Individual-specific functional subdivisions of the human hippocampus in children revealed by precision functional mapping

通过精确功能映射揭示儿童海马体的个体特异性功能细分

• 批准号: 10324560
• 负责人: Annie Zheng
• 金额: $ 1.43万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-12-15 至 2022-05-20
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10324560
• 关键词: 10 year old; Address; Adolescence; Adolescent; Adult; Affective; Amygdaloid structure; Anterior; Area; Attention; Basal Ganglia; Behavior; Behavioral; Brain; Cerebellum; Child; Child Behavior Checklist; Childhood; Clinical; Cognition; Data; Data Set; Development; Early Diagnosis; Early treatment; Episodic memory; Exhibits; Familiarity; Foundations; Functional Magnetic Resonance Imaging; Functional disorder; Future; Grain; Hippocampus (Brain); Human; Individual; Individual Differences; Investigation; Judgment; Left; Measures; Mediating; Memory; Mental Depression; Methods; Modeling; Neurocognitive; Parietal; Participant; Pathology; Patients; Pattern; Performance; Population; Process; Psychopathology; Rest; Sample Size; Sampling; Schizophrenia; Severities; Specificity; Stimulus; System; Testing; Thalamic structure; attentional control; brain behavior; cognitive development; cognitive process; cortex mapping; depressive symptoms; emotion regulation; middle childhood; network architecture; neuropsychiatric disorder; novel; support network; tool; way finding

PROJECT SUMMARY Many neuropsychiatric diseases, such as depression, are characterized by deficits in memory and affective processing—processes that are mediated in part by the hippocampus. Atypical cortico-hippocampal resting state functional connectivity (RSFC) has been associated with poor memory performance and depression. RSFC relies on the observation that spatially separated but functionally related regions (i.e., networks) exhibit correlated brain activity, making it an ideal method for a systems-level interrogation of brain activity. Childhood is a period of great plasticity and vulnerability, when many psychopathologies first manifest. Disruptions in the development of cortico-hippocampal connectivity are thought to contribute to developmental psychopathology. Throughout development, there is continued development of hippocampally-mediated cognition and emotional regulation. The extent to which hippocampal RSFC is mature by middle childhood is unknown. To understand how atypical hippocampal FC may contribute to developmental psychopathology, we must better understand hippocampal functional organization during development and its relationship to behavior. Prior studies have utilized group-averaging to demonstrate the hippocampus is functionally connected to the default mode network. However, recent efforts have found that precision functional mapping (PFM), using large quantities of data per participant, reveals novel individual-specific features of network organization in the adult hippocampus. Namely, the anterior hippocampus is preferentially functionally correlated to the default mode network (DMN) and the posterior hippocampus to the parietal memory network (PMN). The current proposal aims to test whether the hippocampus in individual children also exhibits a DMN-PMN dichotomy and if individual differences in hippocampal RSFC can predict behavior. To address these questions, we will collect a highly-sampled pediatric dataset (n=10; 9-10 yrs) as part of the PFM-pediatric Study and also utilize a separate independent, large-sample size dataset (Adolescent Brain Cognitive Development [ABCD]; n=11,874; 9-10yrs). I hypothesize that since network architecture is largely in place by middle childhood, there will be a DMN-PMN segmentation of the hippocampus. I will also utilize the ABCD’s measures of episodic memory, attentional control and depression severity to predict associations with hippocampal RSFC. Understanding the basic organization of the hippocampus with individual specificity will pave the way for the development of more precise, patient-specific models of hippocampus-related pathologies, which may be crucial for early diagnosis and treatment. The current proposal serves as a foundational first step to future investigations into the behavioral consequences of individual differences in hippocampal network organization and the development of psychopathology.

项目概要 许多神经精神疾病，例如抑郁症，都以记忆和情感缺陷为特征 处理——部分由海马体介导的过程。非典型皮质海马静息状态。 功能连接（RSFC）与记忆力差和抑郁有关。 依赖于空间分离但功能相关的区域（即网络）表现出相关性的观察 大脑活动，使其成为系统级大脑活动询问的理想方法。 童年是一个可塑性和脆弱性很强的时期，许多精神病态都是在这个时期首次表现出来的。 皮质-海马连接发育的破坏被认为有助于发育 在整个发育过程中，海马介导的神经病理学不断发展。 海马 RSFC 到童年中期的成熟程度是 为了了解非典型海马 FC 如何影响发育性精神病理学，我们进行了研究。 必须更好地了解发育过程中海马的功能组织及其与行为的关系。 先前的研究已经利用组平均来证明海马体在功能上与 然而，最近的努力发现，精确功能映射（PFM）使用大型网络。 每个参与者的数据量揭示了成人网络组织的新的个体特定特征 即，前海马体优先与默认模式功能相关。 网络（DMN）和后海马到顶叶记忆网络（PMN）。 目前的提案旨在测试个别儿童的海马体是否也表现出 DMN-PMN 为了解决这些问题，海马 RSFC 的个体差异是否可以预测行为。 我们将收集高度抽样的儿科数据集（n=10；9-10 岁）作为 PFM 儿科研究的一部分，并且 利用单独的独立的大样本数据集（青少年大脑认知发展 [ABCD]； n=11,874；9-10 岁），因为网络架构在童年中期就已基本到位，所以我很喜欢这一点。 将是海马体的 DMN-PMN 分割 我还将利用 ABCD 的情景测量。 记忆、注意力控制和抑郁严重程度来预测与海马 RSFC 的关联。 了解具有个体特异性的海马体的基本组织将为研究铺平道路。 开发更精确、针对海马体相关病理的患者特异性模型，这可能至关重要 当前的建议是未来研究的基础性第一步。 研究海马网络组织个体差异的行为后果 精神病理学的发展。