Jenny Vojtech, Laura E Toles, Daniel P Buckley, Cara E Stepp
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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 (<i>n</i> = 102). Final model equations were then applied to an independent test set (<i>n</i> = 30) to predict group membership.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p><p><strong>Supplemental material: </strong>https://doi.org/10.23641/asha.29903054.</p>","PeriodicalId":520690,"journal":{"name":"Journal of speech, language, and hearing research : JSLHR","volume":" ","pages":"4220-4235"},"PeriodicalIF":2.2000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12453020/pdf/","citationCount":"0","resultStr":"{\"title\":\"Capturing the Intraspeaker Heterogeneity of Vocal Hyperfunction Using Spatiotemporal Indices of Relative Fundamental Frequency.\",\"authors\":\"Jenny Vojtech, Laura E Toles, Daniel P Buckley, Cara E Stepp\",\"doi\":\"10.1044/2025_JSLHR-25-00138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Hyperfunctional voice disorders are highly prevalent yet difficult to characterize objectively. 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Significant measures were entered along with demographic parameters into hierarchical multinomial logistic regression models using a training set (<i>n</i> = 102). Final model equations were then applied to an independent test set (<i>n</i> = 30) to predict group membership.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>Variability in RFF, especially when considering both time and magnitude, captures subtle features of vocal hyperfunction that may be overlooked by traditional mean measures. 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引用次数: 0
摘要
目的：功能亢进的声音障碍非常普遍，但难以客观表征。相对基频（RFF）具有表征这些疾病的潜力，但由于平均RFF值的受试者间差异，临床应用受到限制。本研究考察了RFF变异性是否提供了超越传统均值测量的见解。方法：收集132例成人语音样本，分别为语音外伤性语音功能亢进（PVH, n = 44）、非语音外伤性语音功能亢进（NPVH, n = 44）和典型语音（对照组，n = 44）。RFF变异性的两个度量标准偏差和时空指数（STI）与RFF平均值一起计算。虽然标准偏差捕获的是幅度的可变性，但STI包含了时间和幅度的可变性。采用置换方差分析来评估组（PVH/NPVH/对照）与平均值、标准差和STI测量之间的关系。使用训练集（n = 102）将显著测量值与人口统计学参数一起输入分层多项式逻辑回归模型。然后将最终的模型方程应用于一个独立的测试集（n = 30）来预测群体成员。结果：平均值和STI测量显示显著组间差异，而标准差无显著组间差异。在调整人口统计数据后，平均值和STI测量都提高了模型的性能。对测试集的受试者工作特征分析得出了可接受的分组分类（曲线下面积= 0.78）。结论：RFF的变异性，特别是在考虑时间和大小时，捕捉到传统平均测量方法可能忽略的声带功能异常的微妙特征。这些发现强调了先进的RFF变异性指标在表征声带功能异常方面的临床价值。补充资料：https://doi.org/10.23641/asha.29903054。
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 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.
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