Thalamocortical cognitive networks in the healthy human brain

健康人脑中的丘脑皮质认知网络

• 批准号: 10633809
• 负责人: Anne G.E. Collins
• 金额: $ 36.2万
• 依托单位: PRINCETON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-03 至 2028-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10633809
• 关键词: Adult; Animal Model; Animals; Architecture; Attention; Behavior; Behavioral; Brain; Characteristics; Chemicals; Cognition; Cognitive; Complement; Complex; Computer Models; Data; Decision Making; Development; Environment; Fingerprint; Foundations; Functional Magnetic Resonance Imaging; Functional disorder; Goals; Human; Individual; Knowledge; Link; Macaca; Maintenance; Medial; Medial Dorsal Nucleus; Methods; Modeling; Molecular; Neurons; Parietal; Parietal Lobe; Play; Prefrontal Cortex; Primates; Property; Pulvinar structure; Role; Schizophrenia; Source; Standardization; Structure; Testing; Thalamic Nuclei; Thalamic structure; Theoretical model; Tupaiidae; Uncertainty; Variant; Visual; analysis pipeline; cognitive control; cognitive function; flexibility; insight; neural; neuroimaging; operation; recruit; response; support network

Abstract This project will characterize the functions of the human pulvinar (PUL) and mediodorsal (MD) nuclei and their role in brain-wide networks promoting a variety of high-level cognitive functions and behaviors. We propose to perform whole-brain fMRI to test the Center hypothesis that PUL and MD play crucial roles in coordinating information within and across cortical networks. Working closely with P5 (Woodward) and Core C (Chen), Aim 1 will resolve the internal organization of PUL and MD in healthy individuals based on functional connectivity with cortical networks involved in high-level cognitive functions. We will compare network topologies to those found in schizophrenia (P5) to identify dysfunction of cortical and thalamic nodes and in their interconnectivity. In Aim 2, we will adapt the Center’s APU and HDM tasks to assess the PUL and MD’s roles as centralized hubs for integrating information across cognitive control networks. The use of common tasks with tree shrews and macaques (P1-3) will allow for bridging across animal models spanning scales of representation from neurons to circuits to networks. In Aim 3, we will use a variant of the HDM task to identify human-unique characteristics of thalamocortical cognitive control networks that support flexible rule switching and generalization. We will use computational cognitive modeling to bridge between neuroimaging and behavior. Resolving the network-level architecture of PUL-cortical and MD-cortical function during complex cognitive behaviors will provide empirical and computational insights into the principles guiding behaviorally-relevant thalamocortical function (Center Aim 1), which will serve as a basis for assessing dysfunction (Center Aim 2) and inform the development of a mechanistic model for human thalamic function (Center Aim 3).

抽象的 该项目将描述人类枕核 (PUL) 和中背核 (MD) 的功能及其 我们建议在全脑网络中促进各种高级认知功能和行为。 进行全脑功能磁共振成像来检验中心的假设，即 PUL 和 MD 在协调中发挥着至关重要的作用 Aim 与 P5 (Woodward) 和 Core C (Chen) 密切合作。 1 将基于功能连接解析健康个体中PUL和MD的内部组织 我们将把网络拓扑与涉及高级认知功能的皮层网络进行比较。 在精神分裂症 (P5) 中发现，可识别皮质和丘脑节点的功能障碍及其互连性。 在目标 2 中，我们将调整该中心的 APU 和 HDM 任务，以评估 PUL 和 MD 作为集中枢纽的作用 用于跨认知控制网络集成信息使用树鼩和 猕猴（P1-3）将允许跨越神经元表征尺度的动物模型之间的桥梁 在目标 3 中，我们将使用 HDM 任务的变体来识别人类独特的特征。 我们将使用支持灵活规则切换和泛化的丘脑皮质认知控制网络。 计算认知模型在神经成像和行为之间架起桥梁。 复杂认知行为期间 PUL 皮质和 MD 皮质功能的架构将提供经验 以及对指导行为相关丘脑皮质功能的原则的计算见解（中心目标 1），这将作为评估功能障碍的基础（中心目标 2）并为开发 人类丘脑功能的机制模型（中心目标 3）。