Cerebellar and Basal Ganglia Markers Underlie Neuromotor Impairments in Adults with Autism Spectrum Disorder (ASD)

小脑和基底神经节标记是成人自闭症谱系障碍 (ASD) 神经运动损伤的基础

基本信息

  • 批准号:
    10181598
  • 负责人:
  • 金额:
    $ 36.8万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-05-01 至 2026-04-30
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY/ABSTRACT Although conceptualized as a neurodevelopmental disorder with present research primarily focused on infants and children, autism spectrum disorder (ASD) has increasingly been recognized as a lifelong condition with the potential to have a detrimental impact on adult functioning and quality of life. Based on clinical observations that mid-to-older aged adults with ASD may be particularly susceptible to neurodegenerative diseases during aging, the proposed studies will test the central hypothesis that the cerebellum and basal ganglia are selectively disrupted in adults with ASD aged 40 to 60 years. And, this disruption is associated with neuromotor impairments and clinical signs of movement disorders. Free-water diffusion magnetic resonance imaging (FWdMRI) will be applied to quantify neuronal degeneration of the cerebellar lobules, dentate, and basal ganglia nuclei and axonal integrity of cerebellar peduncles to determine whether these subcortical targets are disrupted in adults with ASD relative to age-, sex-, and IQ-matched controls. Functional MRI (fMRI) of precision grip will be used to quantify abnormal activations of cortico-subcortical brain targets and whether these alterations underpin grip force production-related impairments in ASD. Using neuromotor tests sensitive in detecting alterations of the cerebellum and basal ganglia, we will clarify the extent to which performance of Romberg stances, quick step initiation, sit-to-stance balance, and goal-directed finger-pointing is compromised in adults with ASD. Guided by strong preliminary data, we will pursue three specific aims: Aim 1) Determine structural alterations in the cerebellum and basal ganglia in adults with ASD using FWdMRI. Aim 2) Determine functional deficits in the cerebellum and basal ganglia in adults with ASD using motor fMRI. Aim 3) Determine neuromotor impairments in adults with ASD. Our group is uniquely qualified to undertake this critical R01 project as it includes investigators with expertise and experience in sensorimotor neurophysiology in ASD, ASD diagnosis, aging and movement disorders, MRI physics and research, and biostatistics. This proposal is scientifically innovative as it will be the first to systematically quantify aging-related neuromotor issues in ASD at the levels of brain, behavioral, and clinical domains. This project is significant as it holds the promise to identify putative non-invasive traits of subcortical brain targets contributing to aging in ASD. If successful, this work will identify new brain and biobehavioral targets that can be tracked to understand, monitor, and treat aging-related conditions in ASD.
项目总结/文摘

项目成果

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Zheng Wang其他文献

Zheng Wang的其他文献

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{{ truncateString('Zheng Wang', 18)}}的其他基金

Cerebellar and Basal Ganglia Markers Underlie Neuromotor Impairments in Adults with Autism Spectrum Disorder (ASD)
小脑和基底神经节标记是成人自闭症谱系障碍 (ASD) 神经运动损伤的基础
  • 批准号:
    10399614
  • 财政年份:
    2021
  • 资助金额:
    $ 36.8万
  • 项目类别:
Cerebellar and Basal Ganglia Markers Underlie Neuromotor Impairments in Adults with Autism Spectrum Disorder (ASD)
小脑和基底神经节标记是成人自闭症谱系障碍 (ASD) 神经运动损伤的基础
  • 批准号:
    10619012
  • 财政年份:
    2021
  • 资助金额:
    $ 36.8万
  • 项目类别:
Cerebellar and basal ganglia contributions to neuromotor decline in adults with autism spectrum disorder (ASD)
小脑和基底神经节对自闭症谱系障碍 (ASD) 成人神经运动衰退的影响
  • 批准号:
    10056961
  • 财政年份:
    2020
  • 资助金额:
    $ 36.8万
  • 项目类别:
Advanced algorithms to infer and analyze 3D genome structures
用于推断和分析 3D 基因组结构的先进算法
  • 批准号:
    10027542
  • 财政年份:
    2020
  • 资助金额:
    $ 36.8万
  • 项目类别:
Advanced algorithms to infer and analyze 3D genome structures
用于推断和分析 3D 基因组结构的先进算法
  • 批准号:
    10708000
  • 财政年份:
    2020
  • 资助金额:
    $ 36.8万
  • 项目类别:
Advanced algorithms to infer and analyze 3D genome structures
用于推断和分析 3D 基因组结构的先进算法
  • 批准号:
    10237362
  • 财政年份:
    2020
  • 资助金额:
    $ 36.8万
  • 项目类别:

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