Abstract
In patients with drug-resistant partial epilepsy, intracerebral recordings with stereoelectroencephalography (SEEG) are performed in order to localize the activity arising from epileptogenic tissues and its propagation patterns. The clinical interpretation of SEEG signals is crucial to delimit surgery boundaries or to design patient-specific neuromodulation protocols. To assist these interpretations, physiologically relevant computational and anatomical models can be combined to reconstruct in silico intracerebral SEEG signals and to link the signal morphology with the geometry of underlying epileptic regions.
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