Synchronization coupling investigation using ICA cluster analysis in resting MEG signals in reading difficultiesSynchronization coupling investigation using ICA cluster analysis in resting MEG signals in reading difficulties Σύντομη Δημοσίευση σε Συνέδριο Conference Short Paper 2015-10-242013enThe understanding of the mechanisms of human brain is a demanding issue for neuroscience research. Physiological studies acknowledge the usefulness of synchronization coupling in the study of dysfunctions associated with reading difficulties. Magnetoencephalogram (MEG) is a useful tool towards this direction having been assessed for its superior accuracy over other modalities. In this paper we consider synchronization features for identifying brain operations. Independent Component Analysis (ICA) is applied on MEG surface signals in controls and children with reading difficulties and are clustered to representative components. Then, coupling measures of mutual information and partial directed coherence are estimated in order to reveal dysfunction of cerebral networks and its related coordination.http://creativecommons.org/licenses/by/4.0/1-513th International Conference on Bioinformatics and Bioengineering (BIBE) Zervakis Michalis Ζερβακης Μιχαλης Tsiknakis, Manolis Giannakakis Georgios Γιαννακακης Γεωργιος Antonakakis Marios Αντωνακακης Μαριος Michelogiannis Sifis Micheloyannis Sifis Μιχελογιάννης Σήφης Institute of Electrical and Electronics Engineers Neuroscience Clinical laboratory technicians Medical laboratory technicians medical technologists clinical laboratory technicians medical laboratory technicians Sychronization Scalp Surfaces Electroencephalography Brain Couplings Nickel