Mattia F. Pagnotta

Nested oscillations and brain connectivity during sequential stages of feature-based attention

David Pascucci, Mattia F. Pagnotta, Gijs Plomp, 2020, NeuroImage.

Assessing the performance of Granger–Geweke causality: Benchmark dataset and simulation framework

Mukesh Dhamala, Mattia F. Pagnotta, Gijs Plomp, 2018, Data in brief.

Brain activation profiles in mTBI: Evidence from combined resting-state EEG and MEG activity

Lianyang Li, Xianghong Arakaki, Thao Tran, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A regularized and smoothed General Linear Kalman Filter for more accurate estimation of time-varying directed connectivity*

David Pascucci, Mattia F. Pagnotta, Gijs Plomp, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Low frequency overactivation in dyslexia: Evidence from resting state Magnetoencephalography

Lianyang Li, George Zouridakis, Manuel Carreiras, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Benchmarking nonparametric Granger causality: Robustness against downsampling and influence of spectral decomposition parameters

Mukesh Dhamala, Gijs Plomp, Mattia F. Pagnotta, 2018, NeuroImage.

Nested oscillations and brain connectivity during sequential stages of feature-based attention

Gijs Plomp, David Pascucci, Mattia F. Pagnotta, 2020, NeuroImage.

Selective attention involves a feature-specific sequential release from inhibitory gating

Gijs Plomp, David Pascucci, Mattia F. Pagnotta, 2021, NeuroImage.

A guide for concurrent TMS-fMRI to investigate functional brain networks

Mattia F. Pagnotta, Jason M. Scimeca, M. D’Esposito, 2022, Frontiers in Human Neuroscience.

Time-varying MVAR algorithms for directed connectivity analysis: Critical comparison in simulations and benchmark EEG data

Mattia F. Pagnotta, Gijs Plomp, Mattia F Pagnotta, 2018, PloS one.

Multiplexed Levels of Cognitive Control through Delta and Theta Neural Oscillations

Mattia F. Pagnotta, Justin Riddle, Mark D’Esposito, 2024, Journal of Cognitive Neuroscience.

Alpha phase-coding supports feature binding during working memory maintenance

Kartik K. Sreenivasan, Mattia F. Pagnotta, A. Compte, 2024, bioRxiv.