Robotically-actuated, low-noise, concurrent TMS-EEG-fMRI system

机器人驱动、低噪声、并发 TMS-EEG-fMRI 系统

基本信息

批准号：
10614611
负责人：
CHUNLEI LIU
金额：
$ 161.02万
依托单位：
UNIVERSITY OF CALIFORNIA BERKELEY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-07-01 至 2025-04-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10614611
关键词：
Acoustic Stimulation Address Algorithms Anatomy Auditory Bluetooth Brain Brain Mapping Brain imaging Cephalic Clinical Computer software Custom Data Development Disease Effectiveness Electrodes Electroencephalography Electromagnetics Electronics Evaluation Feedback Foundations Functional Magnetic Resonance Imaging Funding Head Health Human Image Magnetic Resonance Imaging Maps Measures Methods Morphologic artifacts Nature Neurosciences Neurosciences Research Noise Pattern Performance Persons Phase Positioning Attribute Printing Research Research Personnel Resolution Robot Robotics Safety Signal Transduction Speed Synapses System Systems Integration Techniques Technology Therapeutic Intervention Thinness Time Transcranial magnetic stimulation United States National Institutes of Health Work auditory pathway blood oxygen level dependent data communication design energy efficiency experience flexibility flexible electronics improved in vivo industry partner invention magnetic field magnetic resonance imaging/electroencephalography miniaturize multimodality neural neural circuit neuroregulation new technology novel operation response robotic system sound spatiotemporal temporal measurement tool wireless

项目摘要

Abstract The ability to noninvasively modulate and image the brain with spatial and temporal precision is highly desirable for understanding brain circuits in health and disease. Transcranial magnetic stimulation (TMS) is a method for stimulating the superficial cortex with high spatial and temporal precision, and its effects can be aimed at deeper targets by leveraging the trans-synaptic connectivity of brain circuits. Functional magnetic resonance imaging (fMRI) has high spatial resolution but limited temporal precision, and the opposite holds for electroencephalography (EEG). These three noninvasive electromagnetic methods have recently been combined to achieve high spatial and temporal precision of concurrent modulation and imaging of the brain. This approach, however, has various significant technical limitations, including mutual electromagnetic artifacts decreasing the signal-to-noise ratio and delaying the acquisition of imaging/EEG data, TMS acoustic noise co- activating auditory pathways, and the inability to adaptively adjust the TMS coil position within the MRI scanner for optimal targeting. The overarching objective of this project is to address these limitations by developing and integrating an array of novel technologies. We will develop a compact, energy efficient, quiet, as well as MRI- and EEG-compatible TMS coil. The TMS coil will be actuated with a custom MRI-compatible robotic system, allowing adaptive optimization of the coil position and orientation based on imaging feedback. The neural circuit responses to the stimulation will be imaged with a newly developed a flexible, head-conforming array of MRI coils combining local magnetic field shimming and RF receiving to achieve high signal-to-noise ratio and fast image acquisition. The brain activity will be simultaneously recorded both before and after TMS with high temporal resolution and low noise using a novel wireless EEG system. To meet the technical challenges of creating such as a system operating inside MRI scanners, our team has developed several breakthrough technologies that will work synergistically to reduce or eliminate couplings between system components and enhance the stimulation precision and imaging speed and sensitivity. Once developed, the robotically-actuated TMS-EEG-fMRI system will enable systematic interrogation of human brain circuits inside an MRI scanner with spatial and temporal flexibility and precision that are impossible to achieve with current technology. The integrated system will be easy-to-use, and platform-agonistic thus having the potential for immediate and scalable impact. First-time adaptive optimization of the TMS coil placement in the MRI scanner will be demonstrated for brain-state-triggered engagement of a deep brain target. In summary, the proposed robotically- actuated TMS-EEG-fMRI system will enable modulation and imaging of brain circuits with enhanced anatomical and functional precision that can lead to advances in neuroscience research and therapeutic interventions.

抽象的非常需要以空间和时间精度非侵入性地调节大脑并对其进行成像的能力用于了解健康和疾病中的大脑回路。经颅磁刺激（TMS）是一种方法以高时空精度刺激浅表皮层，其效果可针对更深层次通过利用大脑回路的跨突触连接来实现目标。功能磁共振成像（fMRI）具有高空间分辨率，但时间精度有限，反之亦然脑电图（EEG）。这三种非侵入性电磁方法最近被结合起来，实现大脑并发调制和成像的高空间和时间精度。这然而，该方法具有各种重大的技术限制，包括相互电磁伪影降低信噪比并延迟成像/脑电图数据的采集，TMS 声学噪声共同激活听觉通路，并且无法自适应调整 MRI 扫描仪内的 TMS 线圈位置以获得最佳目标。该项目的总体目标是通过开发和解决这些限制整合一系列新技术。我们将开发一种紧凑、节能、安静、以及 MRI- 和 EEG 兼容的 TMS 线圈。 TMS 线圈将由定制的 MRI 兼容机器人系统驱动，允许基于成像反馈自适应优化线圈位置和方向。神经回路对刺激的反应将通过新开发的灵活的、头部一致的 MRI 阵列进行成像线圈结合局部磁场匀场和射频接收，实现高信噪比和快速图像采集。将同时记录 TMS 前后的大脑活动，并具有高使用新型无线脑电图系统的时间分辨率和低噪声。为了应对技术挑战在创建诸如 MRI 扫描仪内部运行的系统之类的过程中，我们的团队取得了多项突破性成果协同工作以减少或消除系统组件和系统之间的耦合的技术提高刺激精度以及成像速度和灵敏度。一旦开发出来，机器人驱动的 TMS-EEG-fMRI 系统将能够对 MRI 扫描仪内的人脑回路进行系统询问空间和时间的灵活性和精度是当前技术无法实现的。这集成系统将易于使用且具有平台竞争性，因此有可能立即和可扩展的影响。 MRI 扫描仪中 TMS 线圈放置的首次自适应优化将证明了大脑状态触发的深部大脑目标的参与。总之，所提出的机器人驱动的 TMS-EEG-fMRI 系统将能够通过增强的解剖学功能对脑回路进行调制和成像和功能精确性可以促进神经科学研究和治疗干预的进步。