UNC/UMN Baby Connectome Project
UNC/UMN Baby Connectome Project
批准号:
9506852
负责人:
Jed Thomas Elison
金额:
$101.65万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2020-05-31
关键词:
5 year oldAdoptedAgeAreaBehavior assessmentBehavioralBiomedical ResearchBirthBrainCensusesChildChild DevelopmentChildhoodCognitiveCoupledCustomDataData CollectionData QualityDevelopmentDropoutEnrollmentEnsureEquilibriumEvaluationFemaleFundingGoalsHeadHumanHybridsImageImage AnalysisInfantLinkLongevityLongitudinal StudiesMagnetic ResonanceMagnetic Resonance ImagingMeasurementMeasuresMinnesotaModelingModificationMorphologic artifactsMotionMulticenter StudiesNeckNorth CarolinaParticipantPatternPositioning AttributeProcessPublicationsQuality ControlResearchResearch DesignResearch InfrastructureResearch PersonnelResourcesRiskSamplingScanningSecureSedation procedureSiteSurfaceThickTimeUnited States National Institutes of HealthUniversitiesWashingtonWorkattenuationcohortconnectomedata acquisitiondesignearly childhoodethnic diversityexperienceimaging approachimaging studyimprovedlongitudinal designmalenovelprospectivequality assuranceracial and ethnicrecruitresponseskillssoundsuccesstool
中文摘要
项目摘要
本申请是对RFA-MH-16-160的响应,标题为“寿命人类连接组
项目(HCP):Baby Connectome”。北卡罗来纳州查珀尔大学的调查人员
希尔大学和明尼苏达大学将联手实现这些目标
在这份RFA中,该团队拥有超过10年的招聘经验,
对典型发育中和高危儿童进行成像,扫描1000多名从出生到5岁的儿童,
1 -40岁。生物医学研究成像中心(BRIC)的基础设施完善,
UMN的磁共振研究中心(CMRR)正在招募和
保留儿科受试者并促进儿科成像研究的协调。我们的过去
和正在进行的研究成像儿童(出生-五岁)没有镇静,
总体成功率为81%,流失率为29.3%。我们的记录
表明我们拥有成功开展
纵向儿科成像研究,重点是早期大脑发育,一个至关重要的
这是RFA的一个方面。我们招募、保留和成像非镇静剂的能力,
我们的图像分析团队进一步加强了儿童的形象,
专门用于早期大脑发育的分析工具。在中国的专业知识是互补的
并由UMN团队的专业知识加强。UMN的CMRR一直是
HCP项目的领导小组,并开发了新的MR成像方法,
大大缩短了数据采集时间。此外,UMN的团队拥有广泛的
儿童早期发展的行为和认知研究经验。我们一起,
联合团队有能力实现RFA的目标。为此,
将招募500名出生至5岁之间发育正常的儿童,
在一个连续队列、加速纵向研究设计中的数据收集中心。的
参与者被分为两个主要组,纵向(n=285)和横向(n=215)
组,分别。这种混合的纵向和横截面设计能够实现详细的
使用MRI从脑结构/功能两方面表征早期脑发育,
使用行为评估的行为方面。所有获得的图像和行为
评估将经过广泛的质量保证和控制过程,以确保
获得高质量的数据并将其传输到华盛顿的中央连接组设施
大学此外,我们还将整合我们团队开发的新颖图像分析工具,
现有的HCP管道。
英文摘要
Project Summary
This application is in response to the RFA-MH-16-160, entitled “Lifespan Human Connectome
Project (HCP): Baby Connectome”. Investigators at The University of North Carolina at Chapel
Hill (UNC) and The University of Minnesota (UMN) will join forces to accomplish the goals
outlined by this RFA. The team at UNC has over 10 years of experience in recruiting and
imaging typically developing and at-risk children, scanning over 1000 children from birth to five
years1-40. Well established infrastructure at the Biomedical Research Imaging Center (BRIC) at
UNC and Center for Magnetic Resonance Research (CMRR) at UMN are in place to recruit and
retain pediatric subjects and facilitate the coordination of pediatric imaging studies. Our past
and ongoing studies for imaging children (birth – five years of age) without sedation have
achieved an overall success rate of 81% and attrition rate of 29.3%. Our track record
demonstrates that we possess the critical and essential components to successfully conduct
longitudinal pediatric imaging studies focusing on early brain development, a critically-important
aspect of this RFA. Our ability to recruit, retain, and image non-sedated, typically developing
children is further strengthened by our image analysis team, which has developed novel image
analysis tools specifically for early brain development. The expertise at UNC is complementary
to and strengthened by the expertise of the team at UMN. The CMRR at UMN has been one of
the leading groups in the HCP project and has developed novel MR imaging approaches to
dramatically shorten data acquisition time. Furthermore, the team at UMN has extensive
experience in behavioral and cognitive studies of early child development. Together, our
combined team is well positioned to accomplish the goals of this RFA. To this end, a total of
500 typically developing children between birth and five years of age will be recruited across two
data collection sites in a sequential cohort, accelerated longitudinal study design. The
participants are divided into two main groups, longitudinal (n=285) and cross-sectional (n=215)
groups, respectively. This hybrid longitudinal and cross-sectional design enables detailed
characterization of early brain development from both brain structural/functional using MRI and
behavioral aspects using behavioral assessments. All of the acquired images and behavioral
assessments will undergo extensive quality assurance and control processes to ensure that
high quality data is obtained and transferred to the Central Connectome Facility at Washington
University. In addition, we will integrate novel image analysis tools, developed by our team onto
the existing HCP pipelines.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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海外基金