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

NKI Rockland 样本 II：多模式大脑、生理学的开放资源

• 批准号: 10623202
• 负责人: Stan J Colcombe
• 金额: $ 69.83万
• 依托单位: NATHAN S. KLINE INSTITUTE FOR PSYCH RES
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-13 至 2026-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10623202
• 关键词: 3-Dimensional; Acceleration; Adult; Age; Behavior; Behavioral; Biometry; Body Composition; Body measure procedure; Brain; Caring; Categories; Cellular Phone; Chronology; Cognition; Cognitive; Collection; Communities; Complement; DSM-V; Data; Development; Diffusion Magnetic Resonance Imaging; Dimensions; EEG-based imaging; Ecological momentary assessment; Electroencephalography; Electromyography; Functional Magnetic Resonance Imaging; Funding; Future; Galvanic Skin Response; Genetic; Goals; Health; Human; Image; Imaging technology; Individual; International; Intervention; Journals; Literature; Longevity; Magnetic Resonance Imaging; Maps; Measurement; Measures; Mental Health; Mental disorders; Methods; Modality; Modeling; Moods; Motion; National Institute of Mental Health; Obesity; Performance; Phenotype; Photography; Physical activity; Physiological; Physiology; Preventive; Procedures; Process; Protocols documentation; Psychiatry; Psychopathology; Publications; Questionnaires; Research; Research Personnel; Resources; Rest; Risk; Risk Factors; Sampling; Scalp structure; Science; Source; Stimulus; Structure; Technology; Testing; United States National Institutes of Health; VO2max; Variant; Voice; Work; actigraphy; biomarker discovery; brain based; brain research; cardiovascular fitness; cognitive performance; cognitive task; connectome; data archive; data integration; data resource; data sharing; density; design; fitness; functional magnetic resonance imaging/electroencephalography; human very old age (85+); imaging study; improved; indexing; informant; inter-individual variation; magnetic resonance imaging/electroencephalography; member; morphometry; multimodal data; multimodality; neuroimaging; next generation; novel; prospective; sensor; sex; smartphone application; source localization; substance use; visual tracking; wearable device; 3-Dimensional; Acceleration; Adult; Age; Behavior; Behavioral; Biometry; Body Composition; Body measure procedure; Brain; Caring; Categories; Cellular Phone; Chronology; Cognition; Cognitive; Collection; Communities; Complement; DSM-V; Data; Development; Diffusion Magnetic Resonance Imaging; Dimensions; EEG-based imaging; Ecological momentary assessment; Electroencephalography; Electromyography; Functional Magnetic Resonance Imaging; Funding; Future; Galvanic Skin Response; Genetic; Goals; Health; Human; Image; Imaging technology; Individual; International; Intervention; Journals; Literature; Longevity; Magnetic Resonance Imaging; Maps; Measurement; Measures; Mental Health; Mental disorders; Methods; Modality; Modeling; Moods; Motion; National Institute of Mental Health; Obesity; Performance; Phenotype; Photography; Physical activity; Physiological; Physiology; Preventive; Procedures; Process; Protocols documentation; Psychiatry; Psychopathology; Publications; Questionnaires; Research; Research Personnel; Resources; Rest; Risk; Risk Factors; Sampling; Scalp structure; Science; Source; Stimulus; Structure; Technology; Testing; United States National Institutes of Health; VO2max; Variant; Voice; Work; actigraphy; biomarker discovery; brain based; brain research; cardiovascular fitness; cognitive performance; cognitive task; connectome; data archive; data integration; data resource; data sharing; density; design; fitness; functional magnetic resonance imaging/electroencephalography; human very old age (85+); imaging study; improved; indexing; informant; inter-individual variation; magnetic resonance imaging/electroencephalography; member; morphometry; multimodal data; multimodality; neuroimaging; next generation; novel; prospective; sensor; sex; smartphone application; source localization; substance use; visual tracking; wearable device

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).

抽象的。目前的竞争更新申请提案，以创建下一代NKI-Rockland 样本（NKI-RS）倡议。 NKI-Rockland样本（NKI-RS）已成为寿命的灯塔 连接组学研究提供了一个模型来加速精神病科学的速度。多于 200个出版物使用了NKI-RS，主要由独立研究人员和主要期刊生成。自从 2011年，它（每季度）产生并公开共享一个大规模（n> 1400），深刻表现出来， 具有高级连接组学 - 焦点神经影像学（即扩散MRI，静止状态fMRI [R-FMRI]）和遗传样本。最近推出 大规模的努力，例如HCP寿命研究和NIH ABCD研究，正在努力进行扩展 使用“战斗测试”成像技术的人类连接组映射和大脑功能 和策略。这些正在进行的研究不太关注心理健康。而且，技术和思想 继续发展 - 通常太快，无法及时测试和包含在正在进行的研究中。总体 本提案的目标是创建下一代NKI-RS计划，该计划将再次扩展 Vanguard通过丰富和扩展神经科学的景观来研究寿命连接组学 进步和生物标志物发现。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）增强了心血管健康和肥胖症的物理表型。具体而言，在一个社区中 - 确定寿命样本（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 耐受性），拟议的工作旨在：1）生成和共享大规模的多模式MRI/EEG成像数据 通过对人类和人类的认知，行为和精神病地位的全面表型来完成 基于传感器的信息； 2）使用多模式数据（R-FMRI， 自然主义观看fMRI [NV-FMRI]，DMRI，T2/T1，R-EEG，NV-EEG）及其相关的偏离时间 心理病理学和认知表现的年龄； 3）确定可修改的关系 健康危险因素（例如健身，肥胖，体育锻炼，物质使用），以在预测的大脑之间出发 整个生命周期的年龄和年龄。与先前资助的模型一致 NKI-RS倡议，所有数据将通过国际神经影像季度前景共享 数据共享计划（INDI）和NIMH数据存档（NDA）。