Engineering the Neuronal Response to Electrical Microstimulation

设计神经元对电微刺激的反应

• 批准号: 10661509
• 负责人: Mark E. Orazem
• 金额: $ 109.26万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10661509
• 关键词: 3-Dimensional; Action Potentials; Address; Affect; Area; Axon; Behavioral; Brain; Charge; Chronic; Clinical; Communities; Computer Models; Computer software; Dependence; Diffuse Pattern; Dimensions; Electric Stimulation; Electrodes; Electrolytes; Electrophysiology (science); Elements; Encapsulated; Engineering; Evaluation; Foreign Bodies; Gene Expression; Geometry; Goals; Guidelines; Human; Immediate-Early Genes; Individual; Injections; Injury; Lead; Measurement; Methods; Microelectrodes; Mission; Modeling; Modernization; Nervous System; Neurons; Neurosciences; Non-linear Models; Outcome; Outcome Assessment; Performance; Physiological; Presynaptic Terminals; Reporting; Research; Resolution; Saline; Sampling; Seminal; Structure; Surface; Technology; Testing; Tissues; United States National Institutes of Health; Update; Work; behavior measurement; density; design; disability; dynamic system; electric field; electrical microstimulation; empowerment; fabrication; human disease; in vivo; innovation; manufacturing technology; meter; microstimulation; neural; neuroprosthesis; neuroregulation; novel; novel strategies; predictive modeling; response; temporal measurement; tool; user-friendly

PROJECT SUMMARY/ABSTRACT Our proposed efforts align directly with a goal of RFA-NS-18-019: optimization of transformative technologies for modulation in the nervous system. Specifically, we seek to optimize microelectrode arrays (MEAs) and ultra-microelectrode arrays (UMEAs) for large-scale circuit manipulation that will control neural activity at cellular resolution with high temporal resolution. Our goals are to 1) advance CNS MEA and UMEA electrical microstimulation by testing the separate hypotheses that MEAs and UMEAs can deliver safe, effective levels of cortical electrical stimulation and 2) advance research by generating transformative tools and technologies that will be widely used throughout the research community. Here we propose combining computational modeling, engineering optimization, and in vivo measurement to address these challenges and produce advances in microstimulation and tools for the community. Our Aims are to 1) engineer approaches to non-damaging charge, 2) engineer approaches to enable selective and graded activation of targeted neural elements, and 3) document the performance of the innovations from Aim 1 and Aim 2. via an outstanding team working together to address this interdisciplinary problem, our innovative approach will result in 1) models to deliver non- damaging currents from MEAs and UMEAs; 2) evaluation of the models to optimize MEA and UMEA design for microstimulation; and 3) experimental assessment of the outcomes of our designs, both within our team and with our collaborators. Our transformative results will lead to model-based optimization of reliable and high-fidelity multichannel microstimulation technologies enabling sustainable, broad dissemination and user-friendly incorporation into regular neuroscience practice.

项目概要/摘要 我们提出的努力与 RFA-NS-18-019 的目标直接一致：优化神经系统调节的变革技术。具体来说，我们寻求优化微电极阵列（MEA）和超微电极阵列（UMEA）以进行大规模电路操作，从而以高时间分辨率在细胞分辨率下控制神经活动。我们的目标是 1) 通过测试 MEA 和 UMEA 可以提供安全、有效水平的皮层电刺激的单独假设来推进中枢神经系统 MEA 和 UMEA 电微刺激；2) 通过生成将在整个领域广泛使用的变革性工具和技术来推进研究研究社区。在这里，我们建议结合计算建模、工程优化和体内测量来应对这些挑战，并为社区带来微刺激和工具的进步。我们的目标是 1) 设计出非破坏性电荷的方法，2) 设计出能够选择性和分级激活目标神经元件的方法，以及 3) 通过出色的团队合作记录目标 1 和目标 2 的创新性能为了解决这个跨学科问题，我们的创新方法将产生 1) 从 MEA 和 UMEA 提供无损坏电流的模型； 2) 评估模型以优化微刺激的 MEA 和 UMEA 设计； 3）在我们的团队内部和与我们的合作者一起对我们的设计结果进行实验评估。我们的变革性成果将导致基于模型的可靠和高保真多通道微刺激技术的优化，从而实现可持续、广泛传播并以用户友好的方式融入常规神经科学实践中。