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Synchronization coupling investigation using ICA cluster analysis in resting MEG signals in reading difficulties

Zervakis Michalis, Tsiknakis, Manolis, Giannakakis Georgios, Antonakakis Marios, Michelogiannis Sifis

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URI: http://purl.tuc.gr/dl/dias/393CCBAF-ABD2-4840-BC25-1C0F8AD3EAC4
Έτος 2013
Τύπος Σύντομη Δημοσίευση σε Συνέδριο
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Βιβλιογραφική Αναφορά M. Antonakakis, G. Giannakakis, M.Tsiknakis, S. Micheloyannis and M. Zervakis, " Synchronization coupling investigation using ICA cluster analysis in resting MEG signals in reading difficulties," in 13th IEEE International Conference on BioInformatics and BioEngineering, 2013, pp.1-5. doi:10.1109/BIBE.2013.6701594 https://doi.org/10.1109/BIBE.2013.6701594
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Περίληψη

The 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.

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