Quantitative Imaging of Mouse Brain Development
小鼠大脑发育的定量成像
基本信息
- 批准号:9886288
- 负责人:
- 金额:$ 61.9万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-03-01 至 2023-02-28
- 项目状态:已结题
- 来源:
- 关键词:3-Dimensional4D MRIAdolescenceAnatomyAreaAtlasesAxonBRAIN initiativeBiological ModelsBrainBrain InjuriesBrain regionCellularityComplexComputational TechniqueConsumptionDataDefectDevelopmentDevelopmental BiologyDevelopmental ProcessDiffusionDiffusion Magnetic Resonance ImagingDiseaseEmbryoEmbryonic DevelopmentEventGenesGeneticGenetic studyGoalsHistologicHistologyHumanImageImage AnalysisImaging DeviceImaging TechniquesKnockout MiceKnowledgeLocationMagnetic Resonance ImagingManganeseMapsMeasurementMicrocephalyMidbrain structureModelingMolecularMonitorMorphologyMouse StrainsMusMutant Strains MiceNeonatalNeurodevelopmental DisorderNeuronal DifferentiationNeuronsPatternPhenotypePhysicsProcessProtocols documentationResearchResolutionSignal TransductionStructureTP53 geneTechniquesTechnologyTimeTissuesToxic effectUnited States National Institutes of HealthWild Type Mouseautomated image analysisbasebrain abnormalitiesbrain morphologycontrast imagingcortex mappingfetalimaging biomarkerin uteroin vivoinnovationinterestlongitudinal analysismigrationmind controlmouse developmentmouse modelmutant mouse modelneonatal brain developmentneuronal patterningnew technologynovelperformance testspostnatalprenatalprogramsquantitative imagingspatiotemporalstemtool
项目摘要
Abstract:
Brain development is a highly dynamic yet precisely orchestrated process. Using genetically modified mouse
models, we are in the process of unveiling the complex mechanisms that control critical cellular events in the
developing brain. High-throughput imaging tools will greatly benefit studies in this area by charactering brain
phenotypes at the macroscopic/mesoscopic levels and directing subsequent examinations at the cellular and
molecular levels. In this project, multiple novel magnetic resonance imaging (MRI) techniques will be
developed to non-invasively exam a wide range of phenotypes in the developing mouse brain from mid-
embryonic stage to adolescence. The target phenotypes include macroscopic brain morphology and structural
connectivity, microstructural organization, neuronal migration and differentiation, and postnatal brain activity.
The proposed techniques include fast imaging sequences, novel image contrasts, optimized imaging
coils/holder, and image analysis tools, many of which stem from on our existing expertise.
In Aim 1, we will develop imaging tools to achieve high-throughput in vivo multi-contrast MRI of the
developing mouse brain. We will collect multi-contrast MRI data to construct an in vivo MRI atlas of the
developing mouse brain to assist mouse brain phenotype analysis and
use the sas4-/- mouse, a model of
microcephaly, to test the performance of the technique.
In Aim 2, we will use novel diffusion MRI techniques to
characterize macroscopic morphology, connectivity, and microstructural organization in the developing brain.
In particular, high angular resolution diffusion imaging (HARDI) will be used to resolve complex tissue
microstructural organization and reconstruct connectivity between major brain regions, and the new oscillating
gradient diffusion MRI technique will be used to exam changes in cellularity in the developing cortex
associated with neuronal migration. Detailed examination of the relationships between diffusion MRI-based
markers and specific histological markers will determine their sensitivity to the underlying developmental
processes. In Aim 3, we will use novel Manganese (Mn2+)-enhanced MRI as another tissue contrast, which
reflects postnatal brain activity and potentially neuronal differentiation in the embryonic brain, to examine the
developing mouse brain. We will examine the contrast patterns of Mn2+-enhanced MRI in the embryonic and
neonatal mouse brain with the patterns of neuronal differentiation observed in histological data to determine
the sensitivity of Mn2+-enhanced MRI to neuronal differentiation.
In addition, we will investigate potential toxic
effects of Mn2+ on brain development, and establish protocols that minimize these effects. In Aims 2 and 3, the
techniques will also be used to characterize three mutant mouse models with abnormal brain phenotypes
resulting from defects in neuronal migration and differentiation. The imaging techniques and knowledge gained
in this project will greatly enhance our ability to quantitatively characterize the phenotypes of mutant mouse
models in order to achieve a deep understanding of brain development and disorders.
抽象的:
大脑发育是一个高度动态但精确协调的过程。使用转基因小鼠
模型中,我们正在揭示控制关键细胞事件的复杂机制。
正在发育的大脑。高通量成像工具通过表征大脑将大大有利于该领域的研究
宏观/介观水平的表型,并指导随后的细胞和细胞检查
分子水平。在该项目中,将采用多种新颖的磁共振成像(MRI)技术
开发用于非侵入性地检查发育中的小鼠大脑中的各种表型
胚胎期至青春期。目标表型包括宏观脑形态和结构
连接性、微观结构组织、神经元迁移和分化以及出生后大脑活动。
所提出的技术包括快速成像序列、新颖的图像对比度、优化成像
线圈/支架和图像分析工具,其中许多源于我们现有的专业知识。
在目标 1 中,我们将开发成像工具来实现高通量体内多对比 MRI
正在发育的小鼠大脑。我们将收集多对比 MRI 数据来构建体内 MRI 图集
开发小鼠大脑以协助小鼠大脑表型分析和
使用 sas4-/- 鼠标,其型号为
小头畸形,以测试该技术的性能。
在目标 2 中,我们将使用新颖的扩散 MRI 技术来
表征发育中大脑的宏观形态、连接性和微观结构组织。
特别是,高角分辨率扩散成像(HARDI)将用于解析复杂的组织
微观结构组织并重建主要大脑区域之间的连接,以及新的振荡
梯度扩散 MRI 技术将用于检查发育中皮层细胞结构的变化
与神经元迁移有关。基于扩散 MRI 之间关系的详细检查
标记和特定组织学标记将决定它们对潜在发育的敏感性
流程。在目标 3 中,我们将使用新型锰 (Mn2+) 增强 MRI 作为另一种组织对比,
反映出生后大脑活动和胚胎大脑中潜在的神经元分化,以检查
正在发育的小鼠大脑。我们将检查胚胎和胚胎时期 Mn2+ 增强 MRI 的对比模式
新生小鼠大脑通过组织学数据观察神经元分化模式来确定
Mn2+增强MRI对神经元分化的敏感性。
此外,我们将调查潜在的有毒物质
Mn2+ 对大脑发育的影响,并建立尽量减少这些影响的方案。在目标 2 和 3 中,
技术还将用于表征三种具有异常大脑表型的突变小鼠模型
由神经元迁移和分化缺陷引起。所获得的成像技术和知识
在这个项目中将大大增强我们定量表征突变小鼠表型的能力
模型,以深入了解大脑发育和疾病。
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 }}
Daniel H Turnbull其他文献
Brain folding is initiated by mechanical constraints without a cellular pre-pattern
大脑折叠是由机械约束引发的,没有细胞预模式
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:7.7
- 作者:
Andrew K Lawton;Tyler Engstrom;Daniel Rohrbach;Masaaki Omura;Daniel H Turnbull;Jonathan Mamou;Teng Zhang;J. M. Schwarz;Alexandra L Joyner, - 通讯作者:
Alexandra L Joyner,
Daniel H Turnbull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('Daniel H Turnbull', 18)}}的其他基金
Ultrasound and MR Imaging of Mouse Brain Development.
小鼠大脑发育的超声和磁共振成像。
- 批准号:
8664143 - 财政年份:2013
- 资助金额:
$ 61.9万 - 项目类别:
Molecular UBM and MRI of Vascular Development
血管发育的分子 UBM 和 MRI
- 批准号:
8769741 - 财政年份:2013
- 资助金额:
$ 61.9万 - 项目类别:
MRI Tracking of Stem Cell Migration During Brain Injury
脑损伤期间干细胞迁移的 MRI 追踪
- 批准号:
7895361 - 财政年份:2010
- 资助金额:
$ 61.9万 - 项目类别:
MRI Tracking of Stem Cell Migration During Brain Injury
脑损伤期间干细胞迁移的 MRI 追踪
- 批准号:
8018555 - 财政年份:2010
- 资助金额:
$ 61.9万 - 项目类别:
7-TESLA MR MICRO-IMAGING: CARDIOVASCULAR DVMT
7-TESLA MR 显微成像:心血管 DVMT
- 批准号:
7166616 - 财政年份:2005
- 资助金额:
$ 61.9万 - 项目类别:
7-TESLA MR MICRO-IMAGING: ALZHEIMER'S DISEASE
7-TESLA MR 显微成像:阿尔茨海默病
- 批准号:
7166617 - 财政年份:2005
- 资助金额:
$ 61.9万 - 项目类别:
相似国自然基金
主动脉瓣介导的血流模式致升主动脉重构的4D Flow MRI可视化预测模型研究
- 批准号:82071991
- 批准年份:2020
- 资助金额:56 万元
- 项目类别:面上项目
基于4D Flow MRI探讨侧支循环影响颈内动脉重塑的机制研究
- 批准号:81801139
- 批准年份:2018
- 资助金额:21.0 万元
- 项目类别:青年科学基金项目
4D PC-MRI血流动力学参数与主动脉夹层假腔血栓化的关系及模拟预测研究
- 批准号:81770474
- 批准年份:2017
- 资助金额:55.0 万元
- 项目类别:面上项目
基于4D血流MRI成像的左心房室流场变化介导的炎症反应在房颤心肌纤维化中的始动作用及机制研究
- 批准号:81601462
- 批准年份:2016
- 资助金额:18.0 万元
- 项目类别:青年科学基金项目
相似海外基金
CFDと4D Flow MRIのデータ同化技術を活用した脳潅流圧推定法の開発と臨床妥当性評価
基于CFD和4D Flow MRI数据同化技术的脑灌注压估算方法的开发及临床有效性评价
- 批准号:
24K02408 - 财政年份:2024
- 资助金额:
$ 61.9万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
循環器血流場の大規模時空間データに基づく流動特性の数理解析手法の確立
基于大规模心血管血流场时空数据的血流特性数学分析方法的建立
- 批准号:
23K11830 - 财政年份:2023
- 资助金额:
$ 61.9万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Collaborative Research: Enhanced 4D-Flow MRI through Deep Data Assimilation for Hemodynamic Analysis of Cardiovascular Flows
合作研究:通过深度数据同化增强 4D-Flow MRI 用于心血管血流的血流动力学分析
- 批准号:
2246916 - 财政年份:2023
- 资助金额:
$ 61.9万 - 项目类别:
Standard Grant
Towards Personalized Prosthetic Graft Replacement for Genetically Triggered Thoracic Aortic Aneurysms
针对基因触发的胸主动脉瘤的个性化假体移植
- 批准号:
10753115 - 财政年份:2023
- 资助金额:
$ 61.9万 - 项目类别:
Heart-brain MRI for the evaluation of hemodynamic coupling in aging and Alzheimer's disease
心脑 MRI 用于评估衰老和阿尔茨海默氏病的血流动力学耦合
- 批准号:
10571411 - 财政年份:2023
- 资助金额:
$ 61.9万 - 项目类别: