A Comparison of EEG and NIRS Biomarkers for Assessment of Depression Risk

This study assesses the Frontal Alpha Asymmetry (FAA) obtained from EEG data at the resting-state and Laterality Index at Rest (LIR) given from NIRS data for detection of depression risk in the early stage. The Comfort Vector model (CVM) is another potential biomarker using the feature value of prefrontal alpha wave fluctuation. In this paper, we discuss the potential biomarkers for assessment of depression risk. From the experimental result by simultaneous NIRS and EEG recordings of healthy subjects, the values of FAA, LIR and CVM associated with BDI score were found. We discuss the potentials of long-term simultaneous NIRS and EEG monitoring.