Neural alterations in opioid-exposed infants revealed by edge-centric brain functional networks.
Neural alterations in opioid-exposed infants revealed by edge-centric brain functional networks.
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DOI：
10.1093/braincomms/fcac112
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发表时间：
2022
影响因子：
4.8
通讯作者：
Lin W
中科院分区：
文献类型：
--
作者：
Jiang W;Merhar SL;Zeng Z;Zhu Z;Yin W;Zhou Z;Wang L;He L;Vannest J;Lin W
产前阿片类药物暴露与多个神经发育领域的不良影响有关，包括认知、运动发育、注意力和视力。然而，这些异常的神经基础在很大程度上尚不清楚。共有 49 名婴儿（包括 21 名阿片类药物暴露者和 28 名对照者）入组，并在出生后（43±6 天）接受 MRI，包括静息态功能 MRI。构建了基于动态功能连接的以边缘为中心的功能网络，并采用机器学习方法来识别区分阿片类药物暴露婴儿与未暴露对照婴儿的神经特征。使用10次10倍交叉验证获得了73.6%的准确率（敏感性76.25%和特异性69.33%），大大优于使用传统静态功能连接获得的结果（准确度56.9%）。更重要的是，我们发现产前阿片类药物暴露优先影响网络间而不是网络内的动态功能连接，特别是视觉、皮层下和默认模式网络。在大脑区域和连接水平上也观察到了一致的结果，其中与视觉和高阶认知功能相关的大脑区域和连接在区分阿片类药物暴露婴儿和对照组中发挥着关键作用。我们的研究结果支持了在子宫内接触阿片类药物的婴儿的临床表型，并可能解释在该人群中观察到的较高的视觉和情感问题发生率。最后，我们的研究结果表明，以边缘为中心的网络可以通过抽象沿边缘的内在共同波动来更好地捕获阿片类药物暴露婴儿和对照组之间的神经差异，这可能为未来专注于研究产前阿片类药物暴露对神经发育的影响的研究提供一个有前途的工具。 Jiang等人报道了能够使用动态功能连接（dFC）区分阿片类药物暴露婴儿和对照组婴儿的大脑区域、连接和网络。特别是，产前阿片类药物暴露似乎优先影响与视觉、皮层下和默认模式网络相关的网络间 dFC，而不是网络内 dFC。
Prenatal opioid exposure has been linked to adverse effects spanning multiple neurodevelopmental domains, including cognition, motor development, attention, and vision. However, the neural basis of these abnormalities is largely unknown. A total of 49 infants, including 21 opioid-exposed and 28 controls, were enrolled and underwent MRI (43 ± 6 days old) after birth, including resting state functional MRI. Edge-centric functional networks based on dynamic functional connections were constructed, and machine-learning methods were employed to identify neural features distinguishing opioid-exposed infants from unexposed controls. An accuracy of 73.6% (sensitivity 76.25% and specificity 69.33%) was achieved using 10 times 10-fold cross-validation, which substantially outperformed those obtained using conventional static functional connections (accuracy 56.9%). More importantly, we identified that prenatal opioid exposure preferentially affects inter- rather than intra-network dynamic functional connections, particularly with the visual, subcortical, and default mode networks. Consistent results at the brain regional and connection levels were also observed, where the brain regions and connections associated with visual and higher order cognitive functions played pivotal roles in distinguishing opioid-exposed infants from controls. Our findings support the clinical phenotype of infants exposed to opioids in utero and may potentially explain the higher rates of visual and emotional problems observed in this population. Finally, our findings suggested that edge-centric networks could better capture the neural differences between opioid-exposed infants and controls by abstracting the intrinsic co-fluctuation along edges, which may provide a promising tool for future studies focusing on investigating the effects of prenatal opioid exposure on neurodevelopment. Jiang et al reported brain regions, connections, and networks capable of distinguishing opioid-exposed infants from controls using dynamic functional connectivity (dFC). In particular, prenatal opioid exposure appears to preferentially affect inter- instead of intra-network dFC in relation to visual, subcortical, and default mode networks.
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