默认模式、额顶叶和显著性网络从怀孕三个月到新生儿期的发展轨迹

D. Scheinost, Joseph Chang, Emma Brennan‐Wydra, C. Lacadie, R. Constable, K. Chawarska, Laura R. Ment
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摘要

摘要 默认模式(DMN)、额顶叶(FPN)和显著性(SN)网络相互作用,支持一系列行为,易受环境损伤,并在神经发育障碍中被破坏。然而,它们在妊娠三个月和围产期的发展情况仍不为人知。利用静息态功能磁共振成像(resting-state functional MRI),我们研究了84名胎儿和新生儿在月龄后30周至32周、34周至36周和40周至44周的3个网络的内部和网络连接的发展轨迹。一项辅助分析探讨了孕产妇心理健康对这些网络的影响。DMN、FPN和SN的网内连通性在孕前36周至44周期间显著增加,在孕前40周时,所有3个网络的连通性测量值均显著大于0。SN和DMN之间以及SN和FPN之间的连通性明显下降,在36-44周时连通性值明显低于0。然而,DMN-FPN 的连接性在 30 到 44 周之间有所增加,在 36 个月时连接性已大于 0。最后,较高的母体压力水平对 30-44 周 PMA 的 SN 有负面影响。这些数据为比较有神经行为障碍风险的胎儿和新生儿以及评估环境对大脑发育的影响提供了一个规范框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developmental trajectories of the default mode, frontoparietal, and salience networks from the third trimester through the newborn period
Abstract The default mode (DMN), frontoparietal (FPN), and salience (SN) networks interact to support a range of behaviors, are vulnerable to environmental insults, and are disrupted in neurodevelopmental disorders. However, their development across the third trimester and perinatal transition remains unknown. Employing resting-state functional MRI at 30 to 32, 34 to 36, and 40 to 44 weeks postmenstrual age (PMA), we examined developmental trajectories of the intra- and internetwork connectivity of the 3 networks measured in 84 fetuses and neonates. A secondary analysis addressed the impact of maternal mental health on these networks. The DMN, FPN, and SN intranetwork connectivity evidenced significant increases between 36 and 44 weeks PMA, with connectivity measures reaching values significantly greater than 0 at 40 weeks PMA for all 3 networks. Connectivity between SN and DMN and between SN and FPN decreased significantly with the connectivity values significantly below 0 at 36–44 weeks. However, DMN-FPN connectivity increased between 30 and 44 weeks with the connectivity greater than 0 already at 36 months. Finally, higher maternal stress levels negatively affected the SN across 30-44 weeks PMA. These data provide a normative framework to compare fetuses and neonates at risk for neurobehavioral disorders and assess the impact of the environment on the developing brain.
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