Longitudinal Discovery of Brain Developmental Trajectories

大脑发育轨迹的纵向发现

• 批准号: 9303454
• 负责人: Michael Peter Milham
• 金额: $ 72.5万
• 依托单位: NATHAN S. KLINE INSTITUTE FOR PSYCH RES
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-27 至 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9303454
• 关键词: 1 year old; 21 year old; Adolescence; Affect; Age; Age-Years; Aging; Architecture; Attention deficit hyperactivity disorder; Behavioral; Brain; Brain imaging; Childhood; Cognitive; Collection; Communities; Data; Data Collection; Data Set; Development; Diagnostic; Diffusion Magnetic Resonance Imaging; Dimensions; Disease; Distant; Early Diagnosis; Endocrine; Enrollment; Ensure; Formulation; Functional Magnetic Resonance Imaging; Functional disorder; Funding; Future; Generations; Genetic; Goals; Growth; Height; Human; Image; Immunologics; Individual; Informatics; Institutes; International; Intervention; Life; Longevity; Longitudinal Studies; Longitudinal cohort; Magnetic Resonance Imaging; Maps; Marker Discovery; Measures; Menstrual cycle; Mental disorders; Methods; Monitor; Morphologic artifacts; Motion; Multimodal Imaging; National Institute of Mental Health; Nature; Online Systems; Outcome; Participant; Pathologic Processes; Pattern; Pediatrics; Perfusion; Phase; Phenotype; Physiological; Population; Prevention; Property; Protocols documentation; Psychiatry; Publications; Quality Control; Recruitment Activity; Research Design; Research Infrastructure; Resolution; Resources; Rest; Risk; Sample Size; Sampling; Scanning; Schizophrenia; Spin Labels; Structure; Technology; Testing; Thick; Thinness; Time; Variant; Weight; Work; age related; analog; base; brain behavior; clinical application; clinically relevant; clinically significant; cohort; connectome; cost; cost effectiveness; data sharing; design; follow-up; gray matter; imaging genetics; indexing; interest; longitudinal dataset; longitudinal design; metabolic phenotype; morphometry; multimodality; neural correlate; neuroimaging; optimism; pediatrician; prospective; prototype; repository; software development; success; symptomatology; tool; 1 year old; 21 year old; Adolescence; Affect; Age; Age-Years; Aging; Architecture; Attention deficit hyperactivity disorder; Behavioral; Brain; Brain imaging; Childhood; Cognitive; Collection; Communities; Data; Data Collection; Data Set; Development; Diagnostic; Diffusion Magnetic Resonance Imaging; Dimensions; Disease; Distant; Early Diagnosis; Endocrine; Enrollment; Ensure; Formulation; Functional Magnetic Resonance Imaging; Functional disorder; Funding; Future; Generations; Genetic; Goals; Growth; Height; Human; Image; Immunologics; Individual; Informatics; Institutes; International; Intervention; Life; Longevity; Longitudinal Studies; Longitudinal cohort; Magnetic Resonance Imaging; Maps; Marker Discovery; Measures; Menstrual cycle; Mental disorders; Methods; Monitor; Morphologic artifacts; Motion; Multimodal Imaging; National Institute of Mental Health; Nature; Online Systems; Outcome; Participant; Pathologic Processes; Pattern; Pediatrics; Perfusion; Phase; Phenotype; Physiological; Population; Prevention; Property; Protocols documentation; Psychiatry; Publications; Quality Control; Recruitment Activity; Research Design; Research Infrastructure; Resolution; Resources; Rest; Risk; Sample Size; Sampling; Scanning; Schizophrenia; Spin Labels; Structure; Technology; Testing; Thick; Thinness; Time; Variant; Weight; Work; age related; analog; base; brain behavior; clinical application; clinically relevant; clinically significant; cohort; connectome; cost; cost effectiveness; data sharing; design; follow-up; gray matter; imaging genetics; indexing; interest; longitudinal dataset; longitudinal design; metabolic phenotype; morphometry; multimodality; neural correlate; neuroimaging; optimism; pediatrician; prospective; prototype; repository; software development; success; symptomatology; tool

DESCRIPTION (provided by applicant): Recent advances in magnetic resonance imaging (MRI) now allow the reliable mapping of functional and structural maturation in the human brain to derive analogs of height and weight growth charts. Such norms would allow early detection of pathologic process before clinically significant symptomatology onsets. Unfortunately, the datasets needed to develop comprehensive growth curves for brain function and structure do not yet exist, as technology has outpaced the collection of high quality longitudinal imaging data. Here, we propose to generate and share a large-scale, community-ascertained, structured multi-cohort, longitudinal sample from ages 6.0-20.5 yrs. This open access resource will allow the developmental trajectories of brain function and structure, as well as relationships with phenotypic measures to be delineated. We will generate at least 192 quality-controlled longitudinal datasets, evenly divided across 12 one-year age cohorts (6.0-17.9 yrs old at enrollment). Each dataset will contain 3 time-points separated by 15 months, with time-of-day and menstrual cycle phase controlled. State-of-the-art multiband imaging will be used to collect resting state functional MRI (R-fMRI) scans alternately optimized for temporal and spatial resolution. Multiband imaging will also enable the acquisition of 137-direction diffusion tensor imaging (DTI) in less than 7 minutes - thereby minimizing motion confounds. Arterial spin labeling perfusion measures will also provide additional quantitative information. Dimensional cognitive, behavioral, psychiatric, endocrine, immunologic, and metabolic phenotyping will be included. Genetic samples will be obtained and shared via the NIMH Genetics Repository. Given the paucity of data regarding the reliability of imaging measures in pediatric populations, we will also obtain retest scans for each participant within 2 weeks of their initial scan session. Careful determination of reliability is a prerequisite for determination of eventual clinical applicability, and especially pertinent in pediatric populations where risk of artifact and physiological variations are greatest. The proposed work builds on the Nathan Kline Institute-Rockland Sample (NKI-RS), a cross-sectional sample of brain development, maturation and aging spanning ages 6-85 years, currently funded to recruit and assess 1000 community-ascertained participants using multiband imaging-based R-fMRI, DTI, and deep phenoytyping. Building upon the NKI-RS effort will minimize startup costs, infrastructure and design needs, and maximize the focus on follow-up data collection. Consistent with the NKI-RS protocol, anonymized datasets will be shared weekly on a prospective (pre-publication) basis via The 1000 Functional Connectomes Project (FCP)/ International Neuroimaging Data-sharing Initiative (INDI) (www.nitrc.org). Additionally, any analysis methods and software developed in the course of the project will be made fully available on publication.

描述（由申请人提供）：磁共振成像（MRI）的最新进展现在允许人脑功能和结构成熟的可靠映射得出高度和体重生长图的类似物。这样的规范将允许在临床明显的症状侵害之前尽早发现病理过程。不幸的是，由于技术已经超过了高质量的纵向成像数据的收集，因此尚不存在为大脑功能和结构开发综合增长曲线所需的数据集。 在这里，我们建议生成和共享一个来自6.0-20.5岁的大规模，社区确定的，结构化的多方面，纵向样本。这种开放访问资源将使大脑功能和结构的发展轨迹以及与表型措施的关系被描述。我们将至少生成192个质量控制的纵向数据集，在12个单年龄段（6.0-17.9岁的入学人数）中均匀分配。每个数据集将包含3个时间点，分别为15个月，并控制时间和月经周期阶段。最先进的多播成像将用于收集用于时间和空间分辨率的静止状态功能MRI（R-FMRI）扫描。多播成像还将在不到7分钟的时间内获得137个方向扩散张量成像（DTI）的采集 - 从而最大程度地减少运动混淆。动脉自旋标记灌注措施还将提供其他定量信息。尺寸认知，行为，精神病，内分泌，免疫学和代谢表型将包括在内。将通过NIMH遗传学存储库获得并共享遗传样本。考虑到有关小儿种群成像测量的可靠性的数据，我们还将在初次扫描会议的2周内对每个参与者进行重新测试。 仔细确定可靠性是确定最终临床适用性的先决条件，尤其是在小儿种群中有效的，在小儿种群中，伪像和生理变化的风险最大。拟议的工作建立在Nathan Kline Institute-Rockland样本（NKI-RS）的基础上，这是跨越6-85岁的大脑发育，成熟和衰老的横断面样本，目前用于招募和评估1000名基于基于MOLTIBAND的社区成像的参与者，并使用基于Multiband Imband的ROFMRI，DTI，DTI和DEAP PENOYPENOYPENITY。在NKI-RS努力的基础上，将最大程度地减少启动成本，基础架构和设计需求，并最大程度地关注后续数据收集。与NKI-RS协议一致，匿名数据集将每周通过1000个功能连接组项目（FCP）/国际神经影像学数据共享计划（INDI）（INDI）（www.nitrc.org）共享每周的匿名数据集。此外，在项目过程中开发的任何分析方法和软件都将在出版物上充分使用。