BCI2000+: A Software Platform for Adaptive Neurotechnologies

BCI2000：自适应神经技术的软件平台

• 批准号: 10394429
• 负责人: Peter Brunner
• 金额: $ 39.67万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-15 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10394429
• 关键词: Achievement; Adopted; Architecture; Behavior; Behavioral; Brain; Categories; Cerebral Palsy; Clinic; Clinical Research; Code; Communication; Complement; Complex; Computer software; Consumption; Custom; Data; Data Analyses; Development; Disease; Documentation; Electric Stimulation; Engineering; Feedback; Fostering; Generations; Goals; Head; Impairment; Injury; Investigation; Journals; Laboratories; Laboratory Research; Laboratory Study; Life; Link; Measures; Methods; Modeling; Multicenter Studies; Muscle; Nervous System Physiology; Nervous system structure; Neuraxis; Output; Paper; Peer Review; Persons; Physiological; Process; Recovery; Recovery of Function; Reporting; Research; Research Personnel; Scientist; Security; Signal Transduction; Spinal cord injury; Stroke; Sum; System; Systems Development; Technology; Testing; Therapeutic; Time; Translations; Visual; Visualization software; Work; base; behavior measurement; brain computer interface; collaborative environment; cost; data acquisition; data integration; data management; data tools; data visualization; exhaustion; experience; flexibility; graphical user interface; improved; interoperability; multimodal data; multimodality; nervous system disorder; neurotechnology; new growth; new technology; novel; novel therapeutics; prosthesis control; prototype; research and development; research clinical testing; spinal cord and brain injury; stroke therapy; success; symposium; technology development; tool

Project Summary/Abstract Recent scientific and technical advances enable the development of systems for creating novel interactions with the central nervous system (CNS) that can induce beneficial plasticity. These systems, called adaptive neurotechnologies, measure signals from the CNS, derive from these signals the state of the CNS, and adaptively provide feedback that can restore, replace, enhance, supplement or improve CNS functions impaired by injury or disease. Thus, they can provide powerful new therapies for stroke, head or spinal cord injury, cerebral palsy, and other devastating disorders. For example, they can restore communication to people who have lost muscle control, and they can enhance functional recovery for people with spinal cord injury or stroke. The development of these technologies is impeded by the need for research groups to create specialized real-time software, which is usually a lengthy, difficult, expensive, and sometimes impractical task. Thus, realization of these new technologies could be greatly facilitated by a robust and flexible software platform that supports complex real-time interactions with the CNS throughout the development process, from the laboratory through clinical testing. The goal of this proposal is to create this platform. The central hypothesis is that, by creating this new platform and giving it to scientists, engineers, and clinicians, this software platform will accelerate realization of adaptive neurotechnologies that reduce the devastating impact of neurological disorders. This hypothesis is supported by the investigators' past experience and success in creating and disseminating BCI2000, a software platform for brain-computer interfaces (BCIs), one category of adaptive neurotechnologies. BCI2000 has supported scientific and clinical studies reported in over 1000 papers. This proposed project will transform BCI2000 into BCI2000+, a hardened, expanded, easy-to-use, and fully documented software platform for a broad range of adaptive neurotechnologies. Aim 1 will create a reliable, fail-safe, and fault-tolerant architecture, produce new functionalities for multimodal signal acquisition, real-time processing and output generation, and user extensions. Aim 2 will produce new graphical tools for rapid system prototyping, advanced signal and data visualization, comprehensive user-appropriate documentation, and auxiliary tools for data management and offline analysis. BCI2000+ will be optimized and validated through extensive in-lab testing and through beta testing by other groups. Achievement of these aims will produce BCI2000+, a software platform that supports new adaptive neurotech- nologies from initial laboratory studies through clinical testing. This robust, flexible, and easily adopted platform should encourage scientists, engineers, and clinicians to join in this exciting work; it should foster a collaborative environment that enables diverse investigators to work together and complement each other. In sum, the work proposed here will accelerate realization of novel adaptive neurotechnologies that enable scientific investigation and improve treatment for stroke, brain and spinal cord injury, and other devastating neurological disorders.

项目总结/摘要 最近的科学和技术进步使系统的发展，创造新的相互作用 与中枢神经系统（CNS），可以诱导贝内的可塑性。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，从这些信号中得出中枢神经系统的状态，并自适应地 提供反馈，可以恢复、替代、增强、补充或改善因损伤而受损的CNS功能，或 疾病因此，它们可以为中风、头部或脊髓损伤、脑瘫和中风提供强大的新疗法。 其他毁灭性的疾病。例如，它们可以恢复失去肌肉控制的人的沟通， 它们可以促进脊髓损伤或中风患者的功能恢复。 这些技术的发展受到研究小组需要建立专门的 实时软件，这通常是一个漫长的，困难的，昂贵的，有时不切实际的任务。因此，实现 这些新技术中的一部分可以通过一个强大而灵活的软件平台来大大促进，该平台支持 在整个开发过程中，从实验室到 临床试验我们的目标是建立这个平台。 核心假设是，通过创建这个新平台并将其提供给科学家，工程师和临床医生， 该软件平台将加速实现自适应神经技术，以减少破坏性影响 神经系统紊乱的症状这一假设得到了调查人员过去的经验和成功的支持， 创建和推广BCI 2000，一个脑机接口（BCI）的软件平台， 适应性神经技术BCI 2000支持了1000多篇论文中报告的科学和临床研究。 该拟议项目将把BCI 2000转变为BCI 2000+，一个经过强化、扩展、易于使用且完全 文档化的软件平台，用于广泛的自适应神经技术。目标1将创建一个可靠的， 故障安全和容错架构，为多模式信号采集、实时 处理和输出生成以及用户扩展。Aim 2将为快速系统提供新的图形工具 原型设计、先进的信号和数据可视化、全面的用户适用文档以及辅助 用于数据管理和业务分析的工具。BCI 2000+将通过广泛的实验室内优化和验证 测试和其他团体的beta测试。 这些目标的实现将产生BCI 2000+，这是一个支持新的自适应神经技术的软件平台。 从最初的实验室研究到临床试验。这个强大、灵活且易于采用的平台 应该鼓励科学家，工程师和临床医生加入这项令人兴奋的工作;它应该促进合作， 环境，使不同的调查人员一起工作，相互补充。总之，工作 这里提出的将加速实现新的自适应神经技术，使科学研究 并改善中风、脑和脊髓损伤以及其他破坏性神经系统疾病的治疗。