Title :
Localization of ictal onset zones in Lennox-Gastaut syndrome using directed transfer function method
Author :
Cho, Jae-Hyun ; Jung, Young-Jin ; Kang, Hoon-Chul ; Kim, Heung Dong ; Im, Chang-Hwan
Author_Institution :
Dept. of Biomed. Eng., Yonsei Univ., Wonju, South Korea
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
Neuroscientists are becoming interested in the application of computational EEG analysis to the identification of ictal onset zones, however, most studies have focused on the localization of ictal onset zones in focal epilepsy. The present study aimed to estimate the ictal onset zone of Lennox-Gastaut syndrome (LGS) with bilaterally synchronous epileptiform discharges from intracranial electroencephalography (iEEG) recordings using directional connectivity analysis. We analyzed ictal iEEG data acquired from three patients with LGS. To identify the ictal onset zones, we estimated the functional directional connectivity network among the intracerebral electrodes using the directed transfer function (DTF) method. The analysis results demonstrated that areas with high average outflow values corresponded well with the surgical resection areas identified using electrophysiologic data and conventional neuroimaging modalities. Our results suggest that the DTF analysis can be a useful auxiliary tool for determining surgical resection areas prior to epilepsy surgery in LGS patients.
Keywords :
bioelectric phenomena; biomedical electrodes; data acquisition; data analysis; electroencephalography; medical disorders; neurophysiology; surgery; DTF analysis; LGS patient; Lennox-Gastaut syndrome; bilaterally synchronous epileptiform; directed transfer function method; directional connectivity analysis; electrophysiologic data; epilepsy surgery; functional directional connectivity network; ictal iEEG data; ictal onset zones; intracerebral electrodes; intracranial electroencephalography recordings; neuroimaging modality; surgical resection area; Brain modeling; Electrodes; Electroencephalography; Epilepsy; Neuroimaging; Surgery; Transfer functions; Algorithms; Brain; Child, Preschool; Diagnosis, Computer-Assisted; Electroencephalography; Humans; Intellectual Disability; Nerve Net; Reproducibility of Results; Seizures; Sensitivity and Specificity; Spasms, Infantile;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091244