北京理工大学医学技术学院
纸质出版:2026
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刘熠瑶, 宋泽雨, 王安聪, 等. 基于弥散张量成像的睡眠障碍对学龄初期儿童神经发育的影响[J]. 北京生物医学工程, 2026,45(1):1-7+30.
刘熠瑶, 宋泽雨, 王安聪, et al. 基于弥散张量成像的睡眠障碍对学龄初期儿童神经发育的影响[J]. 2026, 45(1): 1-7+30.
目的 基于弥散张量成像(diffusion tensor imaging
DTI)数据,探究受睡眠障碍影响的学龄初期儿童结构脑网络特征在神经发育过程中的变化趋势,为儿童神经发育研究提供量化工具。方法 基于125名6~12岁学龄初期儿童弥散张量数据,利用确定性纤维示踪技术,构建脑结构网络,囊括儿童常见睡眠障碍类型(入睡及维持睡眠的障碍、睡眠呼吸障碍、唤醒障碍、睡眠-觉醒过渡障碍、过度嗜睡、睡眠亢进症)的睡眠障碍综合评分,在控制无关变量(智力、性别、利手性)情况下,对学龄初期儿童结构脑网络图论参数与年龄及睡眠障碍评分进行相关性分析,并对其结果进行对比。结果 在结构脑网络图论属性上,年龄更大的儿童较年龄更小的儿童表现出更高的全局属性(全局效率、局部效率、聚类系数),额叶、前额叶、顶叶等多个脑区表现出更高的节点效率及节点中心度。睡眠障碍评分更高的儿童较得分更低的儿童表现出更低的全局属性,额叶、枕叶、颞叶等多个脑区表现出更低的节点效率。结论儿童在神经发育过程中,睡眠障碍会导致脑结构网络全局效率、局部效率、聚类系数及额叶、枕叶、颞叶、顶叶部分脑区节点效率出现下降趋势,可能导致睡眠障碍儿童全脑及脑区间信息传递效率及信息整合能力减弱,因此本研究对理解睡眠障碍儿童神经发育机制具有一定意义。
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