Harmonizing multi-site diffusion MRI acquisitions for neuroscientific analysis across ages and brain disorders

协调多部位扩散 MRI 采集,用于跨年龄和脑部疾病的神经科学分析

基本信息

  • 批准号:
    10553703
  • 负责人:
  • 金额:
    $ 78.19万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-04-01 至 2025-01-31
  • 项目状态:
    未结题

项目摘要

Abstract( ! Diffusion MRI (dMRI) is the only non-invasive method that can map the living human brain’s connections and is critical for understanding mental disorders. Several large studies such as the Human Connectome Project (HCP) and the Adolescent Brain Cognitive Development (ABCD) have collected or are poised to collect diffusion MRI data from over 30,000 subjects. However, an important challenge is that these datasets collected from different scanners cannot be pooled for joint analysis due to large inter-scanner (inter-site) differences, caused by differences in vendor specific software for data reconstruction, the sensitivity of head coils etc. These scanner differences are often larger than the effect sizes observed between groups in psychiatric disorders. A second challenge for large-scale data analysis is the lack of a single consistent ontology-based definition and automated extraction of white matter connections across the lifespan (including neonates and children). A third challenge is the sheer size of the combined dMRI datasets (several terabytes), limiting the ability of researchers to test hypotheses as this requires expertise and complex computational resources for processing, storing, and visualizing such large volumes of data. In this grant, we propose to address these challenges to enable large- scale data-intensive analysis of dMRI data. Specifically, in Aim 1, we propose to develop novel mathematical algorithms to remove scanner-specific differences from data acquired at multiple sites. We will harmonize 10,000 subjects from the ABCD study acquired at 21 different sites, another 10,000 subjects from the HCP initiative spanning the entire lifespan and numerous disease indications and 10,000 subjects from the Healthy Brain Network. All the harmonized datasets (30,000 subjects), will be shared with the community using the NIMH data archive (NDA). In Aim 2, we will develop a formal ontology-based system for defining 189 white matter fascicles using neuroanatomical landmarks known from human and monkey literature on brain connectivity. Our main focus will be to develop novel algorithms for automated and consistent clustering and extraction of these fiber bundles spanning the entire human lifespan including neonates. To enable widespread use without the need for demanding computational resources and technical knowledge, in Aim 3, we will develop a web-based system for real-time 3D viewing and querying of the harmonized data and fascicles (integrating with NIMH data archive infrastructure) for a user-defined selection of subjects from the entire cohort of subjects across different diagnostic categories. Overall, the potential impact of this framework is significant, as it will, for the first time, allow a large-scale data-intensive analysis of dMRI data to study neurodevelopment as well as mental disorders cutting across diagnostic boundaries. !
文摘(

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Lauren Jean O'Donnell其他文献

Lauren Jean O'Donnell的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Lauren Jean O'Donnell', 18)}}的其他基金

Harmonizing multi-site diffusion MRI acquisitions for neuroscientific analysis across ages and brain disorders
协调多部位扩散 MRI 采集,用于跨年龄和脑部疾病的神经科学分析
  • 批准号:
    10334502
  • 财政年份:
    2019
  • 资助金额:
    $ 78.19万
  • 项目类别:
Harmonizing multi-site diffusion MRI acquisitions for neuroscientific analysis across ages and brain disorders
协调多部位扩散 MRI 采集,用于跨年龄和脑部疾病的神经科学分析
  • 批准号:
    9884823
  • 财政年份:
    2019
  • 资助金额:
    $ 78.19万
  • 项目类别:
Open source diffusion MRI technology for brain cancer research
用于脑癌研究的开源扩散 MRI 技术
  • 批准号:
    9324191
  • 财政年份:
    2015
  • 资助金额:
    $ 78.19万
  • 项目类别:
Novel diffusion MRI analysis for detection of mild traumatic brain injury
用于检测轻度创伤性脑损伤的新型扩散 MRI 分析
  • 批准号:
    8968514
  • 财政年份:
    2015
  • 资助金额:
    $ 78.19万
  • 项目类别:
Open source diffusion MRI technology for brain cancer research
用于脑癌研究的开源扩散 MRI 技术
  • 批准号:
    8971083
  • 财政年份:
    2015
  • 资助金额:
    $ 78.19万
  • 项目类别:
Open source diffusion MRI technology for brain cancer research
用于脑癌研究的开源扩散 MRI 技术
  • 批准号:
    9147560
  • 财政年份:
    2015
  • 资助金额:
    $ 78.19万
  • 项目类别:

相似海外基金

Enhancing Structural Competency in School-Based Health Centers to Address LGBTQ+ Adolescent Health Equity
增强校本健康中心的结构能力,以解决 LGBTQ 青少年健康公平问题
  • 批准号:
    10608426
  • 财政年份:
    2023
  • 资助金额:
    $ 78.19万
  • 项目类别:
Application and feasability of a brief digital screening tool to address parental and adolescent tobacco and electronic cigarette use in pediatric medical care - a pilot study
简短的数字筛查工具的应用和可行性,以解决儿科医疗中父母和青少年烟草和电子烟的使用问题 - 一项试点研究
  • 批准号:
    486580
  • 财政年份:
    2022
  • 资助金额:
    $ 78.19万
  • 项目类别:
    Studentship Programs
Co-design of an intervention to address alcohol use among adolescent boys and young men in Tanzania
共同设计一项干预措施,解决坦桑尼亚青春期男孩和年轻男性的饮酒问题
  • 批准号:
    MR/V032380/1
  • 财政年份:
    2022
  • 资助金额:
    $ 78.19万
  • 项目类别:
    Research Grant
Complex intervention to optimise adolescent BMI pre-conception to address the double burden of malnutrition: A RCT in rural and urban South Africa
优化青少年孕前体重指数以解决营养不良的双重负担的复杂干预措施:南非农村和城市的随机对照试验
  • 批准号:
    MR/V005790/1
  • 财政年份:
    2021
  • 资助金额:
    $ 78.19万
  • 项目类别:
    Research Grant
Application of a brief digital screening tool to address parental and adolescent tobacco and electronic cigarette use in pediatric medical care
应用简短的数字筛查工具来解决儿科医疗中父母和青少年烟草和电子烟的使用问题
  • 批准号:
    455984
  • 财政年份:
    2021
  • 资助金额:
    $ 78.19万
  • 项目类别:
    Operating Grants
Complex intervention to optimise adolescent BMI pre-conception to address the double burden of malnutrition: A RCT in rural and urban South Africa
优化青少年孕前体重指数以解决营养不良的双重负担的复杂干预措施:南非农村和城市的随机对照试验
  • 批准号:
    MR/V005790/2
  • 财政年份:
    2021
  • 资助金额:
    $ 78.19万
  • 项目类别:
    Research Grant
Development of the Cannabis Actions and Practices (CAP): A Parent-Focused Intervention to Address Adolescent Marijuana Use
大麻行动和实践 (CAP) 的发展:以家长为中心的干预措施,解决青少年大麻使用问题
  • 批准号:
    10057761
  • 财政年份:
    2020
  • 资助金额:
    $ 78.19万
  • 项目类别:
Development of the Cannabis Actions and Practices (CAP): A Parent-Focused Intervention to Address Adolescent Marijuana Use
大麻行动和实践 (CAP) 的发展:以家长为中心的干预措施,解决青少年大麻使用问题
  • 批准号:
    10213683
  • 财政年份:
    2020
  • 资助金额:
    $ 78.19万
  • 项目类别:
Targeted interventions to address the multi-level effects of gender-based violence on PrEP uptake and adherence among adolescent girls and young women in Kenya
有针对性的干预措施,以解决性别暴力对肯尼亚少女和年轻妇女接受和坚持 PrEP 的多层面影响
  • 批准号:
    9403567
  • 财政年份:
    2017
  • 资助金额:
    $ 78.19万
  • 项目类别:
Designing targeted interventions to address HIV vulnerabilities and improve clinical outcomes among conflict affected adolescent girls and young women under 25 in Northern Uganda
设计有针对性的干预措施,以解决乌干达北部受冲突影响的少女和 25 岁以下年轻妇女的艾滋病毒脆弱性并改善临床结果
  • 批准号:
    356145
  • 财政年份:
    2016
  • 资助金额:
    $ 78.19万
  • 项目类别:
    Operating Grants
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了