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外，继续努力以了解自闭症的脑基础，自闭症的变化以及与儿童和成人疾病的变化表现如何相关。患有自闭症的人的人口庞大且增长。很明显，这些人的自闭症是一种动态障碍，并且很大一部分受影响的个体随着年龄的增长而加剧而不是改善。随着时间的流逝，损害的人不会恶化，但由于稳定但终生的严重残疾而生存。这项研究的目的是了解从儿童期到成年的纵向大脑机制，以及动态的大脑和临床表型的变化如何相关。这项研究将导致新的信息对于开发新疗法以及二级和三级预防干预措施至关重要。该项目的具体目的是收集时间3和时间4纵向结构和扩散张量张量在3 telsa，以及有关大量患有自闭症的儿童和成人的临床和神经心理学数据，通常是患有自闭症的人。时间1和时间2数据的收集是由NIH自闭症卓越协作计划资助的。这是对100名自闭症男性原始队列的病例对照纵向研究，有72个匹配的正常对照。队列中的受试者平均分为4年龄。在时间1时，他们是3-6、7-11、12-17岁和18-35岁。在时间2时，他们大2岁。在第3和4时，他们将年满4岁和6岁。在时间1和时间2中收集了3个TELSA结构和扩散张量成像数据，并将在时间3和4上收集单个，相同的扫描仪，用于时间1和时间2。确定了3个主要和次要的特征值和特征向量，并确定且分数各向异性，平均差异和轴向和轴向和辐射范围的量化量，以计算量。对结构和扩散量张量成像数据的兴趣区域和全脑体素的分析以及拖拉机进行了。详细的临床和神经心理学数据是在研究的所有受试者和动态的脑行为关系上收集的。该项目是犹他大学之间的一项合作努力，在该大学都确定，评估和扫描所有受试者，威斯康星大学都对所有扩散张量成像数据进行处理和分析，以及所有结构数据处理和分析的所有结构数据。自2002年以来，这个合作小组一直在进行这项纵向研究。