An integrative multisite study of the influence of socioeconomic disparities on hippocampal subfields developmental trajectories

社会经济差异对海马亚区发育轨迹影响的综合多中心研究

• 批准号: 10674474
• 负责人: Kelsey Leigh Canada
• 金额: $ 7.47万
• 依托单位: WAYNE STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10674474
• 关键词: 4 year old; Acceleration; Address; Adolescence; Adult; Age; Autopsy; Brain; Caring; Childhood; Communities; Data; Data Analyses; Development; Distress; Early identification; Education; Environment; Environmental Risk Factor; Future; Geography; Goals; Hippocampus; Household; Human; Income; Individual; Intervention; Learning; Link; Literature; Measures; Medical; Memory; Memory impairment; Mental Depression; Methodology; Methods; Modeling; Neighborhoods; Neurodevelopmental Disorder; Occupations; Population; Procedures; Protocols documentation; Proxy; Public Health; Research; Resources; Risk; Sample Size; Sampling; Sampling Studies; Scanning; Schizophrenia; Site; Socioeconomic Status; Stress; Structure; Testing; United States; Variant; Work; behavioral outcome; candidate marker; cognitive ability; cognitive development; community intervention; data integration; dentate gyrus; early childhood; early life adversity; high resolution imaging; indexing; longitudinal dataset; low socioeconomic status; middle childhood; neuroimaging; novel; social capital; socioeconomic disparity; socioeconomics; ultra high resolution; young adult

PROJECT SUMMARY/ABSTRACT The hippocampus is composed of cytoarchitecturally-distinct subfields that support specific memory and learning functions. Evidence suggests distinct developmental trajectories in hippocampal subfields throughout childhood and adolescence, periods in which environmental factors exact strong influence on brain development. However, evidence is largely from cross-sectional samples, is based on inconsistent practices for delineations of subfields, and is limited by the power and diversity within single studies. Thus, developmental trajectories of hippocampal subfields remain unclear, prohibiting the systematic study of the influence of environmental factors on hippocampal development. Variations in total hippocampal volume across development have been linked to socioeconomic status, a proxy for access to material resources, medical care, and quality education in one’s environment. Low household socioeconomic status in childhood is associated with worse cognitive abilities later in adulthood, and low neighborhood socioeconomic status (an additional index of social capital and connectedness) further predicts poor behavioral outcomes beyond the household, especially in adolescence. The proposed study examines differential vulnerability of hippocampal subfield structures to variations in household and neighborhood socioeconomic across development. Understanding of normative developmental changes in subfield structure and vulnerability to low socioeconomic environments can have significant implications for individual and community interventions. However, testing these questions requires a large sample size, adequate coverage of age, specialized ultra-high-resolution scans, and sufficient representation of the diverse United States population. The proposed study will achieve this using integrative data analysis, an advanced latent modeling approach that directly addresses differences in methodologies while allowing new hypotheses to be tested in existing data. Hypotheses will be tested using a novel integrated longitudinal dataset of 678 typically developing subjects covering the span of 4- to- 25-years from four geographically- and demographically-diverse sites across the United States by pursuing these specific aims: Aim 1) Characterize typical developmental trajectories of hippocampal subfields in a diverse multi-site study pediatric sample; and Aim 2) Elucidate the link between variations in socioeconomic status and the development of hippocampal subfields. The hippocampus is implicated in neurodevelopmental disorders such as depression, schizophrenia, and low SES also confers risk for neurodevelopmental disorders. Thus, obtaining accurate characterization of hippocampal subfield development trajectories and identifying the effects of household and neighborhood SES in a large sample will pave the way for early identification of neurodevelopmental disorders and targeted intervention for specific factors associated with socioeconomic disparity. Further, the successful application of integrative data analysis to neuroimaging data from multiple studies will demonstrate a means to leverage existing data to answer critical questions otherwise not feasible in individual studies.

项目摘要/摘要 海马由支持特定记忆和学习的细胞结构赋予子场组成 功能。有证据表明整个儿童时期海马子领域的不同发育轨迹 和青少年，环境因素对大脑发育的严重影响的时期。然而， 证据主要来自横截面样本，是基于对子场描绘的不一致的做法， 并且受单一研究中的力量和多样性的限制。那就是海马的发育轨迹 子场仍然不清楚，禁止对环境因素的影响进行系统研究 海马发育。整个发育过程中的海马总量的变化已与 社会经济地位，替代人获得物质资源，医疗保健和优质教育的代理 环境。童年的家庭社会经济地位较低与后来的认知能力差有关 在成年和社区较低的社会经济地位（社会资本和 连接性）进一步预测家庭以外的行为结果不佳，尤其是在青少年中。 拟议的研究考试检查海马子场结构的差异脆弱性 家庭和邻里的社会经济跨发展。了解正常发展 子场结构的变化和对低社会经济环境的脆弱性可能会有重大 对个人和社区干预的影响。但是，测试这些问题需要很大 样本量，适当的年龄覆盖范围，专门的超高分辨率扫描以及足够的代表 多元化的美国人口。拟议的研究将使用综合数据分析来实现这一目标 高级潜在建模方法直接解决方法的差异，同时允许新 在现有数据中要测试的假设。假设将使用新颖的集成纵向数据集进行测试 在678个通常涵盖4到25年的受试者中，有四个地理位置和 通过追求这些特定目的，在美国各地的人口多样性网站：目标1） 潜水员多站点研究小儿样本中海马子场的典型发育轨迹；和 目标2）阐明社会经济地位变化与海马发展之间的联系 子场。海马隐含在神经发育障碍中，例如抑郁症，精神分裂症， 低SE还承认神经发育障碍的风险。那是获得准确的表征 海马子场发展轨迹并确定家庭和邻里SES的影响 在大型样本中，将为早期识别神经发育障碍铺平道路并针对性 干预与社会经济差异相关的特定因素。此外，成功应用 对来自多项研究的神经成像数据的整合数据分析将证明一种利用的手段 现有数据回答关键问题，否则在个别研究中是不可行的。