Evidence map›Paper›PMID 41526564›Full record

ArticleAnnals of biomedical engineering2026

An Improved Head-Neck Musculoskeletal Model Incorporating Cervical Spine Rhythms Measured by Dynamic Radiography In Vivo.

Yu Zhou, Curran Reddy, Wei Yin, Xudong Zhang

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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Yu ZhouDepartment of Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX, 77843-3131, USA.
Curran ReddyDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, USA.
Wei YinDepartment of Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX, 77843-3131, USA.
Xudong ZhangDepartment of Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX, 77843-3131, USA. xudongzhang@tamu.edu.ORCID http://orcid.org/0000-0002-7976-2045

Funding

NIOSH CDC HHS R01OH010587
6 · The paper itself

Abstract

purposeMusculoskeletal models of the head and neck have employed kinematic relationships as constraints to effectively resolve the redundancy in specifying the cervical intervertebral joint movement. However, the veracity of the underlying skeletal kinematics is questionable as those relationships obtained from in vitro cadaveric studies remain untested against cervical spine kinematics in vivo. In this work, we introduce a new head-neck model that incorporates an updated set of relationships, characterizing cervical spine rhythms, derived from dynamic stereo-radiography (DSX) measurement in vivo.

methodsData of fourteen subjects performing neck full-range flexion-extension movements measured by a DSX and a surface-based motion capture system were used for model development and evaluation. For each subject, a new model was constructed using OpenSim, driven by surface marker motion data but with the rhythmic relationships based on DSX data; a model was also constructed using the latest approach in OpenSim (the HYOID model) as the benchmark.

resultsCervical spine rhythms, quantified as relationships of the flexion-extension rotations between the C6 and C7 and each of the superior intervertebral joints (C1-C2 to C5-C6), were found to be segment- and position-variant. The new model compared favorably with the latest OpenSim head-neck model: the root-mean-square-error (RMSE) against DSX measurement improved from 5.1° to 2.2° overall when averaged across six joints, and most substantially at the C1-C2 joint (from 17.3° to 2.1°).

conclusionThe current study provides a clearer and quantitative understanding of the rhythmic, coordinated motion of the cervical spine and an improved head-neck musculoskeletal model for OpenSim and other modeling applications.

Indexed as

Cervical VertebraeHeadModels, BiologicalNeckAdultBiomechanical PhenomenaFemaleHumansMaleMovementRadiographyRange of Motion, ArticularCervical intervertebral joint kinematicsCervical spine rhythmsDynamic stereo-radiographyHead–neck musculoskeletal modelOpenSim

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Textmetadata
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.