Dysarthria

About: Dysarthria is a research topic. Over the lifetime, 2402 publications have been published within this topic receiving 56554 citations.

Speech, Language and Oromotor Skills in Patients with Polymicrogyria.

Abstract: Objective To determine whether specific speech, language, and oromotor profiles are associated with different patterns of polymicrogyria, we assessed 52 patients with polymicrogyria using a battery of standardized tests and correlated findings with topography and severity of polymicrogyria. Methods Patients were identified via clinical research databases and invited to participate, irrespective of cognitive and verbal language abilities. We conducted standardized assessments of speech, oromotor structure and function, language, and nonverbal IQ. Data were analyzed according to normative assessment data and descriptive statistics. We conducted a correlation analysis between topographic pattern and speech and language findings. Results Fifty-two patients (33 male, 63%) were studied at an average age of 12.7 years (range 2.5–36 years). All patients had dysarthria, which ranged from mild impairment to anarthria. Developmental speech errors (articulation and phonology), oral motor structure and function deficits, and language disorder were frequent. A total of 23/29 (79%) had cognitive abilities in the low average to extremely low range. In the perisylvian polymicrogyria group (36/52), speech, everyday language, and oral motor impairments were more severe, compared to generalized (1 patient), frontal (3), polymicrogyria with periventricular nodular heterotopia (3), parasagittal parieto-occipital (1), mesial occipital (1), and other (7) patterns. Conclusions Dysarthria is a core feature of polymicrogyria, often accompanied by receptive and expressive language impairments. These features are associated with all polymicrogyria distribution patterns and more severe in individuals with bilateral polymicrogyria, particularly in the perisylvian region.

Speech intelligibility loss due to amyotrophic lateral sclerosis: the effect of tongue movement reduction on vowel and consonant acoustic features

Abstract: The purpose of this study was to identify aspects of impaired tongue motor performance that limit the ability to produce distinct speech sounds and contribute to reduced speech intelligibility in individuals with dysarthria secondary to amyotrophic lateral sclerosis (ALS). We analyzed simultaneously recorded tongue kinematic and acoustic data from 22 subjects during three target words (cat, dog, and took). The subjects included 11 participants with ALS and 11 healthy controls from the X-ray microbeam dysarthria database (Westbury, 1994). Novel measures were derived based on the range and speed of relative movement between two quasi-independent regions of the tongue - blade and dorsum - to characterize the global pattern of tongue dynamics. These "whole tongue" measures, along with the range and speed of single tongue regions, were compared across words, groups (ALS vs. control), and measure types (whole tongue vs. tongue blade vs. tongue dorsum). Reduced range and speed of both global and regional tongue movements were found in participants with ALS relative to healthy controls, reflecting impaired tongue motor performance in ALS. The extent of impairment, however, varied across words and measure types. Compared with the regional tongue measures, the whole tongue measures showed more consistent disease-related changes across the target words and were more robust predictors of speech intelligibility. Furthermore, these whole tongue measures were correlated with various word-specific acoustic features associated with intelligibility decline in ALS, suggesting that impaired tongue movement likely contributes to reduced phonetic distinctiveness of both vowels and consonants that underlie speech intelligibility decline in ALS.

Dysarthria and other-initiated repair in everyday conversation.

Abstract: Dysarthria is commonly understood as a motor speech disorder characterized by symptoms that are framed as physiologically or acoustically measurable. The effects of dysarthria on social interaction through conversation have been reported but, in comparison with physical measures, remain relatively unexplored. Other-initiated repair sequences are particularly common in dysarthria-in-interaction, drawing attention to the actions of both participants in managing (un)intelligibility, rather than the behavior(s) of the person with dysarthric speech in isolation. These sequences merit detailed and ongoing investigation as they enable us to understand how dysarthria impacts on conversation and, critically, how participants attempt to manage difficulties when they arise. This study explores the organization of other-initiated repair sequences in a dyad where one participant has severe dysarthria arising from amyotrophic lateral sclerosis (ALS) also known as MND. Two hours of recordings were collected on four dates over a 12-month period with the data presented here from recording two. The evidence shows that the participants were able to resolve their troubles, but it required extensive work to both identify the trouble sources and to unravel the problems to reach a satisfactory understanding. The interactions presented in this paper reveal an important limitation of other initiation of repair. Physical restrictions were seen to play an important part in the dysarthric speaker's ability to position his talk in sequential context and successfully accomplish self-repair; particularly, third-turn repair. The present study has offered a depiction of layered conversational problems that other-initiation of repair may not completely resolve or, in some cases, multiply.

Speech Signal Analysis and Pattern Recognition in Diagnosis of Dysarthria.

Abstract: Background: Dysarthria refers to a group of disorders resulting from disturbances in muscular control over the speech mechanism due to damage of central or peripheral nervous system. There is wide subjective variability in assessment of dysarthria between different clinicians. In our study, we tried to identify a pattern among types of dysarthria by acoustic analysis and to prevent intersubject variability. Objectives: (1) Pattern recognition among types of dysarthria with software tool and to compare with normal subjects. (2) To assess the severity of dysarthria with software tool. Materials and Methods: Speech of seventy subjects were recorded, both normal subjects and the dysarthric patients who attended the outpatient department/admitted in AIMS. Speech waveforms were analyzed using Praat and MATHLAB toolkit. The pitch contour, formant variation, and speech duration of the extracted graphs were analyzed. Results: Study population included 25 normal subjects and 45 dysarthric patients. Dysarthric subjects included 24 patients with extrapyramidal dysarthria, 14 cases of spastic dysarthria, and 7 cases of ataxic dysarthria. Analysis of pitch of the study population showed a specific pattern in each type. F0 jitter was found in spastic dysarthria, pitch break with ataxic dysarthria, and pitch monotonicity with extrapyramidal dysarthria. By pattern recognition, we identified 19 cases in which one or more recognized patterns coexisted. There was a significant correlation between the severity of dysarthria and formant range. Conclusions: Specific patterns were identified for types of dysarthria so that this software tool will help clinicians to identify the types of dysarthria in a better way and could prevent intersubject variability. We also assessed the severity of dysarthria by formant range. Mixed dysarthria can be more common than clinically expected.