Mohammad P. Oveisi

This study investigates how corticothalamic circuits contribute to age-related changes in resting-state alpha oscillations using MEG data from the Cam-CAN dataset.

The paper uses computational modeling to explore how theta burst stimulation affects brain oscillations and plasticity through calcium-dependent mechanisms, revealing resonance with alpha rhythms and implications for personalized treatment.

This study identifies neurophysiological signatures predicting response to TMS in treatment-resistant depression using combined EEG and computational modeling.

This paper applies a corticothalamic model to analyze sleep EEG data from multiple datasets, revealing consistent physiological patterns and drug-related effects during sleep stages.

This study evaluates the validity and reliability of HD-DOT TD-fNIRS in rapid succession data collection, finding consistent performance with less spatial detail than fMRI.

The paper uses electrophysiology and modeling to show that high-order brain regions have higher excitability due to recurrent feedback, revealing a gradient linked to cortical hierarchy.