Marina Diachenko

This study compares age-specific pediatric EEG templates to adult templates and finds they better match individual MRI-based biomarkers in children up to 12 years old.

The paper develops computational models to analyze E/I ratio and E+I strength in brain disorders, finding distinct patterns in epilepsy, Alzheimer's, autism, and ADHD.

The paper examines EEG abnormalities in ASD and controls, finding reduced fE/I in both groups with abnormalities, suggesting inhibition-dominated networks in sensory regions.

Robin's Viewer integrates deep-learning predictions into an EEG annotation tool to improve accuracy and allow user inspection of model outputs.