上呼吸道体积预测青少年的大脑结构和认知能力
Adway Kanhere1,2, Nithya Navarathna1,2, Paul H Yi3
1University of Maryland Baltimore, Otorhinolaryngology, Baltimore, Maryland, United States.
概括
患有睡眠呼吸障碍 (SDB) 的儿童上呼吸道体积较小,影响认知. 深度学习分析揭示了气道体积作为儿科SDB认知结果的生物标志物.
科学领域:
- 儿科神经学 儿科神经学
- 神经成像是一种神经成像.
- 睡眠的药物 睡眠的药物
背景情况:
- 睡眠呼吸障碍 (SDB) 影响10%的儿童.
- 未经治疗的SDB与认知障碍有关,但机制尚不清楚.
研究的目的:
- 检查上呼吸道体积 (用MRI测量) 与儿童认知功能之间的关联.
- 为了研究上呼吸道体积和区域大脑灰质体积之间的关系.
主要方法:
- 在青少年大脑认知发育研究中利用了11,875名儿童 (年龄为9-10岁) 的数据.
- 将深度学习应用于MRI扫描,以获得上呼吸道体积.
- 使用NIH工具箱 (NIH-TB) 评估认知和测量皮质灰质体积.
主要成果:
- 习惯性打的孩子的气道体积显著减少.
- 气道体积预测了总认知复合得分和大多数NIH-TB域得分.
- 呼吸道体积增加与额头和部区域较大的灰质体积相关,调解认知结果.
结论:
- 基于深度学习的呼吸道细分为大型儿科队列提供了一种新的方法.
- 上呼吸道体积可以作为儿童SDB的认知结果的生物标志物.
- 这些发现提供了对神经生物学机制的洞察,并为风险分层提供了信息.
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