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
基本信息
- 批准号:10674474
- 负责人:
- 金额:$ 7.47万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:4 year oldAccelerationAddressAdolescenceAdultAgeAutopsyBrainCaringChildhoodCommunitiesDataData AnalysesDevelopmentDistressEarly identificationEducationEnvironmentEnvironmental Risk FactorFutureGeographyGoalsHippocampusHouseholdHumanIncomeIndividualInterventionLearningLinkLiteratureMeasuresMedicalMemoryMemory impairmentMental DepressionMethodologyMethodsModelingNeighborhoodsNeurodevelopmental DisorderOccupationsPopulationProceduresProtocols documentationProxyPublic HealthResearchResourcesRiskSample SizeSamplingSampling StudiesScanningSchizophreniaSiteSocioeconomic StatusStressStructureTestingUnited StatesVariantWorkbehavioral outcomecandidate markercognitive abilitycognitive developmentcommunity interventiondata integrationdentate gyrusearly childhoodearly life adversityhigh resolution imagingindexinglongitudinal datasetlow socioeconomic statusmiddle childhoodneuroimagingnovelsocial capitalsocioeconomic disparitysocioeconomicsultra high resolutionyoung adult
项目摘要
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
海马体由支持特定记忆和学习的细胞结构不同的亚区组成
功能。有证据表明,在整个童年时期,海马区有不同的发育轨迹
青春期是环境因素对大脑发育产生强烈影响的时期。然而,
证据主要来自横断面样本,基于不一致的划分子域的做法,
而且受到单一研究的力量和多样性的限制。因此,海马区的发育轨迹
子领域仍然不清楚,阻碍了对环境因素影响的系统研究
海马体发育。海马体总体积在发育过程中的变化与
社会经济地位,一个人获得物质资源、医疗保健和优质教育的代名词
环境。童年时期家庭社会经济地位低与以后认知能力较差有关
成年期和较低的社区社会经济地位(社会资本和
连接性)进一步预示着家庭以外的不良行为结果,尤其是在青春期。
这项拟议的研究考察了海马子区结构对不同类型的
家庭和邻里社会经济的全面发展。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
样本大小,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
多元化的美国人口。拟议的研究将使用综合数据分析和
高级潜在建模方法,直接解决方法上的差异,同时允许新的
假设需要在现有数据中进行检验。假设将使用一种新的集成纵向数据集进行验证
在678个典型的开发对象中,覆盖了四个地理位置跨度为4到25年的对象-以及
通过追求这些特定目标,在美国各地实现人口结构多样化的网站:目标1)表征
不同的多点研究儿童样本中海马区的典型发育轨迹;以及
目的2)阐明社会经济地位的变化与海马体发育之间的联系
子字段。海马体与神经发育障碍有关,如抑郁症、精神分裂症、
而低SES也会增加神经发育障碍的风险。因此,获得准确的表征
家庭和邻里SES对海马子区发育轨迹的影响
大样本将为神经发育障碍的早期识别和针对性研究铺平道路
对与社会经济差距相关的特定因素进行干预。此外,成功地应用了
对多项研究的神经成像数据进行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,否则在个别研究中是不可行的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Kelsey Leigh Canada其他文献
Kelsey Leigh Canada的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似海外基金
SHINE: Origin and Evolution of Compressible Fluctuations in the Solar Wind and Their Role in Solar Wind Heating and Acceleration
SHINE:太阳风可压缩脉动的起源和演化及其在太阳风加热和加速中的作用
- 批准号:
2400967 - 财政年份:2024
- 资助金额:
$ 7.47万 - 项目类别:
Standard Grant
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328975 - 财政年份:2024
- 资助金额:
$ 7.47万 - 项目类别:
Continuing Grant
EXCESS: The role of excess topography and peak ground acceleration on earthquake-preconditioning of landslides
过量:过量地形和峰值地面加速度对滑坡地震预处理的作用
- 批准号:
NE/Y000080/1 - 财政年份:2024
- 资助金额:
$ 7.47万 - 项目类别:
Research Grant
Market Entry Acceleration of the Murb Wind Turbine into Remote Telecoms Power
默布风力涡轮机加速进入远程电信电力市场
- 批准号:
10112700 - 财政年份:2024
- 资助金额:
$ 7.47万 - 项目类别:
Collaborative R&D
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328973 - 财政年份:2024
- 资助金额:
$ 7.47万 - 项目类别:
Continuing Grant
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328972 - 财政年份:2024
- 资助金额:
$ 7.47万 - 项目类别:
Continuing Grant
Collaborative Research: A new understanding of droplet breakup: hydrodynamic instability under complex acceleration
合作研究:对液滴破碎的新认识:复杂加速下的流体动力学不稳定性
- 批准号:
2332916 - 财政年份:2024
- 资助金额:
$ 7.47万 - 项目类别:
Standard Grant
Collaborative Research: A new understanding of droplet breakup: hydrodynamic instability under complex acceleration
合作研究:对液滴破碎的新认识:复杂加速下的流体动力学不稳定性
- 批准号:
2332917 - 财政年份:2024
- 资助金额:
$ 7.47万 - 项目类别:
Standard Grant
Collaborative Research: FuSe: R3AP: Retunable, Reconfigurable, Racetrack-Memory Acceleration Platform
合作研究:FuSe:R3AP:可重调、可重新配置、赛道内存加速平台
- 批准号:
2328974 - 财政年份:2024
- 资助金额:
$ 7.47万 - 项目类别:
Continuing Grant
Radiation GRMHD with Non-Thermal Particle Acceleration: Next-Generation Models of Black Hole Accretion Flows and Jets
具有非热粒子加速的辐射 GRMHD:黑洞吸积流和喷流的下一代模型
- 批准号:
2307983 - 财政年份:2023
- 资助金额:
$ 7.47万 - 项目类别:
Standard Grant














{{item.name}}会员




