Automated localization of the seizure focus using interictal intracranial EEG

Jing Jin, Justin Dauwels, Sydney Cash
2014 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
Up to 30% of newly diagnosed 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 very 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, suffering, and infectiously risky for patients. In this paper, techniques are developed
more » ... o localize the seizure focus using brief inter-ictal intracranial EEG (iEEG). A supervised learning paradigm is utilized making use of features extracted from inter-ictal iEEG on multiple referential montages. Analysis of 14 epileptic patients (implanted with depth electrodes) shows that epileptic features such as slowing, ripples, spikes, and local synchrony measures are strongly correlated to the seizure focus. In the long term, it may allow reliable localization of the seizure focus from brief inter-ictal iEEG, which in turn makes it possible for shorter hospitalizations.
doi:10.1109/embc.2014.6944609 pmid:25570977 dblp:conf/embc/JinDC14 fatcat:qll2y4cdbvavxmnel7zgtgnovq