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Objective: To isolate an spacial and spectral EEG biomarker that is reliable for characterizing amygdala associated startle response. Methods: A spatial-spectral filter of spectrally weighted Common Spatial Pattern (CSP) analysis was applied to identify spacial and spectral features for EEG startle response. Support vector machine classifier with radial basis kernel was applied to identify the reliability of discovered features. Results: Theta band in frontocentral and alpha band in bilateral frontal cortex holds the most discriminant components for startle and control. The cross validation using SVM yielded a 80.3 % classification accuracy, which is much higher than just ERPs features (65.5 %). Conclusion: Amygdala activity may be assessed via EEG spatially in specific frequency bands.

Beyond the ERPs — Startle Response is Better Outlined by Whole Brain and Spectral EEG Features