User profiles for Matteo Fraschini
Matteo FraschiniUniversity of Cagliari Verified email at unica.it Cited by 1597 |
The effect of epoch length on estimated EEG functional connectivity and brain network organisation
M Fraschini, M Demuru, A Crobe… - Journal of neural …, 2016 - iopscience.iop.org
Objective. Graph theory and network science tools have revealed fundamental mechanisms
of functional brain organization in resting-state M/EEG analysis. Nevertheless, it is still not …
of functional brain organization in resting-state M/EEG analysis. Nevertheless, it is still not …
EEG fingerprinting: Subject-specific signature based on the aperiodic component of power spectrum
M Demuru, M Fraschini - Computers in Biology and Medicine, 2020 - Elsevier
… Author links open overlay panel Matteo Demuru a , Matteo Fraschini b … Matteo Demuru and
Matteo Fraschini conceived and designed the study, analyzed and contributed equally to the …
Matteo Fraschini conceived and designed the study, analyzed and contributed equally to the …
[HTML][HTML] A comparison between scalp-and source-reconstructed EEG networks
EEG can be used to characterise functional networks using a variety of connectivity (FC)
metrics. Unlike EEG source reconstruction, scalp analysis does not allow to make inferences …
metrics. Unlike EEG source reconstruction, scalp analysis does not allow to make inferences …
Robustness of functional connectivity metrics for EEG-based personal identification over task-induced intra-class and inter-class variations
Growing interest is devoted to understanding in which situations and with what accuracy
brain signals recorded from scalp electroencephalography (EEG) may represent unique …
brain signals recorded from scalp electroencephalography (EEG) may represent unique …
Clinical applications of EEG power spectra aperiodic component analysis: A mini-review
Objective The present mini-review summarizes recent clinical findings related to the analysis
of the aperiodic component of EEG (electroencephalographic) power spectra, making them …
of the aperiodic component of EEG (electroencephalographic) power spectra, making them …
An EEG-based biometric system using eigenvector centrality in resting state brain networks
Recently, there has been a growing interest in the use of brain activity for biometric systems.
However, so far these studies have focused mainly on basic features of the …
However, so far these studies have focused mainly on basic features of the …
VNS induced desynchronization in gamma bands correlates with positive clinical outcome in temporal lobe pharmacoresistant epilepsy
The vagus nerve stimulation (VNS) represents a diffuse non-pharmacological low-risk
surgical option for epilepsy treatment. The aim of this study is to investigate the correlation …
surgical option for epilepsy treatment. The aim of this study is to investigate the correlation …
A comparison between power spectral density and network metrics: an EEG study
… Matteo Fraschini was in part supported by Regione Autonoma della Sardegna research
project "Algorithms and Models for Imaging Science [AMIS]", FSC 2014-2020 - Patto per lo …
project "Algorithms and Models for Imaging Science [AMIS]", FSC 2014-2020 - Patto per lo …
“Physiological” renal regenerating medicine in VLBW preterm infants: could a dream come true?
…, T Congiu, M Piludu, M Piras, M Fraschini… - The Journal of …, 2012 - Taylor & Francis
An emerging hypothesis from the recent literature explain how specific adverse factors
related with growth retardation as well as of low birth weight (LBW) might influence renal …
related with growth retardation as well as of low birth weight (LBW) might influence renal …
[HTML][HTML] Wearable system based on ultra-thin Parylene C tattoo electrodes for EEG recording
In an increasingly interconnected world, where electronic devices permeate every aspect of
our lives, wearable systems aimed at monitoring physiological signals are rapidly taking …
our lives, wearable systems aimed at monitoring physiological signals are rapidly taking …