Frank Mazza

This study links reduced PV and SST interneuron inhibition in schizophrenia to distinct EEG biomarkers using in silico simulations of prefrontal microcircuits.

This study shows that spine loss in depression impairs dendritic signal integration in human cortical microcircuits, leading to greater functional impairment than reduced inhibition alone.

This study predicts optimal 5-PAM doses for depression treatment using simulated EEG data and machine learning models.

This study identifies distinct EEG biomarkers for 5-PAM in rodents, showing specific changes in theta and beta/gamma power compared to diazepam.

The paper models the effects of 5-PAM on human cortical microcircuits to assess its potential in treating depression and identifies EEG biomarkers for drug efficacy.

This study examines inter-individual variability in functional connectivity of TMS targets for MDD using E-field maps and identifies major functional networks involved.

The paper models human cortical microcircuits to show reduced inhibition in depression impairs stimulus processing by increasing baseline activity and reducing signal-to-noise ratio.

The paper simulates EEG signals from human cortical microcircuits with reduced SST interneuron inhibition to identify distinct EEG biomarkers associated with depression.