Introduction: Psychogenic dysphonia is a functional disorder with variable clinical manifestations.
Objective: To assess the clinical and vocal characteristics of patients with psychogenic dysphonia in a case series.
Methods: The study included 28 adult patients with psychogenic dysphonia, evaluated at a University hospital in the last ten years. Assessed variables included gender, age, occupation, vocal symptoms, vocal characteristics, and videolaryngostroboscopic findings.
Results: 28 patients (26 women and 2 men) were assessed. Their occupations included: housekeeper (n=17), teacher (n=4), salesclerk (n=4), nurse (n=1), retired (n=1), and psychologist (n=1). Sudden symptom onset was reported by 16 patients and progressive symptom onset was reported by 12; intermittent evolution was reported by 15; symptom duration longer than three months was reported by 21 patients. Videolaryngostroboscopy showed only functional disorders; no patient had structural lesions or changes in vocal fold mobility. Conversion aphonia, skeletal muscle tension, and intermittent voicing were the most frequent vocal emission manifestation forms.
Conclusions: In this case series of patients with psychogenic dysphonia, the most frequent form of clinical presentation was conversion aphonia, followed by musculoskeletal tension and intermittent voicing. The clinical and vocal aspects of 28 patients with psychogenic dysphonia, as well as the particularities of each case, are discussed.
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http://dx.doi.org/10.1016/j.bjorl.2014.09.002 | DOI Listing |
J Neural Transm (Vienna)
December 2024
IAB - Interdisciplinary Working Group for Movement Disorders, Hamburg, Germany.
Spasmodic dysphonia (SD) is now generally considered to be a task-specific focal dystonia. For the first time, we wanted to explore the relationship between SD and dystonia from a combined neurological and phoniatric perspective. For this, we studied 115 patients with non-psychogenic SD by a combined neurological and phoniatric evaluation.
View Article and Find Full Text PDFPsychiatr Danub
August 2024
Adiyaman University, Faculty of Medicine, Department of Psychiatry, Adiyaman, Turkey.
Comput Biol Med
November 2024
Department of Mathematics and Physics, University of Campania "Luigi Vanvitelli", Viale Lincoln 5, Caserta, 81100, Italy.
Background: Voice analysis has significant potential in aiding healthcare professionals with detecting, diagnosing, and personalising treatment. It represents an objective and non-intrusive tool for supporting the detection and monitoring of specific pathologies. By calculating various acoustic features, voice analysis extracts valuable information to assess voice quality.
View Article and Find Full Text PDFInd Psychiatry J
February 2024
Department of Psychiatry, Armed Forces Medical College, Pune, Maharashtra, India.
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