AUTOMATICALLY LOCALIZING EPILEPTOGENIC LESIONS

The number of focal epilepsy patients without known epileptogenic lesions (who most of the time are not amenable to epilepsy surgery) inversely depends on the diagnostic yield of MRI. Harnessing novel techniques from the field of artificial intelligence, we aim to enhance the diagnostic sensitivity of epilepsy imaging.

COMPLEMENTING EPILEPSY IMAGING BY SEIZURE IMAGING

Neurostructural pathologies causing seizures stand in the center of epilepsy imaging. Here, we want to establish functional MR imaging of epileptic seizures by sensitizing our MRI signal and data postprocessing for what is commonly known as transient peri-ictal MRI changes.

UNDERSTADING AND PREDICTING NEUROPLASTIC REMODELING IN THE LESIONED BRAIN

Our studies investigating patients with hemispheric lesions yield insights which explain the plastic potential of the brain, enable predictions of patient recovery, and pave the way towards novel restorative therapies.

CHARACTERIZING NEUROIMAGING BIOMARKERS

We aim at establishing novel associations between clinically defined disorders and known or new MRI parameters. Here, pathognomonic MRI features shall be defined, helpful for diagnosis or monitoring of neurological diseases.

​

CLINICAL IMAGING