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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.
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.
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