Dysphonia Characteristics and Vowel Impairment in Relation to Neurological Status in Patients with Multiple Sclerosis

Fazeli, Mahnoosh; Moradi, Negin; Soltani, Majid; Naderifar, Ehsan; Majdinasab, Nastaran; Latifi, Seyed Mahmoud; Dastoorpour, Maryam

doi:10.1016/j.jvoice.2018.09.018

Cited by 27 publications

(10 citation statements)

References 30 publications

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“…Nearly 40% of subjects with a diagnosis of MS have speech disorders such as dysphonia and dysarthria and, at a lesser extent, comprehension disorders 105,106 .…”

Section: Speech Disordersmentioning

confidence: 99%

Otolaryngologic Symptoms in Multiple Sclerosis: A Review

Ralli¹,

Stadio²,

Visconti³

et al. 2018

The International Tinnitus Journal

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Many symptoms of multiple sclerosis may affect the ear, nose and throat. The most common otolaryngologic symptoms of multiple sclerosis are speech disorders, followed by sleep disorders, vertigo and disequilibrium, dysphagia, smell alterations, and hearing loss. Less common symptoms include sialorrhea, facial palsy, taste alterations, trigeminal neuralgia and tinnitus. The origin of otolaryngologic symptoms in multiple sclerosis is mainly central, although increasing evidence also suggests a peripheral involvement.

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“…Nearly 40% of subjects with a diagnosis of MS have speech disorders such as dysphonia and dysarthria and, at a lesser extent, comprehension disorders 105,106 .…”

Section: Speech Disordersmentioning

confidence: 99%

Otolaryngologic Symptoms in Multiple Sclerosis: A Review

Ralli¹,

Stadio²,

Visconti³

et al. 2018

The International Tinnitus Journal

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“…Through objective measurement of speech, acoustic analysis can inform on change of neurological function. The relationship between specific acoustic metrics and neurological dysfunction [17][18][19] or brain volumetrics [15,19] was recently described in MS. The primary aim of the current study was to describe the relationship between speech measurements and general neurological impairment, brain volume, brain lesion load and quality of life in MS in a single cohort.…”

Section: Introductionmentioning

confidence: 99%

Speech metrics, general disability, brain imaging and quality of life in multiple sclerosis

Noffs

Boonstra

Perera

et al. 2020

Euro J of Neurology

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Background and purpose: Objective measurement of speech has shown promising results to monitor disease state in multiple sclerosis. In this study, we characterize the relationship between disease severity and speech metrics through perceptual (listener based) and objective acoustic analysis. We further look at deviations of acoustic metrics in people with no perceivable dysarthria. Methods: Correlations and regression were calculated between speech measurements and disability scores, brain volume, lesion load and quality of life. Speech measurements were further compared between three subgroups of increasing overall neurological disability: mild (as rated by the Expanded Disability Status Scale ≤2.5), moderate (≥3 and ≤5.5) and severe (≥6). Results: Clinical speech impairment occurred majorly in people with severe disability. An experimental acoustic composite score differentiated mild from moderate (P < 0.001) and moderate from severe subgroups (P = 0.003), and correlated with overall neurological disability (r = 0.6, P < 0.001), quality of life (r = 0.5, P < 0.001), white matter volume (r = 0.3, P = 0.007) and lesion load (r = 0.3, P = 0.008). Acoustic metrics also correlated with disability scores in people with no perceivable dysarthria. Conclusions: Acoustic analysis offers a valuable insight into the development of speech impairment in multiple sclerosis. These results highlight the potential of automated analysis of speech to assist in monitoring disease progression and treatment response.

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“…Darley et al [9] first perceptually distinguished impaired loudness control, harshness, defective articulation, impaired emphasis, insufficient pitch control, hypernasality, inappropriate pitch level, breathiness, and articulatory breakdowns as most distinctive manifestations of dysarthria in MS. Only a few studies have verified or extended the perceptual observations of Darley et al [9] by objective acoustic analyses and documented primarily phonatory abnormalities [10]- [12], as well as articulatory-prosodic disorder presenting by imprecise articulation, monopitch, articulatory decay, excess loudness variations, slow rate and various temporal deficits [5], [13]- [15]. Importantly, previous research has shown that the severity of dysarthria is attributed to the overall severity of neurological disease [4], [5], [15]. This observation provides an opportunity to consider objective speech evaluation as a potential biomarker for monitoring disease progression in MS.…”

Section: Introductionmentioning

confidence: 98%

Automated Assessment of Oral Diadochokinesis in Multiple Sclerosis Using a Neural Network Approach: Effect of Different Syllable Repetition Paradigms

Rozenstoks

Novotný

Horáková

et al. 2020

IEEE Trans. Neural Syst. Rehabil. Eng.

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Slow and irregular oral diadochokinesis represents an important manifestation of spastic and ataxic dysarthria in multiple sclerosis (MS). We aimed to develop a robust algorithm based on convolutional neural networks for the accurate detection of syllables from different types of alternating motion rate (AMR) and sequential motion rate (SMR) paradigms. Subsequently, we explored the sensitivity of AMR and SMR paradigms based on voiceless and voiced consonants in the detection of speech impairment. The four types of syllable repetition paradigms including /

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Dysphonia Characteristics and Vowel Impairment in Relation to Neurological Status in Patients with Multiple Sclerosis

Cited by 27 publications

References 30 publications

Otolaryngologic Symptoms in Multiple Sclerosis: A Review

Otolaryngologic Symptoms in Multiple Sclerosis: A Review

Speech metrics, general disability, brain imaging and quality of life in multiple sclerosis

Automated Assessment of Oral Diadochokinesis in Multiple Sclerosis Using a Neural Network Approach: Effect of Different Syllable Repetition Paradigms

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