Vocal tract characteristics in Parkinsonʼs disease

Gillivan-Murphy, Patricia; Carding, Paul; Miller, Nick

doi:10.1097/moo.0000000000000252

Cited by 14 publications

(9 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We are the first study that investigated the use of VTL to identify voices of people with PD and found that VTL parameters outperformed the features reported in the literature that are related to perturbation of glottal vibration, such as jitter, shimmer, pitch frequency, and harmonics ratio. The finding in this study suggests and supports the argument in 35 that the neuro-physiology change in PD patients is manifested more in the change of vocal tract control compared to glottal vibration or air pressure control by the lung. This opens the potential for computerized and remote monitoring of people with PD.…”

Section: Discussionsupporting

confidence: 89%

“…It is commonly assumed that Parkinsonian dysarthria is affected by the abnormal vibration of the vocal cords, such as the inadequate or excessive closing of the vocal cords and irregular or asymmetrical vocal fold, as well as a tremor in its muscles 8 , 34 , 35 . A total of 6 parameters related to the periodicity and stability of glottal vibration were extracted from each recording.…”

Section: Methodsmentioning

confidence: 99%

“…Gillivan-Murphy 35 published preliminary findings based on nasolaryngoscopy which shows that PD voice tremor is not associated with the vocal folds. PD voice tremor is likely to be related to oscillatory movement in structures across the vocal tract rather than just the vocal folds.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Phonemes based detection of parkinson’s disease for telehealth applications

Pah

Motin

Kumar

2022

Sci Rep

View full text Add to dashboard Cite

Dysarthria is an early symptom of Parkinson’s disease (PD) which has been proposed for detection and monitoring of the disease with potential for telehealth. However, with inherent differences between voices of different people, computerized analysis have not demonstrated high performance that is consistent for different datasets. The aim of this study was to improve the performance in detecting PD voices and test this with different datasets. This study has investigated the effectiveness of three groups of phoneme parameters, i.e. voice intensity variation, perturbation of glottal vibration, and apparent vocal tract length (VTL) for differentiating people with PD from healthy subjects using two public databases. The parameters were extracted from five sustained phonemes; /a/, /e/, /i/, /o/, and /u/, recorded from 50 PD patients and 50 healthy subjects of PC-GITA dataset. The features were statistically investigated, and then classified using Support Vector Machine (SVM). This was repeated on Viswanathan dataset with smartphone-based recordings of /a/, /o/, and /m/ of 24 PD and 22 age-matched healthy people. VTL parameters gave the highest difference between voices of people with PD and healthy subjects; classification accuracy with the five vowels of PC-GITA dataset was 84.3% while the accuracy for other features was between 54% and 69.2%. The accuracy for Viswanathan’s dataset was 96.0%. This study has demonstrated that VTL obtained from the recording of phonemes using smartphone can accurately identify people with PD. The analysis was fully computerized and automated, and this has the potential for telehealth diagnosis for PD.

show abstract

Section: Discussionsupporting

confidence: 89%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Phonemes based detection of parkinson’s disease for telehealth applications

Pah

Motin

Kumar

2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Second, the abnormal vibration of the vocal cords also affects dysarthria. Laryngopharyngeal involvement manifests as vocal fatigue, vocal breaks, tremor and the inability to make sound 12 , 13 . These manifestations may lead to the inadequate or excessive closing of the vocal cords and irregular or asymmetrical vocal fold motion during phonation 14 , 15 .…”

Section: Introductionmentioning

confidence: 99%

The physical significance of acoustic parameters and its clinical significance of dysarthria in Parkinson’s disease

Yang

Wang

Yang

et al. 2020

Sci Rep

View full text Add to dashboard Cite

Dysarthria is universal in Parkinson's disease (PD) during disease progression; however, the quality of vocalization changes is often ignored. Furthermore, the role of changes in the acoustic parameters of phonation in PD patients remains unclear. We recruited 35 PD patients and 26 healthy controls to perform single, double, and multiple syllable tests. A logistic regression was performed to differentiate between protective and risk factors among the acoustic parameters. The results indicated that the mean f0, max f0, min f0, jitter, duration of speech and median intensity of speaking for the PD patients were significantly different from those of the healthy controls. These results reveal some promising indicators of dysarthric symptoms consisting of acoustic parameters, and they strengthen our understanding about the significance of changes in phonation by PD patients, which may accelerate the discovery of novel PD biomarkers. Abbreviations PD Parkinson's disease HKD Hypokinetic dysarthria VHI-30 Voice Handicap Index H&Y Hoehn-Yahr scale UPDRS III Unified Parkinson's Disease Rating Scale Motor Score Parkinson's disease (PD), a chronic, progressive neurodegenerative disorder with an unknown etiology, is associated with a significant burden with regards to cost and use of societal resources 1,2. More than 90% of patients with PD suffer from hypokinetic dysarthria 3. Early in 1969, Darley et al. defined dysarthria as a collective term for related speech disorders. The classification of dysarthria includes flaccid dysarthria, spastic dysarthria, ataxic dysarthria, hypokinetic dysarthria, hyperkinetic dysarthria, unilateral upper motor neuron dysarthria and mixed dysarthria 4. The speech abnormalities of patients with PD are collectively termed hypokinetic dysarthria (HKD). These speech flaws are typically characterized by increased acoustic noise, a reduced intensity of voice, harsh and breathy voice quality, increased voice nasality, monopitch, monoloudness, speech rate disturbances, the imprecise articulation of consonants, the involuntary introduction of pauses, the rapid repetitions of words and syllables and sudden deceleration or acceleration in speech. Speech impairments are caused by impaired speech mechanisms during any of the basic motor processes involved in speech performance 5. The neuromotor speech sequence activates the muscles of the pharynx, tongue, larynx, chest and diaphragm through subthalamic secondary pathways. The anatomical substrate that could result in the abnormalities of PD phonetics may be reduced by the poor coordination of the sound-making muscles 6 .

show abstract

“…2,18,22 Similarly, patients with lung cancer, coexisting throat symptoms, dysphagia, and neurologic diseases such as Parkinson disease or essential tremor also warrant heightened vigilance from providers. 23,24 Although concern regarding potential overdiagnosis of reflux-related voice disorders has been raised, gastroesophageal reflux was related to ≥30 days of voice-related health care utilization (Table 5). 25–27 Whether this association is due to a pathologic link, coprevalence, or presumptive reflux diagnosis cannot be determined.…”

Section: Discussionmentioning

confidence: 99%

Chronicity of Voice‐Related Health Care Utilization in the General Medicine Community

Lee

Roy

Misono

2017

Otolaryngol.--head neck surg.

View full text Add to dashboard Cite

Objectives To examine voice-related health care utilization of patients in the general medical community without otolaryngology evaluation and explore factors associated with prolonged voice-related health care. Study Design Retrospective cohort analysis. Setting Large, national administrative US claims database. Subjects and Methods Patients with voice disorders per International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes from January 1, 2010, to December 31, 2012, seen by a general medical physician, and who did not see an otolaryngologist in the subsequent year were included. Voice-related health care utilization, patient demographics, comorbid conditions, and index laryngeal diagnosis were collected. Logistic regression with variable selection was performed to evaluate the association between predictors and ≥30 days of voice-related health care use. Results In total, 46,205 unique voice-disordered patients met inclusion criteria. Of these patients, 8.5%, 10.0%, and 12.5% had voice-related health care use of ≥90, ≥60, and ≥30 respectively. Of the ≥30-day days, subset, 80.3% and 68.5%, respectively, had ≥60 and ≥90 days of voice-related health care utilization. The ≥30-day subset had more general medicine and nonotolaryngology specialty physician visits, more prescriptions and procedures, and 4 times the voice-related health care costs compared with those in the <30-day subset. Age, sex, employment status, initial voice disorder diagnosis, and comorbid conditions were related to ≥30 days of voice-related health care utilization. Conclusions Thirty days of nonotolaryngology-based care for a voice disorder may represent a threshold beyond which patients are more likely to experience prolonged voice-related health care utilization. Specific factors were associated with extended voice-related health care.

show abstract

Vocal tract characteristics in Parkinsonʼs disease

Cited by 14 publications

References 25 publications

Phonemes based detection of parkinson’s disease for telehealth applications

Phonemes based detection of parkinson’s disease for telehealth applications

The physical significance of acoustic parameters and its clinical significance of dysarthria in Parkinson’s disease

Chronicity of Voice‐Related Health Care Utilization in the General Medicine Community

Contact Info

Product

Resources

About