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Exploring Individual Brain Variability during Development based on Patterns of Maturational Coupling of Cortical Thickness: A Longitudinal MRI Study.基于皮质厚度成熟耦合模式探索发育过程中的个体大脑变异性:一项纵向 MRI 研究。
Cereb Cortex. 2019 Jan 1;29(1):178-188. doi: 10.1093/cercor/bhx317.
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Structural Covariance Networks in Children with Autism or ADHD.自闭症或注意力缺陷多动障碍儿童的结构协变网络。
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Associations of Newborn Brain Magnetic Resonance Imaging with Long-Term Neurodevelopmental Impairments in Very Preterm Children.新生儿脑磁共振成像与极早产儿长期神经发育障碍的关联
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Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth.模块化分离的结构脑网络支持青少年执行功能的发展。
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Prenat Diagn. 2017 Jul;37(7):647-657. doi: 10.1002/pd.5057. Epub 2017 Jun 1.
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Injured Brains and Adaptive Networks: The Benefits and Costs of Hyperconnectivity.受伤的大脑与适应的网络:超连接的好处与代价。
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Quantitative assessment of white matter injury in preterm neonates: Association with outcomes.早产儿白质损伤的定量评估:与预后的关联。
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NEOCIVET: Towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns.NEOCIVET:实现新生儿脑回形成的精确形态测量及在早产儿中的临床应用。
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围产期损伤后新生儿脑生长中基于脑沟的协方差网络的破坏和补偿。

Disruption and Compensation of Sulcation-based Covariance Networks in Neonatal Brain Growth after Perinatal Injury.

机构信息

Laboratory of Neuro Imaging at USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Ave, Los Angeles, CA 90033, USA.

Center for the Developing Brain, Child Mind Institute, New York, NY 10022, USA.

出版信息

Cereb Cortex. 2020 Nov 3;30(12):6238-6253. doi: 10.1093/cercor/bhaa181.

DOI:10.1093/cercor/bhaa181
PMID:32656563
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7609941/
Abstract

Perinatal brain injuries in preterm neonates are associated with alterations in structural neurodevelopment, leading to impaired cognition, motor coordination, and behavior. However, it remains unknown how such injuries affect postnatal cortical folding and structural covariance networks, which indicate functional parcellation and reciprocal brain connectivity. Studying 229 magnetic resonance scans from 158 preterm neonates (n = 158, mean age = 28.2), we found that severe injuries including intraventricular hemorrhage, periventricular leukomalacia, and ventriculomegaly lead to significantly reduced cortical folding and increased covariance (hyper-covariance) in only the early (<31 weeks) but not middle (31-35 weeks) or late stage (>35 weeks) of the third trimester. The aberrant hyper-covariance may drive acceleration of cortical folding as a compensatory mechanism to "catch-up" with normal development. By 40 weeks, preterm neonates with/without severe brain injuries exhibited no difference in cortical folding and covariance compared with healthy term neonates. However, graph theory-based analysis showed that even after recovery, severely injured brains exhibit a more segregated, less integrated, and overall inefficient network system with reduced integration strength in the dorsal attention, frontoparietal, limbic, and visual network systems. Ultimately, severe perinatal injuries cause network-level deviations that persist until the late stage of the third trimester and may contribute to neurofunctional impairment.

摘要

早产儿围产期脑损伤与结构神经发育改变有关,导致认知、运动协调和行为受损。然而,目前尚不清楚这些损伤如何影响产后皮质折叠和结构协变网络,而这些网络则表明功能分区和大脑的相互连通性。本研究对 158 名早产儿的 229 次磁共振扫描(n=158,平均年龄=28.2)进行了研究,我们发现严重的损伤,包括脑室周围出血、脑室周围白质软化和脑室扩大,仅在第三孕期的早期(<31 周)而不是中期(31-35 周)或晚期(>35 周)导致皮质折叠减少和协变(超协变)增加。异常的超协变可能是一种代偿机制,以“追赶”正常发育,从而加速皮质折叠。到 40 周时,有/无严重脑损伤的早产儿与健康足月产儿相比,皮质折叠和协变没有差异。然而,基于图论的分析表明,即使在恢复后,严重受损的大脑仍然表现出更离散、更不集成、整体效率更低的网络系统,其背侧注意、额顶叶、边缘和视觉网络系统的整合强度降低。最终,严重的围产期损伤导致网络层面的偏差,这种偏差一直持续到第三孕期的晚期,可能导致神经功能障碍。