The learning-style theory of Autism Spectrum Disorders (ASD) (Qian, Lipkin, Frontiers in Human Neuroscience 5:77, 2011) states that ASD individuals differ from neurotypics in the way they learn and store information about the environment and its structure. ASD would rather adopt a lookup-table strategy (LUT: memorizing each experience), while neurotypics would favor an interpolation style (INT: extracting regularities to generalize). In a series of visual behavioral tasks, we tested this hypothesis in 20 neurotypical and 20 ASD adults. ASD participants had difficulties using the INT style when instructions were hidden but not when instructions were revealed. Rather than an inability to use rules, ASD would be characterized by a disinclination to generalize and infer such rules.
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http://dx.doi.org/10.1007/s10803-018-3574-1 | DOI Listing |
J Racial Ethn Health Disparities
January 2025
School of Social Work, University of Pittsburgh, Pittsburgh, PA, USA.
Autism spectrum disorder (ASD) occurs within all racial, ethnic, and demographic pediatric groups. However, Black children with ASD are diagnosed at later stages of their development, and as a result may not receive or may age out of early intervention services, and demonstrate poorer long-term outcomes, across a range of factors. African American parent's perceptions regarding access to and utilization of healthcare services for their autistic children vary.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China.
Deep learning models have shown promise in diagnosing neurodevelopmental disorders (NDD) like ASD and ADHD. However, many models either use graph neural networks (GNN) to construct single-level brain functional networks (BFNs) or employ spatial convolution filtering for local information extraction from rs-fMRI data, often neglecting high-order features crucial for NDD classification. We introduce a Multi-view High-order Network (MHNet) to capture hierarchical and high-order features from multi-view BFNs derived from rs-fMRI data for NDD prediction.
View Article and Find Full Text PDFJ Neurosci Methods
January 2025
College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China; the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China. Electronic address:
Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by repetitive stereotypical behavior and social impairment. Early diagnosis is essential for developing a treatment plan for autism. Although multi-site data can expand the dataset to facilitate the process of data analysis, data heterogeneity between sites and the large amount of data make data analysis difficult.
View Article and Find Full Text PDFProg Neuropsychopharmacol Biol Psychiatry
January 2025
Department of Child and Adolescent Psychiatry, Selcuk University Faculty of Medicine Hospital, 42130 Konya, Turkey.
Autism spectrum disorder (ASD) is characterized by deficits in social interaction, restricted interests, and repetitive behaviors. Several genes, including synaptic proteins and environmental risk factors, play a role in the etiology of autism. We aimed to evaluate the relationship between neuroligin-1 (NLGN-1) and neuroligin-3 (NLGN-3) levels, which are neuronal cell adhesion molecules (CAMs), and inflammatory cytokine (IL-6, IL-8) levels with disease severity and symptom clusters and with each other in children with ASD.
View Article and Find Full Text PDFIntellect Dev Disabil
February 2025
Manisha Udhnani, The Ohio State University; and Nancy Raitano Lee, Drexel University.
Down syndrome (DS) and autism spectrum disorder (ASD) are two neurodevelopmental disorders characterized by impairments in language. Most studies do not consider the possible role sex differences may play in language profiles. Thus, the current study aimed to evaluate whether parent-reported structural and pragmatic language vary as a function of sex in youth with DS (n = 37), ASD (n = 106), and typical development (TD; n = 61).
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