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
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
中文摘要
计算机算法和模型(即,计算模型)对该领域的科学理解和神经疾病康复的实施产生了深远的影响(神经康复)如中风、帕金森病、脑瘫、脊髓损伤,研究人员已经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的神经调节方法的设计,以增强运动功能,辅助技术的控制策略。同样,计算模型为骨科和运动医学的治疗决策提供了信息,其中描述发育、残疾和康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、多模态遥感器和多尺度数据集(从基因组学到行为)等技术开始与计算建模相结合,未来由基本机制知识驱动的个性化、适应性强的神经康复被认为是可能的。然而,计算建模工作仍然主要局限于研究社区-因此在临床护理中未得到充分利用,并且不适用于神经康复的客户。因此,迫切需要将投资于这些技术,模型,神经科学,康复和倡导社区的利益相关者聚集在一起,以评估迄今为止的进展,新软件和设备带来的机会以及客户需求。这将使社区能够确定差距和机会,以改善生活和护理质量。本次会议将汇集来自世界各地的专家和学员,讨论计算建模和神经康复交叉点的关键问题,挑战和机遇。参与本次研讨会的研究人员的使命是开发创新技术,可以使用计算建模和设备设计来理解,优化和改善神经康复。计算建模可以提供基本机制的基本见解,解释实验数据或推断无法通过实验获得的行为特征。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,本次会议将汇集来自不同领域的专家,他们可以建立计算建模的基础,从而创建科学见解,理论和可操作的平台,以提高神经康复的疗效和个性化。PI团队致力于举办一个多元化,包容性和可访问的会议。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宣传。所有会议的视频记录将通过YouTube频道公开提供,并提供支持文章,文档和资源,供其他人查看和构建,以支持未来的研究,翻译和创新。会议将按照SIGACCESS会议无障碍指南进行设计。会议还将有一个专门的团队成员作为无障碍主席,以及支持会议各个方面的物理,数字和社会访问所需的资源。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
CRCNS: Transcortical and spinal circuit contributions to hand shaping in primates - Real-time neuromorphic implementation for robotic demonstration
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批准号:2113096
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项目类别:Standard Grant
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资助金额:$94.68万
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财政年份:2021
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负责人:Francisco Valero-Cuevas
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依托单位:
EFRI-COPN: Reverse-engineering the Human Brain's Ability to Control the Hand
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批准号:0836042
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项目类别:Standard Grant
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资助金额:$200.0万
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财政年份:2008
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负责人:Francisco Valero-Cuevas
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依托单位:
CAREER: Educational Program in Neuromuscular Biomechanics and Uncovering the Neuromuscular Biomechanics of Dexterous Manipulation
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批准号:0750233
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项目类别:Continuing Grant
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资助金额:$7.15万
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财政年份:2007
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负责人:Francisco Valero-Cuevas
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依托单位:
Collaborative Research: ITR: A Robotics-Based Computational Environment to Simulate the Human Hand
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批准号:0312271
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项目类别:Continuing Grant
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资助金额:$13.0万
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财政年份:2003
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负责人:Francisco Valero-Cuevas
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依托单位:
CAREER: Educational Program in Neuromuscular Biomechanics and Uncovering the Neuromuscular Biomechanics of Dexterous Manipulation
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批准号:0237258
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项目类别:Continuing Grant
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资助金额:$40.0万
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财政年份:2003
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负责人:Francisco Valero-Cuevas
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依托单位:
海外基金