fMRI功率频谱的非周期性参数与早产和新生儿年龄有关
Ilkka Suuronen1,2,3, Silja Luotonen4,5,6,7, Henry Railo4,8
1FinnBrain Birth Cohort Study, Department of Clinical Medicine, Turku Brain and Mind Center, University of Turku, Turku, Finland. ilksuu@utu.fi.
Communications biology
|January 22, 2026
概括
早产婴儿的大脑发育至关重要. 功能性MRI (fMRI) 揭示了与早产和性别相关的大脑活动的差异,并可以使用非周期性BOLD信号参数预测年龄.
科学领域:
- 神经科学是一个神经科学.
- 发育神经科学的发展神经科学.
- 医疗成像医学成像
背景情况:
- 围产期对于婴儿大脑发育至关重要.
- 早产会增加神经发育障碍的风险.
- 以前的研究表明,结构性MRI和早产之间存在很强的联系,但功能性MRI (fMRI) 的联系较弱.
研究的目的:
- 为了研究血液氧气水平依赖 (BOLD) 信号功率谱的无周期组件与早产的关联.
- 将这些关联与月经后年龄 (PMA),产后年龄和性别进行映射.
- 通过机器学习评估fMRI衍生参数对预测婴儿年龄的有用性.
主要方法:
- 使用了来自开发人类结合体项目 (dHCP) 的无任务新生儿fMRI数据集.
- 分析了来自中心前和中心后旋转的BOLD信号功率谱的无周期组件.
- 采用机器学习回归来根据90个皮层和皮层下区域的非周期性参数预测参与者的年龄.
主要成果:
- 在早产婴儿和早产婴儿之间的非周期性BOLD信号组件中发现了显著的差异.
- 发现了非周期性成分与PMA,产后年龄和性别的明显关联.
- 在使用非周期性参数的机器学习回归来预测参与者的年龄时,获得了相对较高的准确性 (R2测试0.20-0.41).
结论:
- 新生儿fMRI中BOLD信号的无周期组件对早产和性别敏感.
- 从fMRI衍生的无周期性参数显示出非侵入性评估神经发育轨迹和预测婴儿年龄的潜力.
- 这种方法可能为大脑发育提供新的见解,并告知早期识别神经发育状况.
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