首页> 外文会议>IASTED International Symposia on Imaging and Signal Processing in Healthcare and Technology >STRENGTH AND TOPOGRAPHY OF SYNCHRONIZATION OF EEG DYNAMICS DURING SLEEP IN PATIENTS WITH EPILEPSY
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STRENGTH AND TOPOGRAPHY OF SYNCHRONIZATION OF EEG DYNAMICS DURING SLEEP IN PATIENTS WITH EPILEPSY

机译:癫痫患者睡眠期间EEG动力学同步的力量和地貌

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The occurrence of epileptic seizures and interictal epileptic-form discharges (e.g., spikes, sharp waves) are common during sleep. In this study, we investigated the changes in brain dynamics during sleep and wakefulness states in two patients with focal epilepsy. The electroencephalographic (EEG) activity was recorded from scalp electrodes continuously over several days. Three different measures of dynamics were employed: the measures of Energy (E), maximum Short-Term Lyapunov exponents (STL_(max)) and maximum Phase_(max). On the basis of these measures we then estimated the degree of entrainment (synchronization) of dynamics between brain sites. There is a significant (p<0.001) increase in dynamical entrainment during sleep compared to wakefulness, which is indicative of a higher level of synchronization during sleep versus awake. The nonlinear dynamical measure of STL_(max) is more sensitive in capturing this entrainment than the classical energy or phase measures. The topography of the observed dynamical entrainment, indicates that the spatial extent of the dynamical entrainment between different brain sites during sleep is larger compared to wakefulness. These spatiotemporal findings provide new insights into brain dynamics and the topography of their synchronization during sleep, and may lead to a better understanding of seizure onset and treatments.
机译:在睡眠期间发生癫痫发作和嵌入性癫痫症的出现(例如,尖峰,尖锐的波浪)是常见的。在这项研究中,我们在两名局灶性癫痫患者中调查了睡眠和清醒状态期间脑动力学的变化。从头皮电极连续地在几天内记录脑电图(EEG)活性。采用了三种不同的动态测量:能量(e),最大短期Lyapunov指数(STL_(MAX))和最大阶段(最大值)。在这些措施的基础上,我们估计了脑网站之间动态的夹带(同步)的程度。与清醒性相比,睡眠期间动态夹带的显着(p <0.001)增加,这表明睡眠期间较高的同步水平。 STL_(MAX)的非线性动力测量在捕获该夹带时比经典能量或相位措施更敏感。观察到的动力夹带的地形表明,与睡眠期间不同脑部位之间的动态夹带的空间程度更大。这些时空调查结果在睡眠期间对脑动力学和同步的地形提供了新的洞察力,并可能导致对癫痫发作和治疗的更好理解。

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