Neural Recruitment During Conventional, Burst, and 10-kHz Spinal Cord Stimulation for Pain
| Autor: | Evan Rogers, Hans J. Zander, Scott F. Lempka |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
medicine.medical_treatment
Stimulation Spinal cord stimulation Article Neural recruitment medicine Humans Pain Management Axon Neurostimulation Spinal Cord Stimulation business.industry Chronic pain Multiple modes medicine.disease Axons Neuromodulation (medicine) Anesthesiology and Pain Medicine medicine.anatomical_structure Spinal Cord nervous system Neurology Neurology (clinical) Chronic Pain business Neuroscience |
| Zdroj: | J Pain |
| ISSN: | 1526-5900 |
| DOI: | 10.1016/j.jpain.2021.09.005 |
| Popis: | Spinal cord stimulation (SCS) is a popular neurostimulation therapy for severe chronic pain. To improve stimulation efficacy, multiple modes are now used clinically, including conventional, burst, and 10-kHz SCS. Clinical observations have produced speculation that these modes target different neural elements and/or work via distinct mechanisms of action. However, in humans, these hypotheses cannot be conclusively answered via experimental methods. Therefore, we utilized computational modeling to assess the response of primary afferents, interneurons, and projection neurons to conventional, burst, and 10-kHz SCS. We found that local cell thresholds were always higher than afferent thresholds, arguing against direct recruitment of these local cells. Furthermore, although we observed relative threshold differences between conventional, burst, and 10-kHz SCS, the recruitment order was the same. Finally, contrary to previous reports, axon collateralization produced complex changes in activation thresholds of primary afferents. These results motivate future work to contextualize clinical observations across SCS paradigms. PERSPECTIVE: This article presents the first computational modeling study to investigate neural recruitment during conventional, burst, and 10-kilohertz spinal cord stimulation for chronic pain within a single modeling framework. The results provide insight into these treatments' unknown mechanisms of action and offer context to interpreting clinical observations. |
| Databáze: | OpenAIRE |
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