CROCE, PIERPAOLO ARTURO

CROCE, PIERPAOLO ARTURO  

DIPARTIMENTO DI NEUROSCIENZE, IMAGING E SCIENZE CLINICHE  

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Automated detection and removal of cardiac and pulse interferences from neonatal eeg signals 2021 Tamburro, G.; Croce, P.; Zappasodi, F.; Comani, S.
Autonomic impairment in Alzheimer's disease is revealed by complexity analysis of functional thermal imaging signals during cognitive tasks 2019 Perpetuini, D.; Cardone, D.; Chiarelli, A. M.; Filippini, C.; Croce, P.; Zappasodi, F.; Rotunno, L.; Anzoletti, N.; Zito, M.; Merla, A.
Brain electrical microstate features as biomarkers of a stable motor output 2022 Croce, PIERPAOLO ARTURO; Tecchio, Franca; Tamburro, Gabriella; Fiedler, Patrique; Comani, Silvia; Zappasodi, Filippo
Characterization of the Functional Dynamics in the Neonatal Brain during REM and NREM Sleep States by means of Microstate Analysis 2021 Khazaei, M.; Raeisi, K.; Croce, P.; Tamburro, G.; Tokariev, A.; Vanhatalo, S.; Zappasodi, F.; Comani, S.
Circadian rhythms in Fractal Features of EEG signals 2018 Croce, Pierpaolo; Quercia, Angelica; Costa, Sergio; Zappasodi, Filippo
Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings 2019 Croce, Pierpaolo; Zappasodi, Filippo; Marzetti, Laura; Merla, Arcangelo; Pizzella, Vittorio; Chiarelli, Antonio Maria
Deep learning for hybrid EEG-fNIRS brain-computer interface: application to motor imagery classification 2018 Chiarelli, Am; Croce, P; Merla, A; Zappasodi, F
EEG microstates associated with intra- and inter-subject alpha variability 2020 Croce, P.; Quercia, A.; Costa, S.; Zappasodi, F.
EEG microstates distinguish between cognitive components of fluid reasoning 2019 Zappasodi, Filippo; Perrucci, Mauro Gianni; Saggino, Aristide; Croce, Pierpaolo; Mercuri, Pasqua; Romanelli, Roberta; Colom, Roberto; Ebisch, Sjoerd J.
EEG-fMRI Bayesian framework for neural activity estimation: A simulation study 2016 Croce, Pierpaolo; Basti, Alessio; Marzetti, Laura; Zappasodi, Filippo; DEL GRATTA, Cosimo
Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke through Machine Learning Approaches 2020 Chiarelli, A. M.; Croce, P.; Assenza, G.; Merla, A.; Granata, G.; Giannantoni, N. M.; Pizzella, V.; Tecchio, F.; Zappasodi, F.
Euthymic bipolar disorder patients and EEG microstates: a neural signature of their abnormal self experience? 2020 Vellante, Federica; Ferri, Francesca; Baroni, Gaia; Croce, PIERPAOLO ARTURO; Migliorati, Daniele; Pettorruso, Mauro; DE BERARDIS, Domenico; Martinotti, Giovanni; Zappasodi, Filippo; DI GIANNANTONIO, Massimo
Evidence of neurovascular un-coupling in mild alzheimer’s disease through multimodal eeg-fnirs and multivariate analysis of resting-state data 2021 Chiarelli, A. M.; Perpetuini, D.; Croce, P.; Filippini, C.; Cardone, D.; Rotunno, L.; Anzoletti, N.; Zito, M.; Zappasodi, F.; Merla, A.
Exploiting neurovascular coupling: a Bayesian sequential Monte Carlo approach applied to simulated EEG fNIRS data 2017 Croce, Pierpaolo; Zappasodi, Filippo; Merla, Arcangelo; Chiarelli, ANTONIO MARIA
Exploring brain activity for positive and negative emotions by means of EEG microstates 2022 Prete, Giulia; Croce, Pierpaolo; Zappasodi, Filippo; Tommasi, Luca; Capotosto, Paolo
Fiberless, multi-channel fNIRS-EEG system based on silicon photomultipliers: Towards sensitive and ecological mapping of brain activity and neurovascular coupling 2020 Chiarelli, A. M.; Perpetuini, D.; Croce, P.; Greco, G.; Mistretta, L.; Rizzo, R.; Vinciguerra, V.; Romeo, M. F.; Zappasodi, F.; Merla, A.; Fallica, P. G.; Edlinger, G.; Ortner, R.; Giaconia, G. C.
A Graph Convolutional Neural Network for the automated detection of seizures in the neonatal EEG 2022 RAEISI NAFCHI, Khadijeh; Khazaei, Mohammad; Croce, PIERPAOLO ARTURO; Tamburro, Gabriella; Comani, Silvia; Zappasodi, Filippo
Hilbert spectral analysis of EEG data reveals spectral dynamics associated with microstates 2019 Javed, E.; Croce, P.; Zappasodi, F.; Gratta, C. D.
Inhibition of return in time-lapse: Brain Rhythms during grip force control for spatial attention 2021 Zappasodi, F.; Croce, P.; Di Matteo, R.; Brunetti, M.
Is Brain Dynamics Preserved in the EEG After Automated Artifact Removal? A Validation of the Fingerprint Method and the Automatic Removal of Cardiac Interference Approach Based on Microstate Analysis 2021 Tamburro, Gabriella; Croce, PIERPAOLO ARTURO; Zappasodi, Filippo; Comani, Silvia