Donatella Mattia

Prof. Donatella Mattia


Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2014 in Neuroscience & Biobehavioral Reviews
Verified
Journal Article
Closed access
Gianluca BorghiniGianluca Borghini
Gianluca Borghini
LALaura Astolfi
Laura Astolfi
GVGiovanni Vecchiato
Giovanni Vecchiato
DMDonatella Mattia
Donatella Mattia
Fabio BabiloniFabio Babiloni
Fabio Babiloni

23 February 2015 in Annals of Neurology
Verified
Journal Article
Closed access
PDF file
Floriana PichiorriFloriana Pichiorri
Floriana Pichiorri
Giovanni MoroneGiovanni Morone
Giovanni Morone
MPManuela Petti
Manuela Petti
JTJlenia Toppi
Jlenia Toppi
IPIolanda Pisotta
Iolanda Pisotta
DMDonatella Mattia
Donatella Mattia

1 January 2010 in Frontiers in Neuroscience
Verified
Journal Article
Open access
PDF file
JMJosé del R. Millán
José del R. Millán
RRR. Rupp
R. Rupp
GMGernot R. Müller-Putz
Gernot R. Müller-Putz
RMRoderick Murray-Smith
Roderick Murray-Smith
CGC. Giugliemma
C. Giugliemma
DMDonatella Mattia
Donatella Mattia
In recent years, new research has brought the field of electroencephalogram (EEG)-based brain–computer interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, and computer games. With this proof-of-concept phase in the past, the time is now ripe to focus on the development of practical BCI technologies that can be brought out of the lab and into real-world applications. In particular, we focus on the prospect of improving the lives of countless disabled individuals through a combination of BCI technology with existing assistive technologies (AT). In pursuit of more practical BCIs for use outside of the lab, in this paper, we identify four application areas where disabled individuals could greatly benefit from advancements in BCI technology, namely, “Communication and Control”, “Motor Substitution”, “Entertainment”, and “Motor Recovery”. We review the current state of the art and possible future developments, while discussing the main research issues in these four areas. In particular, we expect the most progress in the development of technologies such as hybrid BCI architectures, user–machine adaptation algorithms, the exploitation of users’ mental states for BCI reliability and confidence measures, the incorporation of principles in human–computer interaction (HCI) to improve BCI usability, and the development of novel BCI technology including better EEG devices.


7 June 2006 in Human Brain Mapping
Verified
Journal Article
Closed access
PDF file
LALaura Astolfi
Laura Astolfi
FCFebo Cincotti
Febo Cincotti
DMDonatella Mattia
Donatella Mattia
MMM. Grazia Marciani
M. Grazia Marciani
LBLuiz Antonio Baccala
Luiz Antonio Baccala
Fabio BabiloniFabio Babiloni
Fabio Babiloni

1 April 2008 in Brain Research Bulletin
Verified
Journal Article
Closed access
FCFebo Cincotti
Febo Cincotti
DMDonatella Mattia
Donatella Mattia
FAFabio Aloise
Fabio Aloise
SBSimona Bufalari
Simona Bufalari
GSGerwin Schalk
Gerwin Schalk
Fabio BabiloniFabio Babiloni
Fabio Babiloni