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Using graph theoretical methods to evaluate EEG signals in schizophrenia

Zervakis Michail, Sakkalis, Vangelis, Ερημάκη Σοφία, Πάχου Έλλη, Oikonomou Theophanis, Μιχελογιάννης Σήφης, Τσίρκα Βασιλική, Τόλης Γιάννης

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URI: http://purl.tuc.gr/dl/dias/5131E446-AABD-44D7-ACD4-F34172A1CCD8
Year 2006
Type of Item Conference Short Paper
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Bibliographic Citation E. Pachou, T. Oikonomou, V. Sakkalis, S. Erimaki, V. Tsirka, Y. Tolis, M. Zervakis and S. Micheloyannis, "Using graph theoretical methods to evaluate EEG signals in schizophrenia," presented at Biopattern Brain Workshop, Goteborg, Sweden, 2006.
Appears in Collections
Conference Publications in Community School of Electrical and Computer Engineering
Conference Publications in Community Digital Image and Signal Processing Laboratory

Summary

Higher brain functions are companied by synchronous neuronal interplay expressed by the different EEG bands. Analyzing these bands is possible to study the complexity of neuronal assemblies. Nonlinearity, nonstationarity and complexity characterize physiologic systems including CNS. The myriad of structural units and feedback loops of the brain operate over a wide range of spatial and temporal scales. This information is included in EEG signals.

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