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ShEEP-IC: Request for NIRS/EEG – Brain Vision LLC Brain Imaging System

ShEEP-IC: Request for NIRS/EEG – Brain Vision LLC Brain Imaging System
SheEEP-IC:请求 NIRS/EEG — Brain Vision LLC 脑成像系统
批准号:
9796061
负责人:
SVETLANA PUNDIK
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-01-01 至 2019-09-30

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中文摘要
翻译
摘要 所要求的设备是脑电图(EEG)和近- 红外光谱(NIRS)脑成像系统。它是一种多模式、非侵入性、 一种紧凑、灵活的功能性脑成像系统, 皮层脑活动与光学地形图和脑电图(EEG)。为 第一次,EEG-NIRS系统将提供大脑传导能力, 当受试者同时执行复杂任务时, 上肢运动、认知任务和行走。此外,它还可以在 受试者接受脑和/或外周刺激。该系统允许构建 大脑皮层功能图和大脑连接性研究。无其他非侵入性 成像模式具有如此灵活、多方面的功能性脑成像能力 使得该系统非常适合应用于各种各样的人类研究项目。 使用该系统获得的数据将丰富对治疗效果的理解 方法和服务,以指导开发更创新/有效的护理方法 对于我们的退伍军人来说。克利夫兰退伍军人管理局有一组7个主要和2个次要用户, 通过获得EEG/NIRS脑成像,将大大推进研究 系统这些调查人员在获得资金方面有良好的记录, 在退伍军人事务部进行复杂的创新研究项目我们的团队包括 高级和初级科学家,其中一些人获得了多项优异奖 和那些获得职业发展奖的人。研究课题涵盖不同领域 对美国退伍军人来说非常重要的神经系统疾病。这 设备将是协作工作的基础。EEG/NIRS系统将 支持对中风,创伤性脑损伤, 脊髓损伤和运动障碍。该系统将被广泛应用于 资助的研究包括:脑机接口,截肢者的感觉恢复 使用外周刺激,中风和TBI后的上肢和步态恢复, 脊髓损伤患者上肢功能的恢复和帕金森病患者的运动控制 和肌张力障碍。除了提供一个独特的机会进行非常重要的 实验,该设备将支持合作和交流思想之间的 用户. FES中心实验室将容纳EEG/NIRS系统。我们有 在现有的基础上,制定了一项共享系统的可持续计划, 在我们的实验室里分享资源。PI和她的研究团队将 监督设备维护,确保所有人员得到充分的培训 用户. SheEP-IC可能是我们获得该系统的唯一机会。该系统具有 被确定为推进大量研究项目的关键工具, 在克利夫兰弗吉尼亚州进行,并将很容易在确定的用户之间共享。
英文摘要
Abstract The requested equipment is a combined Electroencephalography (EEG) and Near- infrared Spectroscopy (NIRS) brain imaging system. It is a multimodal, non-invasive, compact, flexible functional brain imaging system that provides data acquisition of cortical brain activity with optical topography and electroencephalography (EEG).!For the first time, the EEG-NIRS system will provide the capability of conducting brain imaging studies while a subject is simultaneously performing complex tasks such as upper limb movements, cognitive tasks and walking. In addition, it can be used while a subject receives brain and/or peripheral stimulation. The system allows for construction of a functional cortical map and the study of brain connectivity. No other non-invasive imaging modality has such flexible, multifaceted functional brain imaging capabilities making this system ideal for application in a wide variety of human research projects. Data acquired with the system will enrich understanding of the effectiveness of treatment methods and serve to direct development of more innovative/effective methods of care for our veterans. The Cleveland VA has a group of 7 Major and 2 Minor users whose research will be significantly advanced by the acquisition of an EEG/NIRS brain imaging system. These investigators have a proven track record of obtaining funding and conducting complex, innovative research projects at the VA. Our group includes both senior and junior scientists, some of whom have received multiple Merit Review awards and those with Career Development Awards. The research topics cover different areas of neurological diseases that are of great importance to American Veterans. This equipment will be a foundation for collaborative work. The EEG/NIRS system will support research being conducted for individuals with stroke, traumatic brain injury, spinal cord injury and movement disorders. This system will be utilized in a wide variety of funded studies including: Brain Computer Interface, sensory restoration in amputees using peripheral stimulation, upper limb and gait recovery after stroke and TBI, restoration of upper limb function in SCI and movement control in Parkinson's disease and dystonia. In addition to providing a unique opportunity to conduct very important experiments, this equipment will support collaboration and exchange of ideas among the users. The FES center laboratories will house the EEG/NIRS system. We have developed a sustainable plan of sharing the system based on an already existing practice in our laboratories of sharing resources. The PI and her research team will oversee and supervise the equipment maintenance and ensure adequate training of all users. ShEEP-IC is likely our only opportunity to obtain this system. The system has been identified as a critical tool for advancing a large number of research projects being conducted at the Cleveland VA and would easily be shared amongst the identified users.
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