Force-Based Manipulations Research Network

基于力的操纵研究网络

• 批准号: 10450926
• 负责人: Chad Cook
• 金额: $ 55.82万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-04-20 至 2027-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10450926
• 关键词: Address; Afferent Pathways; Alberta province; Area; Artificial Intelligence; Behavioral; Behavioral Research; Big Data; Biological; Biomechanics; Charge; Clinical; Collaborations; Communities; Delaware; Delphi Study; Development; Discipline; Educational workshop; Elements; Event; Extramural Activities; Funding; Future; Goals; Grant; Growth; Human; Image; Immunology; Institution; Integrative Medicine; Interdisciplinary Study; International; Intervention; Journals; Knowledge; Leadership; Literature; Manipulative Therapies; Massage; Measurement; Mediating; Mentors; Methodology; Methods; Molecular and Cellular Biology; Musculoskeletal Pain; Neurons; Neurosciences; Outcome; Pathologic; Physiological; Physiology; Pilot Projects; Positioning Attribute; Process; Psychology; Psychosocial Factor; Publications; Published Comment; Publishing; Recording of previous events; Research; Research Personnel; Research Priority; Resources; Role; Scientist; Sensory; Series; Spinal; Spinal Ganglia; Spinal nerve root structure; Techniques; Technology; Therapeutic; Therapeutic Uses; Time; Tissues; Touch sensation; Treatment/Psychosocial Effects; United States National Institutes of Health; Universities; Work; base; career; cellular imaging; clinical care; clinical efficacy; clinical practice; contextual factors; design; dissemination strategy; interdisciplinary collaboration; mechanical force; mechanotransduction; meetings; member; minimally invasive; neural circuit; neuroimaging; neuromechanism; novel; pre-clinical; psychosocial; receptor; relating to nervous system; response; secondary analysis; social; social media; special interest group; synergism; systematic review; tool; virtual; web site; webinar

ABSTRACT Whereas a large body of mechanosensation knowledge exists, synergy between our current understanding of sensory mechanotransduction and Force-Based Manipulations (FBM) mechanisms across research disciplines remains severely limited. This lack of synergy between these research fields has proven to be a formidable barrier to the advancement and therapeutic optimization of FBM. To accelerate interdisciplinary collaborative research and advance the FBM field, we aim to establish a national/international academic and professional Force-Based Manipulation network (ForceNet). The charge of ForceNet will be to successfully overcome the long-established barriers pertaining to: 1) the lack of universal FBM force-related metrics, 2) the lack of FBM mechanistic knowledge (including how mechanosensitive receptors, neurons, and circuits change in pathological conditions), and 3) the undefined but potentially important role of contextual factors on FBM mechanisms. To accomplish our Network goals, we will stimulate interdisciplinary research at the intersections of physiology, biomechanics, big data/artificial intelligence, neuroscience, immunology, imaging and psychology emphasizing clinical and translationally relevant research addressing FBM metrics of applied force, neural mechanisms of FBM mechanotransduction, and FBM contextual effects. ForceNet will emphasize the development of new interdisciplinary collaborations and the submission of novel experimental and translational pre-clinical pilot projects. These pilot projects will encompass basic, theoretical framework, and translational designs, primary and secondary analyses, new and ancillary projects, and will be open to investigators across the entire academic career spectrum. ForceNet aims to grow and diversify the FBM workforce, develop a pipeline of new FBM interdisciplinary investigators, and encourage new collaborations between larger research-intensive public universities and smaller Integrative Medicine institutions. ForceNet will use a variety of avenues to create and share new FBM knowledge and resources including performing a FBM Delphi Study, publishing 6-10 articles in a special issue of Journal of Manual and Manipulative Therapy, hosting face-to-face and virtual, workshops, webinars, creating an interactive website where ForceNet members can locate future interdisciplinary collaborators, and using social media to promote and share Network resources. Pilot grant awardees will present their research findings at our annual ForceNet workshops, designed to encourage new interdisciplinary FBM collaborations. To sustain ForceNet network growth after the funding period ends, we will establish ForceNet “special interest groups”, satellite events, and social events at large national/international scientific meetings in which ForceNet members attend regularly and/or serve in a leadership capacity. As current leaders in the field of basic and clinical FBM research, the resources provided to the ForceNet Leadership Team along with our highly visible institutions and established personal networks of interdisciplinary collaborators makes our proposal well positioned to substantially impact FBM mechanistic research and clinical care for decades to come.

抽象的 虽然存在大量的机械感觉知识，但我们目前对机械感觉的理解之间的协同作用 跨研究学科的感觉机械传导和基于力的操纵（FBM）机制 事实证明，这些研究领域之间缺乏协同作用仍然受到严重限制。 FBM 的进步和治疗优化的障碍 加速跨学科合作。 研究和推进 FBM 领域，我们的目标是建立一个国家/国际学术和专业机构 基于力的操纵网络（ForceNet）。ForceNet的任务是成功克服力。 长期存在的障碍涉及：1) 缺乏通用的 FBM 力相关指标，2) 缺乏 FBM 机械知识（包括机械敏感受体、神经元和电路在病理过程中如何变化） 条件），3）背景因素对 FBM 机制的未定义但潜在的重要作用。 为了实现我们的网络目标，我们将促进生理学交叉点的跨学科研究， 生物力学、大数据/人工智能、神经科学、免疫学、影像学和心理学重点 临床和转化相关研究，涉及施加力的 FBM 指标、神经机制 FBM 机械传导和 FBM 上下文效应将强调新的开发。 跨学科合作以及提交新颖的实验和转化临床前试点 这些试点项目将包括基础理论框架和转化设计、主要内容。 和二次分析、新的和辅助项目，并将向整个学术界的研究人员开放 ForceNet 旨在发展 FBM 劳动力并使之多样化，开发新的 FBM 管道。 跨学科研究人员，并鼓励更大的研究密集型公众之间的新合作 大学和小型综合医学机构将使用多种途径来创建和使用。 分享新的 FBM 知识和资源，包括进行 FBM Delphi 研究、在以下领域发表 6-10 篇文章 《手法治疗杂志》特刊，举办面对面和虚拟研讨会， 网络研讨会，创建一个交互式网站，ForceNet 成员可以在其中找到未来的跨学科 合作者，并利用社交媒体来推广和共享网络资源。试点赠款获奖者将出席。 他们在我们的年度 ForceNet 研讨会上的研究成果，旨在鼓励新的跨学科 FBM 为了在资助期结束后维持ForceNet网络的增长，我们将建立ForceNet。 “特殊兴趣小组”、卫星活动以及大型国家/国际科学会议上的社交活动 ForceNet 成员定期参加和/或担任该领域的现任领导者。 基础和临床 FBM 研究、向 ForceNet 领导团队提供的资源以及我们的 高度知名的机构和跨学科合作者建立的个人网络提出了我们的建议 处于有利地位，将在未来几十年对 FBM 机械研究和临床护理产生重大影响。