在完整和早产婴儿中新生儿大脑年龄模型
bioRxiv : the preprint server for biology
|February 6, 2026
概括
大脑年龄模型使用白质MRI数据准确预测婴儿大脑年龄. 然而,大脑年龄差距与早产婴儿的健康并发症无关,这表明临床使用的局限性.
科学领域:
- 神经科学是一个神经科学.
- 医疗成像医学成像
- 发展生物学 发展生物学
背景情况:
- 过早生育对婴儿大脑发育和神经发育结果构成风险.
- 目前用于识别有风险的早产婴儿的生物标志物有限.
- 对新生儿大脑成熟的准确评估至关重要.
研究的目的:
- 开发和验证白质新生儿大脑年龄模型,使用扩散MRI.
- 评估模型在描述早产婴儿大脑方面的准确性.
- 为了确定大脑年龄预测是否可以在临床测量之外提供婴儿健康信息.
主要方法:
- 使用扩散磁共振成像 (dMRI) 白质特征构建新生儿大脑年龄预测模型.
- 使用了两个数据集:正在开发的人类连接组项目 (dHCP) 和临床样本 (LPCH).
- 评估模型性能和大脑年龄差距与健康并发症的关联.
主要成果:
- 白质的特征准确地预测了健康 (dHCP) 和早产 (LPCH) 婴儿的大脑年龄.
- 预测准确度为dHCP的3.9天,为LPCH的6.6天.
- 大脑年龄差距与早产并发症综合分数没有显著的关联.
结论:
- 导管测量学衍生的大脑年龄模型有效地描述新生儿大脑成熟.
- 这些模型证明了研究和临床dMRI数据的准确性.
- 大脑年龄差距对临床并发症的敏感性有限,这表明需要使用多模式生物标志物.
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