• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
Friedrich-Alexander-Universität Professur für Digital Health PDH
  • FAUTo the central FAU website
Suche öffnen
  • Campo
  • StudOn
  • Jobs
  • Map
  • Help
Friedrich-Alexander-Universität Professur für Digital Health PDH
Navigation Navigation close
  • Research
    • Digital Twins
    • Neural Mechanisms
    • Neural Engineering
    • Clinical Decision Support
    Portal Research
  • Teaching
    • Courses
    • Student projects
    Portal Teaching
  • About us
    • Team
    • Open positions
    • Publications
    Portal About us
  • Press
  1. Home
  2. Research
  3. Neural Engineering
  4. Epidural Spinal Cord Stimulation
  5. Lumbosacral Epidural Spinal Cord Stimulation

Lumbosacral Epidural Spinal Cord Stimulation

In page navigation: Research
  • Digital Twins
  • Neural Mechanisms
  • Neural Engineering
    • Transcutaneous Spinal Cord Stimulation
    • Epidural Spinal Cord Stimulation
      • Lumbosacral Epidural Spinal Cord Stimulation
    • Sacral Neuromodulation
  • Clinical Decision Support

Lumbosacral Epidural Spinal Cord Stimulation

Vincent Gemar

Vincent Gemar, M. Sc.

Department of Medical Informatics, Biometry and Epidemiology
Professur für Digital Health

Room: Room 1. OG, 376
Henkestr. 91, Geb. 7
91052 Erlangen
  • Phone number: +49 9131 85-23604
  • Email: vincent.gemvin.gemar@fau.de

Spinal cord stimulation (SCS) applied over the epidural space of the lumbosacral spinal cord facilitates lower limb motor function after paralysis. Several technologies have been proposed. Various technologies have been developed, with targeted eSCS achieving notable outcomes by selectively stimulating afferent fibers in specific dorsal roots linked to individual motor functions. However, targeting specific dorsal roots remains challenging due to significant inter-individual variability in anatomical parameters across diverse patient populations.

We apply our multi-scale digital twin and neurostimulation optimization methods to:

  1. Optimize eSCS therapy design and clinical decision-making to enhance treatment efficacy and patient outcomes.
  2. Validate neural axon models against electrophysiological data to deepen understanding of the microanatomy involved in eSCS.
  3. Explore electrode positioning and its impact on the activation of different neural structures, such as somatosensory fibers in dorsal roots, ventral root fibers, and fibers in the dorsal columns.
  4. Assess current neurostimulation solutions to identify the most suitable approaches for specific clinical scenarios.

First Published on October 7, 2024
Last Updated on October 7, 2024 by Andreas Rowald
Friedrich-Alexander-Universität Erlangen-Nürnberg
Prof. für Digital Health

Henkestraße 91, Haus 7, 1. OG
91052 Erlangen
Germany
  • Imprint
  • Privacy
  • Accessibility
  • BlueSky
  • Facebook
  • RSS Feed
  • Twitter
  • Xing
  • YouTube
Up