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DARE Conference: Transformative Opportunities for Modeling in Neurorehabilitation; Los Angeles, California; March 3-4, 2023

DARE Conference: Transformative Opportunities for Modeling in Neurorehabilitation; Los Angeles, California; March 3-4, 2023
DARE 会议:神经康复建模的变革机会;
批准号:
2240277
负责人:
Francisco Valero-Cuevas
金额:
$10.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-12-15 至 2023-06-30

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中文摘要
翻译
大脑如何控制身体的计算机算法和模型(即计算模型)对该领域对中风、帕金森病、脑瘫、脊髓损伤等神经疾病(神经康复)康复的科学理解和实施产生了深远的影响。研究人员使用感觉运动控制和肌肉骨骼动力学的计算模型来指导他们设计神经调节方法以增强运动功能和辅助技术的控制策略。同样,计算模型在骨科和运动医学中提供了治疗决策的信息,其中描述发展、残疾和恢复轨迹的分析有可能帮助确定治疗的优先顺序和重点。随着人工智能、多模式遥感器和多尺度数据集(从基因组学到行为学)等技术开始与计算建模相结合,由基本机制知识驱动的个性化、适应性神经康复有望成为可能。然而,计算建模的努力在很大程度上仍然局限于研究社区-因此在临床护理中没有得到充分利用,神经康复的客户无法获得。因此,迫切需要将投资于这些技术、模型、神经科学、康复的利益攸关方聚集在一起,并倡导社区评估迄今的进展、新软件和设备带来的机会以及客户需求。这将使社区能够找出差距和机会,以改善生活和护理的质量。这次会议将汇集来自世界各地的专家和受训人员,讨论计算建模和神经康复交叉领域的关键问题、挑战和机遇。参与此次研讨会的研究人员的任务是开发创新的技术,可以使用计算建模和设备设计来理解、优化和改进神经康复。计算建模可以提供对解释实验数据或推断无法通过实验获得的行为特征的基本机制的基本见解。此外,计算建模可以支持辅助技术和其他创新技术的设计,这些技术可以加速和优化神经康复。重要的是,这次会议将汇集来自不同领域的专家社区,他们可以为计算建模建立基础,从而创建科学的见解、理论和可操作的平台,以提高神经康复的效率和个性化。PI团队致力于举办一个多样化、包容性和可访问性的会议。演讲者将来自不同的职业阶段和背景,会议将向广泛的机构、专业协会和专业领域进行广告宣传。所有会议的视频记录将通过YouTube频道公开提供,其中包含支持文章、文档和资源,供其他人查看并在此基础上支持未来的研究、翻译和创新。会议的设计将遵循SIGACCESS会议无障碍指南。会议还将有一名专门的团队成员担任无障碍主席,并提供所需资源,以支持会议的各个方面的物理、数字和社交访问。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Computer algorithms and models (i.e., computational modeling) of how the brain controls the body have had profound impacts on the field's scientific understanding and implementation of rehabilitation in neurological conditions (neurorehabilitation) such as stroke, Parkinson’s disease, cerebral palsy, spinal cord injury, etc. Researchers have used computational models of sensorimotor control and of musculoskeletal dynamics to guide their designs for neuromodulatory approaches to enhance motor function and for control strategies of assistive technologies. Similarly, computational models have informed treatment decisions in orthopedics and sports medicine, where analyses describing trajectories of development, disability, and recovery have had the potential to help prioritize and focus treatment. As technologies such as artificial intelligence, multimodal remote sensors, and multiscale datasets (from genomics to behavior) begin to integrate with computational modeling, a future in which personalized, adaptable neurorehabilitation driven by knowledge of fundamental mechanisms is envisioned to be possible. Nevertheless, computational modeling efforts remain largely confined to research communities — and thus underutilized in clinical care and not available to clients of neurorehabilitation. There is, therefore, an urgent need to bring together stakeholders invested in these technologies, models, neuroscience, rehabilitation, and advocate communities to evaluate progress to date, opportunities opened by novel software and devices, and client needs. This will allow the community to identify gaps and opportunities to improve quality of life and care. This conference will bring together experts and trainees from around the world to discuss critical questions, challenges, and opportunities at the intersection of computational modeling and neurorehabilitation. The mission of the researchers involved in this workshop is to develop innovative techniques that can use computational modeling and device design to understand, optimize, and improve neurorehabilitation. Computational modeling can provide foundational insights of fundamental mechanisms that explain experimental data or infer features of behavior that cannot be obtained experimentally. Further, computational modeling can support the design of assistive technology and other innovative technologies that can accelerate and optimize neurorehabilitation. Importantly, this conference will assemble a community of experts from different fields who can establish the foundation by which computational modeling can create the scientific insights, theories, and actionable platforms to improve the efficacy and personalization of neurorehabilitation. The PI Team is committed to a diverse, inclusive, and accessible conference. Speakers will be drawn from diverse career stages and backgrounds, and the conference will be advertised to a wide breadth of institutions, professional societies, and areas of expertise. Video recordings of all sessions will be publicly available via a YouTube channel with supporting articles, documentation, and resources for others to view and build upon to support future research, translation, and innovation. The conference will be designed following the SIGACCESS Guidelines for Conference Accessibility. The conference will also have a dedicated team member as Accessibility Chair, and the resources required to support physical, digital, and social access to all aspects of the conference.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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会议论文
CRCNS: Transcortical and spinal circuit contributions to hand shaping in primates - Real-time neuromorphic implementation for robotic demonstration
  • 批准号:
    2113096
  • 项目类别:
    Standard Grant
  • 资助金额:
    $94.68万
  • 财政年份:
    2021
  • 负责人:
    Francisco Valero-Cuevas
  • 依托单位:
EFRI-COPN: Reverse-engineering the Human Brain's Ability to Control the Hand
  • 批准号:
    0836042
  • 项目类别:
    Standard Grant
  • 资助金额:
    $200.0万
  • 财政年份:
    2008
  • 负责人:
    Francisco Valero-Cuevas
  • 依托单位:
CAREER: Educational Program in Neuromuscular Biomechanics and Uncovering the Neuromuscular Biomechanics of Dexterous Manipulation
  • 批准号:
    0750233
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $7.15万
  • 财政年份:
    2007
  • 负责人:
    Francisco Valero-Cuevas
  • 依托单位:
Collaborative Research: ITR: A Robotics-Based Computational Environment to Simulate the Human Hand
  • 批准号:
    0312271
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $13.0万
  • 财政年份:
    2003
  • 负责人:
    Francisco Valero-Cuevas
  • 依托单位:
海外基金