Cross‐Sectional Associations Between the Electroencephalogram and Cognitive Status: Toward Scalable Monitoring Solutions

Specific EEG features, particularly those of temporal and occipital activity, can serve as reliable predictors of cognitive status. While cohort diversity enhanced the generalizability of these findings, more EEG recordings in the low MMSE range are needed to improve regression performance. Longitudinal studies are required to validate the tracking of intra-subject EEG activity changes associated with cognitive decline. In the future, ML could automate periodic monitoring assessments of cognitive health based on EEG in its wearable and low-resolution format, especially in regions with limited specialized staff and imaging technology.