Multi-site Study of Dyslexia

项目摘要/摘要 [拟议的研究验证了这样的假设，即非典型的大脑对称性增加了罹患 阅读障碍是通过表达与阅读障碍相关的已知基因来调节大脑发育。]而当 早期有令人振奋的发现将颞面对称性与阅读障碍联系起来，由于以下原因的研究局限性 样本量小，测量方法不一致，以及不同的行为和遗传特征 受试者产生了不一致的结果。在这里，我们检查了颞平面和其他大脑对称性 与阅读障碍有关]。我们通过使用现有的大型数据集来解决以前研究的局限性 遗传、神经成像和行为数据，以及我们在当前开发的多部位方法 资助期，使之有可能解决阅读困难假说与大型多站点数据集。我们有 展示了处理丢失数据、获取各种图像和行为异构性的能力 受抽样方法影响的阅读困难样本的数量。[具体目标1是检验假设 在特定的阅读障碍特征中观察到非典型的大脑不对称，从理论上和 以经验为基础，并映射到不同的遗传风险。具体目标2是检查在何种程度上 阅读障碍的特定遗传风险变异会影响大脑不对称的发展。具体目标3 是开发基于云的基础设施，为研究人员提供用于研究的辅助数据 并复制我们的发现(例如，与阅读障碍有关的大脑不对称测量)。结果将提供 关于阅读障碍的大脑不对称假说的共识，因为我们的数据集很大，而且是协作的 方法，为阅读障碍提供行为神经遗传学解释，并为研究提供资源 促进我们对阅读障碍和其他发育障碍的了解。]

PROJECT SUMMARY/ABSTRACT [The proposed research tests the hypothesis that atypical cerebral symmetries increase the risk for dyslexia through the expression of dyslexia-related genes that are known to regulate brain development.] While there were early promising findings linking planum temporale symmetry to dyslexia, study limitations due to small sample size, inconsistent measurement methods, and varied behavioral and genetic profiles of the subjects produced inconsistent results. [Here we examine planum temporale and other cerebral symmetries associated with dyslexia]. We address the limitations of previous studies by using a large dataset of existing genetic, neuroimaging, and behavioral data, as well as multi-site methods that we developed in the current funding period that make it possible to address dyslexia hypotheses with large multisite datasets. We have demonstrated the ability to deal with missing data, varied image acquisitions, and the behavioral heterogeneity of dyslexia samples that is influenced by sampling approaches. [Specific Aim 1 is to test the hypothesis that atypical cerebral asymmetries are observed for specific reading disability profiles, which are theoretically and empirically-grounded and map to different genetic risks. Specific Aim 2 is to examine the degree to which specific genetic risk variants for dyslexia influence the development of cerebral asymmetries. Specific Aim 3 is to develop the cloud-based infrastructure to provide investigators with secondary data for use in their studies and to replicate our findings (e.g., cerebral asymmetry measures related to dyslexia). The results will provide a consensus on the cerebral asymmetry hypothesis for dyslexia because of our large dataset and collaborative approach, provide behavioral neurogenetic explanations for dyslexia, and provide resources to the research community to advance our understanding of dyslexia and other developmental disorders.]