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Related Experiment Video

Updated: May 2, 2026

Author Spotlight: Insight Into Innovations in Spinal Cord Injury Research
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Multimodal mechanical characterization pipeline for spinal cord tissue.

Oskar Neumann1, Rahul Gopalan Ramachandran2, Harsh Vardhan Surana1

  • 1Institute of Continuum Mechanics and Biomechanics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Egerlandstraße 5, Erlangen, 91058, Germany.

Acta Biomaterialia
|April 30, 2026
PubMed
Summary

This study introduces a new pipeline to accurately measure spinal cord tissue mechanics. Integrating indentation and large-strain tests provides reliable material parameters for understanding spinal cord injury and disease.

Keywords:
Finite hyperelasticityHertz modelMultimodal experimentsNeo-hookean modelOgden modelParameter identificationSpinal cord

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Area of Science:

  • Biomechanics
  • Biomaterials Engineering
  • Neuroscience

Background:

  • Characterizing spinal cord tissue mechanics is challenging due to its complex structure.
  • Accurate mechanical data are crucial for modeling spinal cord injury, disease, and regeneration.
  • Discrepancies exist between mechanical properties measured by different testing methods.

Purpose of the Study:

  • To develop a multimodal pipeline for robust characterization of spinal cord tissue mechanics.
  • To integrate mesoscale and macroscale testing data for improved material parameter identification.
  • To provide reliable mechanical data for spinal cord injury and disease modeling.

Main Methods:

  • Developed a pipeline combining mesoscale spherical indentation and macroscale compression-tension tests.
  • Applied testing sequentially on porcine spinal cord samples along the cranio-caudal axis.
  • Utilized nonlinear continuum mechanics modeling with Ogden, Hertzian, and neo-Hookean constitutive laws, alongside finite element simulations.

Main Results:

  • Ogden models accurately captured the nonlinear material response of spinal cord tissue.
  • Mesoscale indentation shear moduli aligned with macroscale large-strain test results.
  • The multimodal approach successfully identified nonlinear material parameters for gray and white matter, considering tissue-specific properties and large-strain effects.

Conclusions:

  • The multimodal characterization pipeline provides robust and representative material parameters for spinal cord tissue.
  • Simultaneous integration of indentation and large-strain data enhances accuracy.
  • This approach has significant implications for developing advanced treatment strategies for spinal cord injuries and diseases.