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DOI 10.1109/embc.2017.8037636

Медицинская библиотека · Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2017

Localization of stereo-electroencephalography signals using a finite difference complete electrode model.

Hyde Damon E, Tomas-Fernandez Xavier, Stone Scellig S, Peters Jurriaan, Warfield Simon K

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Аннотация

Surgical intervention in epilepsy aims to eliminate seizures in refractory patients by resecting the tissue responsible for seizure onset. Stereo-electroencephalography (sEEG) provides highly accurate but invasive electrophysiological measurements using narrow multi-contact electrodes implanted stereotactically through small holes in the skull. However, the three dimensional nature of sEEG measurements make observed seizure onsets difficult to associate with physical cortical regions. Three dimensional source localization from sEEG measurements can improve the interpretation of this data, but requires more accurate modeling as compared to localization from scalp EEG. Here, we present a finite difference approach that models the contact impedance and physical extent of each electrode (the so-called complete electrode model), to localize brain electrical activity from sEEG measurements. We applied this model to MRI and CT in a patient with intractable epilepsy, and reconstructed activity associated with multiple types of recurrent ictal spikes observed in sEEG. Independently, the neurosurgeon resected the clinically determined seizure focus, creating a resection cavity, and rendering the patient free of seizures. Our localization placed the seizure focus at a focal region in the occipital lobe, entirely contained within the resection region.

Для цитирования: Hyde Damon E, Tomas-Fernandez Xavier, Stone Scellig S, Peters Jurriaan, Warfield Simon K. Localization of stereo-electroencephalography signals using a finite difference complete electrode model.. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2017. DOI: 10.1109/embc.2017.8037636.

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