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 申请是根据 RFA-AT-23-009 编写的，旨在建立 一个高度优先的研究网络，探索基于音乐的潜在机制和新技术 干预（MBI）和疼痛研究。疼痛是一种多维的体验，会导致重要的个人影响 和社会成本。药物、手术治疗和麻醉疼痛程序可提供一定程度的缓解； 然而，它们各自都有很大的风险，并且没有解决社会心理、行为和/或 影响慢性疼痛状况的神经生理因素。因此，成年人正在转向非 控制疼痛的药理学、低风险方法——包括 MBI 等综合疗法。元- 分析结果表明，MBI 的有效性差异很大，具有初步的临床重要性。二 问题与 MBI 科学的现状尤其相关：1）尚不清楚研究人员如何决定哪个 MBI 中包含的成分以解决疼痛的生物心理社会性质，以及 2）对主观的依赖 缺乏心理测量严谨性并且对外部心理社会因素过于敏感的措施。 MBI 研究没有遵循传统的开发路径，而是注重有效性试验，省略了 必要的开发和优化研究。连接心理社会、行为和/或 神经生理学，同时开发和测试技术以补充患者 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 跨学科科学家小组将显着增进我们对潜在机制的理解 音乐减轻疼痛的能力，以及开发新技术来补充患者报告的能力 结果。该网络将由来自音乐等广泛领域的科学家和临床医生组成 治疗、心理学、工程学、神经科学、社会工作和医学。核心调查组将 通过专业和科学组织以及学术界征求更多科学家的参与 财团。该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： 探索新技术和方法，以增强对疼痛的客观、不引人注目的测量 音乐体验的背景。目标 3 实施试点计划，专门资助试点干预研究 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，并将新的研究人员引入该领域，以弥合基础、应用、 和临床研究，传播一个概念框架来理解机制和 测量 MBI 内的疼痛，并建立用于拨款申请的初步数据集。在这些 通过多种方式，网络将极大地加速专注于 MBI 研究优化的项目。