Multimodal Brain Imaging in Autism Spectrum Disorders

自闭症谱系障碍的多模态脑成像

• 批准号: 8248768
• 负责人: Natalia M Kleinhans
• 金额: $ 16.78万
• 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 2014-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8248768
• 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 Analysis; Impairment; Individual; K-Series Research Career Programs; Language; Language Development; Magnetic Resonance Imaging; Malignant Neoplasms; Measures; Mediating; Memory; Methods; Metric; Modeling; Motor; Multimodal Imaging; Neurobiology; Nonverbal Communication; Pervasive Development Disorder; Population; Prevalence; Principal Investigator; Process; Radial; Reciprocal Social Interaction; Recording of previous events; Relative (related person); Research; Sampling; Sensory; Severities; Specific qualifier value; Speech; Spinal Dysraphism; Symptoms; Training; Variant; autism spectrum disorder; base; cingulate cortex; developmental disease; disorder control; face perception; fusiform face area; imaging modality; in vivo; interest; neurobehavioral; neuroimaging; neuropathology; neuropsychiatry; normal aging; patient population; programs; relating to nervous system; response; skills; social; white matter

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.

多项证据为异常连接模型提供了支持，以解释其背后的原因 自闭症的神经病理学。然而，尚无研究提供功能性和功能性的一致证据。 自闭症谱系障碍（ASD）个体的结构连接异常。在这个提案中， 功能磁共振成像（fMRI）和扩散张量成像（DTI）将用于研究 自闭症谱系障碍（ASD）中神经连接异常。我们将研究两个领域的损伤（面部感知和 对社交信息的反应）并确定神经连接与症状严重程度的关系。二十- 5 名患有高功能自闭症谱系障碍 (FSIQ > 80) 的个体和 25 名典型发育 (TD) 个体将 参与研究。 TD 组将根据年龄、性别和 ASD 组进行匹配 FSIQ。假设白质结构异常（各向异性分数降低）是相关的 ASD 中功能连接异常。结构性指标和指标的异常程度 功能连接预计由临床严重程度介导。职业发展奖是 要求培养进行多模态成像研究所需的技能。申请人将 获得 DTI 培训并开发组合和统计分析来自的成像数据的方法 不同的成像方式。神经影像和自闭症领域专家的咨询和培训 谱系障碍将通过课程作业和研讨会得到加强。本次培训计划的实施 将对白质连接的完整性进行连贯而彻底的评估 自闭症谱系障碍（ASD）的特殊障碍。

项目成果

Neural correlates of emotional inhibitory control in autism spectrum disorders.

自闭症谱系障碍中情绪抑制控制的神经相关性。

• 发表时间: 2017-05
• 作者: Velasquez, Francisco;Qin, Xiaoyan Angela;Reilly, Melissa A;Neuhaus, Emily;Estes, Annette;Aylward, Elizabeth;Kleinhans, Natalia M
• 通讯作者: Kleinhans, Natalia M