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Separate lanes for adding and reading in the white matter highways of the human brain

机译:在人脑的白质高速公路上添加和阅读的单独车道

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摘要

Math and reading involve distributed brain networks and have both shared (e.g. encoding of visual stimuli) and dissociated (e.g. quantity processing) cognitive components. Yet, to date, the shared vs. dissociated gray and white matter substrates of the math and reading networks are unknown. Here, we define these networks and evaluate the structural properties of their fascicles using functional MRI, diffusion MRI, and quantitative MRI. Our results reveal that there are distinct gray matter regions which are preferentially engaged in either math (adding) or reading, and that the superior longitudinal and arcuate fascicles are shared across the math and reading networks. Strikingly, within these fascicles, reading- and math-related tracts are segregated into parallel sub-bundles and show structural differences related to myelination. These findings open a new avenue of research that examines the contribution of sub-bundles within fascicles to specific behaviors.
机译:数学和阅读涉及分布式脑网络,并且具有共享的(例如视觉刺激的编码)和分离的(例如数量处理)认知成分。然而,到目前为止,数学和阅读网络的共享灰阶和白灰阶衬底之间的关系还是未知的。在这里,我们定义了这些网络并使用功能性MRI,扩散MRI和定量MRI评估了其束的结构特性。我们的结果表明,存在着优先参与数学(加法)或阅读的不同灰质区域,并且卓越的纵向和弓形分册在整个数学和阅读网络中共享。引人注目的是,在这些分册中,与阅读和数学相关的部分被分成平行的子束,并显示出与髓鞘形成有关的结构差异。这些发现为研究分束内亚束对特定行为的贡献开辟了新的研究途径。

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