Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 22 min ago
PreprintCC BY-NC-NDbioRxiv

Quantitative Gait Analysis in a Sheep Model of In-Utero Spina Bifida Repair

  1. 1Division of Fetal Intervention, Department of Obstetrics, Gynecology & Reproductive Sciences, McGovern Medical School, UTHealth Houston, Houston, TX 77030

Abstract

Objective: To evaluate quantitative gait analysis in a sheep model (Ovis aries) of in-utero spina bifida repair. Method: Using a 3D marker-based motion capture system, we quantified spatiotemporal gait parameters and hindlimb joint angles in a sheep model of in-utero spina bifida repair and normal controls. A linear support vector machine classifier, trained and tested on subject-disjoint partitions with individual gait cycles as the unit of analysis, evaluated the relationship between hindlimb joint angles and clinician-assigned Texas Spinal Cord Injury Scale scores. Linear mixed-effects models compared spatiotemporal parameters, hoof height, and hip drop across 3- to 6-month evaluations and between groups. Results: In treated (n=14) and control (n=3) lambs, front- and hindlimb gait speed differed by timepoint (both p=0.025). Across 1,632 left and 1,661 right hindlimb gait cycles, held-out classification accuracy was 85.9% and 88.6% (Cohen's {kappa}=0.78 and 0.84) for left and right hindlimbs, respectively, against majority-class proportions of 76.5% and 75%. Left hindlimb hip drop differed between treated lambs and controls ({Delta}=0.8 cm, p=0.027). Between-group contrasts were considered exploratory given the small control group. Conclusion: Quantitative gait analysis was feasible in an in-utero spina bifida repair model. Hindlimb kinematic profiles classified clinical ambulation scores above the majority-class baseline.

Related

  1. Proceedings of the 2025 Society for Research into Hydrocephalus and Spina Bifida Annual Scientific Meeting: Bridging Innovation and Collaboration in Hydrocephalus and Spina Bifida
    Brain and Neuroscience AdvancesPeer-reviewedCC BYFull textNeuroscienceGeneral medicineDOAJ
  2. In Utero Alcohol Exposure Reprograms Mammary Gland Development and Stem/Progenitor Cell Activity in a Non-Tumorigenic Mouse Model
    Z. Ma, A. B. Parris, E. Espinoza +1
    bioRxivPreprintAll rights reservedFull textDevelopmental biologybioRxiv
  3. In Utero MRI of Radial Glial Fibers Highlights Their Role in Modulating Fetal Cortical Folding
    R. Chen, X. Xu, Q. Zhu +10
    bioRxivPreprintAll rights reservedFull textNeurosciencebioRxiv
  4. Consequences of In Utero Caffeine Exposure on Respiratory Output in Normoxic and Hypoxic Conditions and Related Changes of Fos Expression: A Study on Brainstem-Spinal Cord Preparations Isolated From Newborn Rats
    Laurence Bodineau, Florence Cayetanot, Fadoua Sådani-Makki +5
    Pediatric ResearchPeer-reviewedLicence not statedGeneral biologyHAL
  5. In utero barcoding of mouse mesoderm reveals the clonal architecture of organ mesenchyme
    J. He, J. Lorentz, A. A. Corbat +19
    bioRxivPreprintCC BY-NCFull textDevelopmental biologybioRxiv
BibTeX
@misc{chou2026quantitative,
  title = {{Quantitative Gait Analysis in a Sheep Model of In-Utero Spina Bifida Repair}},
  author = {T.-Y. Chou and S. Pandiri and P. Zandiyeh and L. A. Figueroa Fernandez and D. Lai and R. Papanna and L. K. Mann},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.16.752110},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.16.752110v1},
  note = {CC BY-NC-ND},
}
RIS
TY  - UNPB
TI  - Quantitative Gait Analysis in a Sheep Model of In-Utero Spina Bifida Repair
AU  - T.-Y. Chou
AU  - S. Pandiri
AU  - P. Zandiyeh
AU  - L. A. Figueroa Fernandez
AU  - D. Lai
AU  - R. Papanna
AU  - L. K. Mann
PY  - 2026
DA  - 2026/09/16
PB  - bioRxiv
DO  - 10.64898/2026.09.16.752110
UR  - https://www.biorxiv.org/content/10.64898/2026.09.16.752110v1
AB  - Objective: To evaluate quantitative gait analysis in a sheep model (Ovis aries) of in-utero spina bifida repair. Method: Using a 3D marker-based motion capture system, we quantified spatiotemporal gait parameters and hindlimb joint angles in a sheep model of in-utero spina bifida repair and normal controls. A linear support vector machine classifier, trained and tested on subject-disjoint partitions with individual gait cycles as the unit of analysis, evaluated the relationship between hindlimb joint angles and clinician-assigned Texas Spinal Cord Injury Scale scores. Linear mixed-effects models compared spatiotemporal parameters, hoof height, and hip drop across 3- to 6-month evaluations and between groups. Results: In treated (n=14) and control (n=3) lambs, front- and hindlimb gait speed differed by timepoint (both p=0.025). Across 1,632 left and 1,661 right hindlimb gait cycles, held-out classification accuracy was 85.9% and 88.6% (Cohen's {kappa}=0.78 and 0.84) for left and right hindlimbs, respectively, against majority-class proportions of 76.5% and 75%. Left hindlimb hip drop differed between treated lambs and controls ({Delta}=0.8 cm, p=0.027). Between-group contrasts were considered exploratory given the small control group. Conclusion: Quantitative gait analysis was feasible in an in-utero spina bifida repair model. Hindlimb kinematic profiles classified clinical ambulation scores above the majority-class baseline.
ER  -