Abstract
There has been special interest lately in using graph theory to study brain networks, as it provides the theoretic and visualization means to study the "disconnection syndrome" for schizophrenia. In this work we try to visualize the graphs derived from electroencephalografic (EEG) signals using several graph drawing techniques and incorporate them smoothly into an easy-to-use framework. The aim is to reveal and evaluate important properties of brain networks. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Oikonomou, T., Sakkalis, V., Tollis, I. G., & Micheloyannis, S. (2006). Searching and visualizing brain networks in schizophrenia. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4345 LNBI, pp. 172–182). Springer Verlag. https://doi.org/10.1007/11946465_16
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