Capturing the Intraspeaker Heterogeneity of Vocal Hyperfunction Using Spatiotemporal Indices of Relative Fundamental Frequency.
Purpose: Hyperfunctional voice disorders are highly prevalent yet difficult to characterize objectively. Relative fundamental frequency (RFF) has the potential to characterize these disorders but faces limited clinical use due to intersubject variability in mean RFF values. This study examined wheth...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 68; no. 9; pp. 4220 - 4236 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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American Speech-Language-Hearing Association
Sep2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=187881680&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 187881680 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Sep2025 vid: 68 iid: 9 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 187881680 10.1044/2025_JSLHR-25-00138 ppf: 4220 ppct: 16 formats: fmt: @attributes: type: P size: 1.1MB tig: atl: Capturing the Intraspeaker Heterogeneity of Vocal Hyperfunction Using Spatiotemporal Indices of Relative Fundamental Frequency. aug: au: Vojtech, Jenny Toles, Laura E. Buckley, Daniel P. Steppa, Cara E. affil: Department of Speech, Language, & Hearing Sciences, Boston University, MA Department of Otolaryngology--Head and Neck Surgery, The University of Texas Southwestern Medical Center, Dallas Department of Otolaryngology--Head and Neck Surgery, Boston University School of Medicine, MA Department of Biomedical Engineering, Boston University, MA su: Cross-sectional method Analysis of variance Predictive tests Receiver operating characteristic curves Data analysis Laryngeal muscles Research funding Voice disorders Logistic regression analysis Signal processing Descriptive statistics Multivariate analysis Physiological aspects of speech Speech evaluation Statistics Human voice Acoustic stimulation Data analysis software Comparative studies Nonparametric statistics Sensitivity & specificity (Statistics) sug: subj: Cross-sectional method Analysis of variance Predictive tests Receiver operating characteristic curves Data analysis Laryngeal muscles Research funding Voice disorders Logistic regression analysis Signal processing Descriptive statistics Multivariate analysis Physiological aspects of speech Speech evaluation Statistics Human voice Acoustic stimulation Data analysis software Comparative studies Nonparametric statistics Sensitivity & specificity (Statistics) ab: Purpose: Hyperfunctional voice disorders are highly prevalent yet difficult to characterize objectively. Relative fundamental frequency (RFF) has the potential to characterize these disorders but faces limited clinical use due to intersubject variability in mean RFF values. This study examined whether RFF variability offers insights beyond traditional mean measures. Method: Speech samples were collected from 132 adults: individuals with phonotraumatic vocal hyperfunction (PVH; n = 44), nonphonotraumatic vocal hyperfunction (NPVH; n = 44), and typical voices (controls; n = 44). Two measures of RFF variability--standard deviation and spatiotemporal index (STI)--were calculated along with mean RFF values. While standard deviation captures variability in magnitude, STI incorporates variability in time and magnitude. Permutational analyses of variance were conducted to assess relationships between group (PVH/NPVH/control) and the mean, standard deviation, and STI measures. Significant measures were entered along with demographic parameters into hierarchical multinomial logistic regression models using a training set (n = 102). Final model equations were then applied to an independent test set (n = 30) to predict group membership. Results: Mean and STI measures showed significant group differences, whereas standard deviation did not. Both mean and STI measures improved model performance after adjusting for demographics. Receiver operating characteristic analysis on the test set yielded acceptable classification (area under curve = 0.78) for group membership. Conclusions: Variability in RFF, especially when considering both time and magnitude, captures subtle features of vocal hyperfunction that may be overlooked by traditional mean measures. These findings underscore the clinical value of advanced RFF variability metrics in characterizing vocal hyperfunction. Supplemental Material: https://doi.org/10.23641/asha.29903054 pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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