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Fig. 11 | BMC Bioinformatics

Fig. 11

From: Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions

Fig. 11

Visualizations of the two pre-processed datasets of the same raw input signals. Colors in the cluster evolution view and the electrode view indicate the time-varying communities. Three intervals are chosen for analysis to explore the modular signatures at different brain states. Significant evolution patterns at these stages are 1) normal activity—stable cluster characteristics with equally sized modules, 2) transition state—distinct activation patterns emerging from the ‘Lateral temporal cortex’, 3) late seizure state—single dominance of the orange cluster. When comparing the modular signatures between images a and b, the number of clusters in b seems to be larger

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