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出 处:《生物医学工程学杂志》2014年第2期245-250,共6页Journal of Biomedical Engineering
基 金:国家自然科学基金资助项目(60971110)
摘 要:在微电极阵列植入的有创电生理实验条件下,记录大鼠麻醉过程中初级视觉皮层(V1)局部场电位(LFP),采用非线性动力学分析方法得到时间演化的复杂度变化曲线,并结合热刺激甩尾延迟时间和心率两项麻醉深度辅助判定指标,通过视觉刺激实验验证复杂度判定麻醉状态的可靠性。实验结果表明,麻醉过程中LFP的复杂度变化趋势相似,在相同麻醉状态下,视觉刺激前后大鼠初级视觉皮层响应LFP的复杂度差异不显著;但是不同麻醉状态下视觉刺激前后的LFP的复杂度具有显著性差异,说明复杂度可以作为麻醉深度判定的指标。进一步利用优化方法得到判定麻醉深度的复杂度阈值,其可靠性和准确率较高,为开颅手术的患者临床麻醉状态检测提供了有效的方法。In the present study carried out in our laboratory, we recorded local field potential (LFP) signals in prima- ry visual cortex (V1 area) of rats during the anesthesia process in the electrophysiological experiments of invasive mi- croelectrode array implant, and obtained time evolutions of complexity measure Lempel-ziv complexity (LZC) by nonlinear dynamic analysis method. Combined with judgment criterion of tail flick latency to thermal stimulus and heart rate, the visual stimulation experiments are carried out to verify the reliability of anesthetized states by com- plexity analysis. The experimental results demonstrated that the time varying complexity measures LZC of LFP sig- nals of different channels were similar to each other in the anesthesia process. In the same anesthesia state, the difference of complexity measure LZC between neuronal responses before and after visual stimulation was not signifi- cant. However, the complexity LZC in different anesthesia depths had statistical significances. Furthermore, com- plexity threshold value represented the depth of anesthesia was determined using optimization method. The reliability and accuracy of monitoring the depth of anesthesia using complexity measure LZC of LFP were all high. It provided an effective method of realtime monitoring depth of anesthesia for eraniotomy patients in clinical operation.
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