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However, quantitative physiological metrics to study ELM movement patterns for the characterization of pMTD diagnosis and monitoring of treatment progress are lacking. The objectives of this study were to validate motion capture (MoCap) technology to study ELM kinematics, determine whether MoCap could distinguish ELM tension and hyperfunction between individuals with and without pMTD, and investigate relationships between common clinical voice metrics and ELM kinematics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Thirty subjects (15 with pMTD and 15 controls) were recruited for the study. Sixteen markers were placed on different anatomical landmarks on the chin and anterior neck. Movements across these regions were tracked during four voice and speech tasks using two three\u2010dimensional cameras. Movement displacement and variability were determined based on 16 key\u2010points and 53 edges.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Intraclass correlation coefficients demonstrated high intra\u2010 and inter\u2010rater reliability (<jats:italic>p<\/jats:italic>'s\u2009&lt;\u20090.001). Other than greater movement displacements around the thyrohyoid space during longer phrasing (reading passage, 30\u2010s diadochokinetics) and more movement variability in patients with pMTD, kinematic patterns between groups were similar across the 53 edges for the four voice and speech tasks. There were also no significant correlations between ELM kinematics and standard voice metrics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Results demonstrate the feasibility and reliability of MoCap for the study of ELM kinematics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>3 <jats:italic>Laryngoscope<\/jats:italic>, 133:3472\u20133481, 2023<\/jats:p><\/jats:sec>","DOI":"10.1002\/lary.30829","type":"journal-article","created":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T10:24:20Z","timestamp":1686911060000},"page":"3472-3481","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Use of Motion Capture Technology to Study Extrinsic Laryngeal Muscle Tension and Hyperfunction"],"prefix":"10.1002","volume":"133","author":[{"given":"Steven","family":"Hogue","sequence":"first","affiliation":[{"name":"Department of Computer Science, Erik Jonsson 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