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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) = 29.11 (8.59) months; ASD, n = 201; developmental delay, n = 46; typically developing, n = 184), aged 18 ~ 42 months, were included in the validation of BeDevel. The best clinical estimate diagnosis, screening rate, validity, sensitivity, and reliability of BeDevel were determined based on data cross-sectionally collected using BeDevel and existing diagnostic/screening instruments: autism diagnostic observation schedule (ADOS), autism diagnostic interview (ADI-R), Vineland adaptive behavior scales-II (VABS-II), social response scales (SRS), sequenced language scale for infants (SELSI), Korean childhood autism rating scale (K-CARS), and Korean social communication questionnaire (K-SCQ). The k values of BeDevel-I and BeDevel-P were 0.055 ~ 0.732 and 0.291 ~ 0.752, respectively. Items related to social referencing in BeDevel-P had a particularly high diagnostic validity (k = 0.483 ~ 0.684). Reliabilities of BeDevel-I and BeDevel-P were sufficient (Cronbach's alpha = 0.86 ~ 0.88 and 0.92 ~ 0.95, respectively). BeDevel-I and BeDevel-P showed high sensitivity (BeDevel-I: 85.00 ~ 89.29%; BeDevel-P: 85.00 ~ 91.75%), specificity (BeDevel-I: 77.55 ~ 89.55%; BeDevel-P: 85.09 ~ 97.01%), PPV (BeDevel-I: 70.83 ~ 88.54%; BeDevel-P: 81.52 ~ 94.68%), and NPV (BeDevel-I: 76.00 ~ 95.24%; BeDevel-P: 84.62 ~ 95.45%). The agreement between the composite BeDevel score and ADOS, ADI-R, K-CARS, and K-SCQ was >67.6% (range = 67.6 ~ 90.8%). Combining a short caregiver interview and direct play observation is a valid and reliable screening process. More studies on social referencing as an important early marker are needed. BeDevel can be utilized as a secondary screening instrument before diagnostic confirmation in clinical and community settings. LAY SUMMARY: BeDevel, which consists of a short caregiver interview and direct play observation, is a valid and reliable screening instrument for autism spectrum disorder (ASD). We suggest that BeDevel can be utilized as a secondary instrument before administering diagnostic assessments in clinical and community settings. More studies examining social referencing as a potential behavioral marker of ASD are needed.

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. Measurements to investigate the validity of the K-ADI-R was through sensitivity, specificity, positive predictive values (PPV), negative predictive values (NPV), and Cohen’s kappa.Results A total of 1,271 (age 88.9±62.42 months, male=927) participants were included. The K-ADI-R yielded strong psychometric properties with high sensitivity (86.06–99.27%), specificity (84.75–99.55%), PPV (92.33–99.72%), and NPV (79.43–98.64%). There were significant differences in item scores across the K-ADI-R diagnostic algorithm regardless of age and sex (p

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. Methods Based on our search and exclusion criteria, we reviewed 13 studies. Results To improve the accuracy of outcomes, AI algorithms have been used to identify items in assessment instruments that are most predictive of ASD. Creating a smaller subset and therefore reducing the lengthy evaluation process, studies have tested the efficiency of identifying individuals with ASD from those without. Other studies have examined the feasibility of using other behavioral observational features as potential supportive data. Conclusion While previous studies have shown high accuracy, sensitivity, and specificity in classifying ASD and non-ASD individuals, there remain many challenges regarding feasibility in the real-world that need to be resolved before AI methods can be fully integrated into the healthcare system as clinical decision support systems.

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= 111.67 months), and 55 typically developing (TD) children (MA=109.02 months) were included in this study. During their one-time visit, participants completed the ROCF, various autism diagnostic assessments, and the Korean-Leiter International Performance ScaleRevised. Repeated-measures Analysis of Covariance (ANCOVA) and post-hoc Tukey-Kramer comparisons were computed to compare the ROCF scores. Partial correlations and multiple regressions were computed to examine the association between ROCF scores and the severity of autistic symptoms, as measured by the Autism Diagnostic Interview-Revised (ADI-R) among children with ASD.Results There were significant main effects of the analysis group in Structural and Incidental Accuracy, Error, and Style. More siblings than TD children drew in a part-oriented way, but the performance of the sibling group was comparable or superior to that of the TD group in all parameters. Social Interaction scores of children with ASD were significantly associated with Organization scores in Copy condition. Whether or not a child drew in the Part-Oriented style significantly predicted his/her repetitive and restricted behavior scores.Conclusion The findings add to the evidence for altered visuospatial processing patterns of ASD as a potential inherent and genetic trait and suggest that this particular cognitive style should not be considered as a deficit. Educational and theoretical implications are discussed.

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). Participants’ parents completed the Child Behavior Checklist (CBCL). Pearson’s correlations among age, IQ, two subscales of the STAI (i.e., STAIS and STAIT, measuring self-reported state and trait anxiety, respectively), and the Anxiety subscale of CBCL (i.e., CBCL-Anxiety, measuring parent-reported trait anxiety) were computed. Subsequently, Pearson’s correlations were computed among the three anxiety measures, RRBs, and problem behaviors, while controlling for participants’ age and IQ.Results The STAIS and CBCL-Anxiety were both significantly correlated with higher age, sensory sensitivity, depressive symptoms, somatic complaints, and aggressive behaviors. All three anxiety variables were significantly and positively correlated with total SRS RRB scores. Additionally, the STAIS and STAIT were significantly associated with more severe Compulsion/Adherence behaviors, and the CBCL-Anxiety was also significantly associated with more severe Rule-breaking Behaviors.Conclusion Self-reported state anxiety showed association patterns similar to those of parent-reported trait anxiety. Future studies investigating the precise operationalization of different anxiety instruments are needed to accurately measure the anxiety of adolescents with ASD.

Background Previous works attempting to document sex differences in younger children with autism spectrum disorder (ASD) have yielded inconsistent results. Therefore, this study aimed to investigate potential sex differences in the manifestation of ASD-related features in toddlers and preschoolers with ASD, typical development (TD), and other developmental disorders (OD). Method Analyses were conducted using a sample of 557 young children, aged 18−42 months, composed of 261 participants with ASD (n = 207 males; n = 54 females), 223 TD (n = 133 males; n = 90 females), and 73 with OD (n = 45 males; n = 28 females). A battery of tests, including the gold standard ASD diagnostic assessments and caregiver questionnaires, were used to measure symptomatology. We implemented ANCOVA while covarying for adaptive skills to detect sex differences in ASD trait presentation. Results The ASD group demonstrated significant differences in the parent-report social interaction domain with more deficits in females than males, while the TD and OD groups found that males exhibited more restricted or repetitive behaviors (RRB) than females. When the participants were limited to children over 24 months to ensure good diagnostic validity, the same patterns in traits by sex were observed, except in the OD group, suggesting that the younger children might have driven the significant findings. Conclusion Sex differences in the social interaction domain were reported by parents of children with ASD, while children in the non-ASD groups exhibited differences in RRBs. Therefore, healthcare professionals should become aware of the different presentational profiles in young children to prevent over or under detection of ASD.