Cluster analysis and visualisation of electronic health records data to identify undiagnosed patients with rare genetic diseases.

Rare genetic diseases affect 5-8% of the population but are often undiagnosed or misdiagnosed. Electronic health records (EHR) contain large amounts of data, which provide opportunities for analysing and mining. Data mining, in the form of cluster analysis and visualisation, was performed on a database containing deidentified health records of 1.

Improving Text-Independent Forced Alignment to Support Speech-Language Pathologists with Phonetic Transcription.

: Phonetic transcription is crucial in diagnosing speech sound disorders (SSDs) but is susceptible to transcriber experience and perceptual bias. Current forced alignment (FA) tools, which annotate audio files to determine spoken content and its placement, often require manual transcription, limiting their effectiveness. : We introduce a novel, text-independent forced alignment model that autonomously recognises individual phonemes and their boundaries, addressing these limitations.

A Practical Framework for Delivering Strength-Based Technology Clubs for Autistic Adolescents.

Autistic individuals experience poor vocational outcomes internationally. Transition planning and interventions during adolescence may assist in improving outcomes in adulthood. Strength-based technology clubs show promise in improving outcomes for autistic adolescents by developing skills specific to the Information and Communication Technology industry, and fostering positive traits, such as self-determination.

"He Sees his Autism as a Strength, Not a Deficit Now": A Repeated Cross-Sectional Study Investigating the Impact of Strengths-Based Programs on Autistic Adolescents.

Recent studies have reported that strengths-based programs, leveraging autistic adolescents' abilities and interests, could improve their skills and facilitate social engagement. However, little is known about the long-term impact of strengths-based approaches. This study aimed to explore the long-term outcomes of community strengths-based programs designed to support autistic adolescents in developing interests and skills in Science, Technology, Engineering, Arts, and Mathematics (STEAM) and the factors influencing their participation in these programs.

Altered task induced functional brain networks and small-world properties in autism.

Introduction: Facial emotion recognition (FER) requires the integration of multi-dimensional information across various brain regions. Autistic individuals commonly experience difficulties in FER, a phenomenon often attributed to differences in brain connectivity. The nature of task-induced functional brain networks could provide insight into the neuromechanisms underlying FER difficulties in autism, however, to date, these mechanisms remain poorly understood.

Strength-based technology clubs for autistic adolescents: A feasibility study.

Strength-based technology clubs are thought to help autistic adolescents transition to adulthood by developing positive traits, enhancing technical skills, and creating supportive networks. A newly developed strength-based technology club was delivered to 25 autistic adolescents, with the feasibility tested via qualitative and quantitative methods. Autistic adolescents, their parents, and club facilitators participated in separate focus groups, with audio data transcribed and thematically analyzed.

Identifying the Essential Components of Strength-based Technology Clubs for Adolescents with Autism Spectrum Disorder.

: Strength-based technology clubs for adolescents with autism spectrum disorder (ASD) have become increasingly popular; however, they remain poorly described in the literature. Before the impact and benefit of strength-based technology clubs can be measured, consistency in their design and delivery must be established. This study aimed to identify the essential components of strength-based technology clubs by exploring context, mechanisms, and outcomes of existing strength-based technology clubs.

Robotic Assessments of Proprioception and the Impact of Age.

We examined different methods of robotic proprioception assessment and provided comparison with the wrist position sense test gold standard assessment. The aim is to determine which of the assessments are the most reliable and would be acceptable for clinical evaluation. 31 children between six and sixteen participated in a pilot assessment trial and completed all four of the assessments.

Evaluating the effectiveness of an autism-specific public transport app for individuals on the autism spectrum: a pilot study.

Purpose: Autism is characterised by differences in social skills, limited communication abilities and repetitive behaviour, which often result in increased reliance on other people. Transportation is but one task that is commonly burdened on family members. Public transport is an inexpensive and widely available form of travel which facilitates independence.

"We Can See a Bright Future": Parents' Perceptions of the Outcomes of Participating in a Strengths-Based Program for Adolescents with Autism Spectrum Disorder.

Autistic individuals often possess strengths and abilities. Despite these strengths, employment outcomes for this population remain low. Strengths-based programs, focusing on developing skills in a supportive environment, may enable autistic adolescents to more effectively prepare for the workforce.

Effect of Visual Information on Postural Control in Children with Autism Spectrum Disorder.

Visual information is crucial for postural control. Visual processing in children with autism spectrum disorder (ASD) was hypothesized to be less efficient and thus they would display a less stable standing posture than typically developing children. The present study compared the static standing responses and attentional demands of 15 children with ASD and 18 control participants in conditions of eyes open and eyes closed.

Public transport planning tool for users on the autism spectrum: from concept to prototype.

Purpose: This research explored the challenges of public transport use for individuals on the autism spectrum. It, subsequently, proposed a mobile application solution, coproduced by individuals on the autism spectrum, to facilitate public transport use.

Methods: We, first, conducted a review of the literature to highlight the challenges people on the autism spectrum face when utilizing public transport.

Postural control adaptation to optic flow in children and adults with autism spectrum disorder.

Background: Sensory reweighting is important for humans to flexibly up-weigh and down-weigh sensory information in dynamic environments. There is an element of time involved in the sensory reweighting process. A longer time spent on sensory reweighting may increase the destabilizing effect of postural control.

Tracking Foot Drop Recovery Following Lumbar-Spine Surgery, Applying Multiclass Gait Classification Using Machine Learning Techniques.

The ability to accurately perform human gait evaluation is critical for orthopedic foot and ankle surgeons in tracking the recovery process of their patients. The assessment of gait in an objective and accurate manner can lead to improvement in diagnoses, treatments, and recovery. Currently, visual inspection is the most common clinical method for evaluating the gait, but this method can be subjective and inaccurate.

Classification of foot drop gait characteristic due to lumbar radiculopathy using machine learning algorithms.

Background: Recently, the study of walking gait has received significant attention due to the importance of identifying disorders relating to gait patterns. Characterisation and classification of different common gait disorders such as foot drop in an effective and accurate manner can lead to improved diagnosis, prognosis assessment, and treatment. However, currently visual inspection is the main clinical method to evaluate gait disorders, which is reliant on the subjectivity of the observer, leading to inaccuracies.

"I'm Destined to Ace This": Work Experience Placement During High School for Individuals with Autism Spectrum Disorder.

As postsecondary outcomes of adolescents with Autism Spectrum Disorder (ASD) are poor, there is a need for programs that aim to improve employment and education outcomes. This study employed a grounded theory approach to explore the key factors contributing to successful work placement experience and the perceived benefits of these placements from the perspective of adolescents with ASD (n = 5), their parents (n = 6) and employers (n = 6). Key factors contributing to success include preparing for the workplace, harnessing strengths and interests and developing work related skills, while the benefits include insight into the workplace, recognising and realising potential, working as a team and the pathway ahead.

Effect of Optic Flow on Postural Control in Children and Adults with Autism Spectrum Disorder.

Individuals with autism spectrum disorder (ASD) have been associated with sensorimotor difficulties, commonly presented by poor postural control. Postural control is necessary for all motor behaviors. However, findings concerning the effect of visual motion on postural control and the age progression of postural control in individuals with ASD are inconsistent.

Effect of Visual Information on Postural Control in Adults with Autism Spectrum Disorder.

Sensory processing difficulties affect the development of sensorimotor skills in individuals with autism spectrum disorder (ASD). However, the effect of sensory information on postural control is unclear in the ASD adult population. The present study examined the effect of visual information on postural control as well as the attentional demands associated with postural control in fourteen adults with ASD and seventeen typically developed adults.

Postural and Cortical Responses Following Visual Occlusion in Adults With and Without ASD.

Autism is associated with differences in sensory processing and motor coordination. Evidence from electroencephalography suggests individual perturbation evoked response (PER) components represent specific aspects of postural disturbance processing; P1 reflects the detection and N1 reflects the evaluation of postural instability. Despite the importance of these cortical responses to postural control, PERs to a perturbation in adults with autism spectrum disorder (ASD) have yet to be reported.

Mechanisms of facial emotion recognition in autism spectrum disorders: Insights from eye tracking and electroencephalography.

While behavioural difficulties in facial emotion recognition (FER) have been observed in individuals with Autism Spectrum Disorder (ASD), behavioural studies alone are not suited to elucidate the specific nature of FER challenges in ASD. Eye tracking (ET) and electroencephalography (EEG) provide insights in to the attentional and neurological correlates of performance, and may therefore provide insight in to the mechanisms underpinning FER in ASD. Given that these processes develop over the course of the developmental trajectory, there is a need to synthesise findings in regard to the developmental stages to determine how the maturation of these systems may impact FER in ASD.

Postural and cortical responses following visual occlusion in standing and sitting tasks.

Perturbation-evoked responses (PERs) to a physical perturbation of postural stability have been detected using electroencephalography (EEG). Components of these responses are hypothesized to demonstrate the detection (P1) and evaluation (N1) of postural instability. Despite the important contribution of the visual system to postural control, PERs to a visual perturbation of posture have yet to be reported.

Single-trial event-related potential extraction through one-unit ICA-with-reference.

Objective: In recent years, ICA has been one of the more popular methods for extracting event-related potential (ERP) at the single-trial level. It is a blind source separation technique that allows the extraction of an ERP without making strong assumptions on the temporal and spatial characteristics of an ERP. However, the problem with traditional ICA is that the extraction is not direct and is time-consuming due to the need for source selection processing.

Visual transparent & visual occlusion: An EEG and COP study.

Electroencephalography (EEG) and centre of pressure (COP) data were recorded in young adults for 60 seconds during standing in visual transparent (VT) and visual occlusion (VO) conditions. In both of these conditions, participants wore VO liquid crystal spectacles which allowed the experimenter to accurately control visual information being presented or occluded to the participant. Alpha band (8-13 Hz) revealed significant differences in channel-averaged power spectrum in these two conditions, but not theta band (4-8 Hz) and beta band (13-30 Hz).

Belongingness in Early Secondary School: Key Factors that Primary and Secondary Schools Need to Consider.

It is unknown if, and how, students redefine their sense of school belongingness after negotiating the transition to secondary school. The current study used longitudinal data from 266 students with, and without, disabilities who negotiated the transition from 52 primary schools to 152 secondary schools. The study presents the 13 most significant personal student and contextual factors associated with belongingness in the first year of secondary school.