Jotwani Maya L, Wu Ziyan, Lunde Claire E, Sieberg Christine B
Department of Psychiatry and Behavioral Sciences, Biobehavioral Pain Innovations Lab, Boston Children's Hospital, Boston, MA, United States.
Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care, Pain Medicine, Boston Children's Hospital, Boston, MA, United States.
Front Pain Res (Lausanne). 2022 Oct 14;3:1022699. doi: 10.3389/fpain.2022.1022699. eCollection 2022.
Pediatric chronic pain is a significant global issue, with biopsychosocial factors contributing to the complexity of the condition. Studies have explored behavioral treatments for pediatric chronic pain, but these treatments have mixed efficacy for improving functional and psychological outcomes. Furthermore, the literature lacks an understanding of the biobehavioral mechanisms contributing to pediatric chronic pain treatment response. In this mini review, we focus on how neuroimaging has been used to identify biobehavioral mechanisms of different conditions and how this modality can be used in mechanistic clinical trials to identify markers of treatment response for pediatric chronic pain. We propose that mechanistic clinical trials, utilizing neuroimaging, are warranted to investigate how to optimize the efficacy of behavioral treatments for pediatric chronic pain patients across pain types and ages.
儿童慢性疼痛是一个重大的全球性问题,生物心理社会因素导致了该病症的复杂性。已有研究探索了针对儿童慢性疼痛的行为治疗方法,但这些治疗方法在改善功能和心理结果方面的疗效参差不齐。此外,文献中缺乏对导致儿童慢性疼痛治疗反应的生物行为机制的理解。在本综述中,我们重点关注神经影像学如何被用于识别不同病症的生物行为机制,以及这种方法如何应用于机制性临床试验,以确定儿童慢性疼痛治疗反应的标志物。我们认为,利用神经影像学的机制性临床试验有必要探讨如何优化针对不同疼痛类型和年龄段的儿童慢性疼痛患者的行为治疗效果。