Soojin Park

This paper introduces CereBRLSIM, a digital twin that predicts cerebral blood flow and CVR mechanisms in neurocritical care patients with higher accuracy than machine learning models.

The paper investigates how the occipital place area (OPA) represents direction and distance features in visual scenes, finding that these features are combined into path units for navigation.

The paper uses MRI and machine learning to predict consciousness recovery and functional outcomes after haemorrhagic stroke by analyzing deep brain lesions.