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BCI2000: Software Resource for Adaptive Neurotechnology Research

BCI2000: Software Resource for Adaptive Neurotechnology Research
BCI2000:自适应神经技术研究软件资源
批准号:
10649719
负责人:
Peter Brunner
金额:
$56.82万
依托单位:
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:
未结题
起止时间:
2019-05-01 至 2025-04-30

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中文摘要
翻译
中枢神经系统(CNS)在整个生命过程中不断变化,它与世界的互动产生了活动- 依赖的可塑性,使它能够获得并保持有用的行为。最新的科学和技术fic 进展支持系统的发展,这些系统可以与中枢神经系统产生新的相互作用,从而诱导和 引导良好的fi社会可塑性。这些系统被称为自适应神经技术,测量来自CNS和 并发行为,从这些信号中导出CNS的状态,并自适应地提供实时反馈 可以恢复、替换、增强、补充或改善因受伤或疾病而受损的中枢神经系统功能。因此, 它们可以为神经系统疾病提供重要的新疗法。 自适应神经技术的开发和使用本质上是一项多学科的努力。这个 整合来自这些不同领域的知识和想法,并通过高度复杂的方式实施 软件/硬件系统,需要大量的时间、精力和多学科的专业知识。这减慢了进度 在自适应神经技术的研究和开发中,并限制了在 实现这些技术。目前的建议旨在解决这两个主要问题。 在过去的18年里,我们开发并发布了一个名为BCI2000的软件平台, 支持与中枢神经系统的交互,并可实施广泛的自适应神经技术。到目前为止, 我们已经向全球6000多名用户提供了它,这些用户使用它来支持所述的实验 发表在1200多份同行评议的出版物上。尽管具有这样的价值,但BCI2000的采用受到 需要大量编程专业知识和对BCI2000概念的深入理解,以 将bci2000适配并集成到特定的fic实验协议和硬件技术中。 实验室。因此,大多数研究小组无法利用BCI2000提供的优势。我们 建议通过简化针对所有主要自适应类别的fifiGuring BCI 2000的任务来解决此问题 神经技术实验(目标1),并提供简明的入门课程和现场培训 科学家、工程师和临床医生(目标2)。我们假设这项工作将极大地加速实现 自适应神经技术,将减少神经疾病的破坏性影响。 实现这两个目标将创造和传播一个重要的自适应神经技术的新软件资源- 地理学研究。它的独特用途应该使更多的科学家、工程师和临床医生参与到这一令人兴奋的工作中来 工作。此外,这个通用的、可互操作的、易于采用和易于适应的平台应该会促进 协作环境,使不同的调查人员能够合作并相辅相成。总而言之, 我们预计,这项提案的工作将加速实现新的自适应神经技术,这将 加快对科学fic的研究,以改进对许多破坏性神经疾病的治疗。
英文摘要
The central nervous system (CNS) changes throughout life, and its interactions with the world produce activity- dependent plasticity that enables it to acquire and maintain useful behaviors. Recent scientific and technical advances support the development of systems that create novel interactions with the CNS that can induce and guide beneficial plasticity. These systems, called adaptive neurotechnologies, measure signals from the CNS and concurrent behavior, derive from those signals the state of the CNS, and adaptively provide real-time feedback that can restore, replace, enhance, supplement or improve CNS functions impaired by injury or disease. Thus, they can provide important new therapies for neurological disorders. The development and use of adaptive neurotechnologies is an inherently multidisciplinary endeavor. The integration of knowledge and ideas from these diverse areas, and their implementation by highly sophisticated software/hardware systems, requires substantial time, effort, and multidisciplinary expertise. This slows progress in research and development of adaptive neurotechnologies and limits the number of groups that are successful in realizing these technologies. The present proposal seeks to address these two major problems. Over the past 18 years, we have developed and disseminated a software platform, called BCI2000, that supports interactions with the CNS and can implement a wide range of adaptive neurotechnologies. To date, we have provided it to more than 6,000 users worldwide who have used it to support experiments described in over 1,200 peer-reviewed publications. Despite this demonstrated value, BCI2000 adoption is limited by the requirements of substantial programming expertise and in-depth understanding of BCI2000 concepts needed to adapt and integrate BCI2000 into the specific experimental protocols and hardware technologies of a particular laboratory. Thus, most research groups cannot take advantage of the advantages provided by BCI2000. We propose to address this deficiency by simplifying the task of configuring BCI2000 for all major classes of adaptive neurotechnology experiments (Aim 1), and by providing a succinct introductory course and on-site training for scientists, engineers, and clinicians (Aim 2). We hypothesize that this work will greatly accelerate realization of adaptive neurotechnologies that will reduce the devastating impact of neurological disorders. Achieving these two aims will create and disseminate a major new software resource for adaptive neurotechnol- ogy research. Its unique utility should enable more scientists, engineers, and clinicians to engage in this exciting work. Furthermore, this common, interoperable, readily adopted, and easily adapted platform should foster a collaborative environment that enables diverse investigators to work together and complement each other. In sum, we expect that the work of this proposal will accelerate realization of novel adaptive neurotechnologies that will hasten scientific investigations to improve treatment for many devastating neurological disorders.
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    10665166
  • 项目类别:
  • 资助金额:
    $23.33万
  • 财政年份:
    2023
  • 负责人:
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    10707462
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  • 资助金额:
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  • 财政年份:
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  • 依托单位:
An Ecosystem of Technology and Protocols for Adaptive Neuromodulation Research in Humans
  • 批准号:
    10516471
  • 项目类别:
  • 资助金额:
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  • 财政年份:
    2022
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  • 批准号:
    10077123
  • 项目类别:
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海外基金