F De Vico Fallani
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Explore the profile of F De Vico Fallani including associated specialties, affiliations and a list of published articles.
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40
Citations
509
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Recent Articles
1.
Corsi M, Chavez M, Schwartz D, George N, Hugueville L, Kahn A, et al.
J Neural Eng
. 2021 Mar;
18(5).
PMID: 33725682
Brain-computer interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive closed-loop systems remains a learned skill that is difficult to develop for a non-negligible proportion of...
2.
Martinez J, Buldu J, Papo D, De Vico Fallani F, Chavez M
Sci Rep
. 2018 Jul;
8(1):10246.
PMID: 29980771
Today the human brain can be modeled as a graph where nodes represent different regions and links stand for statistical interactions between their activities as recorded by different neuroimaging techniques....
3.
Chavez M, Grosselin F, Bussalb A, De Vico Fallani F, Navarro-Sune X
IEEE Trans Neural Syst Rehabil Eng
. 2018 Mar;
26(3):540-550.
PMID: 29522398
Objective: the recent emergence and success of electroencephalography (EEG) in low-cost portable devices, has opened the door to a new generation of applications processing a small number of EEG channels...
4.
Guillon J, Attal Y, Colliot O, La Corte V, Dubois B, Schwartz D, et al.
Sci Rep
. 2017 Sep;
7(1):10879.
PMID: 28883408
Alzheimer's disease (AD) causes alterations of brain network structure and function. The latter consists of connectivity changes between oscillatory processes at different frequency channels. We proposed a multi-layer network approach...
5.
Navarro-Sune X, Hudson A, De Vico Fallani F, Martinerie J, Witon A, Pouget P, et al.
IEEE Trans Biomed Eng
. 2017 Jan;
64(5):1138-1148.
PMID: 28129143
Goal: During mechanical ventilation, patient-ventilator disharmony is frequently observed and may result in increased breathing effort, compromising the patient's comfort and recovery. This circumstance requires clinical intervention and becomes challenging...
6.
Rocca D, Campisi P, Vegso B, Cserti P, Kozmann G, Babiloni F, et al.
IEEE Trans Biomed Eng
. 2014 Apr;
61(9):2406-2412.
PMID: 24759981
The use of EEG biometrics, for the purpose of automatic people recognition, has received increasing attention in the recent years. Most of the current analyses rely on the extraction of...
7.
Toppi J, De Vico Fallani F, Petti M, Vecchiato G, Maglione A, Cincotti F, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2013 Oct;
2013:2932-5.
PMID: 24110341
Graph theory is a powerful mathematical tool recently introduced in neuroscience field for quantitatively describing the main properties of investigated connectivity networks. Despite the technical advancements provided in the last...
8.
Toppi J, Babiloni F, Vecchiato G, De Vico Fallani F, Mattia D, Salinari S, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2013 Feb;
2012:6192-5.
PMID: 23367343
One of the main limitations of the brain functional connectivity estimation methods based on Autoregressive Modeling, like the Granger Causality family of estimators, is the hypothesis that only stationary signals...
9.
Cincotti F, Pichiorri F, Arico P, Aloise F, Leotta F, De Vico Fallani F, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2013 Feb;
2012:4112-5.
PMID: 23366832
Brain-Computer Interfaces (BCIs) process brain activity in real time, and mediate non-muscular interaction between and individual and the environment. The subserving algorithms can be used to provide a quantitative measurement...
10.
Toppi J, Petti M, De Vico Fallani F, Vecchiato G, Maglione A, Cincotti F, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2013 Feb;
2012:2547-50.
PMID: 23366444
The "Default Mode Network" concept was defined, in fMRI field, as a consistent pattern, involving some regions of the brain, which is active during resting state activity and deactivates during...