Mapping interindividual variation in the aging connectome

绘制衰老连接组的个体差异

• 批准号: 9130075
• 负责人: Stan J Colcombe
• 金额: $ 74.84万
• 依托单位: NATHAN S. KLINE INSTITUTE FOR PSYCH RES
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2020-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9130075
• 关键词: Address; Adult; Affect; Age; Aging; Aging-Related Process; Alcohol or Other Drugs use; Alcohols; Alzheimer' s Disease; Architecture; Attention; Behavioral; Biological; Biological Markers; Brain; Brain imaging; Cardiovascular system; Clinic; Cognitive; Communities; Complex; Data; Data Set; Development; Diffusion Magnetic Resonance Imaging; Disease Progression; Early Intervention; Elderly; Endocrine; Functional Magnetic Resonance Imaging; Funding; Future; Generations; Genetic; Genetic Markers; Gold; Health; Human; Image; Immunologics; Impaired cognition; Individual Differences; Institutes; Intervention; Life; Life Style; Lipids; Literature; Longevity; Longitudinal Studies; Magnetic Resonance Imaging; Maps; Measures; Medical; Modeling; Multimodal Imaging; National Institute of Mental Health; Neurobiology; Neurocognitive; Neurocognitive Deficit; Participant; Patients; Phenotype; Population; Prevalence; Process; Protocols documentation; Psyche structure; Psychophysiology; Publications; Quality Control; Recruitment Activity; Research; Research Infrastructure; Research Personnel; Resolution; Resources; Rest; Risk; Sample Size; Sampling; Series; Social Network; Spin Labels; Structure; Structure-Activity Relationship; Testing; VO2max; Variant; Work; age related; aging brain; aging population; base; brain behavior; cognitive performance; cohort; connectome; cost effectiveness; cytokine; design; diffusion weighted; executive function; fitness; functional decline; imaging modality; indexing; innovation; inter-individual variation; longitudinal design; metabolic phenotype; metabolic profile; middle age; morphometry; neural correlate; neuroimaging; open data; prevent; protective effect; psychologic; social; success; white matter

DESCRIPTION (provided by applicant): Recent decades have witnessed landmark advances in mapping neurocognitive decline in the elderly, as well as discerning its determinants. Central to this success is the emergence of magnetic resonance imaging (MRI)- based approaches to mapping human brain function and structure. These efforts have identified several protective factors. In particular, cardiovascular fitness (CF), has emerged as one of the strongest predictors of longevity, neurobiological integrity and cognitive performance in the elderly -a finding supported by cross- sectional, longitudinal and interventional studies alike. However, the origins of neurocognitive decline in mid life have received less attention in brain imaging, and likely represent missed opportunities for early intervention. The present application calls for the generation of an open science resource to comprehensively map neurobiological change throughout mid and older adulthood in a community-ascertained sample. This resource will help to discern the midlife relevance of putative determinants of neurocognitive decline previously established in the elderly (e.g., CF). Specifically, we propose to generate a community-ascertained structured multi-cohort, longitudinal sample (Ne233 after data loss) from ages 40.0-74.9 yrs that can be used to delineate aging trajectories of the brain's functional and structural architectures, and capture brain-behavior relationships. 19 age-cohorts (n=23/cohort) will be spaced two years apart, each with 4 assessments spaced 12 months apart. Per cohort, we expect to have at least 18 participants with 2 or more consecutive, usable datasets, 16 with 3 or more usable datasets, and at least 13 participants with all 4 datasets. Proposed imaging methods include resting-state functional MRI (R-fMRI), 137-direction diffusion tensor imaging, arterial spin labeling and morphometry. We will also collect a task-based fMRI assessment of executive function (flanker), allowing for direct comparisons between measures of functional connectomics with task-based cortical recruitment and psychophysiological interactions. State-of-the-art multband imaging will be used for functional and diffusion-weighted data to maximize sampling rate, as well as spatial and angular resolution, while minimizing participant burden. Comprehensive phenotyping will include dimensional cognitive, behavioral, medical, sociodemographic, and psychiatric assessments. Gold-standard CF assessments, neuroimmunologic markers and genetics will also be obtained. The impact of phenotypic variables on multimodal structure- function relationships will be examined using an innovative multi-kernel varying coefficient framework. The proposed work builds on the Nathan Kline Institute-Rockland Sample, a large cross-sectional sample of brain development, maturation and aging in ages 6.0-85.0 yrs, currently funded to recruit and assess 1000 community-ascertained participants using multiband imaging-based R-fMRI and DTI and deep phenoytyping. De-identified data will be shared quarterly on a pre-publication basis via The 1000 Functional Connectomes Project. Building upon the NKI-RS effort minimizes startup, infrastructure, recruitment and design needs.

描述(由申请人提供)：近几十年来，在绘制老年人神经认知衰退的图谱以及识别其决定因素方面取得了里程碑式的进展。这一成功的核心是基于磁共振成像(MRI)的方法的出现，以绘制人类大脑的功能和结构。这些努力确定了几个保护因素。特别是，心血管健康(CF)已成为预测老年人长寿、神经生物学完整性和认知能力的最有力指标之一--这一发现得到了横断面、纵向和干预性研究的支持。然而，中年神经认知衰退的起源在大脑成像中受到的关注较少，可能代表着错过了早期干预的机会。本应用程序调用 生成一个开放的科学资源，在社区确定的样本中全面绘制整个中老年时期的神经生物学变化图。这一资源将有助于辨别先前在老年人中建立的神经认知衰退的假定决定因素(例如，CF)的中年相关性。具体地说，我们建议从40.0-74.9岁的年龄段生成一个社区确定的结构化多队列纵向样本(数据丢失后为NE233)，可用于描绘大脑功能和结构架构的老化轨迹，并捕获大脑与行为的关系。19个年龄组(n=23个/组)将间隔两年，每组有4个评估，间隔12个月。每个队列，我们预计至少有18名参与者拥有2个或更多连续的可用数据集，16名参与者拥有3个或更多可用数据集，至少13名参与者拥有所有4个数据集。目前提出的成像方法包括静息状态功能磁共振成像(R-fMRI)、137向扩散张量成像、动脉自旋标记和形态计量学。我们还将收集基于任务的执行功能fMRI评估(FRANKER)，允许在基于任务的皮质招募和心理生理相互作用的功能连接学测量之间进行直接比较。最先进的多波段成像将用于函数和扩散加权数据，以最大限度地提高采样率以及空间和角度分辨率，同时将参与者的负担降至最低。全面的表型将包括维度认知、行为、医学、社会人口学和精神病学评估。还将获得金标准的CF评估、神经免疫标记物和遗传学。表型变量对多峰结构-功能关系的影响将使用一个创新的多核变系数框架进行研究。这项拟议的工作建立在Nathan Kline Institute-Rockland样本的基础上，这是一个关于6.0-85.0岁大脑发育、成熟和衰老的大型横断面样本，目前得到资助，用于招募和评估1000名社区确定的参与者，使用基于多波段成像的R-fMRI和DTI以及深度表型分析。未查明的数据将通过1000个功能连接项目在出版前每季度共享一次。在NKI-RS努力的基础上，将创业、基础设施、招聘和设计需求降至最低。