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首页> 外文期刊>Brain structure & function >Relating individual differences in white matter pathways to children's arithmetic fluency: a spherical deconvolution study
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Relating individual differences in white matter pathways to children's arithmetic fluency: a spherical deconvolution study

机译：与儿童算术流畅性的白质途径的个体差异相关：球形解卷积研究

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Connectivity between brain regions is integral to efficient complex cognitive processing, making the study of white matter pathways in clarifying the neural mechanisms of individual differences in arithmetic abilities critical. This white matter connectivity underlying arithmetic has only been investigated through classic diffusion tensor imaging, which, due to methodological limitations, might lead to an oversimplification of the underlying anatomy. More complex non-tensor models, such as spherical deconvolution, however, allow a much more fine-grained delineation of the underlying brain anatomy. Against this background, the current study is the first to use spherical deconvolution to investigate white matter tracts and their relation to individual differences in arithmetic fluency in typically developing children. Participants were 48 typically developing 9-10-year-olds, who were all in grade 4, and who underwent structural diffusion-weighted magnetic resonance imaging scanning. Theoretically relevant white matter tracts were manually delineated with a region of interest approach, after which the hindrance modulated orientational anisotropy (HMOA) index, which provides information on the structural integrity of the tract at hand, was derived for each tract. These HMOA indices were correlated with measures of arithmetic fluency, using frequentist and Bayesian approaches. Our results point towards an association between the HMOA of the right inferior longitudinal fasciculus and individual differences in arithmetic fluency. This might reflect the efficiency with which children process Arabic numerals. Other previously found associations between white matter and individual differences in arithmetic fluency were not observed.
机译：大脑区域之间的连接是一种有效的复杂认知处理，在澄清算术能力中的个体差异的神经机制方面是对白质途径的研究。通过经典的扩散张量成像仅研究了这种白体连接潜在的算术，这可能导致方法局限性，可能导致潜在的解剖结构过度简化。然而，更复杂的非张量模型，如球面碎片卷积，允许更细粒度的脑部解剖学描绘。在此背景下，目前的研究是第一个使用球面碎屑来调查白质散布及其与典型发展儿童算术流畅性差异的关系。参与者均为48岁时，均为9-10岁的人，均为4年级，曾经进行过结构扩散加权磁共振成像扫描。理论上相关的白质散布用感兴趣区域手动描绘，之后屈服调节的取向各向异性（HMOA）指数提供有关手中的尸体的结构完整性的信息，是针对每条紊乱。这些HMOA指数与算法流畅性的措施相关，使用频繁的频率和贝叶斯方法。我们的结果朝向右下纵向纵向坐毛的HMOA与算术流畅性的个体差异之间的关联。这可能反映了儿童处理阿拉伯数字的效率。未观察到其他以前发现的白金与算术流畅性差异之间的关联。

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