Separation of trait and state in stuttering

Stuttering is a disorder in which the smooth flow of speech is interrupted. People who stutter show structural and functional abnormalities in the speech and motor system. It is unclear whether functional differences reflect general traits of the disorder or are specifically related to the dysfluent speech state. We used a hierarchical approach to separate state and trait effects within stuttering. We collected sparse‐sampled functional MRI during two overt speech tasks (sentence reading and picture description) in 17 people who stutter and 16 fluent controls. Separate analyses identified indicators of: (1) general traits of people who stutter; (2) frequency of dysfluent speech states in subgroups of people who stutter; and (3) the differences between fluent and dysfluent states in people who stutter. We found that reduced activation of left auditory cortex, inferior frontal cortex bilaterally, and medial cerebellum were general traits that distinguished fluent speech in people who stutter from that of controls. The stuttering subgroup with higher frequency of dysfluent states during scanning (n = 9) had reduced activation in the right subcortical grey matter, left temporo‐occipital cortex, the cingulate cortex, and medial parieto‐occipital cortex relative to the subgroup who were more fluent (n = 8). Finally, during dysfluent states relative to fluent ones, there was greater activation of inferior frontal and premotor cortex extending into the frontal operculum, bilaterally. The above differences were seen across both tasks. Subcortical state effects differed according to the task. Overall, our data emphasise the independence of trait and state effects in stuttering

Students Who Stutter and the Basic Course: Attitudes and Communication Strategies for the College Classroom

Individuals who stutter are erroneously perceived by those who do not as having undesirable personality traits. As a result, those who stutter are discriminated against in social situations, in the workplace and, of special concern here, college classrooms. However, the college experience for those who stutter can be enhanced when they are provided with a communication atmosphere that meets their needs. This essay, therefore, argues the necessity for communication instructors to have a basic understanding of stuttering, and provides strategies for meeting the classroom communicative needs of students who stutter

The working alliance in stuttering treatment: a neglected variable?

Background Multiple factors can influence the working alliance and treatment outcome in speech and language therapy. The ‘working alliance’ is an important concept in treatment and can be described as the degree to which a treatment dyad is engaged in collaborative, purposive work. To date, relatively little attention has been paid to this concept within speech and language treatment in general, and within stuttering treatment research in particular. Aims To investigate the role of the working alliance within stuttering treatment, and to evaluate whether the quality of the working alliance correlated with clients’ concept of motivation and treatment outcomes 6 months post‐therapy. Methods & Procedures Eighteen adults (21‐61 years) participated in this multiple single‐case treatment study, with treatment facilitated by an experienced speech and language therapist. The working alliance was investigated using the Working Alliance Inventory—Short Version Revised (WAI‐SR), an Extended version of the Client Preferences for Stuttering Treatment (CPST‐E), the Overall Assessment of Speakers’ Experience of Stuttering—Adult version (OASES‐A), the Wright & Ayre Stuttering Self‐Rating Profile (WASSP) and the Hospital Anxiety and Depression Scale (HADS). Outcomes & Results Analyses demonstrated significant associations between the working alliance and client motivation (r = 0.781) and treatment outcomes (r = 0.644) 6 months post‐treatment. The association between client‐led goals and therapy tasks appeared particularly important. Conclusions & Implications The working alliance between speech and language therapists and persons who stutter matters. Within the alliance, the level of client–clinician agreement on treatment goals and therapy tasks may be of greater importance than the bond between client and clinician. Further research with greater numbers of participants is warranted

Systematic Review of Machine Learning Approaches for Detecting Developmental Stuttering

A systematic review of the literature on statistical and machine learning schemes for identifying symptoms of developmental stuttering from audio recordings is reported. Twenty-seven papers met the quality standards that were set. Comparison of results across studies was not possible because training and testing data, model architecture and feature inputs varied across studies. The limitations that were identified for comparison across studies included: no indication of application for the work, data were selected for training and testing models in ways that could lead to biases, studies used different datasets and attempted to locate different symptom types, feature inputs were reported in different ways and there was no standard way of reporting performance statistics. Recommendations were made about how these problems can be addressed in future work on this topic

SD-TEAM: Interactive Learning, Self-Evaluation and Multimodal Technologies for Multidomain Spoken Dialog Systems

Speech technology currently supports the development of dialogue systems that function in limited domains for which they were trained and in conditions for which they were designed, that is, specific acoustic conditions, speakers etc. The international scientific community has made significant efforts in exploring methods for adaptation to different acoustic contexts, tasks and types of user. However, further work is needed to produce multimodal spoken dialogue systems capable of exploiting interactivity to learn online in order to improve their performance. The goal is to produce flexible and dynamic multimodal, interactive systems based on spoken communication, capable of detecting automatically their operating conditions and especially of learning from user interactions and experience through evaluating their own performance. Such ?living? systems will evolve continuously and without supervision until user satisfaction is achieved. Special attention will be paid to those groups of users for which adaptation and personalisation is essential: amongst others, people with disabilities which lead to communication difficulties (hearing loss, dysfluent speech, ...), mobility problems and non-native users. In this context, the SD-TEAM Project aims to advance the development of technologies for interactive learning and evaluation. In addition, it will develop flexible distributed architectures that allow synergistic interaction between processing modules from a variety of dialogue systems designed for distinct tasks, user groups, acoustic conditions, etc. These technologies will be demonstrated via multimodal dialogue systems to access to services from home and to access to unstructured information, based on the multi-domain systems developed in the previous project TIN2005-08660-C04

Identifying brain and behavioral predictors of language and reading development in typically developing and at-risk children

Learning to read is essential, yet many children do not receive a diagnosis of developmental dyslexia (DD) until second or third grade. The aim of this dissertation is to identify brain and behavioral predictors of DD so that diagnosis and intervention can begin sooner. Experiment 1 examines infants with familial risk of DD longitudinally. Infants completed non-sedated diffusion-weighted imaging (DWI) between 4- and 18-months of age and cognitive-linguistic assessment at four years. Infants at- risk of DD displayed reduced fractional anisotropy (FA) and increased radial diffusivity (RD) in the left arcuate fasciculus (AF) and reduced FA and axial diffusivity (AD) of the splenium of the corpus callosum (CC) compared to peers without a familial risk. Both the left AF and CC are implicated in reading and reading-related tasks, and atypicalities have been observed in children and adults with DD. RD may reflect myelination and AD is thought to indicate pathway complexity suggesting infants at-risk of DD exhibit reduced myelination of the left AF and reduced pathway complexity of the CC at or shortly after birth. The left AF assessed in infancy predicted four-year-old vocabulary skills while the CC predicted four-year-old print knowledge. Experiment 2 explores the association between white matter microstructure of the left AF and CC and neural activity during phonological processing assessed via functional magnetic resonance imaging (fMRI). Preschoolers with and without a familial risk of DD completed DWI and an fMRI alliteration task where children indicated via button-press whether two words started with the same initial sound. Positive correlations were observed between FA of the left AF and CC and neural activity in the left medial temporal gyrus and the left lingual gyrus, two regions implicated in phonological processing. Experiment 3 examines whether white matter microstructure of the CC assessed in preschool is associated with school-age reading fluency in children with and without a familial risk of DD. Similar to children and adults with DD, preschoolers with a familial risk of DD displayed greater FA and AD of the CC compared to controls. Furthermore, AD of the CC predicted school-age reading fluency.2018-12-03T00:00:00

Bilingual Visual Memory The effects of cognates and hesitations on memory for visual scenes in proficient Norwegian-English bilinguals

Master´s thesis in English (EN501)

Diaphragmatic Breathing for Acquired Neurogenic Stuttering

Stuttering is a fluency disorder that consists of repetitions, prolongations, and blocks. When stuttering occurs in childhood and persists throughout the lifetime, it is considered a developmental stutter (DS) which is the most common form of stuttering. Adults who sustain a stroke, TBI, or other type of brain injury can experience acquired neurogenic stuttering (ANS) which is the acute onset of stuttering after a brain injury with no history of stuttering prior. While there are a variety of treatments available for DS, there are significantly less available for ANS. Diaphragmatic breathing is a common treatment for DS but there is no data as to whether it is also effective for ANS populations. This single subject case study aims to determine if diaphragmatic deep breathing can improve fluency in adults with ANS. The participant in this study completed a one-month therapy process that included a home program and an in-session therapy program. Results indicated that the participant experienced a decrease in primary stuttering behaviors although more research is required to determine if these findings would be consistent among a larger sample size