 | 2017 |
| Hubs disruption in mesial temporal lobe epilepsy. A resting‐state fMRI study on a language‐and‐memory network E Roger, C Pichat, L Torlay, O David, F Renard, S Banjac, A Attyé, ... Human brain mapping 41 (3), 779-796, 2020 | 59 | 2020 |
| A machine learning approach to explore cognitive signatures in patients with temporo-mesial epilepsy E Roger, L Torlay, J Gardette, C Mosca, S Banjac, L Minotti, P Kahane, ... Neuropsychologia 142, 107455, 2020 | 21 | 2020 |
| Hippocampal activity during memory and visual perception: The role of representational content J Gardette, E Cousin, J Bourgin, L Torlay, C Pichat, O Moreaud, P Hot Cortex 157, 14-29, 2022 | 15 | 2022 |
| Prediction of the clinical and naming status after anterior temporal lobe resection in patients with epilepsy E Roger, L Torlay, S Banjac, C Mosca, L Minotti, P Kahane, M Baciu Epilepsy & Behavior 124, 108357, 2021 | 4 | 2021 |
| New insights for predicting surgery outcome in patients with temporal lobe epilepsy. A systematic review M Baciu, L O'Sullivan, L Torlay, S Banjac Revue Neurologique 179 (6), 607-629, 2023 | 2 | 2023 |
| Modulation of visually induced self-motion illusions by α transcranial electric stimulation over the superior parietal cortex S Harquel, C Cian, L Torlay, E Cousin, PA Barraud, T Bougerol, ... Journal of Cognitive Neuroscience 36 (1), 143-154, 2024 | | 2024 |
Monica BaciuLaboratoire de Psychologie et Neurocognition LPNC UMR CNRS 5105 Grenoble, Université Grenoble AlpesVerified email at univ-grenoble-alpes.fr
