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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/393CCBAF-ABD2-4840-BC25-1C0F8AD3EAC4 | ||
| Year | 2013 | ||
| Type of Item | Conference Short Paper | ||
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| Bibliographic Citation | 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 | ||
| Appears in Collections |
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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