Examination of Neurobehavioral Development Using the PING Data Resource

使用 PING 数据资源检查神经行为发育

基本信息

批准号：
8847701
负责人：
NATACHA AKSHOOMOFF
金额：
$ 27.48万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN DIEGO
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-07-01 至 2017-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8847701
关键词：
20 year old Adolescent Affect Age Area Attention Behavior Behavioral Biological Brain Brain region Cerebrum Child Childhood Cognition Cognitive Communities Complex Data Data Set Development Dimensions Fiber Funding Genetic Genetic Databases Genetic Markers Genomics Genotype Health Histocompatibility Testing Human Image Individual Individual Differences Knowledge Link Maps Measures Modeling Multimodal Imaging Mutation National Institute of Child Health and Human Development National Institute of Drug Abuse Neurobiology Neurocognition Outcome Participant Performance Phase Phenotype Physiological Play Preventive Intervention Process Property Recording of previous events Relative (related person)Research Project Grants Resources Risk Role Sampling Schools Short-Term Memory Signal Transduction Source Statistical Models Structure Surveys System Task Performances Testing Tissues Undifferentiated United States National Institutes of Health Variant aging brain behavior measurement brain behavior brain morphology cognitive ability cognitive change cognitive development cognitive function cognitive neuroscience cognitive skill design developmental disease early adolescence early childhood executive function flexibility genome-wide gray matter large-scale database morphometry neurobehavioral neuroimaging neurophysiology neuropsychiatry novel relating to nervous system success white matter

项目摘要

DESCRIPTION (provided by applicant): This three-year project will leverage a unique, recently collected set of data entitled Pediatric Imaging, Neurocognition, and Genetics (PING), which includes neuroimaging, cognitive, demographic, behavioral, and genome-wide genotyping data for over 1,200 children and adolescents ranging from 3 to 20 years of age. This is the largest source of neuroimaging, genomics, and cognitive data across the developmental age span assembled to date and was created as a resource to the scientific community. We will conduct the first comprehensive and well-powered study of cognitive development and state-of-the-art neural architectural phenotypes and genome-wide genotyping in a large typically developing pediatric sample to advance the understanding of the neurobehavioral development of executive functions. Our preliminary studies have demonstrated that the measures of brain morphology, diffusivity, and signal intensity show varying contributions to the prediction of developmental phase at different ages in this sample, reflecting a dynamic cascade of biological changes within different tissue types. Results from the NIH Toolbox Cognitive Battery show that these measures are sensitive to neurodevelopmental effects and provide rich information about a variety of important cognitive functions. Our research project has four Specific Aims designed to link individual variability in executive function performance to typically developing neural systems and genetic influences, using cutting-edge nonlinear multidimensional statistical modeling and a novel polygenic risk scores approach for assessing aggregate genetic influence. We predict that these results will enhance our understanding of how cognitive dimensions change and emerge with changing neural phenotypes, and the impact of individual sociodemographic variation. This is critical to understanding variability in behavioral and neuropsychiatric outcomes and developing important prevention and intervention efforts.

描述（由申请人提供）：这个为期三年的项目将利用一组独特的，最近收集的数据标题为“儿科成像，神经认知和遗传学”（PING），其中包括神经影像学，认知，人口统计学，行为，行为和基因组全基因组基因分型数据，以超过1,200名儿童和青少年3至20年的年龄范围为3至20年。这是迄今为止整个发育年龄跨度的神经影像学，基因组学和认知数据的最大来源，并作为科学界的资源创建了。我们将在大型通常开发的小儿样本中进行认知发展和最新的神经建筑表型和全基因组基因分型的首次全面且众多的研究，以促进对执行功能的神经行为发展的理解。我们的初步研究表明，脑形态，扩散率和信号强度的测量表明，该样品中不同年龄在不同年龄的发展阶段的预测有所不同，这反映了不同组织类型中生物学变化的动态级联。 NIH工具箱认知电池的结果表明，这些措施对神经发育效果敏感，并提供有关各种重要认知功能的丰富信息。我们的研究项目具有四个特定的目标，旨在使用尖端的非线性多维统计建模和一种新颖的多基因风险得分分数方法来评估总体遗传影响，旨在将执行功能性能的个体变异与通常开发神经系统和遗传影响联系起来。我们预测，这些结果将增强我们对认知维度如何随着神经表型的变化和出现的理解，以及单个社会人口统计学变化的影响。这对于理解行为和神经精神诊断的变异性以及发展重要的预防和干预工作至关重要。