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Effect of Preemptive Intervention on Developmental Outcomes Among Infants Showing Early Signs of Autism: A Randomized Clinical Trial of Outcomes to Diagnosis

Intervention for individuals with autism spectrum disorder (ASD) typically commences after diagnosis. No trial of an intervention administered to infants before diagnosis has shown an effect on diagnostic outcomes to date.

Genetic counseling as preventive intervention: toward individual specification of transgenerational autism risk

Although autism spectrum disorders (ASD) are among the most heritable of all neuropsychiatric syndromes, most affected children are born to unaffected parents. Recently, we reported an average increase of 3-5% over general population risk of ASD among offspring of adults who have first-degree relatives with ASD in a large epidemiologic family sample.

Investigating associations between birth order and autism diagnostic phenotypes

Birth order effects have been linked to variability in intelligence, educational attainment and sexual orientation. First- and later-born children have been linked to an increased likelihood of an Autism Spectrum Disorder (ASD) diagnosis, with a smaller body of evidence implicating decreases in cognitive functioning with increased birth order.

Evaluation of the Acceptability and Feasibility of the Social Attention and Communication Surveillance-Revised (SACS-R) Tool for Early Identification of Autism in Preterm Infants

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.

“We Need Community-Centred, Strongly Ethical Genetic Research”: A Qualitative Investigation of Community Attitudes Toward Autism Genetics

Autism genetics has historically attracted a substantial proportion of autism research funding internationally. However, more recently, several controversies centered on ethical conduct and lack of community consultation have emerged. This has triggered Autistic-led protests for the functional and meaningful inclusion of Autistic voices in the research design.

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Characterizing the Nature of Alexithymia in Autistic Adults: Validation of the Perth Alexithymia Questionnaire

Alexithymia—a trait characterized by difficulties in emotion processing—is of high interest in the autism field. However, the lack of validated alexithymia measures for autistic individuals limits progress. This study aimed to address this gap by examining the psychometric properties of the Perth Alexithymia Questionnaire (PAQ) across autistic and non-autistic samples. Using the PAQ, we investigated how alexithymia manifests in autistic individuals and its links with poor mental health outcomes (anxiety).

Critical Appraisal of Systematic Reviews Assessing Gut Microbiota and Effect of Probiotic Supplementation in Children with ASD—An Umbrella Review

Given the significance of gut microbiota in autism spectrum disorder (ASD), we aimed to assess the quality of systematic reviews (SRs) of studies assessing gut microbiota and effects of probiotic supplementation in children with ASD. PubMed, EMBASE, PsycINFO, Medline, and Cochrane databases were searched from inception to November 2024. 

Parsing the heterogeneity of social motivation in autism

Social motivation is posited as a key factor in the expression of the autism phenotype. However, lack of precision in both conceptualization and measurement has impeded a thorough understanding of its diverse presentation and associated outcomes. This study addresses this gap by identifying subgroups of autism characterized by deficits in distinct facets of social motivation, relative to normative benchmarks.

Multigenerational Familial and Environmental Risk for Autism (MINERvA) Network

The MINERvA Network will allow more accurate and precise determination of the contributions of familial and environmental factors to the etiology of autism.