Multimodal Brain Imaging in Autism Spectrum Disorders

自闭症谱系障碍的多模态脑成像

• 批准号: 7472617
• 负责人: Natalia M Kleinhans
• 金额: $ 16.22万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-05-01 至 2013-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7472617
• 关键词: Address; Affect; Affective; Age; Amygdaloid structure; Anisotropy; Anterior; Area; Asperger Syndrome; Attention; Autistic Disorder; Behavior; Behavioral; Brain; Brain imaging; Brain region; Childhood; Clinical; Cognitive; Consultations; Control Groups; Coupled; DSM-IV; Data; Diabetes Mellitus; Diagnostic; Diffusion Magnetic Resonance Imaging; Disease; Down Syndrome; Emotional; Etiology; Facial Expression; Functional Magnetic Resonance Imaging; Gender; Genetic; Image; Image Analysis; Impairment; Individual; Invasive; K-Series Research Career Programs; Language; Language Development; Magnetic Resonance Imaging; Malignant Neoplasms; Measures; Mediating; Memory; Methods; Metric; Modality; Modeling; Motor; Multimodal Imaging; Neurobiology; Nonverbal Communication; Not Otherwise Specified; Numbers; Patients; Pervasive Development Disorder; Population; Prevalence; Principal Investigator; Process; Radial; Rate; Reciprocal Social Interaction; Recording of previous events; Relative (related person); Research; Sampling; Sensory; Severities; Speech; Spinal Dysraphism; Symptoms; Training; Variant; autism spectrum disorder; base; cingulate cortex; developmental disease; disorder control; face perception; fusiform face area; in vivo; interest; neurobehavioral; neuroimaging; neuropathology; neuropsychiatry; normal aging; programs; relating to nervous system; response; skills; social; white matter

DESCRIPTION (provided by applicant): Several lines of evidence provide support for a model of abnormal connectivity to explain the underlying neuropathology of autism. However, no study has provided converging evidence of both functional and structural connectivity abnormalities in individuals with autism spectrum disorders (ASD). In this proposal, functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) will be used to investigate abnormalities in neural connectivity in ASD. We will study two domains of impairment (face perception and response to social information) and determine how neural connectivity relates to symptom severity. Twenty-five individuals with high functioning ASD (FSIQ > 80) and 25 typically developing (TD) individuals will participate in the study. The TD group will be matched to the ASD group according to age, gender, and FSIQ. White matter structural abnormalities (reduced fractional anisotropy) are hypothesized to be correlated to abnormal functional connectivity in ASD. The degree of abnormality in measures of structural and functional connectivity is expected to be mediated by clinical severity. A Career Development Award is requested in order to develop the skills necessary to conduct multimodal imaging research. The applicant will obtain training in DTI and develop methods for combining and statistically analyzing imaging data from different imaging modalities. Consultation and training from experts in the fields of neuroimaging and autism spectrum disorders will be augmented by coursework and seminars. The implementation of this training plan will yield a cohesive and thorough assessment of the integrity of white matter connections that underlie specific impairments in ASD.

描述（由申请人提供）：几条证据为异常连接模型提供了支持，以解释自闭症的潜在神经病理学。然而，没有研究提供了自闭症谱系障碍（ASD）患者功能和结构连接异常的证据。在这个建议中，功能磁共振成像（fMRI）和扩散张量成像（DTI）将被用来调查在ASD的神经连接异常。我们将研究损伤的两个领域（面部感知和对社会信息的反应），并确定神经连接如何与症状严重程度相关。25名患有高功能ASD（FSIQ > 80）的个体和25名典型发育（TD）个体将参与该研究。TD组将根据年龄、性别和FSIQ与ASD组匹配。假设白色物质结构异常（各向异性分数降低）与ASD中的异常功能连接相关。结构和功能连接性指标的异常程度预期由临床严重程度介导。职业发展奖是为了发展必要的技能进行多模态成像研究的要求。申请人将接受DTI培训，并开发用于组合和统计分析不同成像模式的成像数据的方法。神经成像和自闭症谱系障碍领域专家的咨询和培训将通过课程和研讨会得到加强。本培训计划的实施将产生一个连贯和彻底的评估白色物质连接的完整性，在ASD的具体损害的基础。