Sentence-Level Movements in Parkinson's Disease: Loud, Clear, and Slow Speech

Kearney, Elaine; Giles, Renuka; Haworth, Brandon; Faloutsos, Petros; Baljko, Melanie; Yunusova, Yana

doi:10.1044/2017_jslhr-s-17-0075

Cited by 60 publications

(47 citation statements)

References 53 publications

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“…This discovery is consistent with Kearney's research [21] and can be well explained by Goozée's perspective [46], [55]. Kearney et al examined the association between the speech intelligibility and the articulatory movements of Parkinson's disease (PD) patients on sentence level [21] as impaired articulation is more likely to occur in connected speech in PD than at the syllable level [17], [18]. They found that compared to the normal pronunciation, PD appears larger movement sizes for loud, clear and slow speech, and faster speeds for loud, clear speech.…”

Section: B Articulation Velocity and Space Distributionsupporting

confidence: 92%

“…From the graph, we discovered that for words/sentences, patients actually pronounce faster than normal people by about 5mm/s, at 85mm/s. This discovery is consistent with Kearney's research [21] and can be well explained by Goozée's perspective [46], [55]. Kearney et al examined the association between the speech intelligibility and the articulatory movements of Parkinson's disease (PD) patients on sentence level [21] as impaired articulation is more likely to occur in connected speech in PD than at the syllable level [17], [18].…”

Section: B Articulation Velocity and Space Distributionsupporting

confidence: 78%

“…In addition, mouth/tongue massage and reading/speaking training are still the main methods used in the rehabilitation practice of patients with dysarthria at present. The word/sentence level research would help doctors design proper texts to better evaluate the fluency and intelligibility for patients compared to single syllables [21]. The tongue movement research enlightens doctors in designing appropriate gestures according to the patients' situation to mobilize different tongue muscles.…”

Section: Discussionmentioning

confidence: 99%

“…The displacement is another critical factor to lead the increasing velocity. Many research have noticed that the movement size of articulatory organs increases during the articulation for the tongue movement [10], [11], [21].…”

Section: B Articulation Velocity and Space Distributionmentioning

confidence: 99%

“…A study of the tongue tip and dorsum during a passage-reading task showed an overall reduction in tongue movement size and speed [7]. Whereas, in order to examine the association between the speech intelligibility and the articulatory movements of Parkinson's disease patients on sentence level, Kearney et al found that compared to the normal pronunciation, patients appears larger movement sizes for loud, clear and slow speech, and faster speeds for loud, clear speech [21].…”

Section: Introductionmentioning

confidence: 99%

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Statistical Distribution Exploration of Tongue Movement for Pathological Articulation on Word/Sentence Level

et al. 2020

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Pathological articulation exploration, especially the study of the kinematic characteristics of motor organ, is helpful to further reveal the essence of motor dysarthria. Due to the scarcity of the available pathological pronunciation database, there has little research working on the statistic distribution analysis for patients and normal controlled people. This paper applied the distribution method on TORGO database to discover the cognitive and motor rules of dysarthria patients. Single phoneme analysis is effective for locating the specific tongue muscle but ignoring cognitive ability assessment, particularly for the content understanding and the fluency degree of expression by patients. The paper focused on the word/sentence level rather than single phoneme analysis. The reaction time was designed to reveal the relationship between the brain cognition and motor neuron activation. The statistic distribution tells that the cerebral palsy or amyotrophic lateral sclerosis does affect people's reflection and make the patients hard to control the tongue muscles effectively, resulting in unstable reaction time. The articulation velocity of patients appears 5mm/s faster than normal people, at 85mm/s, perhaps due to the factors of the word/sentence data and the big proportion of extra large displacement. It illustrates that the tongue moves relatively coherently and fluently once patients active the muscles, but hard to slow down as the muscle control ability decreases. The spatial occupancy was represented by the maximum articulation movement range (MAMR). We adapted the logarithmic normal distribution to find out the significant threshold for the diagnosis of dysarthria with the MAMR exceeding 7mm along left and right direction and the number of abnormal ranges surpassing 10% of total number. Primary test of MAMR, as an articulatory feature, for speech classification was carried out and it achieves 81% accuracy. These explorations convinced us to apply them to the pathological speech recognition task for improvement in future. INDEX TERMS Dysarthria, statistical distribution, tongue movement, EMA, TORGO database.

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