Session

Friday, June 23, 2017 - 14:00 to 15:30
Towards multi-parametric hub scoring of functional cortical brain networks: An electroencephalographic (EEG) study across lifespan
Abstract: 
The attractiveness and robustness of graph theory has stimulated an unprecedented increase in studies aiming to understand the functional organization and dynamics of the brain. The investigation of brain connectomics produces a tremendous amount of data which may be examined at both a macroscopic and microscopic level. However, the interpretation of findings is still challenging. Novel methodological approaches should enhance the arsenal of the tools employed towards the understanding of the interaction of the distinct brain components. So, in this paper we propose a multi-parametric approach to identify cortical components that co-ordinate the activity of specific sub-networks and converge the information integration to a global network level. It also provides a quantification of the hub’s strength, which may be useful to investigate how hubs develop and change across the life-span. Thus, it is hypothesized the proposed methodology could serve as a robust outcome measure for identifying the benefits of traditional dance intervention in terms of functional re-organization and neuroplasticity.
Vasiliki Zilidou's picture
Vasiliki Zilidou
Aristotle University of Thessaloniki (GR)
Christos Frantzidis's picture
Christos Frantzidis
Aristotle University of Thessaloniki (GR)
Ana Vivas's picture
Ana Vivas
Maria Karagianni's picture
Maria Karagianni
Panagiotis Bamidis's picture
Panagiotis Bamidis
Aristotle University of Thessaloniki (GR)