Up till now, research evidence on the mathematical abilities of children with autism spectrum disorder (ASD) has been scarce and provided mixed results. The current study examined the predictive value of five early numerical competencies for four domains of mathematics in first grade. Thirty-three high-functioning children with ASD were followed up from preschool to first grade and compared with 54 typically developing children, as well as with normed samples in first grade. Five early numerical competencies were tested in preschool (5-6 years): verbal subitizing, counting, magnitude comparison, estimation, and arithmetic operations. Four domains of mathematics were used as outcome variables in first grade (6-7 years): procedural calculation, number fact retrieval, word/language problems, and time-related competences. Children with ASD showed similar early numerical competencies at preschool age as typically developing children. Moreover, they scored average on number fact retrieval and time-related competences and higher on procedural calculation and word/language problems compared to the normed population in first grade. When predicting first grade mathematics performance in children with ASD, both verbal subitizing and counting seemed to be important to evaluate at preschool age. Verbal subitizing had a higher predictive value in children with ASD than in typically developing children. Whereas verbal subitizing was predictive for procedural calculation, number fact retrieval, and word/language problems, counting was predictive for procedural calculation and, to a lesser extent, number fact retrieval. Implications and directions for future research are discussed.
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http://dx.doi.org/10.1016/j.ridd.2014.07.012 | DOI Listing |
Front Child Adolesc Psychiatry
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Bronx-Lebanon Hospital Center, New York, NY, United States.
Background: Autism spectrum disorder is a neurodevelopmental condition characterized by persistent challenges in social communication and restricted, repetitive behaviors. Emotion recognition deficits are a core feature of ASD, impairing social functioning and quality of life. This meta-analysis evaluates emotion recognition accuracy and response time in individuals with autism spectrum disorder compared to neurotypical individuals and those with other neurodevelopmental disorders.
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Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan.
This study introduces a novel classification method to distinguish children with autism from typically developing children. We recruited 50 school-age children in Taiwan, including 44 boys and 6 girls aged 6 to 12 years, and asked them to draw patterns from a visual-motor integration test to collect data and train deep learning classification models. Ensemble learning was adopted to significantly improve the classification accuracy to 0.
View Article and Find Full Text PDFJ 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.
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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.
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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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