儿童注意力网络的特征 睡眠呼吸障碍儿童注意力网络的特征
Yunxiao Wu1, Yan Wang2,3, Changming Wang4
1Beijing Key Laboratory of Pediatric Diseases of Otolaryngology, Head and Neck Surgery, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, People's Republic of China.
Nature and science of sleep
|September 26, 2023
概括
患有阻塞性睡眠呼吸暂停 (OSA) 的儿童由于过度活跃的警报网络而表现出注意力受损. 儿科OSA的警报网络效率与疾病严重程度没有直接联系,需要对潜在的神经机制进行进一步研究.
科学领域:
- 儿科神经学 儿科神经学
- 睡眠医学 睡眠医学
- 认知神经科学 认知神经科学
背景情况:
- 睡眠呼吸障碍 (SDB) 在儿童中很普遍,可能会影响神经发育.
- 注意力缺陷是SDB儿童的常见问题,但根本的神经机制尚未完全理解.
研究的目的:
- 研究SDB儿童注意力网络的特征.
- 确定与儿科SDB注意力网络功能障碍相关的因素.
主要方法:
- 评估了228名儿童 (6-10岁) 的队列,包括对照组,初级打 (PS) 和阻塞性睡眠呼吸暂停 (OSA) 组.
- 进行了多睡眠图 (PSG),ADHD评分尺度和注意力网络测试 (ANT).
- 参与者根据SDB病史和阻塞性呼吸暂停下指数 (OAHI) 进行了分类.
主要成果:
- 与对照组相比,OSA组的体重指数更高,男孩比例更高.
- 注意力缺陷和过敏冲动性得分独立地与OAHI相关.
- 警报网络的效率在OSA组中高于对照组,但在调整后与OAHI没有线性相关.
结论:
- 患有OSA的儿童表现出与过度激活警报网络相关的注意力障碍.
- 警报网络的效率似乎与SDB严重程度没有直接关联.
- 需要进一步的研究来澄清小儿OSA注意力缺陷的神经基础.
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