RECONSTRUCTING VAGAL ANATOMY

迷走神经(VN)支配内脏，负责调节内脏 功能。用最新的高分辨率成像方式映射VN具有巨大的潜力，可以提高现有自主神经调节疗法的安全性和有效性，并为靶向或避免特定迷走神经纤维的新疗法的设计提供信息。我们将从样本大小、成像方式的范围、神经长度和成像分辨率的角度对VN进行迄今为止最全面的映射。我们将为迷走神经组织样本建立神经解剖库，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。这项工作将播种和 加快自主神经调节神经调节新疗法的开发。我们组建了一支出色的交叉和经验丰富的团队，使我们能够满足所有RFP标准，并在几个关键领域超过这些标准。我们将使用九种已建立的和新的成像方式获得关于纤维束成像、形态测量和表型的高分辨率数据。我们将重点评估合理的感兴趣区(ROI；表1)，根据已建立的临床神经调节部位、改善选择性的可能性(激活靶纤维和避免偏离靶纤维)、主要解剖结构选择 地标，和手术的可达性。我们将建立和利用我们的数据分析和可视化中心(DAVE)，以确保数据验证、严谨和及时传播。在我们之前的工作中，我们收集了神经解剖学数据，利用这些数据构建了现实的计算模型，设计了新的脑神经刺激范例，并将其翻译到人类身上。因此，我们在收集REVA数据并确保这些数据将有助于开发新的迷走神经调节疗法方面具有得天独厚的优势。

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.