BCI2000+: A Software Platform for Adaptive Neurotechnologies

项目摘要/摘要 最新的科学fic和技术进步使用于创建新交互的系统的开发成为可能 中枢神经系统(CNS)可以诱导良好的fi可塑性。这些系统被称为自适应 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，可恢复、替换、增强、补充或改善因受伤或 疾病。因此，它们可以为中风、头部或脊髓损伤、脑性瘫痪和 其他破坏性的疾病。例如，它们可以恢复失去肌肉控制的人的交流， 它们还可以促进脊髓损伤或中风患者的功能恢复。 这些技术的发展受阻于研究小组需要创建专门的 实时软件，这通常是一项冗长、困难、昂贵，有时甚至不切实际的任务。因此，实现 这些新技术中的每一项都可以通过支持以下功能的强大且fl可扩展的软件平台来极大地促进 在整个开发过程中与CNS进行复杂的实时交互，从实验室到 临床测试。这项提议的目标是创建这个平台。 中心假设是，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 神经紊乱的症状。这一假设得到了调查人员过去的经验和在 创建和传播BCI2000，这是一个脑机接口(BCI)软件平台，属于 自适应神经技术。BCI2000支持了超过1,000篇论文中报告的Sciencefic和临床研究。 该提议的项目将把BCI2000转换为BCI2000，这是一个经过强化、扩展、易于使用和完全 记录的软件平台，适用于广泛的自适应神经技术。AIM 1将创建一个可靠的、 故障安全和容错架构，产生了多模式信号实时采集的新功能 处理和输出生成以及用户扩展。AIM 2将为快速系统生产新的图形工具 原型、高级信号和数据可视化、全面的用户适用文档和辅助 用于数据管理和fline分析的工具。BCI2000将通过广泛的实验室进行优化和验证 测试并通过其他组的Beta测试。 这些目标的实现将产生BCI2000，一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测试。这个强大、fl可扩展且易于采用的平台 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 一个使不同的调查人员能够共同工作并相互补充的环境。总而言之，这项工作 这里提出的将加速实现新的自适应神经技术，使科学fic研究成为可能。 并改进对中风、脑和脊髓损伤以及其他破坏性神经疾病的治疗。

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.