The NKI Rockland Sample II: An Open Resource of Multimodal Brain, Physiology & Behavior Data from a Community Lifespan Sample

抽象的。目前竞争性的更新申请提议创建下一代NKI-Rockland 样本(NKI-RS)倡议。NKI-Rockland样本(NKI-RS)已成为寿命的灯塔 连接学研究，为加快精神病学发现科学的步伐提供了模式。多过 已有200种出版物使用了NKI-RS，主要由独立调查人员和主要期刊生成。自.以来 2011年，它已经产生并(按季度)公开分享了一份大规模的(N&GT；1400)、深刻的表型、 社区确定、横断面、寿命样本(年龄6-85岁)，具有先进的连接学- 聚焦神经成像(即扩散磁共振成像、静息功能磁共振成像[R-fMRI])和遗传样本。最近推出的 大规模的努力，如HCP寿命研究和NIH ABCD研究，正在努力实现规模化 人类一生中的连接组图和大脑功能，使用经过战斗考验的成像技术 和策略。这些正在进行的研究较少关注心理健康。此外，技术和理念 继续发展--往往太快，无法及时测试和纳入正在进行的研究。最重要的是 本提案的目标是创建下一代NKI-RS倡议，该倡议将再次扩展 通过丰富和拓展神经科学的图景，在寿命连接学研究中发挥先锋作用 进展和生物标记物的发现。三个主要主题指导了拟议的NKI-RS-II的设计 生命周期资源：1)跨功能领域的多模式测量集成(例如，fMRI、EEG、移动 大脑/身体成像[Mobi]框架)，2)生态采样(例如，可穿戴设备、传感器、智能手机应用程序)， 3)增强心血管健康和肥胖的生理表型。具体地说，在一个社区- 确定的寿命样本(N=600；年龄9-75；M：F=1：1；选择年龄范围以最大化数据产量和 容忍性)，拟议的工作旨在：1)生成和共享大规模多模式MRI/EEG成像数据 辅以认知、行为和精神状态的全面表型，来自人类和 基于传感器的告密者；2)使用多模式数据(R-fMRI， 自然视觉功能磁共振成像[NV-fMRI]、dMRI、T2/T1、R-EEG、NV-EEG)及其与时间顺序的相关偏差 年龄与心理病理和认知表现维度的关系；以及3)识别可修改的关系 健康风险因素(例如，健康、肥胖、体力活动、物质使用)与预测大脑之间的偏差 年龄和整个寿命的时间顺序年龄。与之前由基金建立的模型一致 NKI-RS计划，所有数据都将通过国际神经成像中心以季度为基础进行前瞻性共享 数据共享倡议(INDI)和NIMH数据档案(NDA)。

ABSTRACT. The present competing renewal application proposes to create the next generation NKI-Rockland Sample (NKI-RS) initiative. The NKI-Rockland Sample (NKI-RS) has served as a beacon for lifespan connectomics research, providing a model for accelerating the pace of psychiatric discovery science. More than 200 publications have used NKI-RS, generated largely by independent investigators and in major journals. Since 2011, it has generated and publicly shared (on a quarterly basis) a large-scale (N > 1400), deeply phenotyped, community-ascertained, cross-sectional, lifespan sample (ages 6–85 years old) with advanced connectomics- focused neuroimaging (i.e., diffusion MRI, resting state fMRI [R-fMRI]) and genetic samples. Recently launched large- scale efforts, such as the HCP Lifespan Studies and the NIH ABCD Study are working to bring to scale human connectome mapping and brain function across the lifespan, using ‘battle-tested’ imaging technologies and strategies. These ongoing studies are less focused on mental health. Moreover, technologies and ideas continue to evolve - often too rapidly to permit timely testing and inclusion in ongoing research. The overarching goal of the present proposal is to create the next generation NKI-RS initiative that will once again extend the vanguard in the study of lifespan connectomics by enriching and expanding the landscape for neuroscientific advancement and biomarker discovery. Three major themes have guided the design of the proposed NKI-RS-II lifespan resource: 1) multimodal measurement integration across functional domains (e.g., fMRI, EEG, mobile brain/body imaging [MoBI] framework), 2) ecological sampling (e.g., wearables, sensors, smartphones apps), and 3) enhanced physiological phenotyping for cardiovascular fitness and obesity. Specifically, in a community- ascertained lifespan sample (N=600; ages 9-75; M: F = 1:1; age range selected to maximize data yield and tolerability), the proposed work aims to: 1) Generate and share large-scale multimodal MRI/EEG imaging data complemented by comprehensive phenotyping of cognition, behavior, and psychiatric status, from human and sensor-based informants; 2) Optimize brain-age prediction across the lifespan using multimodal data (R-fMRI, Naturalistic Viewing fMRI [NV-fMRI], dMRI, T2/T1, R-EEG, NV-EEG) and relate deviations from chronological age to dimensions of psychopathology and cognitive performance; and 3) Identify the relationship of modifiable health risk factors (e.g., fitness, obesity, physical activity, substance use) to deviations between predicted brain age and chronological age across the lifespan. Consistent with the model established by the previously funded NKI-RS initiatives, all data will be shared prospectively, on a quarterly basis, via the International Neuroimaging Data-sharing Initiative (INDI) and the NIMH Data Archive (NDA).