1.Differential diagnosis of autism spectrum disorder and global developmental delay based on machine learning and Children Neuropsychological and Behavioral Scale.
Gang ZHOU ; Xiao-Bin ZHANG ; Xing-Da QU ; Mei-Fang LUO ; Qiong-Ling PENG ; Li-Ya MA ; Zhong ZHAO
Chinese Journal of Contemporary Pediatrics 2023;25(10):1028-1033
OBJECTIVES:
To investigate the efficacy and required indicators of Children Neuropsychological and Behavioral Scale-Revision 2016 (CNBS-R2016) in the differential diagnosis of autism spectrum disorder (ASD) and global developmental delay (GDD).
METHODS:
A total of 277 children with ASD and 415 children with GDD, aged 18-48 months, were enrolled as subjects. CNBS-R2016 was used to assess the developmental levels of six domains, i.e., gross motor, fine motor, adaptive ability, language, social behavior, and warning behavior, and a total of 13 indicators on intelligence age and developmental quotient (DQ) were obtained as the input features. Five commonly used machine learning classifiers were used for training to calculate the classification accuracy, sensitivity, and specificity of each classifier.
RESULTS:
DQ of warning behavior was selected as the first feature in all five classifiers, and the use of this indicator alone had a classification accuracy of 78.90%. When the DQ of warning behavior was used in combination with the intelligence age of warning behavior, gross motor, and language, it had the highest classification accuracy of 86.71%.
CONCLUSIONS
Machine learning combined with CNBS-R2016 can effectively distinguish children with ASD from those with GDD. The DQ of warning behavior plays an important role in machine learning, and its combination with other features can improve classification accuracy, providing a basis for the efficient and accurate differential diagnosis of ASD and GDD in clinical practice.
Child
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Humans
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Autism Spectrum Disorder/psychology*
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Diagnosis, Differential
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Machine Learning
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Social Behavior
2.Idiom Comprehension Deficits in High-Functioning Autism Spectrum Disorder Using a Korean Autism Social Language Task.
Seul Bee LEE ; Seung Ha SONG ; Ju Hyun HAM ; Dong Ho SONG ; Keun Ah CHEON
Yonsei Medical Journal 2015;56(6):1613-1618
PURPOSE: High-functioning autism spectrum disorder (ASD) involves pragmatic impairment of language skills. Among numerous tasks for assessing pragmatic linguistic skills, idioms are important to evaluating high-functioning ASD. Nevertheless, no assessment tool has been developed with specific consideration of Korean culture. Therefore, we designed the Korean Autism Social Language Task (KASLAT) to test idiom comprehension in ASD. The aim of the current study was to introduce this novel psychological tool and evaluate idiom comprehension deficits in high-functioning ASD. MATERIALS AND METHODS: The participants included 42 children, ages 6-11 years, who visited our child psychiatric clinic between April 2014 and May 2015. The ASD group comprised 16 children; the attention deficit hyperactivity disorder (ADHD) group consisted of 16 children. An additional 10 normal control children who had not been diagnosed with either disorder participated in this study. Idiom comprehension ability was assessed in these three groups using the KASLAT. RESULTS: Both ASD and ADHD groups had significantly lower scores on the matched and mismatched tasks, compared to the normal control children (matched tasks mean score: ASD 11.56, ADHD 11.56, normal control 14.30; mismatched tasks mean score: ASD 6.50, ADHD 4.31, normal control 11.30). However, no significant differences were found in scores of KASLAT between the ADHD and ASD groups. CONCLUSION: These findings suggest that children with ASD exhibit greater impairment in idiom comprehension, compared to normal control children. The KASLAT may be useful in evaluating idiom comprehension ability.
Autism Spectrum Disorder/*diagnosis/psychology
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Child
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*Comprehension
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Female
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Humans
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Language
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Language Development Disorders/*diagnosis/psychology
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Language Disorders/*psychology
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Language Tests/*standards
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Male
;
Reproducibility of Results
3.Is Oxytocin Application for Autism Spectrum Disorder Evidence-Based?.
Seung Yup LEE ; Ah Rah LEE ; Ram HWANGBO ; Juhee HAN ; Minha HONG ; Geon Ho BAHN
Experimental Neurobiology 2015;24(4):312-324
Autism spectrum disorder (ASD) is characterized by persistent deficits within two core symptom domains: social communication and restricted, repetitive behaviors. Although numerous studies have reported psychopharmacological treatment outcomes for the core symptom domains of ASD, there are not enough studies on fundamental treatments based on the etiological pathology of ASD. Studies on candidate medications related to the pathogenesis of ASD, such as naltrexone and secretin, were conducted, but the results were inconclusive. Oxytocin has been identified as having an important role in maternal behavior and attachment, and it has been recognized as a key factor in the social developmental deficit seen in ASD. Genetic studies have also identified associations between ASD and the oxytocin pathway. As ASD has its onset in infancy, parents are willing to try even experimental or unapproved treatments in an effort to avoid missing the critical period for diagnosis and treatment, which can place their child in an irreversible state. While therapeutic application of oxytocin for ASD is in its early stages, we have concluded that oxytocin would be a promising therapeutic substance via a thorough literature review focusing on the following: the relationship between oxytocin and sociality; single nucleotide polymorphisms as a biological marker of ASD; and validity verification of oxytocin treatment in humans. We also reviewed materials related to the mechanism of oxytocin action that may support its potential application in treating ASD.
Autistic Disorder*
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Child
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Autism Spectrum Disorder*
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Critical Period (Psychology)
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Diagnosis
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Humans
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Maternal Behavior
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Naltrexone
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Oxytocin*
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Parents
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Pathology
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Polymorphism, Single Nucleotide
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Secretin
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Social Change
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Biomarkers
4.Behavioral phenotypes of autism spectrum disorder patients and their parents.
Mingjing SITU ; Xiao HU ; Jia CAI ; Kuifang GUO ; Yi HUANG
Chinese Journal of Medical Genetics 2015;32(6):797-800
OBJECTIVETo explore the relationship between the behavior phenotypes of patients with autism spectrum disorder (ASD) and their parents through family study.
METHODSForty-five core families with ASD and 30 control families from Chengdu area were examined using Autism Spectrum Quotient (AQ). Descriptive statistical analysis, correlation analysis, and Logistic regression analysis were used to investigate the effect of various factors, especially genetic factors that may affect the pathogenesis of ASD.
RESULTSThe social skills factor and communication factor of the father's AQ scale, as well as the mother's age of childbearing and AQ social skills factor are related to whether children with ASD (R were 0.46, 0.39, 0.39 and 0.36, P<0.05). The communication factor of the parents' AQ and mother's attention to detail factor are related to whether children will show developmental anomaly before the age of 36 months (R were 0.55, 0.51 and 0.54, P<0.05). The social skill problems of parents and father's communication problems are risk factors for children with autism.
CONCLUSIONASD may be influenced by both genetic and environmental factors. The autistic behavior phenotype of parents is a risk factor for ASD and is associated with developmental anomalies of early childhood.
Adult ; Autism Spectrum Disorder ; diagnosis ; genetics ; psychology ; Child ; Child Behavior ; psychology ; Child, Preschool ; Communication ; Female ; Humans ; Infant ; Interviews as Topic ; Logistic Models ; Male ; Parents ; psychology ; Phenotype ; Social Behavior ; Surveys and Questionnaires