| Time-varying MVAR algorithms for directed connectivity analysis: Critical comparison in simulations and benchmark EEG data MF Pagnotta, G Plomp PloS one 13 (6), e0198846, 2018 | 45 | 2018 |
| Brain activation profiles in mTBI: Evidence from combined resting-state EEG and MEG activity L Li, MF Pagnotta, X Arakaki, T Tran, D Strickland, M Harrington, ... 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 27 | 2015 |
| Benchmarking nonparametric Granger causality: Robustness against downsampling and influence of spectral decomposition parameters MF Pagnotta, M Dhamala, G Plomp NeuroImage 183, 478-494, 2018 | 24 | 2018 |
| Nested oscillations and brain connectivity during sequential stages of feature-based attention MF Pagnotta, D Pascucci, G Plomp NeuroImage 223, 117354, 2020 | 18 | 2020 |
| Low frequency overactivation in dyslexia: Evidence from resting state Magnetoencephalography MF Pagnotta, G Zouridakis, L Li, M Lizarazu, M Lallier, N Molinaro, ... 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 11 | 2015 |
| Selective attention involves a feature-specific sequential release from inhibitory gating MF Pagnotta, D Pascucci, G Plomp Neuroimage 246, 118782, 2022 | 9 | 2022 |
| A regularized and smoothed General Linear Kalman Filter for more accurate estimation of time-varying directed connectivity* MF Pagnotta, G Plomp, D Pascucci 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 9 | 2019 |
| Assessing the performance of Granger–Geweke causality: Benchmark dataset and simulation framework MF Pagnotta, M Dhamala, G Plomp Data in brief 21, 833-851, 2018 | 8 | 2018 |
| A guide for concurrent TMS-fMRI to investigate functional brain networks J Riddle, JM Scimeca, MF Pagnotta, B Inglis, D Sheltraw, C Muse-Fisher, ... Frontiers in Human Neuroscience 16, 1050605, 2022 | 4 | 2022 |
| The Dynamic Reorganization of Cortical Network Interactions during Visual Selective Attention M Pagnotta | 3 | 2020 |
| Multiplexed Levels of Cognitive Control through Delta and Theta Neural Oscillations MF Pagnotta, J Riddle, M D'Esposito Journal of Cognitive Neuroscience 36 (5), 916-935, 2024 | | 2024 |
| Alpha phase-coding supports feature binding during working memory maintenance MF Pagnotta, A Santo-Angles, A Temudo, J Barbosa, A Compte, ... bioRxiv, 2024.01. 21.576561, 2024 | | 2024 |
