View clinical trials related to Autistic Disorder.
Filter by:This pilot study is designed to investigate the clinical outcomes and neural mechanisms of emotion regulation behavioral treatment , in a small sample of young adults diagnosed with autism spectrum disorder.
Autism spectrum disorders (ASD) is a neurodevelopmental disorder characterized by persistent deficits in social communication and social interaction, and the presence of restricted, repetitive behavior and interests. Their social relationships with peers may remain a challenge or even worsen for individuals with ASD throughout the school years and beyond. Adolescence may be a particularly difficult developmental period, as they may have greater motivation or desire to engage with peers but also have greater awareness of their social disability. Adolescents with ASD are reported to experience greater loneliness and mood disturbances, and have poorer friendship quality and social network status than their typically developing peers. Moreover, a growing body of literature indicating that students with ASD have increased risk at all kinds of bullying involvement. These findings underscore the importance of providing social skills training. One of the empirically supported intervention program that targets adolescents with ASD is the Program for the Education and Enrichment of Relational Skills (PEERS®). This is a parent-assisted, manualized social skills training program that addresses crucial areas of social functioning for adolescents. Psycho-education and cognitive-behavioral therapy techniques are employed to help adolescents develop ecologically valid skills for making and maintaining friendships. Moreover, caregiver attendance at the same time in the caregiver group was a mandatory component to enhance the child/s generalization of social skills. Adolescents with ASD and normal IQ will be recruit to attend the 14-week PEERS® group training together with a parent. The participants will be stratified by gender and randomized to a treatment (TX) group or delayed treatment control (DTC) group. A team member uninvolved in the program made the random allocation with random digit generated by computer. This study investigated the acceptability, feasibility and effectiveness of the Taiwanese adolescent PEERS® program.
Most people with autism spectrum disorder (ASD) present at least one form of challenging behavior (CB). Self-injurious, aggressive, and disruptive CBs linked with social interaction, community-based service exclusion, and a life quality reduction for people with ASD, their caregivers, and health professionals. The current study has three objectives: 1) to assess the differences in the physiological reaction of high-functioning adults with ASD and typically developed peers, using bio-signal measurements such as heart rate derived from wearable Smart Shirt (SS), 2) to learn which physiological parameters can best predict the imminent onset of a CB, and 3) to develop a system able to predict the incoming occurrence of a CB in real-time and inform the caregiver through an alert notification sent on a smartphone application. Methods and analysis: comparison between physiological parameters will carry out with two groups of 20 participants with and without ASD. Each participant will be asked to watch two five-minute videos while wearing the SS: one showing relaxing images and the other impressive human body deformities. To identify the matching between the physiological parameters variation collected by the SS and the CBs, ten participants with ASD and aggressive or disruptive CBs will be recruited. Each of these participants will wear the SS for seven consecutive days during waking hours, performing their usual daily activities. During the same seven days, the caregivers who care for the participant will fill a behavioral diary with the participant's status, reporting the times of the day in which he is quiet, agitated and the occurrence of CBs. A learning algorithm capable of predicting immediate CBs occurrence based on physiological parameter variations will be developed together with an ad hoc smartphone application. If the algorithm detects the possibility of an incoming CB, a notification will be sent to the caregiver's smartphone to inform of the possible advent of a CB, therefore enabling the implementation of the selected intervention strategy. After developing the algorithm and related smartphone application, a system efficiency proof of concept (POC) will be carried out with one participant with ASD and CB for seven days in a special school setting with healthcare professionals and teachers. A focus group including health professionals will be conducted after the POC to identify the strengths and weaknesses of the developed system.
To understand the changes in the resting electroencephalogram (EEG) brain networks of children and adolescents with autistic spectrum disorder (ASD) induced by transcranial direct current stimulation (tDCS), we asked two questions. First: how can tDCS modulate the expression of neural network dynamics? Second: how can tDCS modulate functional connections at specific frequencies? We hypothesized that the tDCS mechanism results in increased cortical frequencies in the areas under the anode, which may reflect an increase in synaptic connectivity, and that this tDCS-related increase changes connection profiles at specific frequencies important for ASD, indicating improvement in symptoms. To verify this improvement, the researchers used the Autism Treatment Evaluation Checklist (ATEC) after an intervention, comparing baseline scores with post-treatment scores.
People with autistic spectrum disorder frequently present impaired motricity, or at least different motricity from neurotypical subjects (walking; postural balance; fine motor skills; motor control, etc.). Motor impairment can have impact on the performance and learning of simple tasks (bathing, dressing, writing, using tools, etc.), especially in children and teenagers. These last years, new therapeutics such as Virtual, Augmented and Mixed Reality technologies have developed. Their therapeutic interest has been identified in various pathologies like phobia. However, their influence on motor skills has been little studied. The first results obtained with disabled adults described a significant increase in walking speed after a 3-month Mixed Reality training.
The purpose of this pilot project is to evaluate the feasibility of a mentorship program for adolescents with autism spectrum disorder (ASD). Data will be collected from adolescents with ASD and their parents/guardians. Study findings will be used to inform further development of the mentoring program for individuals with ASD.
This is a multicenter longitudinal study that aims to validate a set of measures that were previously identified as promising candidate biomarkers and/or sensitive and reliable objective measures of social function in ASD for potential use in clinical trials. The confirmation study will repeat the data collection and analysis protocols from the original ABC-CT study. This confirmation study will recruit 200 ASD and 200 TD comparison participants who are 6-11 years old, matching the overall sample size but providing a larger normative reference sample and greater statistical power for group comparisons.
The objective is to evaluate the efficacy of an online learning module combined with high fidelity simulation-based training in improving medical assistants' and registered nurses' self-confidence and competence scores in taking vital signs in a child with Autism Spectrum Disorder in clinic. The study will explore the efficacy of high-fidelity simulation which has not been studied to date as a training modality for teaching healthcare workers about Autism Spectrum Disorder. The investigators will also evaluate patient encounter data to provide insight into trainees' transformation of knowledge into clinical practice. The hypothesis is that nurses and medical assistants who participate in an online learning module combined with simulation-based training will demonstrate improved self-confidence and competence scores in evaluating children with Autism.
Many children and youth with autism spectrum disorder have high levels of emotional and behavioural problems. Parents play a powerful role in supporting their children's well-being. Research also shows that certain factors (e.g., parent mental health, access to services) can affect autistic children's well-being in important ways. Despite this, autism services rarely ask about, or act upon, the factors that we know affect child and family well-being. We are addressing this problem by testing a program called the Family Check-Up within a large autism service. The Family Check-Up is a strengths-based, family-centred program aimed at improving child well-being by working with parents to identify their family's unique strengths and challenges, set goals for change, strengthen positive parenting, and connect to needed supports.
School-based behavioral approaches to managing challenging behaviors in children with ASD are limited by three key factors: 1) children with ASD often have difficulties communicating their emotions; 2) it is challenging to implement evidence-based, personalized strategies for individual children, and; 3) it is difficult for teachers to track which strategies are successful for individual children. The investigators' personalized mobile-health emotion regulation application (m-health app) will pair heart rate tracking with digital tools to help reduce challenging behavior by supporting stress detection, reminding teachers of specific behavioral strategies and helping teachers to track progress.