SEPCORPS Model - SEParating CORtical and SPinal -level motor control responses using transcranial direct current stimulation and transcutaneous electrical stimulation

SEPCORPS 模型 - 使用经颅直流电刺激和经皮电刺激分离皮质和脊髓水平的运动控制反应

• 批准号: 2130651
• 负责人: Filip Stefanovic
• 金额: $ 29.11万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2130651&HistoricalAwards=false
• 关键词: SEPCORPS; Model; SEParating; CORtical; SPinal

This project designs computer representations of the brain and spinal cord in order to better understand how humans move. The software is also built to duplicate how brain and spinal cord systems adapt to change, such as through injury. The researchers will use this software as part of an experimental study that explores medical technology used in brain stimulation and muscle stimulation to improve how it is used in healthcare. The computer representations will then be used to understand the interactions of these biological systems in human movement. The specific intents of this study will look at the brain’s adaptation in relation to the spinal cord’s role in modifying movement behavior based on the information it receives from the body’s natural sensors.Our overarching goal for this project is to develop the first corticospinal model that can capture cortical and spinal-level motor contributions modified by neurostimulation. The researchers will accomplish this by first building the model around healthy subjects performing a volitional cursor movement task on an in-house built human-machine interface. The motions will be perturbed with transcutaneous neuromuscular stimulation, allowing spinal-level stimulus-response behaviors to be modeled. Then, magnetic resonance imaging (MRI)-based systems analysis will be applied to implement mappings of the cortical controller to define the brain-muscle pathway in motor execution. These subject-specific tuned models will support the same cursor movement task experiments, but with perturbations being applied at both cortical and spinal levels using neurostimulation (non-invasive brain stimulation + neuromuscular stimulation). The measured effect will be leveraged by the computational model to separate cortical and spinal-level contributions, along with the inherent sensory-motor responses. This model is hypothesized to have translational application in the optimization of neurostimulation strategies and their related rehabilitation outcomes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目设计了大脑和脊髓的计算机表示，以便更好地了解人类如何移动。该软件还可以复制大脑和脊髓系统如何适应变化，例如通过受伤。研究人员将使用该软件作为实验研究的一部分，探索用于大脑刺激和肌肉刺激的医疗技术，以改善其在医疗保健中的使用方式。然后，计算机表示将用于理解这些生物系统在人类运动中的相互作用。本研究的具体目的是观察大脑对脊髓在基于身体天然传感器接收的信息修改运动行为中的作用的适应性。我们对本项目的总体目标是开发第一个皮质脊髓模型，该模型可以捕获通过神经刺激修改的皮质和脊髓水平的运动贡献。研究人员将首先围绕健康受试者建立模型，在内部构建的人机界面上执行意志光标移动任务。运动将被经皮神经肌肉刺激扰动，允许对脊髓水平的刺激反应行为进行建模。然后，基于磁共振成像（MRI）的系统分析将被应用于实现皮层控制器的映射，以定义运动执行中的脑-肌肉通路。这些特定于受试者的调谐模型将支持相同的光标移动任务实验，但使用神经刺激（非侵入性脑刺激+神经肌肉刺激）在皮质和脊髓水平施加扰动。计算模型将利用测量的效应来分离皮质和脊髓水平的贡献，沿着固有的感觉运动反应。假设该模型在神经刺激策略及其相关康复结果的优化中具有转化应用。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。