title: Automated localization of the seizure focus using interictal intracranial EEG.
abstract: Up to 30% of epileptic patients have seizures poorly controlled with anti-epileptic drugs alone. Surgical therapy might be beneficial to patients who respond poorly to drug treatments. It is therefore crucial to accurately localize the seizure focus. Neurologists rely heavily on seizures to determine the focus. The invasive recordings usually continue for days or weeks, which is costly and entails significant risk for the patients. In this paper, techniques are developed to localize the seizure focus using brief interictal intracranial EEG (iEEG). A supervised learning paradigm is utilized making use of features extracted from interictal iEEG on multiple referential montages. Analysis of 14 epileptic patients (implanted with depth electrodes) shows that iEEG features such as slowing, ripples, spikes, and local synchrony measures are strongly correlated to the seizure focus. These procedures may allow reliable localization of the seizure focus from brief interictal iEEG, which in turn may lead to shorter hospitalizations.
authors.lastname: Jing Jin
authors.forename: Justin
authors.initials: J
authors.lastname: Dauwels
authors.forename: Sydney
authors.initials: S
authors.lastname: Cash
mesh_terms: D000465:Algorithms; D000927:Anticonvulsants / Q000627:therapeutic use; D001331:Automation; D001921:Brain / Q000503:physiopathology; D002540:Cerebral Cortex / Q000503:physiopathology; D004351:Drug Resistance; D004558:Electric Stimulation; D004567:Electrodes, Implanted; D004569:Electroencephalography; D004827:Epilepsy / Q000175:diagnosis* / Q000188:drug therapy / Q000503:physiopathology; D006801:Humans; D012680:Sensitivity and Specificity
chemical_list: D000927:Anticonvulsants