Fig. 2 | Scientific Reports

Fig. 2

From: Population-based spectral characteristics of normal interictal scalp EEG inform diagnosis and treatment planning in focal epilepsy

Fig. 2The alternative text for this image may have been generated using AI.

Overall analytic workflow of the study. (A) Multiple eyes-closed awake interictal epochs from each EEG recording are identified for data analysis. The average power spectral density (PSD) and phase-based connectivity (PC) between each channel pair are computed and stacked across recordings to obtain 3-d PSD and PC tensors (recordings x channels or channel pairs x frequencies). (B) PSD and PC population tensors are decomposed separately in an unsupervised fashion to obtain multiple interpretable spatio-spectral patterns (i.e., factors). (C) Normal interictal EEG data from focal epilepsy patients are projected on each population-level factor to obtain patient-specific factor loadings. Differences in drug-resistant and non-lesional MRI focal epilepsy are investigated by using these loadings in statistical group/sub-group comparisons and predictive analyses.

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