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.

项目总结/摘要 海马是由细胞结构不同的子领域，支持特定的记忆和学习 功能协调发展的有证据表明，在整个童年时期，海马子区域有不同的发展轨迹 青少年时期，环境因素对大脑发育有很大的影响。然而，在这方面， 证据主要来自横截面样本，是基于不一致的做法划定子字段， 并且受到单个研究中的力量和多样性的限制。因此，海马的发育轨迹 子领域仍然不清楚，禁止系统研究环境因素对环境的影响。 海马发育整个发育过程中海马总体积的变化与以下因素有关： 社会经济地位是一个人在其一生中获得物质资源、医疗保健和优质教育的代理人。 环境儿童时期家庭社会经济地位低与以后认知能力差有关 在成年期，和较低的社区社会经济地位（社会资本和 连通性）进一步预测家庭以外的不良行为结果，特别是在青春期。 这项研究旨在探讨海马子区结构对海马结构变化的不同脆弱性， 家庭和邻里社会经济发展。对规范发展的理解 子领域结构的变化和对低社会经济环境的脆弱性可能会产生重大影响， 对个人和社区干预的影响。然而，测试这些问题需要大量的 样本量、足够的年龄覆盖范围、专业的超高分辨率扫描以及足够的代表性 多样化的美国人口。拟议的研究将通过综合数据分析， 先进的潜在建模方法，直接解决方法的差异，同时允许新的 假设在现有数据中进行检验。将使用一个新的综合纵向数据集对假设进行检验 678个典型的发展中国家的主题，涵盖4至25年的跨度，从四个地理-和 通过追求这些特定目标，在美国各地的人口统计学上多样化的网站：目标1）表征 不同多中心研究儿童样本中海马子区域的典型发育轨迹;以及 目的2）阐明社会经济地位的变化与海马神经元发育之间的关系 子字段。海马体与神经发育障碍有关，如抑郁症、精神分裂症、 低SES也会带来神经发育障碍的风险。因此，获得准确的表征 海马子区发展轨迹和确定家庭和邻里SES的影响 大样本将为早期识别神经发育障碍和有针对性地 针对与社会经济差距相关的具体因素进行干预。此外，成功应用 对来自多项研究的神经影像学数据的综合数据分析将展示一种利用 现有的数据来回答关键问题，否则在个别研究中不可行。