Enhancing the Autism Brain Imaging Data Exchange to Define the Autism Connectome

加强自闭症脑成像数据交换以定义自闭症连接组

• 批准号: 8823301
• 负责人: Adriana Di Martino
• 金额: $ 26.96万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-02-15 至 2017-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8823301
• 关键词: Address; Age; Architecture; Area; Attention deficit hyperactivity disorder; Autistic Disorder; Behavioral; Biological Psychiatry; Brain; Brain imaging; Child; Clinical; Collection; Communities; Comorbidity; Complex; Confidentiality; Data; Data Aggregation; Data Set; Diagnosis; Diagnostic; Diagnostic and Statistical Manual of Mental Disorders; Diffusion; Dimensions; Disease; Epigenetic Process; Female; Functional Magnetic Resonance Imaging; Future; Genetic; Health; Heterogeneity; Hyperactive behavior; Image; Impulsivity; Individual; International; Investigation; Investments; Letters; Literature; Magnetic Resonance Imaging; Matched Group; Measures; Minor; Modeling; Neurosciences; Participant; Performance; Phenotype; Plague; Principal Investigator; Privacy; Property; Psychopathology; Research Personnel; Resources; Rest; Sample Size; Sampling; Schedule; Scheme; Science; Severities; Sex Characteristics; Site; Source; Sum; Symptoms; Testing; Time; Variant; Work; autism spectrum disorder; base; brain behavior; comparison group; data exchange; data sharing; high reward; high risk; inattention; indexing; innovation; insight; male; member; men' s group; neural correlate; neurobiological mechanism; neuroimaging; neurophysiology; novel; relating to nervous system; repository; sex; success

DESCRIPTION (provided by applicant): The release of the Autism Brain Imaging Data Exchange (ABIDE) repository in August 2012 marked a milestone for the neuroimaging of autism spectrum disorders (ASD). This grass-roots initiative has generated an unprecedented, open sample of ASD neuroimaging data by aggregating and openly sharing resting state fMRI (R-fMRI), structural MRI, as well as phenotypic data previously collected from over 1100 individuals (539 with ASD and 573 sex- and age-matched typical controls (TC)) from 17 international sites. Feasibility analyses performed by the ABIDE consortium demonstrated the ability to successfully carry out exploration with such an aggregate dataset. Nevertheless, due to the complexity of the functional connectome and the substantial heterogeneity of ASD, larger and better-characterized samples are critical for effective and transformative discovery. Here, we aim to enhance the utility of the ABIDE resource and the innovation and significance of the questions it can address by increasing both its size (to at least twice as many datasets as in the original repository) and the breadth of the phenotypic data shared. First, an expanded repository will allow for the unprecedented performance of whole-brain functional connectivity group comparisons (ASD vs. TC) in two carefully matched split samples. We expect that the group differences emerging in both samples (i.e., the exploratory and discovery split-samples) will robustly represent the core neurophysiological correlates of ASD. Second, the expansion will increase the sample of females with ASD, who are usually drastically underrepresented in studies with smaller sample sizes. Proposed analyses will reveal properties of the intrinsic functional architecture of the ASD female brain, which, to date, remain completely unknown. Understanding sex differences in the neural substrates of ASD will provide insights into their underpinnings and consequently, into possible protective factors. Finally, the enhanced dataset will facilitate explorations of brain-behavior relationships, such as those relevant to the neurona correlates of psychiatric comorbidity in ASD. Specifically, primary analyses will focus on ADHD symptom ratings. At the same time, other measures of psychopathology included in the expansion of phenotypic data provided by this open sharing repository, will enable users to conduct further explorations. This high-risk, high-reward strategy has the potential to serve as a crucial linkage between clinical and brain phenotypes, and eventually extend to genetic and epigenetic applications. Thus, this novel exploratory project is high impact for a relatively minor investment. As with genetic discovery, where the strategy of data aggregation and open sharing has proven to be fruitful, this project will offer, within a short time frame, a unique and unprecedented resource: the results of analyses will form the basis for future targeted investigations into the complex neurobiological mechanisms underlying ASD.

描述（由申请人提供）：2012年8月自闭症脑成像数据交换（ABIDE）库的发布标志着自闭症谱系障碍（ASD）神经成像的里程碑。这项基层倡议通过聚合和公开共享静息状态fMRI（R-fMRI），结构MRI以及先前从17个国际站点收集的1100多名个体（539名ASD患者和573名性别和年龄匹配的典型对照（TC））的表型数据，产生了前所未有的ASD神经影像学数据开放样本。ABIDE联合体进行的可行性分析表明，有能力成功地利用这种综合数据集进行勘探。然而，由于功能性连接体的复杂性和ASD的实质性异质性，更大和更好表征的样品对于有效和变革性的发现至关重要。在这里，我们的目标是提高ABIDE资源的实用性，并通过增加其大小（至少是原始存储库中数据集的两倍）和共享表型数据的广度来解决问题的创新性和重要性。首先，扩展的存储库将允许在两个仔细匹配的分离样本中进行全脑功能连接组比较（ASD与TC）的前所未有的性能。我们预计，两个样本中出现的群体差异（即，探索和发现分裂样本）将有力地代表ASD的核心神经生理学相关性。其次，扩大将增加ASD女性的样本，这些女性在样本量较小的研究中通常代表性不足。拟议的分析将揭示ASD女性大脑的内在功能结构的特性，迄今为止，这仍然是完全未知的。了解ASD神经基质中的性别差异将有助于了解其基础，从而了解可能的保护因素。最后，增强的数据集将有助于探索大脑行为关系，例如与ASD中精神病合并症的神经元相关性。具体而言，主要分析将集中在ADHD症状评级。与此同时，这个开放共享库提供的表型数据扩展中包含的其他精神病理学指标，将使用户能够进行进一步的探索。这种高风险、高回报的策略有可能成为临床和大脑表型之间的关键联系，并最终扩展到遗传和表观遗传学应用。因此，这个新的探索性项目对一个相对较小的 投资与遗传发现一样，数据聚合和开放共享的策略已被证明是富有成效的，该项目将在短时间内提供独特和前所未有的资源：分析结果将成为未来针对ASD潜在复杂神经生物学机制的基础。