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Dysarthria

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


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01 Jan 1997
TL;DR: The Importance of Dysarthria in Differential Diagnosis: A Case Study P. van Borsel, V. van Dongen, et al. as mentioned in this paper presented a case study of acquired dysarthria and dysfluency in adults.
Abstract: Preface. Introduction:- Acquired Dysarthria and Dysfluency in Adults Y. Lebrun. Dysarthria:- Acoustic Analysis of Durational Speech Parameters in Neurological Dysarthrias I. Hertrich, H. Ackermann. The Importance of Dysarthria in Differential Diagnosis: A Case Study P. Coppens, R.R. Robey. Repair Strategies and Consonantal Cluster Production in Broca's Aphasia J.-L. Nespoulous, N. Moreau. Acute Neurogenic Speechlessness M. Ventura, et al. Slowly Progressive Dysarthria H. van Dongen, et al. Dysfluency:- Adult-Onset Stuttering Y. Lebrun. Idiopathic Stuttering Onset in Adults M.M. Leahy, T. Stewart. The Differential Diagnosis of Late-Onset Stuttering J. van Borsel, et al. A Case of Acquired Stuttering Following Brain Damage H. Bijleveld, A.-M. Simon. Aggravation or Recurrence of Pre-Existing Stuttering Following Brain Damage Suffered in Adulthood J. van Borsel, V. Cappaert. Index.

11 citations

Journal ArticleDOI
TL;DR: STN-DBS may resolve hypokinesia of the articulation structures, including the mouth/jaw and tongue, and improve maximal vowel articulation, and in the on-stimulation condition, the VSA was not significantly correlated with speech intelligibility.
Abstract: Background Voice and speech disorders are one of the most important issues after subthalamic nucleus deep brain stimulation (STN-DBS) in Parkinson's disease (PD) patients. However, articulation features in this patient population remain unclear. Objective We studied the articulation features of PD patients with STN-DBS. Methods Participants were 56 PD patients treated with STN-DBS (STN-DBS group) and 41 patients treated only with medical therapy (medical-therapy-alone group). Articulation function was evaluated with acoustic and auditory-perceptual analyses. The vowel space area (VSA) was calculated using the formant frequency data of three vowels (/a/, /i/, and /u/) from sustained phonation task. The VSA reportedly reflects the distance of mouth/jaw and tongue movements during speech and phonation. Correlations between acoustic and auditory-perceptual measurements were also assessed. Results The VSA did not significantly differ between the medical-therapy-alone group and the STN-DBS group in the off-stimulation condition. In the STN-DBS group, the VSA was larger in the on-stimulation condition than in the off-stimulation condition. However, individual analysis showed the VSA changes after stopping stimulation were heterogeneous. In total, 89.8% of the STN-DBS group showed a large VSA size in the on- than in the off-stimulation condition. In contrast, the VSA of the remaining patients in that group was smaller in the on- than the off-stimulation condition. Conclusions STN-DBS may resolve hypokinesia of the articulation structures, including the mouth/jaw and tongue, and improve maximal vowel articulation. However, in the on-stimulation condition, the VSA was not significantly correlated with speech intelligibility. This may be because STN-DBS potentially affects other speech processes such as voice and/or respiratory process.

11 citations

Journal ArticleDOI
30 Jun 2017
TL;DR: The study showed that the combination of osteopathic treatment with medical therapy and logopedic correction improved the indices of cerebral hemodynamics and bioelectric activity of the brain, contributing to more active recovery of speech functions and decrease of concomitant neurological disorders, in comparison with the medication therapy combined withlogopedic treatment.
Abstract: Introduction. According to the world statistics, the number of speech disorders in children is steadily growing, and therefore it becomes very important to detect and to correct them. At the same time, there are no research proving the effectiveness of osteopathic treatment of children presenting speech pathologies. Objective. To justify the effectiveness of osteopathic treatment of children presenting pseudobulbar dysarthria aged from 3 to 6 years old using objective data of neurological, osteopathic, ultrasound and neurophysiological examinations. Methods. 44 children aged from 3 to 6 years old with a diagnosis of the pseudobulbar dysarthria took part in the study. The average age at the beginning of the study was 4,2±0,7 years old. Two homogeneous groups of 22 children each were formed by simple randomization method with the use of a random number generator. Neurological, logo pe dic and osteopathic status of all the patients was evaluated. Duplex scanning of brachiocephalic vessels and an electroencephalogram were made. Patients of the main group received osteopathic treatment in combination with neurological and logopedic treatment, while the control group was treated only by the neurologist and the speech therapist. Results. The study showed that the combination of osteopathic treatment with medical therapy and logopedic correction signifi cantly improved the indices of cerebral hemodynamics and bioelectric activity of the brain, contributing to more active recovery of speech functions and decrease of concomitant neurological disorders, in comparison with the medication therapy combined with logopedic treatment. Conclusion. The results obtained permit to recommend the inclusion of osteopathic treatment in the standards of medical care for children presenting pseudobulbar dysarthria.

11 citations

01 Jan 2019
TL;DR: Solutions for inclusive design in the voice assistant design space including a conceptual model for integrating specific techniques into commercially available VAs are proposed to address the needs of people with speech disorders.
Abstract: People are using voice assistants (VAs) such as Siri & Alexa more than ever before. With 46% of U.S. adults using VAs, commercially available voice-activated technologies are becoming pervasive in our homes and beyond (Pew Research, 2017). VAs provide convenience, novelty, and unique solutions for the medical industry. But, some users may be left out of the conversation. People with speech disorders or atypical speech historically have found difficulty with using automatic speech recognition (ASR) technologies, the precursor to VAs. Usability testing for these systems has consistently shown that they are not easy to use for people with speech disorders. This investigation sought to perform a literature review of the existing research on the usability of commercially available ASRs for people with speech disorders to provide historical perspectives and to take an inventory of how this issue is being addressed today. A literature review was performed on the usability of commercially available ASRs for people with speech disorders and was divided into two stages: studies before the introduction of VAs and those that tested VAs themselves. Understanding where we have been and where we are now will also inform technical communication and usability professionals on what the future of ASRs may hold and how we can best address the needs of this audience. To do so, this paper proposes solutions for inclusive design in the voice assistant design space including a conceptual model for integrating specific techniques into commercially available VAs. Introduction “Alexa”, “OK, Google”, and “Hey, Siri”. These are all some of the common phrases being exchanged with today’s most popular voice assistants (VAs). Advances in voice recognition and natural language processing have made it easy to integrate speech recognition into our smartphones, smart watches, smart home devices, and smart speakers. Research conducted by Pew Research Center estimated that almost half (46%) of U.S. adults use a voice assistant (Pew, 2017). More research conducted by NPR and Edison Research found that approximately 43 million American adults own a smart speaker (The Smart Audio Report, Winter 2018. (2018)). Today, people are using this technology to perform a multitude of everyday tasks in their homes like playing the news, setting timers, home automation, and more. But while VAs create unique solutions for many, they may not be accessible for all users. One particular community of people who are likely to have difficulty using VAs are individuals with a disorder or disability affecting their speech. Approximately 9.4 million adults in the United States have trouble using their voices (Moore et al., 2018). Often, VAs cannot accurately recognize the speech of individuals with speech disorders such as dysarthria, a motor speech disorder most commonly occurring in those who are affected by conditions such as amyotrophic lateral sclerosis (ALS), stroke, cerebral palsy, or Parkinson’s disease. Historically, many of these individuals have used automatic voice recognition (ASR) technologies because they are hands free modalities

11 citations

Journal ArticleDOI
TL;DR: No successful treatments exist for communication disorders of FRDA patients; however, the tailored speech training or the non-invasive neuromodulation appear as the most reliable therapeutic options to be validate in future trials.
Abstract: Speech and language disorders are prominent signs in Friedreich ataxia (FRDA), which significantly impact on patients' quality of life. Despite such relevance, several issues regarding phenomenology, assessment, and treatment are still unmet. In this short review, we thus analyzed the existing literature to summarize what is known about the features of speech and language disorders in FRDA, which methods are used for evaluation and rating, and what are the available therapeutic strategies and future direction of scientific research in this field, in order to highlight critical aspects for a better clinical approach to the problem. FRDA patients often present dysarthria, resulting from central and peripheral causes and additional primary language disorders. Speech disturbances have peculiar characteristics, although variable among patients, and progress along the disease course. Assessment relies on multiple but not specific clinical scales, some of which can also reflect the general severity of ataxia; classical instrumental investigations and novel technologies allow more accurate measurements of several speech parameters, which could found application as potential disease's biomarkers. No successful treatments exist for communication disorders of FRDA patients; however, the tailored speech training or the non-invasive neuromodulation appear as the most reliable therapeutic options to be validate in future trials.

11 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023229
2022415
2021164
2020138
2019125
201888