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

被引:6
作者
Peng, Syu-Jyun [1 ,2 ]
Chou, Chien-Chen [3 ,5 ]
Yu, Hsiang-Yu [3 ,5 ]
Chen, Chien [3 ,5 ]
Yen, Der-Jen [3 ,5 ]
Kwan, Shang-Yeong [3 ,5 ]
Hsu, Sanford P. C. [4 ,5 ]
Lin, Chun-Fu [4 ,5 ]
Chen, Hsin-Hung [4 ,5 ]
Lee, Cheng-Chia [4 ,5 ]
机构
[1] Natl Chiao Tung Univ, Biomed Elect Translat Res Ctr, Hsinchu, Taiwan
[2] Natl Chiao Tung Univ, Inst Elect, Hsinchu, Taiwan
[3] Taipei Vet Gen Hosp, Neurol Inst, Dept Neurol, Taipei, Taiwan
[4] Taipei Vet Gen Hosp, Neurol Inst, Dept Neurosurg, Taipei, Taiwan
[5] Natl Yang Ming Univ, Sch Med, Taipei, Taiwan
关键词
brain connectivity; graph theory; epileptogenic network; topology; epilepsy surgery; ONSET PATTERNS; SEIZURES;
D O I
10.3171/2018.6.JNS172844
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
引用
收藏
页码:1086 / 1094
页数:9
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