Sleep Brain and Cardiac Activity Predict Cognitive Flexibility and Conceptual Reasoning Using Deep Learning

This study introduces CogPSGFormer, a multi-modal deep learning model that predicts individual cognitive performance, such as executive functions, from sleep microstructure using ECG and EEG data. Evaluated on 817 participants, the model achieved 80.3% accuracy in classifying cognitive performance levels, demonstrating the potential of sleep-derived signals for cognitive assessment.