Skip to main navigation Skip to search Skip to main content

Comparison of activation and selectivity in dorsal and ventral epidural spinal cord stimulation in rats: A computational modeling study

  • Dinglong Yan
  • , Zheshan Guo
  • , Haipeng Liu
  • , Xiao Wang
  • , Fengyan Liang
  • , Jing Jie
  • , Ming Yin
    • Hainan University

    Research output: Contribution to journalArticlepeer-review

    39 Downloads (Pure)

    Abstract

    Epidural electrical stimulation (EES) enhances motor function recovery after spinal cord injury (SCI) by modulating distinct spinal pathways through dorsal epidural electrical stimulation (dEES) and ventral epidural electrical stimulation (vEES). The characteristics between dEES and vEES remain insufficiently explored. To address this, a rat spinal computational model was developed, integrating finite element analysis and nerve fiber modeling to simulate the effects of dEES and vEES. The potential distribution generated by EES was coupled with Aα-sensory and α-motor fibers to compute thresholds, saturation amplitudes, and selectivity indices across stimulation modes. The analysis showed that dEES exhibited lower thresholds and saturation amplitudes, while vEES achieved higher muscle selectivity. Multipolar stimulation dispersed currents across multiple spinal segments, reducing target muscle selectivity and increasing thresholds and saturation amplitudes compared to monopolar stimulation. Although stimulation frequency had little effect on selectivity in both dEES and vEES, higher frequencies in dEES reduced the stimulation intensity required to achieve maximum selectivity. These findings reveal key differences in activation characteristics between dEES and vEES and highlight their potential roles in neuromodulation. Most importantly, we provided a fiber-level explanation for these differences in rats and supplemented our findings with a comparative analysis of previous studies. These insights lay a foundation for future rodent experiments aimed at optimizing epidural stimulation strategies.
    Original languageEnglish
    Article number35711
    Number of pages11
    JournalScientific Reports
    Volume15
    Issue number1
    DOIs
    Publication statusPublished - 13 Oct 2025

    Bibliographical note

    © The Author(s) 2025.
    This is an Open Access article distributed under the terms of the Creative
    Commons Attribution License (http://creativecommons.org/licenses/by/4.0/)
    Under this licence, users are permitted to share, download, copy, and redistribute the material in any medium or format, and—where applicable—adapt or build upon the work, provided they comply with the conditions of the stated licence

    Funding

    This research was funded by the STI 2030\u2014Major Projects (Grant No. 2022ZD0208600, 2022ZD0208602), the National Natural Science Foundation of China (No. 32160204, 62466015, and 32360196), the Innovational Fund for Scientific and Technological Personnel of Hainan Province (Grant No. KJRC 2023L01), and the South China Sea Rising Star Project of Hainan Province (Grant No. 202309001).

    FundersFunder number
    National Natural Science Foundation of China62466015, 32160204, 32360196
    Innovational Fund for Scientific and Technological Personnel of Hainan ProvinceKJRC 2023L01
    South China Sea Rising Star Project of Hainan Province202309001

      Keywords

      • Axon model
      • Epidural electrical stimulation
      • Finite element model
      • Selectivity
      • Spinal cord injury
      • Spinal cord stimulation

      ASJC Scopus subject areas

      • General

      Fingerprint

      Dive into the research topics of 'Comparison of activation and selectivity in dorsal and ventral epidural spinal cord stimulation in rats: A computational modeling study'. Together they form a unique fingerprint.

      Cite this