Ictal networks of temporal lobe epilepsy: Views from high-frequency oscillations in stereoelectroencephalography

Syu Jyun Peng, Chien Chen Chou, Hsiang Yu Yu, Chien Chen, Der Jen Yen, Shang Yeong Kwan, Sanford P.C. Hsu, Chun Fu Lin, Hsin Hung Chen, Cheng Chia Lee

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

OBJECTIVE In this study, the authors investigated high-frequency oscillation (HFO) networks during seizures in order to determine how HFOs spread from the focal cerebral cortex and become synchronized across various areas of the brain. METHODS All data were obtained from stereoelectroencephalography (SEEG) signals in patients with drug-resistant temporal lobe epilepsy (TLE). The authors calculated intercontact cross-coefficients between all pairs of contacts to construct HFO networks in 20 seizures that occurred in 5 patients. They then calculated HFO network topology metrics (i.e., network density and component size) after normalizing seizure duration data by dividing each seizure into 10 intervals of equal length (labeled I1–I10). RESULTS From the perspective of the dynamic topologies of cortical and subcortical HFO networks, the authors observed a significant increase in network density during intervals I5–I10. A significant increase was also observed in overall energy during intervals I3–I8. The results of subnetwork analysis revealed that the number of components continuously decreased following the onset of seizures, and those results were statistically significant during intervals I3–I10. Furthermore, the majority of nodes were connected to a single dominant component during the propagation of seizures, and the percentage of nodes within the largest component grew significantly until seizure termination. CONCLUSIONS The consistent topological changes that the authors observed suggest that TLE is affected by common epileptogenic patterns. Indeed, the findings help to elucidate the epileptogenic network that characterizes TLE, which may be of interest to researchers and physicians working to improve treatment modalities for epilepsy, including resection, cortical stimulation, and neuromodulation treatments that are responsive to network topologies.

Original languageEnglish
Pages (from-to)1086-1094
Number of pages9
JournalJournal of Neurosurgery
Volume131
Issue number4
DOIs
Publication statusPublished - Oct 2019

Keywords

  • Brain connectivity
  • Epilepsy surgery
  • Epileptogenic network
  • Graph theory
  • Topology

ASJC Scopus subject areas

  • Surgery
  • Clinical Neurology

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