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:20181028T030000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RDATE:20191027T030000 TZNAME:CET END:STANDARD BEGIN:DAYLIGHT DTSTART:20190331T020000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:calendar.18179.field_data.0@www.diag.uniroma1.it DTSTAMP:20260403T204159Z CREATED:20190517T110616Z DESCRIPTION:La dottoressa Jlenia Toppi\, vincitrice della procedura seletti va RTD-B a n. 1 posto presso il Dipartimento di  Ingegneria Informatica\, Automatica e Gestionale 'A. Ruberti'\, SC 09/G2\, SSD ING-INF/06 - codice concorso 2018RTDB012\, i cui atti sono stati approvati con Decreto Rettora le n. 1566/2019 del 16.05.2019\, terrà presso questo dipartimento un semin ario sulle attività di ricerca da lei svolte e in corso di svolgimento\, c ome previsto dagli adempimenti richiesti per la chiamata da parte del Cons iglio di dipartimento. Il seminario avrà luogo lunedì 20 Maggio 2019 alle 13:15 in Aula A2\, DIAG\, via Ariosto 25.AbstractThe talk has the main obj ective to describe the methodological framework for connectivity estimatio n developed in the last 10 years as support to cognitive neuroscience for the comprehension of neural phenomena at the basis of human cognition. An overview of how the recent methodological advancements in EEG based connec tivity field have overcome its most restrictive pitfalls will be given. Su ch advancements have allowed to employ methodologies for brain connectivit y estimation as a tool to be used in several applications aiming at the co mprehension of cognitive or social human behaviors or at the description o f pathological neural mechanisms at the basis of severe neurological disea ses (stroke\, disorders of consciousness).BiosketchJlenia Toppi received h er M.Sc. Degree in Biomedical Engineering from Sapienza University of Rome in 2009 and her PhD in Biomedical Engineering from University of Bologna Alma Mater Studiorum in 2013. She had a post-doc position at the Departmen t of Computer\, Control and Management Engineering\, Sapienza University o f Rome in the period 2013-2018. In the framework of a bilateral agreement between her Department and Fondazione Santa Lucia\, and Institute of Hospi talization and Scientific Care\, she spend part of her research activity i n the latter institution\, specialized in Neurorehabilitation. Her researc h interests include the development and implementation of new approaches f or biomedical signal processing\, with a special focus on neuroelectrical data (Electroencephalography\, EEG) with the aim to reconstruct the brain circuits at the basis of cognitive processes and social cognition. She par ticipated in several national and international research projects\, funded by the Italian Ministry of Education\, 7th Framework Program and Horizon 2020 of the European Commission. She serves as reviewer for several peer-r eview journals\, she is the Associate Editor of the Computational and Math ematical Methods in Medicine journal.    DTSTART;TZID=Europe/Paris:20190520T131500 DTEND;TZID=Europe/Paris:20190520T131500 LAST-MODIFIED:20200212T005839Z LOCATION:Aula A2 SUMMARY:EEG-based brain connectivity underlying the neural basis of human c ognition - Jlenia Toppi\n\n\n \n \n\n \n\n\nJlenia\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 Clinical Engineering (s umma cum laude) in 2006 and her Master Degree in Biomedical Engineering (s umma con laude) in 2009\, both from University of Rome “Sapienza”. In 2013 \, she received her PhD in Biomedical Engineering (with honors) from Unive rsity of Bologna “Alma Mater Studiorum”. She is associate professor at the Department of Computer\, Control and Management Engineering\, Sapienza Un iversity of Rome. Since 2010 she carries on research activity on healthy a nd pathological individuals at Neuroelectrical Imaging and Brain Computer Interface Laboratory\, IRCCS Fondazione Santa Lucia\, Rome (Italy). She pa rticipated in several national and international research projects\, funde d by the Italian Ministry of Education\, 7th Framework Program and Horizon 2020 of the European Commission. She is Editor of the Computation and Mat hematical Methods in Medicine. She serves as reviewer for several peer-rev iew journals. Her research interests include the development and implement ation of new approaches for biomedical signal processing\, with a special focus on neuroelectrical data (Electroencephalography\, EEG) with the aim to reconstruct the brain circuits at the basis of cognitive processes and social cognition. Her expertise is in the field of signal processing\, mat hematical modeling of biological systems\, EEG\, neuroelectrical imaging\, connectivity estimation\, hyperscanning\, statistical assessment and grap h theory. \n\n\nInteressi di ricerca: \n\n\n\nDr. Toppi’s research interes ts include the development and implementation of new approaches for high r esolution EEG signal processing\, with a special focus on brain mapping an d brain connectivity in healthy and pathological individuals.1. Brain mapp ingShe contributed to the development of the following methodologies: i) a daptation of the current algorithms for the analysis of event-related pote ntials in healthy subjects to the non-idealities of data from patients wit h disorders of consciousness (Risetti et al.\, Front Hum Neurosci\, 2013 – Toppi et al.\, Neurorehab and Neural Repair\, 2019) and ii) source locali zation approaches aiming at increasing the low spatial resolution of EEG t echnique and thus identifying brain areas acting as sources in the recorde d neuroelectrical activity. Such methods have been then applied to healthy subject with the aim to investigate brain activities associated to imagin ation (Toppi et al.\, JNE\, 2014) to face perception (Vecchiato et al.\, C omp Math Meth Med\, 2014) and to economic decision making (Vecchiato et al .\, J. Neurosci Meth\, 2010\, Vecchiato et al.\, Med Biol Eng Comp\, 2011) .2. Brain connectivityShe focused on the development of methodologies for stationary and time-varying connectivity estimation and their related stat istical assessment against chance (Toppi et al.\, IEEE Trans Biom Eng\, 20 16\, Toppi et al.\, Comp Mat Met Med\, 2012). Such approaches have been us ed to reconstruct the brain circuits at the basis of resting brain (Petti et al.\, CIN\, 2016) as well as during active cognitive processes (Toppi e t al.\, Front Hum Neurosci\, 2018\, Toppi et al.\, Neuroimage\, 2016). In social neuroscience field\, within Prof. Astolfi’s group\, she was pioneer in the analysis of brain to brain connectivity estimated from hyperscanni ng EEG acquired (simultaneously) from interacting subjects (Ciaramidaro\, Toppi\, Sci Rep\, 2018\, Toppi\, PlosOne\, 2016\, Astolfi et al.\, IEEE In t Sys\, 2011\, Astolfi et al.\, Brain Top\, 2010).Moreover\, in the contex t of CONTRAST project\, she employed graph theory indices for quantifying brain networks measures and thus extracting indices to be used as outcome measures in cognitive/motor rehabilitation treatments based on Brain Compu ter Interface after stroke (Pichiorri et a.\, Ann of Neu\, 2015).\n\n\nqua lifica_rr: \n\nAssociate professors URL;TYPE=URI:https://www.diag.uniroma1.it/node/18179 END:VEVENT END:VCALENDAR