Department of Pediatrics, Hanyang University College of Medicine, Seoul, South Korea; Division of Neonatology and Developmental Medicine, Seoul Hanyang University Hospital, Seoul, South Korea.
Department of Electronic Engineering, Hanyang University, Seoul, South Korea.
Neuroimage Clin. 2021;29:102528. doi: 10.1016/j.nicl.2020.102528. Epub 2020 Dec 8.
Relative to full-term infants, very preterm infants exhibit disrupted white matter (WM) maturation and problems related to development, including motor, cognitive, social-emotional, and receptive and expressive language processing.
The present study aimed to determine whether regional abnormalities in the WM microstructure of very preterm infants, as defined relative to those of full-term infants at a near-term age, are associated with neurodevelopmental outcomes at the age of 18-22 months.
We prospectively enrolled 89 very preterm infants (birth weight < 1500 g) and 43 normal full-term control infants born between 2016 and 2018. All infants underwent a structural brain magnetic resonance imaging scan at near-term age. The diffusion tensor imaging (DTI) metrics of the whole-brain WM tracts were extracted based on the neonatal probabilistic WM pathway. The elastic net logistic regression model was used to identify altered WM tracts in the preterm brain. We evaluated the associations between the altered WM microstructure at near-term age and motor, cognitive, social-emotional, and receptive and expressive language developments at 18-22 months of age, as measured using the Bayley Scales of Infant Development, Third Edition.
We found that the elastic net logistic regression model could classify preterm and full-term neonates with an accuracy of 87.9% (corrected p < 0.008) using the DTI metrics in the pathway of interest with a 10% threshold level. The fractional anisotropy (FA) values of the body and splenium of the corpus callosum, middle cerebellar peduncle, left and right uncinate fasciculi, and right portion of the pathway between the premotor and primary motor cortices (premotor-PMC), as well as the mean axial diffusivity (AD) values of the left cingulum, were identified as contributive features for classification. Increased adjusted AD values in the left cingulum pathway were significantly correlated with language scores after false discovery rate (FDR) correction (r = 0.217, p = 0.043). The expressive language and social-emotional composite scores showed a significant positive correlation with the AD values in the left cingulum pathway (r = 0.226 [p = 0.036] and r = 0.31 [p = 0.003], respectively) after FDR correction.
Our approach suggests that the cingulum pathways of very preterm infants differ from those of full-term infants and significantly contribute to the prediction of the subsequent development of the language and social-emotional domains. This finding could improve our understanding of how specific neural substrates influence neurodevelopment at later ages, and individual risk prediction, thus helping to inform early intervention strategies that address developmental delay.
相较于足月婴儿,极早产儿的脑白质(WM)成熟度存在紊乱,且存在与发育相关的问题,包括运动、认知、社会情感、接受性语言处理和表达性语言处理。
本研究旨在确定极早产儿 WM 微观结构的区域性异常(与接近足月时的足月婴儿相比)是否与 18-22 个月时的神经发育结局相关。
我们前瞻性地招募了 89 名极早产儿(出生体重<1500 g)和 43 名正常足月的对照婴儿,他们均于 2016 年至 2018 年出生。所有婴儿均在接近足月时进行了脑部结构磁共振成像扫描。基于新生儿概率性 WM 通路,提取整个脑 WM 束的弥散张量成像(DTI)指标。采用弹性网络逻辑回归模型识别早产儿脑内的改变 WM 束。我们评估了接近足月时 WM 微观结构的改变与 18-22 个月时的运动、认知、社会情感和接受性及表达性语言发育之间的关联,这些关联通过使用贝利婴幼儿发育量表第三版来评估。
我们发现,弹性网络逻辑回归模型使用感兴趣通路的 DTI 指标,在 10%的阈值水平下,能够以 87.9%的准确率(校正 p<0.008)对早产儿和足月婴儿进行分类。胼胝体体部和压部、小脑中脑脚、左右钩束以及运动前皮质和初级运动皮质之间通路的右侧部分(运动前-PMC)的各向异性分数(FA)值,以及左扣带回束的平均轴向弥散度(AD)值,被确定为分类的贡献特征。校正后的左扣带束 AD 值升高与经假发现率(FDR)校正后的语言评分显著相关(r=0.217,p=0.043)。经 FDR 校正后,表达性语言和社会情感综合评分与左扣带束 AD 值呈显著正相关(r=0.226[p=0.036]和 r=0.31[p=0.003])。
我们的方法表明,极早产儿的扣带束通路与足月婴儿不同,并能显著预测语言和社会情感领域的后续发育。这一发现可以帮助我们更好地理解特定的神经基质如何影响年龄较大时的神经发育,并进行个体风险预测,从而有助于制定针对发育迟缓的早期干预策略。