Mapping multiplex hubs in human functional brain network
Event details
| Date | 06.05.2016 |
| Hour | 14:00 › 15:00 |
| Speaker | Dr. Manlio De Domenico, Universitat Rovira i Virgili, Tarragona, Spain |
| Location | |
| Category | Conferences - Seminars |
Typical brain networks consist of many peripheral regions and a few highly central ones, i.e. hubs, playing key functional roles in cerebral inter-regional interactions. Studies have shown that networks, obtained from the analysis of specific frequency components of brain activity, present peculiar architectures with unique profiles of region centrality. However, the identification of hubs in networks built from different frequency bands simultaneously is still a challenging problem, remaining largely unexplored.
Here we identify each frequency component with one layer of a multiplex network and face this challenge by exploiting the recent advances in the analysis of multiplex topologies. First, we show that each frequency band carries unique topological information, fundamental to accurately model brain functional networks. We then demonstrate that hubs in the multiplex network, in general different from those ones obtained after discarding or aggregating the measured signals as usual, provide a more accurate map of brain's most important functional regions, allowing to distinguish between healthy and schizophrenic populations better than conventional network approaches.
http://arxiv.org/abs/1603.05897
Bio: I am a Research Fellow at the Dept. Enginyeria Informatica i Matematiques at the Universitat Rovira i Virgili, Tarragona (Spain), where I joined the Alephsys group of Prof. Alex Arenas to work within the PLEXMATH project. You can find here my detailed CV.
My current activities deal with the mathematical formulation of multiplex networks and the study of dynamical processes on such graphs. I am interested in investigating hidden patterns in complex real and virtual time-varying networks, with particular attention to social, biological and economic data. Indeed, I develop models and simulations of the spreading of epidemics and information in real-world social networks.
Here we identify each frequency component with one layer of a multiplex network and face this challenge by exploiting the recent advances in the analysis of multiplex topologies. First, we show that each frequency band carries unique topological information, fundamental to accurately model brain functional networks. We then demonstrate that hubs in the multiplex network, in general different from those ones obtained after discarding or aggregating the measured signals as usual, provide a more accurate map of brain's most important functional regions, allowing to distinguish between healthy and schizophrenic populations better than conventional network approaches.
http://arxiv.org/abs/1603.05897
Bio: I am a Research Fellow at the Dept. Enginyeria Informatica i Matematiques at the Universitat Rovira i Virgili, Tarragona (Spain), where I joined the Alephsys group of Prof. Alex Arenas to work within the PLEXMATH project. You can find here my detailed CV.
My current activities deal with the mathematical formulation of multiplex networks and the study of dynamical processes on such graphs. I am interested in investigating hidden patterns in complex real and virtual time-varying networks, with particular attention to social, biological and economic data. Indeed, I develop models and simulations of the spreading of epidemics and information in real-world social networks.
Practical information
- General public
- Free
- This event is internal
Organizer
- Prof. Paolo De Los Rios
Dr. Alessio Cardillo