Abstracts

Rationale: In this study, we attempted to establish the ictal HFOs network to figure out how focal HFOs generated from an epileptogenic cortex spread out and synchronize across large areas of cortex. By developing the common ictal patterns with different types of seizures in temporal lobe epilepsy (TLE), an approach for ictal HFOs network may be potentially beneficial for surgical resection or neuromodulation. Methods: We applied the network topology measures to 20 seizures observed in 5 patients. All data come from the stereotactic EEG (SEEG) signals in medical-intractable epilepsy patients. We measured inter-electrode cross-coefficient between all pairs of electrodes for each 1 second window. By constructing the HFOs network, the topology was analyzed by network measures such as the density and the components. Results: By using the SEEG to explore the dynamic topologies of cortical and subcortical HFOs networks, we found the HFOs network synchronization and ripple energy increase during seizure progression. We also found the common epileptogenic topology in TLE, and the dominant networks grown during seizure propagation Conclusions: The improvement of spatiotemporal resolution established by SEEG and HFOs’ network helped us to recognize and analyze the epileptic seizures. Consistent topologies changes implied the common epileptogenic pattern in temporal lobe epilepsy. Our study was beneficial for various surgical resection, cortex stimulation, or neuromodulation treatments responsive to the network topologies. Funding: The study was fund by Taiwan Ministry of Science and Technology. Restrigation number is 105-2314-B-075 -016