Brain Signal Variability as a Novel Marker of Flexible Cognition in Autism

脑信号变异性作为自闭症灵活认知的新标志

• 批准号: 10017363
• 负责人: Jason Scott Nomi
• 金额: $ 7.53万
• 依托单位: UNIVERSITY OF MIAMI CORAL GABLES
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-12 至 2021-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10017363
• 关键词: Address; Affect; Age; Area; Attention; Attention deficit hyperactivity disorder; Behavior; Behavior Therapy; Behavioral; Biological Markers; Brain; Brain region; Categories; Centers for Disease Control and Prevention (U.S.); Child; Clinical assessments; Cognition; Cognitive; Complement; Data; Development; Diagnosis; Diagnostic; Dimensions; Disease; Disease model; Early Diagnosis; Effectiveness; Entropy; Exhibits; Family; Functional Magnetic Resonance Imaging; Goals; Image; Impaired cognition; Individual; Intervention; Interview; Life; Link; Longevity; Measures; Minority; Modeling; Neurobiology; Neuropsychology; Neurosciences; Pattern; Performance; Prefrontal Cortex; Quality of life; Research; Research Proposals; Rest; Sampling; Schools; Severities; Signal Transduction; Site; Strategic Planning; Symptoms; Task Performances; Time; Work; autism spectrum disorder; base; blood oxygen level dependent; computational neuroscience; executive function; flexibility; improved; indexing; neural circuit; novel; novel marker; novel strategies; repetitive behavior; restrictive repetitive behavior; social; social communication; symptomatology; virtual

Project Summary The prevalance rate of autism spectrum disorder (ASD) is currently 1 out of 59 individuals (CDC, 2018). The current research proposal aims to introduce a new approach for characterization of ASD neurobiology inspired by computational neuroscience that relies on measures of brain signal variability. Previous research in typical individuals has shown that increased brain signal variability is more prevelant in younger individuals and those who perform better on tasks of flexible cognition. This makes brain signal variability a promising new measure of development and flexible cognition that can be used to investigate the neurobiology of ASD and associated inflexible behaviors that characterize the disorder (i.e., restrictive and repetitive behaviors). The current study will have two major goals: 1) identify differences in brain signal variability across development between individuals with and without a diagnosis of ASD, and 2) identify relationships between brain signal variability and restricted and repetitive behaviors in individuals with a diagnosis of ASD using a categorical approach, and in individuals with and without a diagnosis of ASD using a dimensional approach. This proposal aims to further the Interagency Autism Coordinating Committee’s strategic plan of understanding the neural circuitry underlying brain function in ASD. The results will help to create more sophisticated models of ASD neurobiology that incorporate multiple imaging measures of brain function. In turn, more sophisticated models of ASD neurobiology will help to guide and assess behavioral interventions aimed at improving the quality of life of individuals diagnosed with ASD.

项目摘要 自闭症谱系障碍（ASD）的患病率目前为59人中的1人（CDC，2018）。 目前的研究计划旨在介绍一种新的方法来表征ASD 神经生物学受计算神经科学的启发，依赖于大脑信号变化的测量。 以前对典型个体的研究表明，大脑信号变异性的增加更容易导致大脑信号的变化。 在年轻人和那些在灵活认知任务中表现更好的人中普遍存在。这使得 大脑信号变异性是一种有前途的新的发展和灵活的认知措施，可以使用 研究ASD的神经生物学和相关的不灵活行为， 紊乱（即，重复性和限制性行为）。目前的研究将有两个主要目标：1） 识别有和没有脑信号变异的个体之间在发育过程中的差异。 ASD的诊断，以及2）识别脑信号变异性与受限和 使用分类方法诊断ASD的个体中的重复行为，以及 使用维度方法对患有和未患有ASD的个体进行分析。这项建议旨在 进一步推进机构间自闭症协调委员会的战略计划， 自闭症谱系障碍的脑功能回路这些结果将有助于建立更复杂的模型， ASD神经生物学，包括多种脑功能成像测量。反过来，更多 ASD神经生物学的复杂模型将有助于指导和评估行为干预， 改善自闭症患者的生活质量。