Integrating Electromagnetic Multifocal Brain Stimulation and Recording Technologies

集成电磁多焦脑刺激和记录技术

• 批准号: 10038182
• 负责人: MATTI HAMALAINEN
• 金额: $ 26.21万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10038182
• 关键词: Adopted; Anatomic Models; Anatomy; Area; Brain; Brain Mapping; Brain imaging; Brain region; Breathing; Communities; Computer Models; Computer software; Data; Devices; Diffusion Magnetic Resonance Imaging; Electroencephalography; Electromagnetics; Elements; Fiber; Functional Magnetic Resonance Imaging; Geometry; Human; Image; Imaging technology; Magnetoencephalography; Maps; Measures; Methodology; Methods; Microscopic; Modeling; Neurons; Optics; Pathway Analysis; Pathway interactions; Protocols documentation; Publishing; Pump; Research; Resolution; Scanning; Source; Stimulus; Structure; Surface; System; Technology; Therapeutic Intervention; Time; computerized tools; electric field; imaging study; in vivo; interest; neuroregulation; new technology; novel; optical imaging; reconstruction; response; software development; tool; white matter

Project Summary There is an increasing interest in the use of non-invasive electromagnetic stimulation for therapeutic interventions as well as understanding of the functioning of the healthy human brain. Most of the tradi- tional protocols involve stimulation of a single target/focus region. However, evidence is mounting that a wide range of neuronal processing tasks rely on large-scale networks and their synchronization, sug- gesting that multi-focal stimulation would be a particularly promising avenue for enhanced neuromodu- lation protocols. Measuring the response of the brain networks to the stimulation is needed to quantify the effects and therefore concurrent brain mapping methodologies are necessary. To this end, both EEG and fMRI have been employed previously. We consider that the key to maximizing the potential of multi-focal scanning stimulation is the integration of the stimulation and imaging recording as it enables on-line analysis of the brain responses and also allows closed-loop paradigms to be developed. In this TRD, we leverage on our unique expertise in electromagnetic brain stimulation, imaging, and computa- tional modeling to provide a set of tools for the scientific community to promote the integration and ap- plication of multifocal brain imaging and stimulation. Naturally, the single-channel stimulation system users will benefit from the developed methods as well. In Aim 1, we will optimize the anatomical and functional MRI acquisition protocols to enable employing our recently published fast and accurate TMS- induced electric field (E-field) modeling approach to be adopted to computational targeting. In Aim 2, we will develop software (MNE-TMS), with an interface between the stimulation and recording devices that enable real-time analysis of the induced activations using our MNE-CPP platform and control of the stimulating devices. In Aim 3, we will incorporate the geometrical relationships of the neuronal ele- ments with respect to the stimulating E-fields need to be determined to understand the activations at mesoscopic and microscopic levels. In particular, we will extend our previously published methods to allow accurate reconstructions of the white matter bundles as they exit/enter the cortical mantle with of 1 mm resolution in vivo. We will couple the cortical surface geometry reconstructions to simulate the effects of the E-field on various neuronal elements that will allow us predicting the likelihood of the stimulus to engage different activation mechanisms/pathways.

项目摘要 对使用非侵入性电磁刺激的治疗感越来越兴趣 干预措施以及对健康人脑功能的理解。大多数传统 Tional方案涉及刺激单个目标/焦点区域。但是，有证据表明 广泛的神经元处理任务依赖于大规模网络及其同步，sug- 孕育多焦点刺激将是增强神经瘤的特别有希望的途径 处理协议。需要测量大脑网络对刺激的响应以量化 效果以及并发的大脑映射方法是必要的。为此，两者都 EEG和FMRI以前已被雇用。我们认为，最大化潜力的关键 多核扫描刺激是刺激和成像记录的整合，因为它可以启用 对大脑反应的在线分析，还允许开发闭环范式。在这个 TRD，我们利用了我们在电磁脑刺激，成像和计算方面的独特专业知识 建模为科学界提供一组工具，以促进整合和 多灶性脑成像和刺激的原隙。自然，单通道刺激系统 用户也将从开发的方法中受益。在AIM 1中，我们将优化解剖学和 功能性MRI获取协议，以实现我们最近发表的快速，准确的TMS- 诱导电场（电子场）建模方法将采用计算靶向。在AIM 2中， 我们将开发软件（MNE-TMS），并在刺激和记录设备之间具有接口 可以使用我们的MNE-CPP平台对诱导的激活进行实时分析，并控制 刺激设备。在AIM 3中，我们将结合神经元电子的几何关系 需要确定相对于刺激的电子场的构造，以了解 介质和微观水平。特别是，我们将把以前发表的方法扩展到 当白质束出口/进入皮质地幔时，可以准确重建白质捆绑包 1 mm分辨率在体内。我们将对皮质表面几何重建进行策划，以模拟 电子场对各种神经元元素的影响，这将使我们预测 刺激参与不同的激活机制/途径。