Sorenza P Bastiaens

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 systematically compares four theoretical models of alpha rhythm generation in neural circuits, identifying common elements and differences, and classifying two dynamical regimes for alpha rhythms.

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.

This paper investigates how inhibition levels affect fMRI resting-state negative correlations (NCs) using simulations and connectome-based modeling, showing that greater inhibition increases NC magnitude and spatial extent.

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.