Neuromodulation therapy for phantom limb pain: A review of the current status and future perspectives

Xiaoyan Duan , Lijuan Xie , Peng Tang , Zhou Feng , Han Chen , Rubing Yan , Jingming Hou

Healthcare and Rehabilitation ›› 2026, Vol. 2 ›› Issue (1) : 100068 -100068.

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Healthcare and Rehabilitation ›› 2026, Vol. 2 ›› Issue (1) :100068 -100068. DOI: 10.1016/j.hcr.2026.100068
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Neuromodulation therapy for phantom limb pain: A review of the current status and future perspectives
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Abstract

Background: Phantom Limb Pain (PLP) is a common and intractable neuropathic pain condition that occurs following limb amputation, significantly impacting patients’ quality of life. The prevalence of PLP ranges from 45% to 85%. Traditional pharmacological treatments have limited efficacy and are frequently accompanied by significant side effects.
Objective: This review aims to provide a comprehensive overview of the multi-level pathophysiological mechanisms underlying PLP, synthesize clinical evidence on both invasive and non-invasive neuromodulation techniques, analyze differences in therapeutic outcomes and targets, and offer insights for clinical practice and future research.
Methods: This is a narrative review that integrates the existing evidence and current clinical applications of various treatment approaches for PLP.
Results: The mechanisms of PLP involve peripheral nerve ectopic discharges, cortical reorganization, and the interaction of various psychological factors. The short-term efficacy of invasive treatments, such as spinal cord stimulation (SCS) and dorsal root ganglion (DRG) stimulation, ranges from 14% to 80%. DRG stimulation shows more promise in terms of long-term stability. Non-invasive techniques, including repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS), when combined with mirror therapy, can enhance therapeutic outcomes. Emerging technologies, such as brain-computer interfaces (BCI) and temporally interfering stimulation (TIS), remain in the preclinical phase of investigation.
Conclusion: Neuromodulation techniques offer a multi-dimensional treatment strategy for PLP, with potential improvements through parameter standardization, individualized treatment optimization, validation in multi-center randomized controlled trials, and an overall enhancement of clinical efficacy.

Keywords

Phantom limb pain / Chronic pain / Stimulation / Neuromodulation technology / Invasive stimulation / Non-invasive stimulation

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Xiaoyan Duan, Lijuan Xie, Peng Tang, Zhou Feng, Han Chen, Rubing Yan, Jingming Hou. Neuromodulation therapy for phantom limb pain: A review of the current status and future perspectives. Healthcare and Rehabilitation, 2026, 2(1): 100068-100068 DOI:10.1016/j.hcr.2026.100068

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CRediT authorship contribution statement

Jingming Hou: Writing – review & editing, Supervision, Project administration, Methodology, Funding acquisition, Conceptualization. Rubing Yan: Resources, Project administration. Han Chen: Project administration, Methodology. Zhou Feng: Visualization, Software, Methodology. Peng Tang: Writing – review & editing. Lijuan Xie: Writing – review & editing. Xiaoyan Duan: Writing – review & editing, Writing – original draft, Visualization, Software, Investigation, Data curation. All the authors have read and approved the final version of this manuscript.

Ethics approval

Not applicable.

Funding information

This work was supported by the National Natural Science Foundation of China (Grant No. 82301569; Grant No. 82472607), Chongqing Young and Middle Aged Medical High-end Talent Project (grant number YXGD202460), and Chongqing Medical Youth Outstanding Talent Project (grant number YXQN2022417).

Data Availability

Not applicable.

Declaration of Competing Interest

Jingming Hou is an editorial board member of Healthcare and Rehabilitation but has not been involved in the journal’s review or decisions related to this manuscript. The authors declare that they have no known competing financial interests or personal relationships related to this work.

Declaration of Generative AI and AI-assisted technologies in the writing process

During the preparation of this study, the authors used ChatGPT-4 and DeepSeek (latest version) to optimize the language expression and improve the readability of the manuscript. All content generated by these AI tools was carefully reviewed, revised, and verified by the authors. The authors take full responsibility for the scientific content, accuracy, and integrity of the final published article.

Acknowledgments

The authors would like to express our gratitude for the drawing materials provided by BioRender.

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