Music mechanisms and technologies network: Integrative models to address pain through music

音乐机制和技术网络：通过音乐解决疼痛的综合模型

• 批准号: 10765327
• 负责人: Debra S Burns
• 金额: $ 50.77万
• 依托单位: INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-21 至 2028-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10765327
• 关键词: Absenteeism at work; Acceleration; Acute Pain; Address; Adult; Adverse effects; Adverse event; American; Analgesics; Anesthesia procedures; Applications Grants; Applied Research; Basic Science; Behavioral; Biological Assay; Biological Markers; Clinical; Clinical Research; Clinical Trials; Complement; Complex; Data; Data Set; Development; Dimensions; Educational workshop; Effectiveness; Electrophysiology (science); Employment; Engineering; Financial Hardship; Foundations; Funding; Future; Health; Health Care Costs; Homelessness; Image; Integrative Therapy; Intervention; Intervention Studies; Link; Measurement; Measures; Mediating; Medicine; Methodology; Methods; Mission; Modeling; Music; Music Therapy; Neurosciences; Operative Surgical Procedures; Opioid; Outcome; Pain; Pain Measurement; Pain Nature; Pain Research; Pain management; Paper; Pathway interactions; Patient Outcomes Assessments; Patient Self-Report; Patients; Performance; Pharmaceutical Preparations; Pharmacologic Substance; Phase; Pilot Projects; Policies; Procedures; Process; Productivity; Professional Organizations; Psychologist; Psychology; Psychometrics; Psychosocial Factor; Public Health; Recommendation; Reporting; Research; Research Personnel; Research Priority; Risk; Role; Science; Scientist; Secure; Social Work; Social Workers; Structure; Techniques; Technology; Testing; Therapeutic Effect; Translating; Unemployment; United States National Institutes of Health; Work; Writing; addiction; biopsychosocial; chronic pain; chronic painful condition; clinical practice; effectiveness trial; experience; improved; interest; meetings; neurophysiology; new technology; non-opioid analgesic; novel; pharmacologic; preference; programs; prospective; psychosocial; response; scientific organization; side effect; social; societal costs; therapy development; webinar; working group

PROJECT SUMMARY/ABSTRACT This U24 application is written in response to RFA-AT-23-009 to establish a high-priority research network exploring potential mechanisms and novel technologies in music-based intervention (MBI) and pain research. Pain is a multidimensional experience that leads to significant personal and societal costs. Pharmacological, surgical treatments, and anesthesia pain procedures provide some relief; however, they each have significant risks and do not address the psychosocial, behavioral, and/or neurophysiological factors influencing chronic pain conditions. As such, adults are turning to non- pharmacological, lower risk methods to manage pain –include integrative therapies such as MBIs. Meta- analytic results suggest the effectiveness of MBIs is highly variable, with tentative clinical importance. Two issues are especially relevant to the current state of MBI science: 1) it is unclear how researchers decide which components to include in MBIs to address the biopsychosocial nature of pain, and 2) the reliance on subjective measures that lack psychometric rigor and that are overly sensitive to extraneous psychosocial factors. MBI research has not followed the traditional development pathway, but focused on effectiveness trials, omitting essential development and optimization studies. A framework linking psychosocial, behavioral, and/or neurophysiological, in parallel with the development and testing of technologies to complementing patient- reported outcomes, will provide the foundation for rigorous, prospective trials. This U24 network will assemble cross disciplinary group of scientists to significantly advance our understanding of the mechanisms underlying music’s capacity to alleviate pain, and to develop novel technologies to complement patient-reported outcomes. The network will consist of scientists and clinicians from a broad range of fields including music therapy, psychology, engineering, neuroscience, social work, and medicine. The core investigative team will solicit participation of additional scientists through professional and scientific organizations and academic consortiums. The network will focus on the following major aims: Aim 1: To address major gaps in our understanding of the biopsychosocial mechanisms, including biomarkers, of MBIs in chronic pain. Aim 2: Explore novel technologies and methods to enhance the objective, unobtrusive measurement of pain within the context of music experiences. Aim 3 Implement a pilot program to fund pilot intervention studies specifically focusing on the mechanisms and technologies to advance music-based pain research. The network will establish cross disciplinary teams and bring new investigators into this field to bridge gaps in basic, applied, and clinical research, disseminate a conceptual framework for understanding the mechanisms and measurement of pain within MBIs, and establish preliminary datasets for use in grant applications. In these ways, the network will dramatically accelerate programs focused on the optimization of MBI research.

项目摘要/摘要此U24应用程序是根据RFA-AT-23-009编写的，以建立 高优先级研究网络探索了基于音乐的潜在机制和新技术 干预（MBI）和疼痛研究。疼痛是一种多维体验，导致了重要的个人 和社会成本。药理，手术治疗和麻醉疼痛手术可以缓解； 但是，它们每个都有很大的风险，并且没有解决社会心理，行为和/或 神经生理因素影响慢性疼痛状况。因此，成年人正在转向非 治疗疼痛的药理，较低的风险方法包括综合疗法，例如MBIS。元 - 分析结果表明，MBI的有效性是高度可变的，具有暂定的临床重要性。二 问题与MBI科学的当前状态特别相关：1）目前尚不清楚研究人员如何决定哪个 在MBI中包括以解决疼痛的生物心理社会性质的组成部分，2）主观的缓解 缺乏心理严格的措施，并且对无关的社会心理因素过于敏感。 MBI 研究尚未遵循传统的发展途径，而是专注于有效性试验，省略了 基本的发展和优化研究。连接社会心理，行为和/或的框架 神经生理学，与技术的发展和测试并联，以补充患者 报告的结果将为严格的前瞻性试验提供基础。这个U24网络将组装 跨学科的科学家群体可显着提高我们对基本机制的理解 音乐减轻疼痛的能力，并开发新技术以补充患者报告 结果。该网络将包括来自包括音乐在内的各种领域的科学家和临床医生 治疗，心理学，工程，神经科学，社会工作和医学。核心调查团队将 通过专业和科学组织和学术索取其他科学家的参与 财团。网络将重点关注以下主要目标：目标1：解决我们的主要差距 了解慢性疼痛中MBI的生物心理社会机制，包括生物标志物。目标2： 探索新颖的技术和方法，以增强对疼痛的客观，不引人注目的测量 音乐经验的背景。 AIM 3实施试点计划，以资助飞行员干预研究 专注于推进基于音乐的疼痛研究的机制和技术。网络将 建立跨学科团队，并将新的调查人员带入该领域，以弥合基本，应用， 和临床研究，传播一个理解机制和的概念框架 测量MBI内的疼痛，并建立用于赠款应用程序的初步数据集。在这些 方式，网络将极大地加速计划，集中在MBI研究的优化上。