Longitudinal associations between white matter maturation and cognitive development across early childhood
Longitudinal associations between white matter maturation and cognitive development across early childhood
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DOI：
10.1002/hbm.24690
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发表时间：
2019-10-01
影响因子：
4.8
通讯作者：
Muller, Hans-Georg
中科院分区：
文献类型：
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作者：
Dai, Xiongtao;Hadjipantelis, Pantelis;Muller, Hans-Georg
从出生到5岁，大脑结构成熟并伴随着新出现的认知和行为能力而发展。在将同时的认知功能与大脑结构的测量联系起来时，一个主要的挑战阻碍了对它们时间动态关系的先前研究，即大多数纵向神经成像数据的稀疏性和不规则性。我们演示了如何通过将功能并发回归模型(FCRM)应用于纵向认知和神经成像数据来解决这个问题。FCRM在神经成像中的应用是通过从2-48个月大的健康儿童队列(n=210)获得的纵向神经成像和认知数据来说明的。通过使用髓鞘水分数(MWF)作为MRI扫描得出的成像指标来量化白质髓鞘，应用这一方法揭示了一个早期阶段(200-500天)，在此期间，由MWF量化的全脑和局部白质结构与认知能力呈正相关，而我们发现全脑白质体积没有这种相关性。调整基线协变量，包括母亲教育(SES-ME)衡量的社会经济地位(SES-ME)、婴儿喂养实践、性别和出生体重，进一步表明SES-ME与认知发展与儿童年龄的相关性越来越大。这些结果揭示了大脑和认知发展的新模式，表明FCRM为研究这些不断演变的关系提供了一个有用的工具。
From birth to 5 years of age, brain structure matures and evolves alongside emerging cognitive and behavioral abilities. In relating concurrent cognitive functioning and measures of brain structure, a major challenge that has impeded prior investigation of their time-dynamic relationships is the sparse and irregular nature of most longitudinal neuroimaging data. We demonstrate how this problem can be addressed by applying functional concurrent regression models (FCRMs) to longitudinal cognitive and neuroimaging data. The application of FCRM in neuroimaging is illustrated with longitudinal neuroimaging and cognitive data acquired from a large cohort (n = 210) of healthy children, 2-48 months of age. Quantifying white matter myelination by using myelin water fraction (MWF) as imaging metric derived from MRI scans, application of this methodology reveals an early period (200-500 days) during which whole brain and regional white matter structure, as quantified by MWF, is positively associated with cognitive ability, while we found no such association for whole brain white matter volume. Adjusting for baseline covariates including socioeconomic status as measured by maternal education (SES-ME), infant feeding practice, gender, and birth weight further reveals an increasing association between SES-ME and cognitive development with child age. These results shed new light on the emerging patterns of brain and cognitive development, indicating that FCRM provides a useful tool for investigating these evolving relationships.