Objective Measures for Clinical Assessment of Voice Disorders
Objective Measures for Clinical Assessment of Voice Disorders
批准号:
10627965
负责人:
Cara E. Stepp
金额:
$55.12万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
未结题
起止时间:
2016-07-15 至 2026-05-31
关键词:
AcousticsAddressAdultAftercareAuditoryAuditory PerceptionBotulinum ToxinsCharacteristicsClinicalClinical TrialsClinical assessmentsConsumptionDataData SetDetectionDevelopmentDiseaseDysphoniaFrequenciesFutureGrantIndividualInjectionsLaryngeal muscle structureLarynxMeasuresMedicalModelingMuscle TensionNeurologic Voice DisorderObservational StudyOutcomeOutcome MeasureOutputPatientsPerceptionPhysiologicalProcessQuality of lifeROC CurveSamplingSensitivity and SpecificitySeveritiesSpasmSpastic DysphoniasSpeech AcousticsSpeedStatistical ModelsStroboscopySymptomsTestingTimeToxinTranslatingTreatment EfficacyValidationVoiceVoice DisordersVoice Qualitybotulinum neurotoxin injectionclinical careclinical outcome measuresclinical practicecohortdesignimprovedkinematicsnovel strategiespredictive modelingpsychosocial wellbeingvocal cord
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project Summary:
Adductor laryngeal dystonia (AdLD) is a neurological voice disorder characterized by laryngeal spasms. A
secondary symptom is increased vocal effort, likely related to compensatory increases in laryngeal tension.
Voice symptoms significantly impact psychosocial well-being and quality of life. Gold-standard management
requires repeated injections of botulinum toxin (BTX) into laryngeal muscles, each of which provides temporary
reduction in symptoms. New approaches for long-lasting treatment are under development, but can only be
translated to clinical practice if they are evaluated using robust outcomes of vocal function. Unfortunately, there
is a dearth of outcomes that are sufficiently sensitive and specific to the voice symptoms of AdLD. In fact,
clinicians often have difficulty differentiating AdLD from muscle tension dysphonia (MTD), a functional voice
disorder in which there is increased global laryngeal tension without laryngeal spasms, since the two voice
disorders can have shared auditory-perceptual characteristics. To address this gap, objective measures
reflective of both the primary and secondary voice symptoms of AdLD are needed. In our previous grant cycle,
we validated two automated estimates of laryngeal tension (a secondary symptom of AdLD): the kinematic
measure, kinematic stiffness (KS), and the acoustic measure, relative fundamental frequency (RFF). We also
developed a new, automated spectral acoustic measure designed to capture laryngeal spasms in AdLD (a
primary symptom) via detection of pitch breaks (high-passed spectral power of the pitch contour; HSPC).
Combining HSPC and RFF measures, we were able to predict the overall severity of dysphonia in AdLD with
R2=85%. While these results are promising, they must be validated in a larger sample. Thus, we propose an
observational study to construct and validate automated kinematic and acoustic measures of the primary and
secondary symptoms in AdLD. We will assess the physiological and discriminant validity, sensitivity to
change (pre/post treatment), test-retest reliability, and ability of these measures to predict voice severity in
AdLD. In Aim 1 we will compare acoustic estimates of the primary and secondary symptoms of AdLD with
kinematic measures in individuals with AdLD and individuals with MTD. Results will determine the sensitivity
and specificity of these measures and provide the physiological validation of the acoustic measures. In Aim 2
we will assess the sensitivity to change and test-retest reliability of the acoustic and kinematic measures,
validating their use as clinical outcome measures in future assessments of treatment efficacy. Finally, in Aim 3
we will construct and evaluate a statistical acoustic model of overall severity of dysphonia in a large cohort of
speakers with AdLD. Completion of these aims will result in validated, objective, and automated measures of
vocal function that are specific to AdLD, with the potential to be translated immediately to clinical practice.
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Perceptual and Acoustic Assessment of Strain Using Synthetically Modified Voice Samples.
使用合成修改的语音样本对应变进行感知和声学评估。
DOI:
10.1044/2020_jslhr-20-00294
发表时间:
2020
期刊:
Journal of speech, language, and hearing research : JSLHR
影响因子:
--
作者:
[Park,Yeonggwang, Cádiz,ManuelDíaz, Nagle,KathleenF, Stepp,CaraE]
通讯作者:
Stepp,CaraE
DOI:
10.1044/2018_jslhr-h-17-0382
发表时间:
2018
期刊:
Journal of speech, language, and hearing research : JSLHR
影响因子:
--
作者:
[Abur,Defne, Lupiani,AshlingA, Hickox,AnnE, Shinn-Cunningham,BarbaraG, Stepp,CaraE]
通讯作者:
Stepp,CaraE
DOI:
10.1044/2022_jslhr-21-00482
发表时间:
2022-06
期刊:
Journal of speech, language, and hearing research : JSLHR
影响因子:
--
作者:
[Matti D. Groll;Kimberly L. Dahl;M. D. Cádiz;Brett Welch;Lauren F. Tracy;C. Stepp]
通讯作者:
Matti D. Groll;Kimberly L. Dahl;M. D. Cádiz;Brett Welch;Lauren F. Tracy;C. Stepp
DOI:
10.1121/1.5131025
发表时间:
2019-11
期刊:
The Journal of the Acoustical Society of America
影响因子:
--
作者:
[Jennifer M. Vojtech;Roxanne K. Segina;Daniel P. Buckley;Katharine R. Kolin;Monique C Tardif;J. Noordzij;C. Stepp]
通讯作者:
Jennifer M. Vojtech;Roxanne K. Segina;Daniel P. Buckley;Katharine R. Kolin;Monique C Tardif;J. Noordzij;C. Stepp
Re-Training of Convolutional Neural Networks for Glottis Segmentation in Endoscopic High-Speed Videos.
内窥镜高速视频中声门分割的卷积神经网络的重新训练。
DOI:
10.3390/app12199791
发表时间:
2022
期刊:
Applied sciences (Basel, Switzerland)
影响因子:
--
作者:
[Döllinger,Michael, Schraut,Tobias, Henrich,LeaA, Chhetri,Dinesh, Echternach,Matthias, Johnson,AaronM, Kunduk,Melda, Maryn,Youri, Patel,RitaR, Samlan,Robin, Semmler,Marion, Schützenberger,Anne]
通讯作者:
Schützenberger,Anne
共 18 条
Effects of exogenous testosterone therapy on communication in gender diverse speakers
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批准号:10518411
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项目类别:
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资助金额:$56.17万
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财政年份:2021
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负责人:Cara E. Stepp
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依托单位:
Effects of exogenous testosterone therapy on communication in gender diverse speakers
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批准号:10384912
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项目类别:
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资助金额:$57.19万
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财政年份:2021
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负责人:Cara E. Stepp
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依托单位:
Boston Speech Motor Control Symposium
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批准号:10321569
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项目类别:
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资助金额:$0.01万
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财政年份:2019
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负责人:Cara E. Stepp
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依托单位:
Boston Speech Motor Control Symposium
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批准号:10543056
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项目类别:
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资助金额:$0.57万
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财政年份:2019
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负责人:Cara E. Stepp
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依托单位:
Sensorimotor mechanisms of vocal hyperfunction
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批准号:10639613
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项目类别:
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资助金额:$49.83万
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财政年份:2017
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负责人:Cara E. Stepp
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依托单位:
Objective Measures for Clinical Assessment of Voice Disorders
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批准号:10462480
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项目类别:
-
资助金额:$55.38万
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财政年份:2016
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负责人:Cara E. Stepp
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依托单位:
Advanced Research Training in Communication Sciences and Disorders
-
批准号:10666365
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项目类别:
-
资助金额:$54.25万
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财政年份:2016
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负责人:Cara E. Stepp
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依托单位:
Automation of Relative Fundamental Frequency Estimation
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批准号:8487636
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项目类别:
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资助金额:$15.35万
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财政年份:2013
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负责人:Cara E. Stepp
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依托单位:
Automation of Relative Fundamental Frequency Estimation
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批准号:8631081
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项目类别:
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资助金额:$16.37万
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财政年份:2013
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负责人:Cara E. Stepp
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依托单位:
Automation of Relative Fundamental Frequency Estimation
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批准号:8810666
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项目类别:
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资助金额:$16.37万
-
财政年份:2013
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负责人:Cara E. Stepp
-
依托单位:
海外基金