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.

项目概要/摘要 海马体由细胞结构不同的子区域组成，支持特定的记忆和学习 有证据表明整个童年时期海马亚区的发育轨迹不同。 和青春期，环境因素对大脑发育产生强烈影响。 证据主要来自横截面样本，基于子领域划分的不一致做法， 因此，海马的发育轨迹受到单一研究的力量和多样性的限制。 子领域仍不清楚，阻碍了对环境因素影响的系统研究 海马体发育过程中海马体总体积的变化与 失业状况，是一个人获得物质资源、医疗保健和优质教育的指标 童年时期的家庭社会地位较低与以后的认知能力较差有关。 成年后，社区社会经济地位较低（社会资本和社会经济地位的附加指数） 连接性）进一步预测家庭以外的不良行为结果，尤其是在青春期。 拟议的研究检查了海马亚区结构对变化的不同脆弱性 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 然而，测试这些问题需要大量的工作。 样本量、足够的年龄覆盖、专门的超高分辨率扫描以及足够的代表性 拟议的研究将利用综合数据分析来实现这一目标。 先进的潜在建模方法，直接解决方法论的差异，同时允许新的 将使用新颖的集成纵向数据集来测试假设 678 个典型发展主题，涵盖 4 到 25 年的时间跨度，来自四个地理和 通过追求以下具体目标，在美国各地人口结构多样化的地点进行： 目标 1) 描述特征 不同多中心研究儿科样本中海马亚区的典型发育轨迹； 目标 2）阐明社会经济地位的变化与海马体发育之间的联系 海马体与抑郁症、精神分裂症等神经发育障碍有关。 低SES也会带来神经发育障碍的风险，因此，获得准确的特征。 海马亚区发展轨迹并确定家庭和邻里社会经济地位的影响 大样本将为早期识别神经发育障碍和有针对性的治疗铺平道路 对与社会经济差异相关的特定因素进行干预。 对多项研究的神经影像数据进行综合数据分析将展示一种利用的方法 现有的数据来回答关键问题，否则在个别研究中是不可行的。