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Unveiling the influences of prenatal and maternal factors on the journey of an autistic child.
Front Psychiatry
December 2024
Department of Public Health and Community Medicine, Faculty of Medicine, Zagazig University, Zagazig, Egypt.
Background: Autism Spectrum Disorder (ASD) is a complex lifelong neurodevelopmental disorder with a high and increasing global prevalence. Although the precise causes are unknown, both genetic and environmental factors, including maternal ones during pregnancy, significantly influence its development. Therefore, this study endeavors to explore the potential causes of autism, including maternal and paternal prenatal risk factors, as well as antenatal and natal maternal risk factors, and their associations with the severity of ASD in mothers of children with ASD, from February to May 2024.
View Article and Find Full Text PDFMeasuring habituation to stimuli: The Italian version of the Sensory Habituation Questionnaire.
PLoS One
December 2024
Department of Psychology, Educational Sciences and Human Movement, University of Palermo, Palermo, Italy.
Sensory habituation allows us to decrease responsiveness to repetitive or prolonged stimuli over time, making them easy to filter out and not interfere with ongoing activities. As such, habituation could be an important aspect to be evaluated within a sensory and cognitive assessment. The main aim of the present study was to validate an Italian version of the Sensory Habituation Questionnaire (S-Hab-Q), a self-report tool assessing how long an adult individual takes to adapt to daily sensory stimuli.
View Article and Find Full Text PDFThe Screening Visual Complaints questionnaire-acquired brain injury: Development and evaluation of psychometric properties in a community sample.
PLoS One
December 2024
Faculty of Behavioural and Social Sciences, Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, The Netherlands.
Purpose: Visual complaints are a common consequence of acquired brain injury (ABI). Yet, they may be overlooked in clinical practice. The present study aims to develop a screening instrument for assessing visual complaints in individuals with ABI and evaluate its psychometrics properties in a community sample.
View Article and Find Full Text PDFRisk assessment and automatic identification of autistic children based on appearance.
Sci Rep
November 2024
The College of Computer and Information Science, Chongqing Normal University, Chongqing, 401331, China.
Article Synopsis
- The study proposes a new method for diagnosing Autism Spectrum Disorder (ASD) in children that relies on their appearance rather than traditional subjective assessments.
- A specialized social interaction scenario and a dataset of 187 children were created, using computer vision techniques to analyze factors like facial features and emotional responses.
- Results showed that a machine learning model, particularly the Bayes classifier, achieved an impressive accuracy of 94.1%, indicating that visual appearance features can effectively assist in diagnosing ASD.
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