Literature DB >> 23660304

Thoracolumbar spinal ligaments exhibit negative and transverse pre-strain.

Daniel J Robertson1, Gregory A Von Forell, Jeremy Alsup, Anton E Bowden.   

Abstract

The present work represents the first reported bi-axial spinal ligament pre-strain data for the thoracic and lumbar spine. Ligament pre-strain (in-situ strain) is known to significantly alter joint biomechanics. However, there is currently a lack of comprehensive data with regards to spinal ligament pre-strain. The current work determined the pre-strain of 71 spinal ligaments (30 anterior longitudinal ligaments, 27 supraspinous ligaments and 14 interspinous ligaments). The interspinous ligament and the anterior longitudinal ligament exhibited bi-axial pre-strain distributions, demonstrating they are not uniaxial structures. The supraspinous ligament frequently exhibited large amounts of negative pre-strain or laxity suggesting it makes no mechanical contribution to spinal stability near the neutral posture. Upon implementing multi-axial pre-strain results into a finite element model of the lumbar spine, large differences in spinal biomechanics were observed. These results demonstrate the necessity of accounting for ligament pre-strain in biomechanical models. In addition, the authors present a unique experimental method for obtaining ligament pre-strain that presents a number of advantages when compared to standard techniques.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2013        PMID: 23660304     DOI: 10.1016/j.jmbbm.2013.04.004

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  5 in total

1.  Twenty years of 'insanity' in diagnosing underlying clinically relevant cervical dysfunction using traditional MRI.

Authors:  Anton E Bowden
Journal:  J Spine Surg       Date:  2018-09

2.  The strain distribution in the lumbar anterior longitudinal ligament is affected by the loading condition and bony features: An in vitro full-field analysis.

Authors:  Marco Palanca; Maria Luisa Ruspi; Luca Cristofolini; Christian Liebsch; Tomaso Villa; Marco Brayda-Bruno; Fabio Galbusera; Hans-Joachim Wilke; Luigi La Barbera
Journal:  PLoS One       Date:  2020-01-14       Impact factor: 3.240

3.  Validation of a Patient-Specific Musculoskeletal Model for Lumbar Load Estimation Generated by an Automated Pipeline From Whole Body CT.

Authors:  Tanja Lerchl; Malek El Husseini; Amirhossein Bayat; Anjany Sekuboyina; Luis Hermann; Kati Nispel; Thomas Baum; Maximilian T Löffler; Veit Senner; Jan S Kirschke
Journal:  Front Bioeng Biotechnol       Date:  2022-07-11

4.  Lumbar spinal ligament characteristics extracted from stepwise reduction experiments allow for preciser modeling than literature data.

Authors:  Nicolas Damm; Robert Rockenfeller; Karin Gruber
Journal:  Biomech Model Mechanobiol       Date:  2019-12-02

5.  Digital Image Correlation (DIC) Assessment of the Non-Linear Response of the Anterior Longitudinal Ligament of the Spine during Flexion and Extension.

Authors:  Maria Luisa Ruspi; Marco Palanca; Luca Cristofolini; Christian Liebsch; Tomaso Villa; Marco Brayda-Bruno; Fabio Galbusera; Hans-Joachim Wilke; Luigi La Barbera
Journal:  Materials (Basel)       Date:  2020-01-14       Impact factor: 3.623

  5 in total

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