Suppr超能文献

儿童的学业成绩与大脑白质连接组的全球组织有关。

Children's academic attainment is linked to the global organization of the white matter connectome.

机构信息

MRC Cognition and Brain Sciences Unit, Cambridge University, Cambridge, UK.

出版信息

Dev Sci. 2018 Sep;21(5):e12662. doi: 10.1111/desc.12662. Epub 2018 Mar 13.

Abstract

Literacy and numeracy are important skills that are typically learned during childhood, a time that coincides with considerable shifts in large-scale brain organization. However, most studies emphasize focal brain contributions to literacy and numeracy development by employing case-control designs and voxel-by-voxel statistical comparisons. This approach has been valuable, but may underestimate the contribution of overall brain network organization. The current study includes children (N = 133 children; 86 male; mean age = 9.42, SD = 1.715; age range = 5.92-13.75y) with a broad range of abilities, and uses whole-brain structural connectomics based on diffusion-weighted MRI data. The results indicate that academic attainment is associated with differences in structural brain organization, something not seen when focusing on the integrity of specific regions. Furthermore, simulated disruption of highly-connected brain regions known as hubs suggests that the role of these regions for maintaining the architecture of the network may be more important than specific aspects of processing. Our findings indicate that distributed brain systems contribute to the etiology of difficulties with academic learning, which cannot be captured using a more traditional voxel-wise statistical approach.

摘要

读写能力和计算能力是儿童时期通常会学习的重要技能,这个时期正好与大脑大规模组织的重大转变相吻合。然而,大多数研究通过采用病例对照设计和体素逐点统计比较,强调了大脑特定区域对读写和计算能力发展的贡献。这种方法很有价值,但可能低估了整体大脑网络组织的贡献。本研究纳入了具有广泛能力的儿童(N = 133 名儿童;86 名男性;平均年龄= 9.42,SD = 1.715;年龄范围= 5.92-13.75 岁),并使用基于弥散加权 MRI 数据的全脑结构连接组学。结果表明,学业成绩与结构大脑组织的差异有关,而当关注特定区域的完整性时,这种差异是看不到的。此外,模拟破坏已知的高度连接的脑区(即枢纽)表明,这些区域对于维持网络架构的作用可能比处理的特定方面更为重要。我们的研究结果表明,分布式脑系统有助于解释学业学习困难的病因,而这是传统的体素逐点统计方法无法捕捉到的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57f2/6175394/b4f4d3390561/DESC-21-na-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验