School of Psychology and Centre for Brain Research, University of Auckland, New Zealand.
School of Psychology and Centre for Brain Research, University of Auckland, New Zealand.
Neuropsychologia. 2019 Apr;127:204-210. doi: 10.1016/j.neuropsychologia.2019.02.002. Epub 2019 Feb 7.
Dyslexia, dyscalculia and their comorbid manifestation are prevalent disorders associated with well-documented behavioral manifestations. However, attempts to relate these manifestations to abnormalities in brain structure have yielded mixed results, with no clear consistency across a range of measures. In this study, we used a unique design including adults with dyslexia, dyscalculia, both disorders and controls, to explore differences in gray matter characteristics across groups. Specifically, we examined whether dyslexia, dyscalculia, or their comorbid manifestation could be related to volumetric and surface characteristics of gray matter, using voxel-based and surface-based morphometry. We demonstrate with Bayesian analyses that the present data favor the null model of no differences between groups across the brain, a result that is in line with recent findings in this field of research. Importantly, we provide detailed statistical maps to enable robust assessment of our findings, and to promote cumulative evaluation of the evidence. Together, these findings suggest that gray matter differences associated with dyslexia and dyscalculia might not be as reliable as suggested by previous literature, with important implications for our understanding of these disorders.
阅读障碍、计算障碍及其共病表现是常见的疾病,与有充分文献记载的行为表现有关。然而,将这些表现与大脑结构异常相关联的尝试产生了混杂的结果,在一系列测量中没有明确的一致性。在这项研究中,我们使用了一种独特的设计,包括患有阅读障碍、计算障碍、两种障碍和对照组的成年人,以探讨不同组之间灰质特征的差异。具体来说,我们使用基于体素和基于表面的形态测量学来检查阅读障碍、计算障碍或它们的共病表现是否与灰质的体积和表面特征有关。我们通过贝叶斯分析表明,目前的数据倾向于各组之间在大脑中没有差异的零模型,这一结果与该研究领域的最新发现一致。重要的是,我们提供了详细的统计图谱,以能够对我们的发现进行稳健评估,并促进对证据的累积评估。总之,这些发现表明,与阅读障碍和计算障碍相关的灰质差异可能并不像以前的文献所表明的那样可靠,这对我们理解这些疾病具有重要意义。