ABSTRACT:

Due to the recent advances in neuroimaging technology and the public availability of human brain data, brain network analysis has become a promising emerging area of research. An increasing number of theoretical and empirical studies approach the function of the human brain from a network perspective (the "nodes" of the network are brain regions and the "edges" are statistical relationships between them). The analysis of brain networks is made feasible by the development of new imaging acquisition methods as well as new tools from graph theory and dynamical systems. In this seminar we will overview the state-of-the-art methods for brain network analysis. 

BIO:

Dr. Enrico Amico is a physicist who graduated from the University Federico II of Naples, Italy. After earning his Master's in 2012, he decided to follow his passion for the scientific study of consciousness. He enrolled in a joint PhD program between the Coma Science Group at the University of Liège and the Marinazzo Lab at the University of Ghent, both in Belgium. During his four years there as a PhD student he mainly focused on implementing new methods for brain connectivity assessment across levels of consciousness. In 2016 he joined the CONNplexity Lab (headed by Prof. Joaquín Goñi) as a postdoctoral researcher, where he mainly worked on implementing new network science models for functional and structural brain connectomics.