Towards Baby Brain Connectome: a Study of Newborn Brain Networks

走向婴儿大脑连接组:新生儿大脑网络的研究

基本信息

项目摘要

DESCRIPTION (provided by applicant): The growing incidence of preterm birth (>500,000/year in the US) and birth injuries (>25,000/year in the US) have had a profound impact on society, with millions of dollars devoted to the healthcare and education of these children in addition to the physical and emotional stress on the affected families. There is a tremendous need for early detection and intervention. Magnetic resonance imaging has provided a powerful tool for the noninvasive study and monitoring of the infant brain. Developments in MRI over the last decade have allowed visualization of not only gross anatomic features, but also functional aspects of the brain using methods such as BOLD and microstructural organization using diffusion. More recently, post-processing techniques have advanced these techniques to further the study of mesoscale developing networks in the brain. The goal of this Bioengineering Research Grant is to investigate the development of structural and functional connectivity networks in the newborn brain from 26 weeks of gestational age to 1 year of life and correlating with clinical outcome. By doing so, we aim to gain a better insight ino how the human brain shapes and reshapes itself in to normal and abnormal conditions and to determine whether these network metrics maybe used as an early biomarker for determining developmental trajectories.
描述(由申请人提供):早产(在美国> 500,000/年)和出生损伤(在美国> 25,000/年)的发生率不断增加,对社会产生了深远的影响,除了对受影响家庭的身体和情感压力外,还将数百万美元用于这些儿童的医疗保健和教育。非常需要早期发现和干预。磁共振成像为婴儿大脑的无创研究和监测提供了强有力的工具。在过去的十年中,MRI的发展不仅允许大体解剖特征的可视化,而且还允许使用诸如BOLD和使用扩散的微结构组织的方法的大脑的功能方面的可视化。最近,后处理技术已经推进了这些技术,以进一步研究大脑中的中尺度发展网络。这项生物工程研究资助的目标是研究从胎龄26周至1岁的新生儿大脑中结构和功能连接网络的发展,并与临床结果相关。通过这样做,我们的目标是更好地了解人类大脑如何在正常和异常条件下塑造和重塑自己,并确定这些网络指标是否可以用作确定发育轨迹的早期生物标志物。

项目成果

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Christopher Paul Hess其他文献

Christopher Paul Hess的其他文献

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{{ truncateString('Christopher Paul Hess', 18)}}的其他基金

IMPROVED MONITORING OF PREMANIFEST AND EARLY HUNTINGTONS USING 7T MULTIMODAL MRI
使用 7T 多模态 MRI 改进对预兆和早期亨廷顿舞蹈症的监测
  • 批准号:
    10210445
  • 财政年份:
    2017
  • 资助金额:
    $ 60.4万
  • 项目类别:
IMPROVED MONITORING OF PREMANIFEST AND EARLY HUNTINGTONS USING 7T MULTIMODAL MRI
使用 7T 多模态 MRI 改进对预兆和早期亨廷顿舞蹈症的监测
  • 批准号:
    9384464
  • 财政年份:
    2017
  • 资助金额:
    $ 60.4万
  • 项目类别:
Towards Baby Brain Connectome: a Study of Newborn Brain Networks
走向婴儿大脑连接组:新生儿大脑网络的研究
  • 批准号:
    9185336
  • 财政年份:
    2013
  • 资助金额:
    $ 60.4万
  • 项目类别:
Towards Baby Brain Connectome: a Study of Newborn Brain Networks
走向婴儿大脑连接组:新生儿大脑网络的研究
  • 批准号:
    8602843
  • 财政年份:
    2013
  • 资助金额:
    $ 60.4万
  • 项目类别:
Towards Baby Brain Connectome: a Study of Newborn Brain Networks
走向婴儿大脑连接组:新生儿大脑网络的研究
  • 批准号:
    8966689
  • 财政年份:
    2013
  • 资助金额:
    $ 60.4万
  • 项目类别:

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