Suzanna Becker

This paper develops an EEG-based pipeline to track brain networks using features trained on EEG-fMRI data, achieving 75% accuracy in classifying cognitive networks.

This study investigates dynamic network switching during task performance using fMRI, finding that the salience network co-activates with task-relevant networks and involves posterior insula and medial temporal nodes.