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J Korean Neurol Assoc. 2002;20(2):147-152.
- "Spatio-Temporal Distribution & Propagation of Temporal Lobe Seizures:
Application of Nonlinear Mutual Cross Prediction"
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Ki-Young Jung
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"Chungnam National University, College of Medicine, Department of Neurology
Institude for Brain Research Sung Kyun Kwan University, Samsung Medical Center,
Department of Neurology , Inje University, Chaos and Nonlinear Biological Laboratory"
- "측두엽성 간질에서 비선형 교차예측을 이용한
발작의 시공간 분포"
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정기영 , 김재문 손은희 홍승봉 유철승 이상훈
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인제대학교 물리학과 카오스 및 비선형 생체동력학 연구실
- Abstract
- "Background : Nonlinear mutual cross prediction (MCP) characterizes dynamic interdependence among nonlinear
systems. MCP also reveal relative strength of the coupling between systems, thus provides information about the direction
of interdependence. The aim of this study is to apply MCP algorithm to multi-channel EEG and to characterize spatio-
temporal pattern of seizure. M e t h o d s : We analyzed MCP of EEG of three medically intractable temporal lobe
epilepsy patients, who underwent temporal lobectomy (left 2, right 1). Asymmetry of nonlinear cross predictability
between channels was investigated. Five epochs of interictal EEG free from epileptiform discharge(s) and of ictal EEG
were analyzed. R e s u l t s : In interictal period, both frontal and occipital region appeared a weak driving force while
awake and this driving force was further weakened during sleep. Before the onset of the seizure (preictal phase), the
intensity of driving system became slightly stronger around seizure foci in 3 out of 8 seizures while no significant
change was seen on the naked eyes. However this change was dim and not continuous. At the onset of seizure (ictal
phase), 5 out of 8 seizures showed strong driving force around seizure foci. Three seizures without significant change
initially had strong driving force as synchronous seizure discharges became built-up and spreading to surrounding areas
in the middle of seizure. All seizures showed ipsilateral frontotemporal strong driving force and centroparietal response
system, which was typical spatio-temporal distribution of MCP. Conclusion : MCP analysis may be a useful method for
detecting spatio-temporal distribution and propagation pattern in temporal lobe epilepsy.Key Words : Temporal lobe epilepsy, EEG, Nonlinear interdependece, Mutual cross prediction (MCP), Spatio-temporal
distribution"
Keywords :
- 초록
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