F
Febo Cincotti
Researcher at Sapienza University of Rome
Publications - 303
Citations - 12379
Febo Cincotti is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Electroencephalography & Brain–computer interface. The author has an hindex of 61, co-authored 291 publications receiving 11187 citations.
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Journal ArticleDOI
Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.
José del R. Millán,Rüdiger Rupp,Gernot Müller-Putz,Rod Murray-Smith,Claudio Giugliemma,Michael Tangermann,Carmen Vidaurre,Febo Cincotti,Andrea Kübler,Robert Leeb,Christa Neuper,Klaus-Robert Müller,Donatella Mattia +12 more
TL;DR: This paper focuses on the prospect of improving the lives of countless disabled individuals through a combination of BCI technology with existing assistive technologies (AT) and identifies four application areas where disabled individuals could greatly benefit from advancements inBCI technology, namely, “Communication and Control”, ‘Motor Substitution’, ”Entertainment” and “Motor Recovery”.
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Brain–computer interface boosts motor imagery practice during stroke recovery
Floriana Pichiorri,Giovanni Morone,Manuela Petti,Jlenia Toppi,Iolanda Pisotta,Marco Molinari,Stefano Paolucci,Maurizio Inghilleri,Laura Astolfi,Febo Cincotti,Donatella Mattia +10 more
TL;DR: Brain–computer interfaces (BCIs) can provide instantaneous and quantitative measure of cerebral functions modulated by MI, and the efficacy of BCI‐monitored MI practice as add‐on intervention to usual rehabilitation care was evaluated in subacute stroke patients.
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Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function.
Fabio Babiloni,Febo Cincotti,Claudio Babiloni,Filippo Carducci,Donatella Mattia,Laura Astolfi,A. Basilisco,Paolo Maria Rossini,Lei Ding,Ying Ni,J. Cheng,K. Christine,John A. Sweeney,Bin He +13 more
TL;DR: Advanced methods for the estimation of cortical connectivity from combined high-resolution electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data are presented and an involvement of right parietal and bilateral premotor and prefrontal cortical areas is revealed.
Journal ArticleDOI
Human Movement-Related Potentials vs Desynchronization of EEG Alpha Rhythm: A High-Resolution EEG Study
Claudio Babiloni,Filippo Carducci,Febo Cincotti,Paolo Maria Rossini,Christa Neuper,Gert Pfurtscheller,Fabio Babiloni +6 more
TL;DR: The results may suggest that alpha ERD reflects changes in the background oscillatory activity in wide cortical sensorimotor areas, whereas MRPs represent mainly increased, task-specific responses of SMA and contralateral M1-S1.
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.