Thalamocortical cognitive networks in the healthy human brain

摘要 本项目将描述人类枕核（PUL）和背内侧核（MD）的功能及其在脑内的分布。 在促进各种高级认知功能和行为的全脑网络中发挥作用。我们建议 进行全脑功能磁共振成像，以测试中心的假设，即PUL和MD在协调中发挥关键作用， 大脑皮层网络中的信息与P5（Woodward）和Core C（Chen）密切合作， 1将基于功能连接性解析健康个体中PUL和MD的内部组织 与高级认知功能有关的皮层网络。我们将比较网络拓扑与 发现在精神分裂症（P5），以确定功能障碍的皮质和丘脑节点和它们的相互连接。 在目标2中，我们将调整中心的APU和HDM任务，以评估PUL和MD作为集中式枢纽的作用 用于整合认知控制网络中的信息。使用常见的任务与树鼩和 猕猴（P1-3）将允许跨越动物模型的桥接， 到电路到网络。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 支持灵活的规则转换和泛化的丘脑皮层认知控制网络。我们将使用 计算认知建模，在神经成像和行为之间架起桥梁。解决网络级 复杂认知行为过程中的PUL-cortex和MD-cortex功能的结构将提供经验性的 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），并告知发展 人类丘脑功能的机械模型（中心目标3）。

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).