Correlation of 3D Morphometric Changes, Kinematics, and Muscle Activity During Smile

Author:

Özsoy Özlem1,Özsoy Umut2ORCID,Yıldırım Yılmaz2,Alkan Ege2,Yılmaz Beste2,Güllü Selin Esma3

Affiliation:

1. Faculty of Medicine, Department of Physiology Akdeniz University Antalya Turkey

2. Faculty of Medicine, Department of Anatomy Akdeniz University Antalya Turkey

3. Faculty of Medicine Akdeniz University Antalya Turkey

Abstract

ObjectiveKnowing the morphological, kinematic, and electrophysiological parameters of the smile in healthy individuals may contribute to evaluating, planning, and monitoring the smile reanimation. This study aimed to determine the correlation between 3D morphometric changes, movement kinematics, and muscle activity in the facial soft tissue of healthy individuals.MethodIn this cohort study, 20 volunteers were selected from healthy individuals with no facial disorders. During smiling, three‐dimensional face scanning, facial motion capture, and surface electromyography (sEMG) were performed. The average displacement, velocity, and acceleration during facial movements were measured. The mean change in 3D surface morphometry and activation of the zygomaticus major were determined.ResultsThe volunteers, comprising 10 males and 10 females, had a mean age of 24 ± 10 years; for female, mean age was 23 ± 5 years and for men 26 ± 13 years. Significant correlations were found between kinematic and morphometric data (r = 0.51, p < 0.001), sEMG and morphometric (r = 0.50, p < 0.001) data, and sEMG and kinematic data (r = 0.49, p < 0.002). The maximum acceleration occurred during approximately 65% of the muscle activation time and 64% of the peak muscle activation value. Additionally, the maximum velocity was reached at around 73% of the muscle activation time and 67% of the peak muscle activation value. Furthermore, the maximum displacement values were observed at approximately 88% of the muscle activation time and 76% of the peak muscle activation value.ConclusionThe findings may provide insights into the smile's functional parameters, contribute to understanding facial muscle‐related disorders, and aid in improving the diagnosis and treatment of the smile.Level of EvidenceN/A Laryngoscope, 2024

Funder

Akdeniz Üniversitesi

Publisher

Wiley

Subject

Otorhinolaryngology

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