SYSTEMS CONNECTIVITY + BRAIN ACTIVATION:IMAGING STUDIES OF LANGUAGE + PERCEPTION

这个项目的首要目标是将自闭症的主要症状与他们的神经异常联系起来。 底物，提供对自闭症的神经系统水平的分析，并专注于神经系统的连接。 主要的方法将是对几种不同类型的思维进行功能磁共振研究，以获得信息 关于潜在的大脑功能，并同时获得关于大脑的大小和完整性的信息 脑组织。功能磁共振成像研究将提供有关皮质激活的信息，但也将提供有关功能 连通性或区域间激活的同步。该项目开发了 一种理论的开端提出自闭症的特点是地区之间的无序连接， 尤其影响额区和更多后区之间的连通性。互联互通 框架被用来制定和测试假设，然后将新的发现整合到一个 连贯的理论。新的研究将加深和拓宽对潜在神经的理解 无序。深化将包括整合几种成像模式，以便连接 可以在更多层面和更详细地理解。扩大范围将包括检查更广泛的范围 包括概念性理解任务、高层次知觉任务和社会任务。这 对于确定脑功能特征的共性或特异性来说，脑电地形图的拓宽是必不可少的。 自闭症。具体目标是1：表征大脑在较高概念水平加工过程中的功能 语言理解、视觉认知和动态社会认知；2：表征语义 创新机器学习在孤独症患者个体词汇表征中的应用 FMRI数据的技术；3：将大脑的功能特征与解剖特征联系在一起 个体参与者水平；4：为了进一步发展自闭症的无序连接理论， 综合自闭症的功能(FMRI)和解剖(MRI和DTI)特征并使用计算 将建模作为一种理论构建工具。 这项研究将继续建立对行为之间关系的理解 自闭症的特征及其神经基础的损害。自闭症的连接模型研究进展 这项研究的基础对该领域产生了显著的影响，验证了复杂的信息 由Minshew、Goldstein和Williams进行的加工开发。事实证明，合并后的模型是 有望改变自闭症的概念，并为新的干预方法开辟道路(见 例如，欺骗学习)。这项研究涉及自闭症研究矩阵目标#2、6、22、23、26、34。

The overriding aim of this project is to relate the major symptoms of autism to abnormalities in their neural substrates, providing a neural systems-level analysis of autism, and focusing on neural systems connectivity. The primary method will be to perform fMRI studies of several different types of thinking to obtain information about underlying brain function, and to simultaneously acquire information about the size and integrity of brain tissues. The fMRI studies will provide information about cortical activation, but also about functional connectivity or the synchronization of the activation between areas. The project has developed the beginnings of a theory proposing that autism is marked by disordered connectivity among regions, particularly affecting the connectivity between frontal areas and more posterior areas. The connectivity framework is being used to formulate and test hypotheses and then integrate the new findings into a coherent theory. The new studies will deepen and broaden the understanding of the underlying neural disorder. The deepening will include the integration of several imaging modalities, so that the connectivity can be understood at more levels and in more detail. The broadening will consist of examining a wider range of tasks, to include conceptual comprehension, high-level perceptual tasks, and social tasks. This broadening is essential for determining the generality or specificity of the brain function characteristics of autism. The specifics aims are 1: To characterize brain function in the processing of higher conceptual levels of language comprehension, visual cognition, and dynamic social cognition; 2: To characterize the semantic representation of single words in individual participants with autism applying innovative machine learning techniques to fMRI data; 3: To relate functional characteristics of the brain to anatomical characteristics at the individual participant level; 4: To further develop the theory of disordered connectivity in autism, integrating functional (fMRI) and anatomical (MRI and DTI)characteristics of autism and using computational modeling as a theory-building tool. This research will continue to build an understanding of the relationship between the behavioral impairments that characterize autism and their neural basis. The connectivity model for autism advanced on the basis of this research has significantly influenced the field and validates the complex information processing development by Minshew, Goldstein and Williams. The combined model is proving to be promising in altering conceptualizations of autism and opening the way for new intervention methods(see deception learning for example). This research addresses Autism Research Matrix Goals # 2,6,22,23,26,34.