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Natural Language Sampling (NLS) offers clear potential for communication and language assessment, where other data might be difficult to interpret. We leveraged existing primary data for 18-month-olds showing early signs of autism, to examine the reliability and concurrent construct validity of NLS-derived measures coded from video-of child language, parent linguistic input, and dyadic balance of communicative interaction-against standardised assessment scores. Using Systematic Analysis of Language Transcripts (SALT) software and coding conventions, masked coders achieved good-to-excellent inter-rater agreement across all measures.
A diagnosis of an autism spectrum condition (autism) provides limited information regarding an individual’s level of functioning, information key in determining support and funding needs.
Our previous cross-sectional investigation (Chetcuti et al., 2020) showed that infants with autism traits could be divided into distinct subgroups based on temperament. This longitudinal study builds on this existing work by exploring the continuity of temperament subgroup classifications and their associations with behavioral/clinical phenotypic features from infancy to toddlerhood.
With increasing demands for health, disability and education services, innovative approaches can help distribute limited resources according to need. Despite an increased focus on support needs within the clinical pathway and policy landscape, the body of research knowledge on this topic is at a relatively early stage. However, there appears to be a sense of unmet support needs and dissatisfaction with the provision of required support following an autism diagnosis amongst caregivers of young people on the spectrum.
The growing global prevalence of autism spectrum disorder is associated with increasing costs for support services. Ascertaining the effects of a successful preemptive intervention for infants showing early behavioral signs of autism on human services budgets is highly policy relevant.
The Repetitive Behaviours Questionnaire for Adults (RBQ-2A) measures two factors of restricted and repetitive behaviours (RRBs) associated with autism. However, the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) provides four criteria for RRBs: repetitive motor behaviours, insistence on sameness, restricted interests, and interest in sensory aspects of the environment (or atypical sensitivity).
Approximately 8% of all children experience developmental and mental health conditions. Similarities in characteristics across neurodevelopmental conditions-such as difficulties in communication and language, social interaction, motor coordination, attention, activity regulation, behavior, mood, and sleep-make it challenging to attribute these characteristics exclusively to specific diagnoses and assessments. The purpose of this study was to identify symptomatic domains across neurodevelopmental conditions in children and to explore dimension reduction for transdiagnostic assessment.
Gathering Autistic young people's testimony is critical for understanding their lived experience of education and designing settings in which these students can thrive. Despite increasing knowledge in this field, we lack perspectives from a broad range of Autistic students which necessarily limits our ability to build inclusive, supportive environments for all. This study explored the educational experiences of preschool and school-aged Autistic students from diverse age groups, backgrounds, and educational settings.
Eye-tracking could expedite autism identification/diagnosis through standardisation and objectivity. We tested whether Gazefinder autism assessment, with Classification Algorithm derived from gaze fixation durations, would have good accuracy (area under the curve [AUC] ≥ 0.80) to differentiate 2-4-year-old autistic from non-autistic children.
Preterm birth is associated with a 3.3-fold increased likelihood of autism diagnosis, with lower gestational age conferring higher likelihood. In Australia, autism is typically diagnosed at around age four, potentially missing the optimal neuroplasticity window before age two. The Social Attention and Communication Surveillance-Revised (SACS-R) tool identifies early autism signs in children aged 11-30 months, enabling pre-emptive intervention.