Mattia F. Pagnotta
Mattia F. Pagnotta
Postdoctoral Scholar, UC Berkeley
Verified email at - Homepage
Cited by
Cited by
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
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
Benchmarking nonparametric Granger causality: Robustness against downsampling and influence of spectral decomposition parameters
MF Pagnotta, M Dhamala, G Plomp
NeuroImage 183, 478-494, 2018
Nested oscillations and brain connectivity during sequential stages of feature-based attention
MF Pagnotta, D Pascucci, G Plomp
NeuroImage 223, 117354, 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
Selective attention involves a feature-specific sequential release from inhibitory gating
MF Pagnotta, D Pascucci, G Plomp
Neuroimage 246, 118782, 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
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
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
The Dynamic Reorganization of Cortical Network Interactions during Visual Selective Attention
M Pagnotta
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
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
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