TY - GEN
T1 - Localization of ictal onset zones in Lennox-Gastaut syndrome using directed transfer function method
AU - Cho, Jae Hyun
AU - Jung, Young Jin
AU - Kang, Hoon Chul
AU - Kim, Heung Dong
AU - Im, Chang Hwan
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
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U2 - 10.1109/IEMBS.2011.6091244
DO - 10.1109/IEMBS.2011.6091244
M3 - Conference contribution
C2 - 22255466
AN - SCOPUS:84862332873
SN - 9781424441211
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 5020
EP - 5023
BT - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
T2 - 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Y2 - 30 August 2011 through 3 September 2011
ER -