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