Developmental Brain Atlas Tools and Data Applied to Humans and Macaques
应用于人类和猕猴的发育脑图谱工具和数据
基本信息
- 批准号:8860552
- 负责人:
- 金额:$ 3.92万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-09-08 至 2016-03-31
- 项目状态:已结题
- 来源:
- 关键词:3 year oldAccountingAddressAdolescentAgeAnimal ModelAnimalsAppearanceAtlasesAutistic DisorderBehavioralBirthBrainCharacteristicsChildhoodCognitiveCommunitiesComparative StudyComplexConfidence IntervalsCross-Sectional StudiesDataDatabasesDevelopmentDiffusionDiffusion Magnetic Resonance ImagingDiseaseDocumentationEvaluationFemaleFiberGenderGenerationsGrantHealthHistocompatibility TestingHumanHuman DevelopmentImageImaging DeviceInfantInfectionInstructionInternetLeadLifeLobarLongitudinal StudiesMacacaMacaca mulattaMagnetic Resonance ImagingMeasurementMeasuresMental disordersMethodologyMethodsModelingMonkeysNational Institute of Mental HealthNatureNeurodevelopmental DisorderOrganismPathologyPatternPharmaceutical PreparationsPopulationPositioning AttributePrevalencePrimatesProceduresProcessPropertyPublished CommentReportingResearchResearch PersonnelResourcesSamplingSchizophreniaSex CharacteristicsSliceSocial InteractionSourceSource CodeStagingStatistical MethodsStatistical ModelsStatistical sensitivityStructureTechniquesTestingThickTimeTissuesUnited States National Institutes of HealthVariantWeightbasebrain tissuecognitive functioncohortcomparativecomputational atlascomputerized toolscost effectivedata acquisitiondesignearly adolescenceexperiencehuman datainfancyinnovationinsightlongitudinal databasemalemethod developmentmorphometryneonateneurodevelopmentneuroimagingneuropathologynonhuman primatenoveloperationprenatalrelating to nervous systemsextooltool developmentwhite matter
项目摘要
DESCRIPTION (provided by applicant): In the last decade, MRI studies of human brain morphometry have been used to investigate a multitude of pathologies and drug-related effects in psychiatric research. Better understanding of normal neural development is essential to gain a better understanding of the underlying pathology of neurodevelopmental disorders such as autism or schizophrenia, as the timing of an insult into the developing brain is often critical in defining the resulting disorder. Nonhuman primates, and in particular macaque monkeys, have been widely used in animal models to investigate the neural substrates of human development in higher cognitive functions and complex social interactions. However, we lack crucial, detailed information of normal brain maturation in macaques, especially in the rapidly changing early stages. Matching maturational periods in humans with those in macaques aids us in establishing nonhuman primate translational models of developmental neuropathology. This project will provide three results: a) a developmental macaque brain MR database, b) the corresponding computational toolbox for cross-sectional and longitudinal atlas building and c) a comparative study contrasting human and macaque brain development and maturation patterns in both genders based on the former. The computational atlas building toolbox will be of translational nature as it is applied to the existing human NIH MRI database of normal brain development, as well as the proposed macaque brain development database. This longitudinal database will be acquired from a cohort of healthy macaque monkeys ranging from a few week olds up to 3-year-old adolescents. This grant is thus translational from a viewpoint of both the study of brain development as well as method and tool development. This creates an immensely valuable resource for primate researcher, as well as for the general neuroimaging field. The comparative study will allow us to characterize normal brain development in the rhesus macaque and compare it to human brain development. We expect that the efficient and cost-effective creation and dissemination of this unique database, the computational toolbox, along with the results from the developmental study will lead to the creation of many new translational primate models of developmental neuropathology worldwide.
描述(由申请人提供):在过去的十年中,人脑形态测量的 MRI 研究已被用于调查精神病学研究中的多种病理学和药物相关效应。更好地了解正常神经发育对于更好地了解自闭症或精神分裂症等神经发育障碍的潜在病理学至关重要,因为发育中的大脑受到损伤的时间通常对于定义由此产生的障碍至关重要。非人类灵长类动物,特别是猕猴,已被广泛用于动物模型中,以研究人类在高级认知功能和复杂社会互动方面发展的神经基础。然而,我们缺乏猕猴正常大脑成熟的关键、详细信息,特别是在快速变化的早期阶段。将人类的成熟期与猕猴的成熟期相匹配有助于我们建立发育神经病理学的非人类灵长类动物转化模型。 该项目将提供三个结果:a)发育猕猴大脑MR数据库,b)用于横截面和纵向图谱构建的相应计算工具箱,以及c)基于前者对比人类和猕猴两性大脑发育和成熟模式的比较研究。计算图谱构建工具箱将具有转化性质,因为它适用于现有的人类 NIH MRI 正常大脑发育数据库,以及拟议的猕猴大脑发育数据库。该纵向数据库将从一组健康的猕猴中获得,这些猕猴的范围从几周大到 3 岁的青少年。因此,从大脑发育研究以及方法和工具开发的角度来看,这笔资助具有转化意义。这为灵长类研究人员以及一般神经影像领域创造了极其宝贵的资源。这项比较研究将使我们能够表征恒河猴的正常大脑发育,并将其与人类大脑发育进行比较。我们期望,这个独特的数据库、计算工具箱的高效且具有成本效益的创建和传播,以及发育研究的结果将导致在全球范围内创建许多新的发育神经病理学转化灵长类动物模型。
项目成果
期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Studying cerebral vasculature using structure proximity and graph kernels.
使用结构邻近性和图核研究脑血管系统。
- DOI:10.1007/978-3-642-40763-5_66
- 发表时间:2013
- 期刊:
- 影响因子:0
- 作者:Kwitt,Roland;Pace,Danielle;Niethammer,Marc;Aylward,Stephen
- 通讯作者:Aylward,Stephen
Geodesic regression for image time-series.
- DOI:10.1007/978-3-642-23629-7_80
- 发表时间:2011
- 期刊:
- 影响因子:0
- 作者:Niethammer, Marc;Huang, Yang;Vialard, Francois-Xavier
- 通讯作者:Vialard, Francois-Xavier
Globally Optimal Finsler Active Contours.
- DOI:10.1007/978-3-642-03798-6_56
- 发表时间:2009
- 期刊:
- 影响因子:0
- 作者:Zach, Christopher;Shan, Liang;Niethammer, Marc
- 通讯作者:Niethammer, Marc
Splines for diffeomorphic image regression.
- DOI:10.1007/978-3-319-10470-6_16
- 发表时间:2014
- 期刊:
- 影响因子:0
- 作者:Singh N;Niethammer M
- 通讯作者:Niethammer M
Multiseg pipeline: automatic tissue segmentation of brain MR images with subject-specific atlases.
多分段管道:使用特定主题图集对大脑 MR 图像进行自动组织分割。
- DOI:10.1117/12.2513237
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Pham,Kevin;Yang,Xiao;Niethammer,Marc;Prieto,JuanC;Styner,Martin
- 通讯作者:Styner,Martin
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Marc Niethammer其他文献
Marc Niethammer的其他文献
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{{ truncateString('Marc Niethammer', 18)}}的其他基金
Large-scale automatic analysis of the OAI magnetic resonance image dataset
OAI磁共振图像数据集的大规模自动分析
- 批准号:
9751768 - 财政年份:2017
- 资助金额:
$ 3.92万 - 项目类别:
Large-scale automatic analysis of the OAI magnetic resonance image dataset
OAI磁共振图像数据集的大规模自动分析
- 批准号:
9966876 - 财政年份:2017
- 资助金额:
$ 3.92万 - 项目类别:
Large-scale automatic analysis of the OAI magnetic resonance image dataset
OAI磁共振图像数据集的大规模自动分析
- 批准号:
9368542 - 财政年份:2017
- 资助金额:
$ 3.92万 - 项目类别:
Automatic Quantitative Analysis of MR Images of the Knee in Osteoarthritis
骨关节炎膝关节 MR 图像的自动定量分析
- 批准号:
8290549 - 财政年份:2011
- 资助金额:
$ 3.92万 - 项目类别:
Automatic Quantitative Analysis of MR Images of the Knee in Osteoarthritis
骨关节炎膝关节 MR 图像的自动定量分析
- 批准号:
8113619 - 财政年份:2011
- 资助金额:
$ 3.92万 - 项目类别:
Developmental Brain Atlas Tools and Data Applied to Humans and Macaques
应用于人类和猕猴的发育脑图谱工具和数据
- 批准号:
8454496 - 财政年份:2010
- 资助金额:
$ 3.92万 - 项目类别:
Developmental Brain Atlas Tools and Data Applied to Humans and Macaques
应用于人类和猕猴的发育脑图谱工具和数据
- 批准号:
8303320 - 财政年份:2010
- 资助金额:
$ 3.92万 - 项目类别:
NETWORK-BASED IMAGING BIOMARKERS IN SPORADIC DYSTONIA
散发性肌张力障碍中基于网络的成像生物标志物
- 批准号:
8167287 - 财政年份:2010
- 资助金额:
$ 3.92万 - 项目类别:
Developmental Brain Atlas Tools and Data Applied to Humans and Macaques
应用于人类和猕猴的发育脑图谱工具和数据
- 批准号:
8139055 - 财政年份:2010
- 资助金额:
$ 3.92万 - 项目类别:
Developmental Brain Atlas Tools and Data Applied to Humans and Macaques
应用于人类和猕猴的发育脑图谱工具和数据
- 批准号:
8644910 - 财政年份:2010
- 资助金额:
$ 3.92万 - 项目类别:
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