UW Autism Research Center of Excellence

华盛顿大学自闭症研究卓越中心

基本信息

  • 批准号:
    7073285
  • 负责人:
  • 金额:
    $ 173.33万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2003
  • 资助国家:
    美国
  • 起止时间:
    2003-05-13 至 2008-04-30
  • 项目状态:
    已结题

项目摘要

The UW STAART Center will address the following overall objectives: (1) To determine social, linguistic, neuropsychological, and electrophysiological characteristics that distinguish very young children with autism from children with developmental delay and those with typical development. Such research will enhance our ability to recognize autism early in life so that children with autism can be helped as early as possible, and their long-term outcome can be improved (Projects I and II). (2) To assess the efficacy of early intensive behavioral intervention for improving outcomes for children with autism, and to determine whether child neurocognitive factors moderate the effects of early intervention. Such knowledge will inform decisions regarding individualized interventions, elucidate brain mechanisms, and shed light on questions related to brain plasticity (Project I). (3) To increase our understanding of the neurobiological bases of autism by studying abnormalities in brain structure (via magnetic resonance imaging) and brain chemistry (via magnetic resonance spectroscopy) in very young children with autism, as compared to children with developmental delay and those with typical development (Project III). (4) To enhance our understanding of the cognitive neuroscience of autism by studying core social cognition impairments in high-functioning individuals with autism using event related brain potentials and functional magnetic resonance imaging. This information is relevant for early identification, development of more refined interventions, and measurement of quantitative genetic traits (Project IV). (5) To conduct molecular biology studies aimed at gene discovery in autism. Identification of susceptibility genes in autism is important for early identification, prevention, and medical treatment (Project V).
西澳大学斯塔特中心将实现以下总体目标:

项目成果

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专利数量(0)

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Geraldine Dawson其他文献

Geraldine Dawson的其他文献

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{{ truncateString('Geraldine Dawson', 18)}}的其他基金

Novel Approaches to Infant Screening for ASD in Pediatric Primary Care
儿科初级保健中婴儿自闭症谱系障碍筛查的新方法
  • 批准号:
    10443752
  • 财政年份:
    2019
  • 资助金额:
    $ 173.33万
  • 项目类别:
Scalable Computational Platform For Active Closed-Loop Behavioral Coding in Autism Spectrum Disorder
用于自闭症谱系障碍主动闭环行为编码的可扩展计算平台
  • 批准号:
    10440249
  • 财政年份:
    2019
  • 资助金额:
    $ 173.33万
  • 项目类别:
Novel Approaches to Infant Screening for ASD in Pediatric Primary Care
儿科初级保健中婴儿自闭症谱系障碍筛查的新方法
  • 批准号:
    10227331
  • 财政年份:
    2019
  • 资助金额:
    $ 173.33万
  • 项目类别:
Novel Approaches to Infant Screening for ASD in Pediatric Primary Care
儿科初级保健中婴儿自闭症谱系障碍筛查的新方法
  • 批准号:
    10018110
  • 财政年份:
    2019
  • 资助金额:
    $ 173.33万
  • 项目类别:
Novel Approaches to Infant Screening for ASD in Pediatric Primary Care
儿科初级保健中婴儿自闭症谱系障碍筛查的新方法
  • 批准号:
    10670242
  • 财政年份:
    2019
  • 资助金额:
    $ 173.33万
  • 项目类别:
Scalable Computational Platform For Active Closed-Loop Behavioral Coding in Autism Spectrum Disorder
用于自闭症谱系障碍主动闭环行为编码的可扩展计算平台
  • 批准号:
    9791518
  • 财政年份:
    2019
  • 资助金额:
    $ 173.33万
  • 项目类别:
Neural signatures, developmental precursors, and outcomes in young children with ASD and ADHD
患有 ASD 和 ADHD 的幼儿的神经特征、发育前兆和结果
  • 批准号:
    10227712
  • 财政年份:
    2017
  • 资助金额:
    $ 173.33万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10698185
  • 财政年份:
    2017
  • 资助金额:
    $ 173.33万
  • 项目类别:
Co-occurring ADHD in young children with ASD: Precursors, detection, neural signatures, and early treatment
患有 ASD 的幼儿同时发生 ADHD:先兆、检测、神经特征和早期治疗
  • 批准号:
    9385863
  • 财政年份:
    2017
  • 资助金额:
    $ 173.33万
  • 项目类别:
Duke Autism Center of Excellence: A translational digital health and computational approach to early identification, outcome monitoring, and biomarker discovery in autism
杜克大学自闭症卓越中心:用于自闭症早期识别、结果监测和生物标志物发现的转化数字健康和计算方法
  • 批准号:
    10523403
  • 财政年份:
    2017
  • 资助金额:
    $ 173.33万
  • 项目类别:

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