Objective Measurement of Outcomes inFacial Palsy

Volk, Gerd Fabian; Thielker, Jovanna; Mothes, Oliver; Guntinas‐Lichius, Orlando

doi:10.1016/b978-0-323-67331-0.00008-7

Cited by 2 publications

(3 citation statements)

References 69 publications

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“…All participants were examined, standardized via the Sunnybrook Facial Grading System [33,34], to rate their face (rest position, voluntary movements, and facial synkinesis) by a speech and language therapist. In future research, grading could be improved by machine learning approaches using facial landmarks [59][60][61][62] to be observer-independent [63]. An automatic assessment is of scientific value, because facial palsy and facial synkinesis as well as distinction between patients and healthy controls will become more standardised, objectified and thus more valid, reliable, and comparable within our study, and with other studies [60][61][62]64] Up until now, high quality evidence in speech and language therapy for patients with facial palsy is rare but needed [65].…”

Section: Limitations Of the Studymentioning

confidence: 99%

Facial Emotion Recognition in Patients with Post-Paralytic Facial Synkinesis—A Present Competence

et al. 2022

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Facial palsy is a movement disorder with impacts on verbal and nonverbal communication. The aim of this study is to investigate the effects of post-paralytic facial synkinesis on facial emotion recognition. In a prospective cross-sectional study, we compared facial emotion recognition between n = 30 patients with post-paralytic facial synkinesis (mean disease time: 1581 ± 1237 days) and n = 30 healthy controls matched in sex, age, and education level. Facial emotion recognition was measured by the Myfacetraining Program. As an intra-individual control condition, auditory emotion recognition was assessed via Montreal Affective Voices. Moreover, self-assessed emotion recognition was studied with questionnaires. In facial as well as auditory emotion recognition, on average, there was no significant difference between patients and healthy controls. The outcomes of the measurements as well as the self-reports were comparable between patients and healthy controls. In contrast to previous studies in patients with peripheral and central facial palsy, these results indicate unimpaired ability for facial emotion recognition. Only in single patients with pronounced facial asymmetry and severe facial synkinesis was an impaired facial and auditory emotion recognition detected. Further studies should compare emotion recognition in patients with pronounced facial asymmetry in acute and chronic peripheral paralysis and central and peripheral facial palsy.

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Section: Limitations Of the Studymentioning

confidence: 99%

Facial Emotion Recognition in Patients with Post-Paralytic Facial Synkinesis—A Present Competence

et al. 2022

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“…1 Therefore, knowing the kinematic, morphometric, and electrophysiologic parameters of a smile in a healthy individual provides valuable insights into the functional and aesthetic aspects of a smile. 2 The grading methods used in the clinical diagnosis and follow-up of facial muscle functions contain parameters that evaluate the change in morphology and kinematics qualitatively or semi-quantitatively. 3 Therefore, the search for quantitative methods that will be accepted internationally is a current issue that has been studied extensively.…”

Section: Introductionmentioning

confidence: 99%

“…It conveys positive emotions, facilitates social bonding, influences perceptions and first impressions, enhances nonverbal communication, and contributes to psychological well‐being 1 . Therefore, knowing the kinematic, morphometric, and electrophysiologic parameters of a smile in a healthy individual provides valuable insights into the functional and aesthetic aspects of a smile 2 …”

Section: Introductionmentioning

confidence: 99%

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

Özsoy,

Yıldırım

et al. 2024

The Laryngoscope

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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

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Objective Measurement of Outcomes inFacial Palsy

Cited by 2 publications

References 69 publications

Facial Emotion Recognition in Patients with Post-Paralytic Facial Synkinesis—A Present Competence

Facial Emotion Recognition in Patients with Post-Paralytic Facial Synkinesis—A Present Competence

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

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