Ivan Dakhtin

This study compares EEG resting state and task-based functional connectivity for predicting working memory performance using connectome-based predictive modeling, finding task data slightly better overall but resting state better under high load.

This study predicts nonverbal intelligence levels from EEG data using connectome-based modeling, finding significant variability in accuracy based on processing pipelines and highlighting the importance of alpha frequency bands and frontal-parietal regions.