Frontiers17d
Multiple patterns of EEG parameters and their role in the prediction of patients with prolonged disorders of consciousness
In this study, we adopted a six-microstate classification and employed microstate segmentation to extract EEG features. Specifically, the identification of each topographic map was accomplished using ...
Frontiers25d
Integrating fMRI spatial network dynamics and EEG spectral power: insights into resting state connectivity
The fMRI analysis includes voxel time courses, spatial dynamics and functional connectivity, while the EEG analysis features topographic maps, various EEG rhythms, and source localization. These are ...