PUBLICATIONS
For an up-to-date list of my publications, please refer to:
Publications in scientific journals
Pagnotta, M. F., Riddle, J., & D'Esposito, M. (2024). Multiplexed Levels of Cognitive Control through Delta and Theta Neural Oscillations. Journal of Cognitive Neuroscience, 1-20.
Riddle, J., Scimeca, J. M., Pagnotta, M. F., Inglis, B., Sheltraw, D., Muse-Fisher, C., & D'Esposito, M. (2022). A guide for concurrent TMS-fMRI to investigate functional brain networks. Frontiers in human neuroscience, 16, 1050605.
Pagnotta, M. F., Pascucci, D., & Plomp, G. (2022). Selective attention involves a feature-specific sequential release from inhibitory gating. NeuroImage, 246, 118782.
Pagnotta, M. F., Pascucci, D., & Plomp, G. (2020). Nested oscillations and brain connectivity during sequential stages of feature-based attention. NeuroImage, 223, 117354.
Pagnotta, M. F., Dhamala, M., & Plomp, G. (2018). Assessing the performance of Granger–Geweke causality: Benchmark dataset and simulation framework. Data in brief, 21, 833-851.
Pagnotta, M. F., Dhamala, M., & Plomp, G. (2018). Benchmarking nonparametric Granger causality: Robustness against downsampling and influence of spectral decomposition parameters. NeuroImage, 183, 478-494.
Pagnotta, M. F., & Plomp, G. (2018). Time-varying MVAR algorithms for directed connectivity analysis: Critical comparison in simulations and benchmark EEG data. PLOS ONE, 13(6), e0198846.
Books/monographs
Pagnotta, M. F. (2020). The Dynamic Reorganization of Cortical Network Interactions during Visual Selective Attention. (doctoral thesis)
Peer-reviewed conference proceedings
Pagnotta, M. F., Plomp, G., & Pascucci, D. (2019). A regularized and smoothed General Linear Kalman Filter for more accurate estimation of time-varying directed connectivity. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE.
Pagnotta, M. F., Zouridakis, G., Li, L., Lizarazu, M., Lallier, M., Molinaro, N., & Carreiras, M. (2015). Low frequency overactivation in dyslexia: Evidence from resting state Magnetoencephalography. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 6959-6962). IEEE.
Li, L., Pagnotta, M. F., Arakaki, X., Tran, T., Strickland, D., Harrington, M., & Zouridakis, G. (2015). Brain activation profiles in mTBI: Evidence from combined resting-state EEG and MEG activity. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 6963-6966). IEEE.
Unpublished work
Pagnotta, M. F., Santo-Angles, A., Temudo, A., Barbosa, J., Compte, A., D'Esposito, M., & Sreenivasan, K. K. (2024). Alpha phase-coding supports feature binding during working memory maintenance. bioRxiv, 2024-01.