BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2// METHOD:PUBLISH X-WR-CALNAME;VALUE=TEXT:Eventi DIAG BEGIN:VTIMEZONE TZID:Europe/Paris BEGIN:STANDARD DTSTART:20211031T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET END:STANDARD BEGIN:DAYLIGHT DTSTART:20220327T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:calendar.24095.field_data.0@www.u-gov-ricerca.uniroma1.it DTSTAMP:20260406T010647Z CREATED:20220321T174319Z DESCRIPTION:In ottemperanza ai requisiti previsti dalla procedura valutativ a ai fini della chiamata a Professore di II Fascia ai sensi dell'art.24 c. 5 L. 240/2010 per il Settore Concorsuale 09/G2 – Settore Scientifico Disci plinare ING-INF/06 presso il Dipartimento di Ingegneria informatica\, auto matica e gestionale Antonio Ruberti\,  venerdì 25 marzo 2022 alle ore 12:0 0\,  si terrà il seminario pubblico di Jlenia Toppi sulle sue attività di ricerca\, in modalità mista: presso l'Aula A6 del DIAG in collegamento Zoo m (ID: 871 9335 8590\, Passcode: 008272)  TitoloAdvances in EEG-based brai n networks estimation: from clinical applications to social neuroscience A bstractCognitive neuroscience studies the biological processes that underl ie human cognition\, especially regarding the relation between brain struc tures\, activity\, and cognitive functions. Its purpose is to determine ho w the brain functions and achieves performance. Cognitive neuroscience see ks to understand the nature of the information processing by which the bra in produces the observed behavior. Technologies that measure brain activit y\, like functional neuroimaging\, can provide insight into behavioral obs ervations when behavioral data are insufficient. In this context\, the tal k has the main objective to describe the methodological framework for conn ectivity estimation developed in the last 15 years as support to cognitive neuroscience in the comprehension of neural phenomena and brain networks at the basis of human cognition. An overview of how the recent methodologi cal advancements in EEG-based connectivity field have overcome its most re strictive pitfalls will be given. Such advancements have allowed to employ methodologies for brain connectivity estimation as tool to be used in sev eral applications aiming at the comprehension of cognitive or social human behaviors or at the description of pathological neural mechanisms at the basis of severe neurological diseases (stroke\, disorders of consciousness \, multiple sclerosis). BiosketchJlenia Toppi received her M.Sc. Degree in Biomedical Engineering from Sapienza University of Rome in 2009 and her P hD in Biomedical Engineering from University of Bologna Alma Mater Studior um in 2013. She is currently involved in a tenure-track position at the De partment of Computer\, Control and Management Engineering\, Sapienza Unive rsity of Rome since 2019. In the framework of a bilateral agreement betwee n her Department and Fondazione Santa Lucia\, an Institute of Hospitalizat ion and Scientific Care\, she spend part of her research activity in the l atter institution\, specialized in Neurorehabilitation. Her research inter ests include the development and implementation of new approaches for biom edical signal processing\, with a special focus on neuroelectrical data (E lectroencephalography\, EEG) with the aim to reconstruct the brain circuit s at the basis of cognitive processes and social cognition in healthy and pathological conditions. She participated in several national and internat ional research projects\, also as Principal Investigator\, funded by the I talian Ministry of Education\, Italian Ministry of Health\, 7th Framework Program and Horizon 2020 of the European Commission. She serves as reviewe r for several peer-review journals\, she is the Associate Editor for Front iers in Human Neuroscience and Computational and Mathematical Methods in M edicine journals. DTSTART;TZID=Europe/Paris:20220325T120000 DTEND;TZID=Europe/Paris:20220325T120000 LAST-MODIFIED:20220321T184119Z LOCATION:Aula A6 + Zoom SUMMARY:Seminario pubblico di Jlenia Toppi - \n\n\n \n \n\n \n\n\nJlen ia\n\n\nToppi \n\n \n\n \n\n\n\n\n\nProfessore Associato\n\n\npagina personale\n\nstanza: \n\nA217\n\ntelefono: \n\n+39 0677274041 \n\n \n\n \n\nBiografia: \n\n\n\nJlenia Toppi received her Bachelor Degree in Cli nical Engineering (summa cum laude) in 2006 and her Master Degree in Biome dical Engineering (summa con laude) in 2009\, both from University of Rome “Sapienza”. In 2013\, she received her PhD in Biomedical Engineering (wit h honors) from University of Bologna “Alma Mater Studiorum”. She is associ ate professor at the Department of Computer\, Control and Management Engin eering\, Sapienza University of Rome. Since 2010 she carries on research a ctivity on healthy and pathological individuals at Neuroelectrical Imaging and Brain Computer Interface Laboratory\, IRCCS Fondazione Santa Lucia\, Rome (Italy). She participated in several national and international resea rch projects\, funded by the Italian Ministry of Education\, 7th Framework Program and Horizon 2020 of the European Commission. She is Editor of the Computation and Mathematical Methods in Medicine. She serves as reviewer for several peer-review journals. Her research interests include the devel opment and implementation of new approaches for biomedical signal processi ng\, with a special focus on neuroelectrical data (Electroencephalography\ , EEG) with the aim to reconstruct the brain circuits at the basis of cogn itive processes and social cognition. Her expertise is in the field of sig nal processing\, mathematical modeling of biological systems\, EEG\, neuro electrical imaging\, connectivity estimation\, hyperscanning\, statistical assessment and graph theory. \n\n\nInteressi di ricerca: \n\n\n\nDr. Topp i’s research interests include the development and implementation of new a pproaches for high resolution EEG signal processing\, with a special focus on brain mapping and brain connectivity in healthy and pathological indiv iduals.1. Brain mappingShe contributed to the development of the following methodologies: i) adaptation of the current algorithms for the analysis o f event-related potentials in healthy subjects to the non-idealities of da ta from patients with disorders of consciousness (Risetti et al.\, Front H um Neurosci\, 2013 – Toppi et al.\, Neurorehab and Neural Repair\, 2019) a nd ii) source localization approaches aiming at increasing the low spatial resolution of EEG technique and thus identifying brain areas acting as so urces in the recorded neuroelectrical activity. Such methods have been the n applied to healthy subject with the aim to investigate brain activities associated to imagination (Toppi et al.\, JNE\, 2014) to face perception ( Vecchiato et al.\, Comp Math Meth Med\, 2014) and to economic decision mak ing (Vecchiato et al.\, J. Neurosci Meth\, 2010\, Vecchiato et al.\, Med B iol Eng Comp\, 2011).2. Brain connectivityShe focused on the development o f methodologies for stationary and time-varying connectivity estimation an d their related statistical assessment against chance (Toppi et al.\, IEEE Trans Biom Eng\, 2016\, Toppi et al.\, Comp Mat Met Med\, 2012). Such app roaches have been used to reconstruct the brain circuits at the basis of r esting brain (Petti et al.\, CIN\, 2016) as well as during active cognitiv e processes (Toppi et al.\, Front Hum Neurosci\, 2018\, Toppi et al.\, Neu roimage\, 2016). In social neuroscience field\, within Prof. Astolfi’s gro up\, she was pioneer in the analysis of brain to brain connectivity estima ted from hyperscanning EEG acquired (simultaneously) from interacting subj ects (Ciaramidaro\, Toppi\, Sci Rep\, 2018\, Toppi\, PlosOne\, 2016\, Asto lfi et al.\, IEEE Int Sys\, 2011\, Astolfi et al.\, Brain Top\, 2010).More over\, in the context of CONTRAST project\, she employed graph theory indi ces for quantifying brain networks measures and thus extracting indices to be used as outcome measures in cognitive/motor rehabilitation treatments based on Brain Computer Interface after stroke (Pichiorri et a.\, Ann of N eu\, 2015).\n\n\nqualifica_rr: \n\nAssociate professors URL;TYPE=URI:http://www.u-gov-ricerca.uniroma1.it/node/24095 END:VEVENT END:VCALENDAR