EEG connectome-based predictive modeling of nonverbal intelligence level in healthy subjects
Anton A. Pashkov, Ivan Dakhtin, Inna V. Feklicheva, Julia Shmotina, Mahmoud Hassan
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.
bioRxiv · Nov 4, 2024 · PreprintNeuroscience