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Prevalence of Epilepsy and Young-Onset Dementia in Adults with Intellectual Disability: Contrasting Down Syndrome and Autism Diagnoses

This large-scale cross-sectional study analyzed Centers for Medicare and Medicaid Services data from over 847,000 adults with intellectual disability (ages 30-64) and compared them to over 1 million general population controls to examine prevalence of epilepsy and young-onset Alzheimer's disease and related dementias. Results showed significantly higher prevalence of both conditions and their comorbidity in the ID population, with autism spectrum disorder associated with greatest epilepsy risk and Down syndrome with greatest dementia risk.

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Alterations of gut microbiota in Down syndrome and their association with Alzheimer's disease

This study examined fecal microbiota composition and plasma Alzheimer's biomarkers in 58 adults with Down syndrome compared to controls, finding that DS individuals show reduced abundance of beneficial Roseburia bacteria and altered microbial profiles resembling those in Alzheimer's patients. The findings suggest a potential link between microbiota changes and cognitive decline in Down syndrome, contributing to understanding of why people with DS have higher Alzheimer's risk.

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Comparative Analysis of Developmental Disability Definitions and Their Policy Outcomes

This cross-sectional study examines how four different definitions of developmental disability produce varying population estimates and service utilization patterns using US national survey data and residential facility records. Understanding these definitional differences is essential for accurate prevalence estimation and effective policy analysis in planning developmental disability services.

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Comparative Evaluation of ChatGPT, Gemini, and DeepSeek for ADHD-Related Health Information

This study systematically compared how three large language models (ChatGPT GPT-4o, Gemini, and DeepSeek R1) respond to 22 commonly asked ADHD questions across four domains, finding all models achieved high accuracy (87-91%) as independently verified by psychiatry specialists. Reproducibility was strong across models, with ChatGPT showing slightly superior performance in treatment domains while Gemini and DeepSeek excelled in basic knowledge and diagnosis.