Camillo Porcaro
Camillo Porcaro
Associate Professor, University of Padua
Verified email at
Cited by
Cited by
Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals
G Barbati, C Porcaro, F Zappasodi, PM Rossini, F Tecchio
Clinical Neurophysiology 115 (5), 1220-1232, 2004
Detecting large‐scale networks in the human brain using high‐density electroencephalography
Q Liu, S Farahibozorg, C Porcaro, N Wenderoth, D Mantini
Human brain mapping 38 (9), 4631-4643, 2017
Spontaneous EEG alpha oscillation interacts with positive and negative BOLD responses in the visual–auditory cortices and default-mode network
SD Mayhew, D Ostwald, C Porcaro, AP Bagshaw
Neuroimage 76, 362-372, 2013
Electroencephalographic fractal dimension in healthy ageing and Alzheimer’s disease
FM Smits, C Porcaro, C Cottone, A Cancelli, PM Rossini, F Tecchio
PloS one 11 (2), e0149587, 2016
An information theoretic approach to EEG–fMRI integration of visually evoked responses
D Ostwald, C Porcaro, AP Bagshaw
Neuroimage 49 (1), 498-516, 2010
Removing speech artifacts from electroencephalographic recordings during overt picture naming
C Porcaro, MT Medaglia, A Krott
NeuroImage 105, 171-180, 2015
Intrinsic variability in the human response to pain is assembled from multiple, dynamic brain processes
SD Mayhew, N Hylands-White, C Porcaro, SWG Derbyshire, AP Bagshaw
Neuroimage 75, 68-78, 2013
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface
F Mattioli, C Porcaro, G Baldassarre
Journal of Neural Engineering 18 (6), 066053, 2022
High-gamma band activity of primary hand cortical areas: a sensorimotor feedback efficiency index
F Tecchio, F Zappasodi, C Porcaro, G Barbati, G Assenza, C Salustri, ...
Neuroimage 40 (1), 256-264, 2008
Cortical short-term fatigue effects assessed via rhythmic brain–muscle coherence
F Tecchio, C Porcaro, F Zappasodi, A Pesenti, M Ercolani, PM Rossini
Experimental brain research 174, 144-151, 2006
Personalized, bilateral whole-body somatosensory cortex stimulation to relieve fatigue in multiple sclerosis
A Cancelli, C Cottone, A Giordani, S Migliore, D Lupoi, C Porcaro, ...
Multiple Sclerosis Journal 24 (10), 1366-1374, 2018
Brain plasticity effects of neuromodulation against multiple sclerosis fatigue
F Tecchio, A Cancelli, C Cottone, R Ferrucci, M Vergari, G Zito, ...
Frontiers in neurology 6, 141, 2015
Multimodal functional network connectivity: an EEG-fMRI fusion in network space
X Lei, D Ostwald, J Hu, C Qiu, C Porcaro, AP Bagshaw, D Yao
PloS one 6 (9), e24642, 2011
Hand somatosensory subcortical and cortical sources assessed by functional source separation: an EEG study
C Porcaro, G Coppola, G Di Lorenzo, F Zappasodi, A Siracusano, ...
Human brain mapping 30 (2), 660-674, 2009
Hybrid deep learning (hDL)-based brain-computer interface (BCI) systems: a systematic review
NA Alzahab, L Apollonio, A Di Iorio, M Alshalak, S Iarlori, F Ferracuti, ...
Brain sciences 11 (1), 75, 2021
Fetal auditory responses to external sounds and mother's heart beat: Detection improved by Independent Component Analysis
C Porcaro, F Zappasodi, G Barbati, C Salustri, V Pizzella, PM Rossini, ...
Brain research 1101 (1), 51-58, 2006
Cortico-muscular coherence as an index of fatigue in multiple sclerosis
L Tomasevic, G Zito, P Pasqualetti, MM Filippi, D Landi, A Ghazaryan, ...
Multiple Sclerosis Journal 19 (3), 334-343, 2013
Functional source separation from magnetoencephalographic signals
G Barbati, R Sigismondi, F Zappasodi, C Porcaro, S Graziadio, G Valente, ...
Human brain mapping 27 (12), 925-934, 2006
Choice of multivariate autoregressive model order affecting real network functional connectivity estimate
C Porcaro, F Zappasodi, PM Rossini, F Tecchio
Clinical Neurophysiology 120 (2), 436-448, 2009
Functional source separation and hand cortical representation for a brain–computer interface feature extraction
F Tecchio, C Porcaro, G Barbati, F Zappasodi
The Journal of physiology 580 (3), 703-721, 2007
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