Publications by authors named "Da Yea Song"

Article Synopsis
  • Whole-genome sequencing (WGS) of Korean autism families reveals that autistic females have a higher genetic burden than males, indicating a higher liability threshold for females compared to males across different ancestries.
  • The study analyzes data from a large sample of Korean individuals and compares it with European ancestry cohorts, finding that sex differences in genetic burden and autism symptoms vary significantly.
  • Results show that while females carry more damaging genetic variants, male siblings of autistic females display more severe social communication issues, highlighting the complexity of autism's genetic factors and the influence of sex on autistic traits.
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Aim: Short tandem repeats (STRs) are repetitive DNA sequences and highly mutable in various human disorders. While the involvement of STRs in various genetic disorders has been extensively studied, their role in autism spectrum disorder (ASD) remains largely unexplored. In this study, we aimed to investigate genetic association of STR expansions with ASD using whole genome sequencing (WGS) and identify risk loci associated with ASD phenotypes.

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Predictive modeling strategies are increasingly studied as a means to overcome clinical bottlenecks in the diagnostic classification of autism spectrum disorder. However, while some findings are promising in the light of diagnostic marker research, many of these approaches lack the scalability for adequate and effective translation to everyday clinical practice. In this study, our aim was to explore the use of objective computer vision video analysis of real-world autism diagnostic interviews in a clinical sample of children and young individuals in the transition to adulthood to predict diagnosis.

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Objective: Sibling relationships in early childhood can have a positive impact on children's social interaction and communication skills. Similarly, autistic children can benefit from interactions with their siblings, who can serve as readily available partners for social interaction. However, there is a lack of research on the effects of siblings based on specific characteristics of the sibling.

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How non-autistic people think about autistic people impacts autistic people negatively. Many studies developed trainings to reduce autism stigma. The existing trainings vary a lot in terms of study design, content, and reported effectiveness.

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Background: The frequency, clinical characteristics, and associated symptoms of comorbid tic disorders in individuals with autism spectrum disorder (ASD) remain unclear.

Methods: We included subsets of individuals from a larger genetic study who were diagnosed with ASD (n = 679; age: 4-18 years) and completed the Yale Global Tic Severity Scale (YGTSS) questionnaire. Based on the YGTSS score, the individuals were divided into two groups: ASD only (n = 554) and ASD with tics (n = 125).

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Executive functioning (EF) is a cognitive process used to perform various daily activities throughout one's lifespan. Autistic adults without intellectual disabilities (ID) also experience difficulties with EF, which is closely associated with adaptive behaviors. For this reason, it is important to improve adaptive behaviors through enhanced use of EF for autistic adults to transition into adulthood successfully.

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Objectives: Regression, while not a core symptom of autism spectrum disorder (ASD), has been suggested to be a distinct subtype by previous studies. Therefore, this study aimed to explore the prevalence and clinical differences between those with and without regression in children with ASD.

Methods: This study includes data from toddlers and young children aged 2-7 years acquired from other projects at Seoul National University Bundang Hospital.

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This systematic review includes a narrative synthesis and meta-analysis of research on the associations between primarily non-autistic people's characteristics and their attitudes toward autistic people. Of 47 studies included in the narrative synthesis, White undergraduate students were surveyed most frequently. Demographic characteristics were the factors most frequently tested for associations with attitudes, followed by contact-related factors (i.

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Article Synopsis
  • The study analyzed the validity and reliability of the Korean version of the Autism Diagnostic Observation Schedule-2 (K-ADOS-2) across various age groups, focusing on older children and adults, involving 2,158 participants.
  • Results showed that all K-ADOS-2 modules provided strong sensitivity, specificity, and agreement with existing diagnostic tools, confirming its effectiveness in diagnosing autism spectrum disorder (ASD) in South Korea.
  • Limitations included potential bias due to clinical diagnoses not being independent from K-ADOS-2 scores and uneven participant distribution across modules, suggesting the need for further research on the tool’s effectiveness in identifying specific behaviors.
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Objectives: Restricted and repetitive behaviors (RRBs) are a core symptom in the diagnosis of autism spectrum disorder (ASD). The complexity of behavioral patterns has called for the creation of phenotypically homogeneous subgroups among individuals with ASD. The purpose of this study was 1) to investigate the different types of RRBs and 2) to explore whether subgroups created by RRBs would show unique levels of functioning in toddlers and young children with ASD.

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Purpose: Autism Spectrum Disorder (ASD) is diagnosed through observation or interview assessments, which is time-consuming, subjective, and with questionable validity and reliability. Thus, we aimed to evaluate the role of machine learning (ML) with neuroimaging data to provide a reliable classification of ASD.

Methods: A systematic search of PubMed, Scopus, and Embase was conducted to identify relevant publications.

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Objective: Adults with autism spectrum disorders (ASD) experience significant difficulties with executive functioning (EF) and related adaptive skills, yet the lack of interventions in South Korea targeting these areas has resulted in a heightened need to develop an evidence- based program. Therefore, we developed a novel intervention aiming to enhance everyday EF and daily adaptive skills in adults with high-functioning ASD and conducted a pilot study to evaluate the validity and feasibility of the program.

Methods: A behavioral intervention of 10-weekly sessions was developed based on literature searches and focus group interviews.

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This study validates behavior development screening for toddlers (BeDevel), which utilizes a combination of short caregiver interviews (BeDevel-I) and semistructured play observations (BeDevel-P). The data of 431 toddlers (male 66.2%; mean age (SD) = 29.

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Objective: This study aimed to examine the validity of the Korean version of the Autism Diagnostic Interview-Revised (K-ADI-R) and determine its efficacy in identifying individuals with autism spectrum disorder (ASD).

Methods: Data were pooled from several past and ongoing studies as well as clinical records acquired at Seoul National University Bundang Hospital from 2008 to 2017. The K-ADI-R were administered and scored by trained research reliable examiners.

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Objective: This study examined how state and trait anxiety of adolescents with autism spectrum disorders (ASD) are associated with their demographic characteristics, repetitive and restricted behaviors (RRBs), and internalizing and externalizing problem behaviors.

Methods: A total of 96 participants with ASD (mean age=14.30 years; 91 males) completed a battery of tests including the State/Trait Anxiety Inventory (STAI), the Autism Diagnostic Interview-Revised, the Social Responsiveness Scale (SRS), and a cognitive test measuring intelligence quotient (IQ).

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Objective: The purpose of this study was to examine the visuospatial processing abilities of children with autism spectrum disorder (ASD) using the Rey Osterrieth Complex Figure (ROCF).

Methods: One-hundred thirty-four children with ASD [mean age (MA)=113.56 months], 150 siblings of children with ASD (MA= 111.

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Objectives: The detection of autism spectrum disorder (ASD) is based on behavioral observations. To build a more objective datadriven method for screening and diagnosing ASD, many studies have attempted to incorporate artificial intelligence (AI) technologies. Therefore, the purpose of this literature review is to summarize the studies that used AI in the assessment process and examine whether other behavioral data could potentially be used to distinguish ASD characteristics.

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