Circuit interactions within the OCDnet

OCDnet 内的电路交互

• 批准号: 10411707
• 负责人: Suzanne N Haber
• 金额: $ 35.33万
• 依托单位: UNIVERSITY OF ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-01 至 2027-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10411707
• 关键词: Address; Anatomic Models; Anatomy; Anterior; Area; Base of the Brain; Behavioral; Bipolar Disorder; Brain; Complex; Corpus Callosum; Corpus striatum structure; Coupled; Data; Diffusion Magnetic Resonance Imaging; Dorsal; Elements; Fiber; Functional Imaging; Functional disorder; Funding; Goals; Human; Image; Insula of Reil; Internal Capsule; Limb structure; Link; Location; Magnetic Resonance Imaging; Maps; Methods; Modeling; Obsessive-Compulsive Disorder; Outcome; Output; Pathway interactions; Patients; Positioning Attribute; Prefrontal Cortex; Resolution; Rest; Structure; Tracer; base; behavioral impairment; cingulate cortex; crosslink; experimental study; flexibility; frontal lobe; human imaging; imaging study; neural circuit; nonhuman primate; treatment response

Project Summary Project 1 The pathophysiology of obsessive compulsive disorder (OCD) is associated with circuit dysfunction in several cortical regions, (rostral anterior cingulate cortex (rACC), dorsal ACC (dACC), ventrolateral prefrontal cortex (vlPFC), orbitofrontal cortex (OFC), insula), and the rostral striatum, that, together integrate information related to behavioral inflexibility, resulting in persistent avoidance. These structures are referred as ‘nodes’ in the OCD network (OCDnet). Anatomically these nodes are interconnected extensively to mutually influence each other. This creates the complex network that underlies the required flexibility for optimizing positive outcomes. Human imaging studies show that ‘hubs’, defined as regions with unusually high and diverse connectivity, exist within distributed networks. These hubs are considered important for integrating and distributing information. However, hubs are defined by imaging which cannot distinguish between inputs to a region that would integrate information, and outputs of a region that would distribute information. P1 combines quantitative anatomic methods with state- of-the-art imaging in both NHP and humans to characterize the complexity of the interconnections of the OCDnet by identifying hub locations, their pathways, and projection zones in the striatum. We hypothesize: 1. that within each node there are specific regions, based on their connectivity profiles, that can be classified as integrative hubs (i-hubs), distributive hubs (d-hubs), or both (central hubs-c-hubs); 2. hub projection zones to the striatum are more expansive compared to nonhub projection zones. Aims 1 & 2 use tracer experiments to locate hubs, delineate their composition, and locate their fibers within the ALIC, CC, and CB. A3 will use this anatomic data, coupled with state-of-the-art structural (dMRI) and functional imaging (rsMRI) in NHPs and humans to determine the location of hubs, their fiber pathways in the ALIC, CC and CB in the human brain.

项目摘要 项目1 强迫症（OCD）的病理生理与多个电路功能障碍有关 皮质区域（鼻扣前扣带回皮层（RACC），背ACC（DACC），腹外侧前额叶皮层 （vlpfc），轨道额皮层（OFC），岛群体）和鼻纹，这些纹状体共同综合信息相关 行为不灵活，导致持续回避。这些结构在强迫症中被称为“节点” 网络（OCDNET）。从解剖学上讲，这些节点被广泛互连以相互影响。 这创建了一个复杂的网络，该网络是基于优化积极结果所需的灵活性的基础。人类 成像研究表明，“集线器”定义为具有异常高和潜水员连接的区域，存在 分布式网络。这些枢纽被认为对于整合和分发信息很重要。然而， 集线器是通过成像来定义的，该成像无法区分到将整合信息的区域的输入， 以及将分发信息的区域的输出。 P1将定量解剖方法与状态 - 在NHP和人类中的ART成像，以表征OCDNET互连的复杂性 通过识别纹状体中的集线器位置，其途径和投影区。我们假设：1。 每个节点都根据其连接性概况的特定区域，可以分类为集成 轮毂（I-HUB），分布轮毂（D型荷线）或两者（中央集线器C型）； 2。集线器投影区到纹状体 AIMS 1和2使用示踪剂实验定位集线器， 描述其成分，并将其纤维定位在Alic，CC和CB中。 A3将使用此解剖学数据， 结合NHP和人类中的最先进的结构（DMRI）和功能成像（RSMRI）以确定 集线器的位置，其在人脑中ALIC，CC和CB中的纤维途径。