RECONSTRUCTING VAGAL ANATOMY

重建迷走神经解剖结构

• 批准号: 10928689
• 负责人: Andrew Shoffstall
• 金额: $ 526.6万
• 依托单位: CASE WESTERN RESERVE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-21 至 2024-09-20
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10928689
• 关键词: Acceleration; Anatomy; Area; Clinical; Computer Models; Cranial Nerves; Data; Data Analyses; Development; Ensure; Evaluation; Fiber; Human; Image; Length; Maps; Nerve; Neuroanatomy; Operative Surgical Procedures; Phenotype; Positioning Attribute; Regulation; Resolution; Safety; Sample Size; Site; Tissue Sample; Translating; Vagus nerve structure; Validation; Viscera; Work; data visualization; design; experience; high resolution imaging; imaging modality; improved; interest; morphometry; neuroregulation; novel; novel therapeutics; repository; tractography; vagus nerve stimulation

The vagus nerve (VN) innervates the viscera, and it is responsible for regulating their functions. Mapping the VN with the latest high-resolution imaging modalities has tremendous potential to improve the safety and efficacy of existing autonomic neuromodulation therapies and to inform design of new therapies to target or avoid specific vagal fibers. We will conduct the most comprehensive mapping of the VN to date, from the perspectives of sample size, range of imaging modalities, lengths of nerve, and imaging resolutions. We will establish a neuroanatomical repository for the vagal tissue samples, and we will validate and leverage the imaging data in computational models of vagus nerve stimulation (VNS). This work will seed and accelerate the development of novel neuromodulation therapies for autonomic regulation. We assembled an outstanding cross-cutting and experienced team that allows us to meet all the RFP criteria and exceed them in several critical areas. We will obtain high resolution data on fiber tractography, morphometry, and phenotyping using nine established and novel imaging modalities. We will focus on evaluation at justified regions of interest (ROIs; Table 1), selected based on established clinical neuromodulation sites, potential for improved selectivity (activation of target fibers and avoidance of off-target fibers), major anatomical landmarks, and surgical accessibility. We will set up and leverage our Data Analysis and Visualization Epicenter (DAVE) to ensure data validation, rigor, and timely dissemination. In our prior work, we have collected neuro-anatomical data, used these data to construct realistic computational models, designed novel cranial nerve stimulation paradigms, and translated them to humans. We are thus uniquely positioned to collect the REVA data and ensure that the data will enable development of new vagal neuromodulation therapies.

迷走神经（VN）支配了内脏，并负责调节其 功能。用最新的高分辨率成像方式映射VN具有提高现有自主神经调节疗法的安全性和功效的巨大潜力，并为新疗法的设计提供了靶向或避免特定的迷走神经纤维的设计。从样本量，成像方式，神经长度和成像分辨率的角度来看，我们将对VN进行最全面的映射。我们将为迷走组织样品建立神经解剖学库，并将在迷走神经刺激（VNS）的计算模型中验证和利用成像数据。这项工作将种植 加速用于自主神经调节的新型神经调节疗法的发展。我们组建了一个出色的横切和经验丰富的团队，使我们能够满足所有RFP标准，并在几个关键领域超越它们。我们将使用九个已建立和新颖的成像方式获得有关纤维拖拉，形态学和表型的高分辨率数据。我们将专注于基于既定的临床神经调节位点选择的利益区域（ROI；表1）的评估（表1），可提高选择性的潜力（激活目标纤维并避免脱靶纤维），主要解剖学） 地标和手术可及性。我们将设置并利用我们的数据分析和可视化震中（DAVE）来确保数据验证，严格和及时传播。在先前的工作中，我们收集了神经 - 动物学数据，使用这些数据来构建现实的计算模型，设计了新颖的颅神经刺激范式，并将其转化为人类。因此，我们有独特的位置，可以收集Reva数据并确保数据将能够开发新的迷走神经调节疗法。