Fig. 5: The distribution of microstate classes corresponding to grand-averaged ERP in the FAF task for PD and HC groups. | npj Digital Medicine

Fig. 5: The distribution of microstate classes corresponding to grand-averaged ERP in the FAF task for PD and HC groups.

From: An interpretable model based on graph learning for diagnosis of Parkinson’s disease with voice-related EEG

Fig. 5

Different colors represent different microstates. Five microstates clustered by k-means algorithm are shown in the first row, average time potential fluctuations with emphasis on P2 component are shown in the second row, global field power is shown in the third row, and functional activity distributions within microstates and EEG networks associated with P2 component are shown in the bottom. GFP global field power, MS microstate.

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