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: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10649719
• 关键词: Acceleration; Achievement; Address; Adopted; Adoption; Area; Behavior; Biomedical Engineering; Central Nervous System; Clinical; Communication; Complement; Complex; Computer software; Consumption; Custom; Development; Diagnosis; Disease; Documentation; Educational Curriculum; Engineering; Feedback; Fostering; Funding; Impairment; Injury; Investigation; Laboratories; Life; Measures; Muscle; Nervous System; Nervous System Physiology; Neurosciences; Output; Peer Review; Persons; Process; Programming Languages; Protocols documentation; Publications; Recovery; Research; Research Personnel; Resources; Scientist; Signal Transduction; Site; Software Tools; Spinal cord injury; Stroke; System; Systems Development; Teaching Materials; Technology; Testing; Time; Training; Translations; United States National Institutes of Health; Universities; Work; collaborative environment; computer science; cost; experimental study; improved; interest; interoperability; knowledge integration; multidisciplinary; nervous system disorder; neurotechnology; novel; novel therapeutics; research and development; success; technology development; verification and validation

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.

中枢神经系统（CNS）在整个生命中都发生了变化，以及它与世界生产活动的相互作用 - 使其能够获取和维持有用的行为的依赖性可塑性。最近的科学和技术 进步支持建立与可以诱导和 指导利益可塑性。这些系统称为自适应神经技术，测量来自中枢神经系统的信号 并发行为，源自这些信号中枢神经系统的状态，并自适应提供实时反馈 可以恢复，更换，增强，补充或改善受伤或疾病损害的中枢神经系统功能。那， 他们可以为神经系统疾病提供重要的新疗法。 自适应神经技术的发展和使用是固有的多学科努力。 这些潜水区的知识和思想融合，以及它们通过高度成熟的实施 软件/硬件系统需要大量时间，精力和多学科专业知识。这会减慢进展 在自适应神经技术的研究和开发中，并限制了成功的群体数量 实现这些技术。本提案旨在解决这两个主要问题。 在过去的18年中，我们已经开发并传播了一个名为BCI2000的软件平台， 支持与CNS的相互作用，并可以实施广泛的自适应神经技术。迄今为止， 我们已将其提供给全球6,000多名用户，他们使用它来支持描述的实验 在1200多个同行评审的出版物中。尽管有这一价值，但BCI2000的采用受到 对BCI2000所需的BCI2000概念的实质性编程专业知识的要求 将BCI2000适应并集成到特定的特定实验协议和硬件技术中 实验室。这是，大多数研究小组无法利用BCI2000提供的优势。我们 通过简化所有主要适应性类别的bci2000的任务来解决这种缺乏效率 神经技术实验（AIM 1），并通过提供简洁的介绍课程和现场培训 科学家，工程师和临床医生（AIM 2）。我们假设这项工作将大大加速 自适应神经技术将减少神经系统疾病的破坏性影响。 实现这两个目标将创建并传播一个主要的新软件资源，用于自适应神经技术 OGY研究。其独特的公用事业应该使更多的科学家，工程师和临床医生能够参与这种令人兴奋的 工作。此外，这种常见的，可互操作的，易于采用且易于改编的平台应促进 协作环境使潜水员调查员能够共同努力并相互补充。总而 我们希望该提案的工作将加速实现新型的适应性神经技术的实现 加快科学研究，以改善许多毁灭性神经系统疾病的治疗。