F
Fabrizio De Vico Fallani
Researcher at French Institute for Research in Computer Science and Automation
Publications - 113
Citations - 4019
Fabrizio De Vico Fallani is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Electroencephalography & Brain–computer interface. The author has an hindex of 28, co-authored 100 publications receiving 3286 citations. Previous affiliations of Fabrizio De Vico Fallani include Centre national de la recherche scientifique & ICM Partners.
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Journal ArticleDOI
Comparison of different cortical connectivity estimators for high-resolution EEG recordings.
Laura Astolfi,Febo Cincotti,Donatella Mattia,M. Grazia Marciani,Luiz A. Baccalá,Fabrizio De Vico Fallani,Serenella Salinari,Mauro Ursino,Melissa Zavaglia,Lei Ding,J. Christopher Edgar,Gregory A. Miller,Bin He,Fabio Babiloni +13 more
TL;DR: Functional connectivity patterns of cortical activity can be effectively estimated under general conditions met in most EEG recordings by combining high‐resolution EEG techniques, linear inverse estimation of the cortical activity, and frequency domain multivariate methods such as PDC, DTF, and dDTF.
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Graph analysis of functional brain networks: practical issues in translational neuroscience
TL;DR: In this paper, a review of the use of graph analysis in translational neuroscience has been presented, which provides practical indications to make sense of brain network analysis and contrast counterproductive attitudes.
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Spectral EEG frontal asymmetries correlate with the experienced pleasantness of TV commercial advertisements.
Giovanni Vecchiato,Jlenia Toppi,Laura Astolfi,Fabrizio De Vico Fallani,Febo Cincotti,Donatella Mattia,Francesco Bez,Fabio Babiloni +7 more
TL;DR: A correlation analysis revealed that the increase of PSD at left frontal sites is negatively correlated with the degree of pleasantness perceived, and the de-synchronization of left alpha frontal activity is positively correlated with judgments of high pleasantness.
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Human Brain Distinctiveness Based on EEG Spectral Coherence Connectivity
Daria La Rocca,Patrizio Campisi,Balazs Vegso,Péter Cserti,György Kozmann,Fabio Babiloni,Fabrizio De Vico Fallani +6 more
TL;DR: A novel approach that fuses spectral coherence-based connectivity between different brain regions as a possibly viable biometric feature is proposed and it is suggested that the functional connectivity patterns represent effective features for improving EEG-based biometric systems.
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On the use of EEG or MEG brain imaging tools in neuromarketing research
Giovanni Vecchiato,Laura Astolfi,Fabrizio De Vico Fallani,Jlenia Toppi,Fabio Aloise,Francesco Bez,Daming Wei,Wanzeng Kong,Jounging Dai,Febo Cincotti,Donatella Mattia,Fabio Babiloni +11 more
TL;DR: It is noted that temporal and frequency patterns of brain signals are able to provide possible descriptors conveying information about the cognitive and emotional processes in subjects observing commercial advertisements that could be unobtainable through common tools used in standard marketing research.