Lendaro Eva, Van der Sluis Corry K, Hermansson Liselotte, Bunketorp-Käll Lina, Burger Helena, Keesom Els, Widehammar Cathrine, Munoz-Novoa Maria, McGuire Brian E, O'Reilly Paul, Earley Eric J, Iqbal Sonam, Kristoffersen Morten B, Stockselius Anita, Gudmundson Lena, Hill Wendy, Diers Martin, Turner Kristi L, Weiss Thomas, Ortiz-Catalan Max
Department of Electrical Engineering, Chalmers University of Technology, Goteborg, Sweden.
Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Pain. 2025 Mar 1;166(3):571-586. doi: 10.1097/j.pain.0000000000003384. Epub 2024 Sep 5.
Phantom limb pain (PLP) represents a significant challenge after amputation. This study investigated the use of phantom motor execution (PME) and phantom motor imagery (PMI) facilitated by extended reality (XR) for the treatment of PLP. Both treatments used XR, but PME involved overt execution of phantom movements, relying on the decoding of motor intent using machine learning to enable real-time control in XR. In contrast, PMI involved mental rehearsal of phantom movements guided by XR. The study hypothesized that PME would be superior to PMI. A multicenter, double-blind, randomized controlled trial was conducted in 9 outpatient clinics across 7 countries. Eighty-one participants with PLP were randomly assigned to PME or PMI training. The primary outcome was the change in PLP, measured by the Pain Rating Index, from baseline to treatment cessation. Secondary outcomes included various aspects related to PLP, such as the rate of clinically meaningful reduction in pain (CMRP; >50% pain decrease). No evidence was found for superiority of overt execution (PME) over imagery (PMI) using XR. PLP decreased by 64.5% and 68.2% in PME and PMI groups, respectively. Thirty-seven PME participants (71%) and 19 PMI participants (68%) experienced CMRP. Positive changes were recorded in all other outcomes, without group differences. Pain reduction for PME was larger than previously reported. Despite our initial hypothesis not being confirmed, PME and PMI, aided by XR, are likely to offer meaningful PLP relief to most patients. These findings merit consideration of these therapies as viable treatment options and alternatives to pharmacological treatments.
幻肢痛(PLP)是截肢后面临的一项重大挑战。本研究调查了利用扩展现实(XR)辅助的幻肢运动执行(PME)和幻肢运动想象(PMI)来治疗PLP的效果。两种治疗方法都使用了XR,但PME涉及明显的幻肢运动执行,依靠机器学习对运动意图进行解码以在XR中实现实时控制。相比之下,PMI涉及在XR引导下对幻肢运动进行心理演练。该研究假设PME优于PMI。在7个国家的9个门诊诊所进行了一项多中心、双盲、随机对照试验。81名患有PLP的参与者被随机分配到PME或PMI训练组。主要结局是从基线到治疗结束时通过疼痛评分指数测量的PLP变化。次要结局包括与PLP相关的各个方面,如临床上有意义的疼痛减轻率(CMRP;疼痛减轻>50%)。未发现使用XR进行明显执行(PME)比想象(PMI)更具优势的证据。PME组和PMI组的PLP分别下降了64.5%和68.2%。37名PME参与者(71%)和19名PMI参与者(68%)经历了CMRP。所有其他结局均记录到积极变化,且无组间差异。PME的疼痛减轻幅度大于先前报道。尽管我们最初的假设未得到证实,但在XR辅助下,PME和PMI可能会为大多数患者提供有意义的PLP缓解。这些发现值得将这些疗法视为可行的治疗选择以及药物治疗的替代方法加以考虑。