Kiret Dhindsa

This study uses an ODE model to separate rest and task signals in fMRI data, showing task-specific dynamics are subsets of rest dynamics and improving reaction time predictions.

The paper develops and validates LeAPP, an automated processing pipeline for stroke MRI data that improves volumetric and connectome reconstructions compared to standard pipelines.

The paper combines brain simulations with machine learning to improve dementia classification by integrating PET and MRI data with simulated electrophysiological features.