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Optimal brain network synchrony visualization: Application in an alcoholism paradigm

Zervakis Michalis, Sakkalis, Vangelis, V. Tsiaras, Tollis, Ioannis G., 1958-

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/38A1CFFC-E6F7-4FCD-9B63-C4AF7410F3F0
Έτος 2007
Τύπος Πλήρης Δημοσίευση σε Συνέδριο
Άδεια Χρήσης
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Βιβλιογραφική Αναφορά V. Sakkalis, V. Tsiaras, M. Zervakis, I. Tollis ," Optimal brain network synchrony visualization: Application in an alcoholism paradigm ," in 2007 29th Annual Intern. Conf. of the IEEE Engin. in Medicine and Biol. Society, EMBS ,pp.4285 - 4288.doi:10.1109/IEMBS.2007.4353283 https://doi.org/10.1109/IEMBS.2007.4353283
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Περίληψη

Although electroencephalographic (EEG) signal synchronization studies have been a topic of increasing interest lately, there is no similar effort in the visualization of such measures. In this direction a graph-theoretic approach devised to study and stress the coupling dynamics of task-performing dynamical networks is proposed. Both linear and nonlinear interdependence measures are investigated in an alcoholism paradigm during mental rehearsal of pictures, which is known to reflect synchronization impairment. More specifically, the widely used magnitude squared coherence; phase synchronization and a robust nonlinear state-space generalized synchronization assessment method are investigated. This paper mostly focuses on a signal-based technique of selecting the optimal visualization threshold using surrogate datasets to correctly identify the most significant correlation patterns. Furthermore, a graph statistical parameter attempts to capture and quantify collective motifs present in the functional brain network. The results are in accordance with previous psychophysiology studies suggesting that an alcoholic subject has impaired synchronization of brain activity and loss of lateralization during the rehearsal process, most prominently in alpha (8-12 Hz) band, as compared to a control subject. Lower beta (13-30 Hz) synchronization was also evident in the alcoholic subject.

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