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Journal of Healthcare Engineering
Volume 1, Issue 3, Pages 435-459
http://dx.doi.org/10.1260/2040-2295.1.3.435
Research Article

Graph Analysis and Visualization for Brain Function Characterization Using EEG Data

Vangelis Sakkalis,1 Vasilis Tsiaras,1,2 and Ioannis G. Tollis1,2

1Foundation for Research and Technology, Biomedical Informatics Lab, Institute of Computer Science, Heraklion, Greece
2Department of Computer Science, University of Crete, Heraklion, Greece

Copyright © 2010 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Hu Lu, Bao-Ming Li, and Hui Wei, “A small-world of neuronal functional network from multi-electrode recordings during a working memory task,” The 2012 International Joint Conference on Neural Networks (IJCNN), pp. 1–6, . View at Publisher · View at Google Scholar
  • Vangelis Sakkalis, “Applied strategies towards FEG/MEG biomarker identification in clinical and cognitive research,” Biomarkers In Medicine, vol. 5, no. 1, pp. 93–105, 2011. View at Publisher · View at Google Scholar
  • V. Sakkalis, “Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG,” Computers In Biology And Medicine, vol. 41, no. 12, pp. 1110–1117, 2011. View at Publisher · View at Google Scholar
  • Eleni G. Christodoulou, Vangelis Sakkalis, Vassilis Tsiaras, and Ioannis G. Tollis, “BrainNetVis: An open-access tool to effectively quantify and visualize brain networks,” Computational Intelligence and Neuroscience, vol. 2011, 2011. View at Publisher · View at Google Scholar
  • Vangelis Sakkalis, and Konstantinos Marias, “EEG based biomarker identification using graph-theoretic concepts: Case study in alcoholism,” Fields Institute Communications, vol. 63, pp. 171–189, 2012. View at Publisher · View at Google Scholar
  • Vangelis Sakkalis, Theofanis Oikonomou, Vassilis Tsiaras, and Ioannis Tollis, “Graph-theoretic indices of evaluating brain network synchronization: Application in an alcoholism paradigm,” Neuromethods, vol. 91, pp. 159–169, 2015. View at Publisher · View at Google Scholar
  • Youngoh Bae, Byeong Wook Yoo, Jung Chan Lee, and Hee Chan Kim, “Automated network analysis to measure brain effective connectivity estimated from EEG data of patients with alcoholism,” Physiological Measurement, vol. 38, no. 5, pp. 759–773, 2017. View at Publisher · View at Google Scholar