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 | 421 | 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 | 46 | 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 | 20 | 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 | 10 | 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 | 3 | 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, 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 |