EEG-based brain connectivity underlying the neural basis of human cognition

Data dell'evento: 
Monday, 20 May, 2019 - 13:15
Luogo: 
Aula A2
Speaker: 
Jlenia Toppi
Descrizione

La dottoressa Jlenia Toppi, vincitrice della procedura selettiva 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 Rettorale n. 1566/2019 del 16.05.2019, terrà presso questo dipartimento un seminario sulle attività di ricerca da lei svolte e in corso di svolgimento, come previsto dagli adempimenti richiesti per la chiamata da parte del Consiglio di dipartimento. Il seminario avrà luogo lunedì 20 Maggio 2019 alle 13:15 in Aula A2, DIAG, via Ariosto 25.

Abstract

The talk has the main objective to describe the methodological framework for connectivity estimation 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 connectivity field have overcome its most restrictive pitfalls will be given. Such advancements have allowed to employ methodologies for brain connectivity estimation as a tool to be used in several 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).

Biosketch

Jlenia Toppi received her 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 Department of Computer, Control and Management Engineering, Sapienza University of Rome in the period 2013-2018. In the framework of a bilateral agreement between her Department and Fondazione Santa Lucia, and Institute of Hospitalization and Scientific Care, she spend part of her research activity in the latter institution, specialized in Neurorehabilitation. Her research interests include the development and implementation 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. She participated 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-review journals, she is the Associate Editor of the Computational and Mathematical Methods in Medicine journal.

 

 

 

Contatto: 
astolfi@diag.uniroma1.it
speaker DIAG: 

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