![]() ![]() Our results suggest that various modulatory processes, operating at different timescales, shape within-patient seizure evolutions, leading to variable seizure pathways that may require tailored treatment approaches.įocal epilepsy is characterized by spontaneous, recurrent seizures that arise from localized cortical sites ( 1). These temporal relationships occurred independent of whether the patient underwent antiepileptic medication reduction. Seizures with similar pathways tended to occur closer together in time, and a simple model suggested that seizure pathways change on circadian and/or slower timescales in the majority of patients. ![]() In all patients, we found variability in seizure paths through the space of possible network dynamics. We quantitatively compared within-patient seizure network evolutions using intracranial electroencephalographic (iEEG) recordings of over 500 seizures from 31 patients with focal epilepsy (mean 16.5 seizures per patient). Although epilepsy is a dynamic disorder characterized by pathological fluctuations in brain state, surprisingly little is known about whether and how seizures vary in the same patient. Personalized medicine requires that treatments adapt to not only the patient but also changing factors within each individual. ![]()
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