Stuttering, lisping and correction of the speech of the deaf,

Mode of access: Internet.

What are tests for? The implications of stuttering steps along the patient pathway

This article explores the implications of how US family physicians make decisions about ordering diagnostic tests for their patients. Data is based on a study of 256 physicians interviewed after viewing a video vignette of a presenting patient. The qualitative analysis of 778 statements relating to trustworthiness of evidence for their decision making, the use of any kind of technology and diagnostic testing suggests a range of internal and external constraints on physician decision making. Test-ordering for family physicians in the United States is significantly influenced by both hidden cognitive processes related to the physician's calculation of patient resources and a health insurance system that requires certain types of evidence in order to permit further tests or particular interventions. The consequence of the need for physicians to meet multiple forms of proof that may not always relate to relevant treatment delays a diagnosis and treatment plan agreed not only by the physician and patient but also the insurance company. This results in a patient journey that is made up of stuttering steps to a confirmed diagnosis and treatment undermining patient-centred practice, compromising patient care, constraining physician autonomy and creating additional expense. © 2014 Elsevier Ltd.

Global business today, 3rd Asia Pacific Edition

The third edition of Global Business Today continues to effectively combine a world-wide orientation with an emphasis on the strategic issues that impact global business in our region. The authors provide background on the political, economic, social or cultural aspects of countries grappling with an international business issue, raising students' awareness of how national and geographic differences affect the conduct of international business. Chapter 7, for example, contains a new Country Focus box titled, "India's stuttering economic transformation". Developing economies are covered in the new Emerging Markets feature emphasizing the global coverage of the text and the increasing complexities and opportunities in international business. Chapter 13 contains Another Perspective box titled, "The China-plus-one Strategy."

Speech Analysis using Modern Techniques of Nonlinear Dynamics

Medical fields requires fast, simple and noninvasive methods of diagnostic techniques. Several methods are available and possible because of the growth of technology that provides the necessary means of collecting and processing signals. The present thesis details the work done in the field of voice signals. New methods of analysis have been developed to understand the complexity of voice signals, such as nonlinear dynamics aiming at the exploration of voice signals dynamic nature. The purpose of this thesis is to characterize complexities of pathological voice from healthy signals and to differentiate stuttering signals from healthy signals. Efficiency of various acoustic as well as non linear time series methods are analysed. Three groups of samples are used, one from healthy individuals, subjects with vocal pathologies and stuttering subjects. Individual vowels/ and a continuous speech data for the utterance of the sentence "iruvarum changatimaranu" the meaning in English is "Both are good friends" from Malayalam language are recorded using a microphone . The recorded audio are converted to digital signals and are subjected to analysis.Acoustic perturbation methods like fundamental frequency (FO), jitter, shimmer, Zero Crossing Rate(ZCR) were carried out and non linear measures like maximum lyapunov exponent(Lamda max), correlation dimension (D2), Kolmogorov exponent(K2), and a new measure of entropy viz., Permutation entropy (PE) are evaluated for all three groups of the subjects. Permutation Entropy is a nonlinear complexity measure which can efficiently distinguish regular and complex nature of any signal and extract information about the change in dynamics of the process by indicating sudden change in its value. The results shows that nonlinear dynamical methods seem to be a suitable technique for voice signal analysis, due to the chaotic component of the human voice. Permutation entropy is well suited due to its sensitivity to uncertainties, since the pathologies are characterized by an increase in the signal complexity and unpredictability. Pathological groups have higher entropy values compared to the normal group. The stuttering signals have lower entropy values compared to the normal signals.PE is effective in charaterising the level of improvement after two weeks of speech therapy in the case of stuttering subjects. PE is also effective in characterizing the dynamical difference between healthy and pathological subjects. This suggests that PE can improve and complement the recent voice analysis methods available for clinicians. The work establishes the application of the simple, inexpensive and fast algorithm of PE for diagnosis in vocal disorders and stuttering subjects.

The aetiology and treatment of developmental stammering in childhood

Developmental stammering (DS, also known as idiopathic stammering or stuttering) is a disorder of speech fluency that affects approximately 0.75% to 1% of the populations of Great Britain, Australia and America,(1-4) although a recent study puts the point prevalence figure at between 1% and 3% in the UK.(5) Prevalence is generally thought to be similar amongst communities worldwide, although there have been occasional suggestions that this figure might be lower in countries where there is less pressure on verbal acuity.(6) DS may be distinguished from neurogenic stammering, which can occur subsequent to neurological damage of various aetiologies (for example, stroke, tumour, degenerative disease) and psychogenic stammering, whose onset can be related to a significant psychological event such as bereavement. While a diagnosis of neurogenic stammering might be made in early childhood and adolescence, both neurogenic and psychogenic types are typically associated with an adult onset. DS is by far the most common form of stammering and usually develops in the pre-school years. The mean age at onset is 4 2, with 75% of cases beginning before the age of 6.(1) However, occasionally, stammering onset may be seen as late as 12 or 13 years of age.

The neurological underpinnings of cluttering: some initial findings

Background Cluttering is a fluency disorder characterised by overly rapid or jerky speech patterns that compromise intelligibility. The neural correlates of cluttering are unknown but theoretical accounts implicate the basal ganglia and medial prefrontal cortex. Dysfunction in these brain areas would be consistent with difficulties in selection and control of speech motor programs that are characteristic of speech disfluencies in cluttering. There is a surprising lack of investigation into this disorder using modern imaging techniques. Here, we used functional MRI to investigate the neural correlates of cluttering. Method We scanned 17 adults who clutter and 17 normally fluent control speakers matched for age and sex. Brain activity was recorded using sparse-sampling functional MRI while participants viewed scenes and either (i) produced overt speech describing the scene or (ii) read out loud a sentence provided that described the scene. Speech was recorded and analysed off line. Differences in brain activity for each condition compared to a silent resting baseline and between conditions were analysed for each group separately (cluster-forming threshold Z > 3.1, extent p < 0.05, corrected) and then these differences were further compared between the two groups (voxel threshold p < 0.01, extent > 30 voxels, uncorrected). Results In both conditions, the patterns of activation in adults who clutter and control speakers were strikingly similar, particularly at the cortical level. Direct group comparisons revealed greater activity in adults who clutter compared to control speakers in the lateral premotor cortex bilaterally and, as predicted, on the medial surface (pre-supplementary motor area). Subcortically, adults who clutter showed greater activity than control speakers in the basal ganglia. Specifically, the caudate nucleus and putamen were overactive in adults who clutter for the comparison of picture description with sentence reading. In addition, adults who clutter had reduced activity relative to control speakers in the lateral anterior cerebellum bilaterally. Eleven of the 17 adults who clutter also stuttered. This comorbid diagnosis of stuttering was found to contribute to the abnormal overactivity seen in the group of adults who clutter in the right ventral premotor cortex and right anterior cingulate cortex. In the remaining areas of abnormal activity seen in adults who clutter compared to controls, the subgroup who clutter and stutter did not differ from the subgroup who clutter but do not stutter. Conclusions Our findings were in good agreement with theoretical predictions regarding the neural correlates of cluttering. We found evidence for abnormal function in the basal ganglia and their cortical output target, the medial prefrontal cortex. The findings are discussed in relation to models of cluttering that point to problems with motor control of speech.

Aspectos da fluência na narrativa oral de indivíduos com Transtorno do Espectro Alcoólico Fetal

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Orientação familiar e seus efeitos na gagueira infantil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Fatores de risco para gagueira em crianças disfluentes com recorrência familial

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Fatores de risco na gagueira desenvolvimental familial e isolada

OBJETIVO: investigar e comparar os achados dos fatores de risco para a cronicidade da gagueira em crianças com gagueira desenvolvimental familial e isolada. MÉTODOS: participaram 60 crianças de ambos os gêneros, divididas em dois grupos: GI - 30 crianças com gagueira desenvolvimental familial; GII - 30 crianças com gagueira desenvolvimental isolada. A coleta de dados foi realizada por meio do Protocolo de Risco para a Gagueira do Desenvolvimento - PRGD (Andrade, 2006), que considera os seguintes fatores de risco: idade, gênero, tipo de surgimento e tempo de duração das disfluências, tipologia das disfluências, fatores comunicativos e qualitativos associados, histórico mórbido pré, peri e pós natal, fatores estressantes que ocorreram próximo ao surgimento do distúrbio, histórico familial, reação pessoal, familiar e social e atitudes familiares. RESULTADOS: quando o grupo I (GI) foi comparado com o grupo II (GII), a única diferença estatisticamente significante foi com relação aos fatores estressantes que ocorreram próximo ao surgimento do distúrbio. CONCLUSÃO: os resultados confirmam a natureza complexa da gagueira, bem como a necessidade de se investigar os vários fatores considerados como de risco para o distúrbio, com intuito de melhorar a compreensão de suas possíveis etiologias.

Aplicação dos testes de padrão temporal em crianças com gagueira desenvolvimental persistente

OBJETIVO: caracterizar e comparar o desempenho das crianças com diagnóstico de gagueira nos testes de padrão temporal, com crianças sem queixas e/ou sinais de transtornos psiquiátricos ou neurológicos, dificuldades de fala, audição, linguagem e/ou aprendizagem. MÉTODO: participaram 30 crianças entre 9 e 12 anos de idade, de ambos os gêneros, divididas em dois grupos: GI - 15 crianças com gagueira desenvolvimental persistente; GII - 15 crianças sem queixas e/ou sinais de transtornos psiquiátricos ou neurológicos, dificuldades de fala, audição, linguagem e/ou aprendizagem. Para avaliação do processamento auditivo temporal, foi aplicado os Testes Tonais de Padrão de Frequência (PPS-Pitch Pattern Sequence Test) e Testes Tonais de Padrão de Duração (DPS - Duration Pattern Sequence Test). RESULTADOS: o grupo II apresentou desempenho superior no teste de padrão de frequência e de padrão de duração quando comparado ao grupo I. Os resultados indicaram que houve diferença estatisticamente significante entre os grupos estudados. CONCLUSÃO: os participantes do grupo I apresentaram desempenho alterado nos testes de padrão temporal, o que indica que existe relação entre a gagueira e o transtorno do processamento auditivo.