摘要
目的:探讨孤独症儿童脑象图的特征。方法:分别采集了24名临床诊断为孤独症儿童和相同人数且年龄性别与其一致被认定为正常的儿童的脑电图,借助依据混沌动力学原理建立网络数学模型,运用电子计算机数码成像的专利技术软件,将其绘制为立体几何图形即脑象图,并依据脑象图技术业已认定的各类特征性脑象图进行归类,采用统计学方法对两组儿童脑象图进行比较分析。结果:孤独症组儿童隧道形、鹰目形、莲花形、奇异形和简洁形等经典脑象图形的比例分别是(%):10.1 ±1.6、2.4 ±1.3、0.6 ±1.4、2.7 ±1.4和57.4 ±1.9,正常组儿童这些经典图形的比例分别是(%):15.4 ±1.5、4.4±1.1、2.0 ±1.2、5.6 ±1.5和66.4 ±1.7,与正常组儿童比较,孤独症组儿童这些图形比例均显著降低,差异显著(p <0.05);而孤独症组儿童边缘脑象图形的比例(%,22.8 ±1.7)显著高于正常儿童组(3.2 ±1.6),差异极显著(p <0.01)。结论:孤独症儿童在各个脑区有更高频率的边缘形脑象图,这或许可作为评价儿童孤独症的新指征。
To explore the Q-EEG (three-dimensional geomorphic chart from e1ectroencephalo- graph) characteristic of autism child. Methods: The e1ectroencephalograph (EEG) of 24 autism children and 24 normal children being diagnosed was respectively collected. And the patent software according to primal chaos dynamics principle, based on computer digital imaging technology was applied to change the EEG to three-dimensional geomorphic chart (Q-EEG). Then biology statitics methods were applied to compare and analyze the Q-EEGs being classified of autism children and normal children. Result: The ratio of tunnel shape, hawk-eyed shape, lotus shape, bizarre shape and terse shape from autism children Q-EEGs was respe- ctively(%): 10.1 ±1.6, 2.4 ±1.3, 0.6 ±1.4, 2.7 ±1.4 and 57.4 ±1.9, and the ratio of relavant shape from normal children Q-EEGs was respectively(%): 15.4 ±1.5, 4.4 ±1.1, 2.0 ±1.2, 5.6 ±1.5 and 66.4 ±1.7. Compared with normal children Q-EEGs, the ratio of these typical shapes from autism children Q-EEGs showed significant decrease。
出处
《生物医学》
2011年第2期17-21,共5页
Hans Journal of Biomedicine
