Atypical Late Neurodevelopment in Autism: A Longitudinal MRI and DTI Study

自闭症的非典型晚期神经发育：纵向 MRI 和 DTI 研究

• 批准号: 8192107
• 负责人: JANET Elizabeth LAINHART
• 金额: $ 15.44万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8192107
• 关键词: 2 year old; 3 year old; 6 year old; Adult; Affect; Age; Age-Years; Anisotropy; Autistic Disorder; Base of the Brain; Brain; Brain region; Characteristics; Child; Childhood; Clinical; Clinical Data; Cognitive; Collaborations; Collection; Corpus Callosum; Data; Data Analyses; Data Collection; Data Set; Development; Developmental Process; Diffusion; Diffusion Magnetic Resonance Imaging; Disease; Environmental Risk Factor; Fiber; Funding; Genes; Growth and Development function; Image; Impairment; Individual; Inferior frontal gyrus; Intervention; Language; Language Development; Life; Longitudinal Studies; Magnetic Resonance Imaging; Measures; Minor; Modeling; Pattern; Perception; Population; Preventive Intervention; Process; Radial; Research; Research Personnel; Sampling; Scanning; Sensory; Severities; Site; Staging; Structure; Temporal Lobe; Thalamic structure; Time; United States National Institutes of Health; Universities; Utah; Wisconsin; Work; base; brain behavior; brain volume; case control; clinical phenotype; cohort; computerized data processing; disability; frontal lobe; functional outcomes; gray matter; improved; information processing; interest; male; morphometry; neurodevelopment; neuroimaging; neuropathology; neuropsychological; phonology; postnatal; processing speed; programs; time use; white matter

DESCRIPTION (provided by applicant): In addition to efforts to describe the earliest signs of autism, it is critical to continue efforts to understand the brain-basis of autism, how it changes over time, and how it is related to the changing manifestations of the disorder in children and adults. The population of already-affected individuals with autism is huge and growing. It has become clear that autism in these individuals is a dynamic disorder and that a sizeable proportion of affected individuals worsen rather than improve as they grow older. Individuals whose impairment does not worsen over time live with stable but significant lifelong disability. The objective of this research is to understand longitudinal brain mechanisms from childhood into adulthood in autism and how dynamic brain and clinical phenotype changes are related. This research will result in new information important for the development of new treatments and secondary and tertiary preventive interventions. The specific aims of this project are to collect time 3 and time 4 longitudinal structural and diffusion tensor neuroimaging at 3 Telsa along with clinical and neuropsychological data on a large cohort of children and adults with autism and typically developing individuals. The collection of time 1 and time 2 data was funded by the NIH Collaborative Program of Excellence in Autism. This is a case-control longitudinal study of the original cohort of 100 males with autism and 72 matched normal controls. Subjects in the cohort are equally divided into 4 age-bins. At time 1 they were 3-6, 7-11, 12-17, and 18-35 years of age. At time 2 they were 2 years older. At times 3 and 4 they will be 4 and 6 years older. 3 Telsa structural and diffusion tensor imaging data were collected at time 1 and time 2 and will be collected at time 3 and 4 on the single, same scanner used for time 1 and 2. The 3 major and minor eigenvalues and eigenvectors are determined and fractional anisotropy, mean diffusivity, and axial and radial diffusivity calculated for quantitative assessment of white matter integrity. Region of interests and whole-brain voxel-based analyses of both structural and diffusion tensor imaging data are performed, along with tractography. Detailed clinical and neuropsychological data are collected on all subjects and dynamic brain-behavior relationships studied. This project is a collaborative effort between the University of Utah, where all subjects are ascertained, assessed, and scanned, the University of Wisconsin, where all diffusion tensor imaging data are processed and analyzed, and Brigham Young University where all structural data are processed and analyzed. This collaborative group has been effectively and productively working together on this longitudinal study since 2002.

描述（由申请人提供）：除了努力描述自闭症的最早迹象之外，继续努力了解自闭症的大脑基础、它如何随时间变化以及它与儿童和成人疾病的变化表现有何关系也至关重要。已经患有自闭症的人数量庞大，而且还在不断增长。很明显，这些人的自闭症是一种动态疾病，相当大一部分受影响的人随着年龄的增长，病情恶化而不是改善。损伤不会随着时间的推移而恶化的个人患有稳定但严重的终身残疾。这项研究的目的是了解自闭症患者从童年到成年的纵向大脑机制，以及动态大脑和临床表型变化之间的关系。这项研究将为开发新疗法以及二级和三级预防干预措施提供重要的新信息。该项目的具体目标是在 3 Telsa 收集时间 3 和时间 4 的纵向结构和扩散张量神经影像，以及大量自闭症儿童和成人以及典型发育个体的临床和神经心理学数据。时间 1 和时间 2 数据的收集由 NIH 自闭症卓越合作计划资助。这是一项病例对照纵向研究，对象为 100 名自闭症男性和 72 名匹配的正常对照的原始队列。该队列中的受试者被平均分为 4 个年龄组。在时间 1，他们的年龄为 3-6、7-11、12-17 和 18-35 岁。在时间 2 时，他们大了 2 岁。在 3 岁和 4 岁的时候，他们会年长 4 岁和 6 岁。 3 Telsa 结构和扩散张量成像数据在时间 1 和时间 2 收集，并将在时间 3 和 4 在时间 1 和 2 使用的同一台扫描仪上收集。确定 3 个主要和次要特征值和特征向量，并计算分数各向异性、平均扩散率以及轴向和径向扩散率，以定量评估白质完整性。对结构和扩散张量成像数据进行感兴趣区域和基于全脑体素的分析，以及纤维束成像。收集所有受试者的详细临床和神经心理学数据以及所研究的动态大脑行为关系。该项目是犹他大学（所有受试者均经过确定、评估和扫描）、威斯康星大学（所有扩散张量成像数据均经过处理和分析）和杨百翰大学（所有结构数据均经过处理和分析）之间的合作成果。自 2002 年以来，这个合作小组一直在这项纵向研究中有效、富有成效地合作。