Wechsler Preschool and Primary Scale of Intelligence (WPPSI)

Pizer, Jasmin H; ElBassiouny, Amanda

doi:10.1002/9781119547167.ch148

Cited by 2 publications

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“…Caregivers of TD children were asked to complete the Chinese validated version of Social Responsiveness Scale (SRS) and only those who screened negative were included in this study. Intelligence quotient (IQ) of both ASD and TD children were assessed using the Wechsler Preschool and Primary Scale of Intelligence (WPPSI) [35]. The ASD children with DD group had Full Scale IQ (FSIQ) score at least two standard deviations below the average, while the ASD children without DD group were matched with the TD group in terms of IQ.…”

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confidence: 99%

Caregiver-Child Interaction as an Effective Tool for Identifying Autism Spectrum Disorder: Evidence from EEG Analysis

Deng

Zhang

et al. 2023

Preprint

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Background Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that affects individuals across their lifespan. Early diagnosis and intervention are crucial for improving outcomes. However, current diagnostic methods are often time-consuming, and costly, making them inaccessible to many families. In the current study, we aim to test caregiver-child interaction as a potential tool for screening children with ASD in clinic. Methods We enrolled preschool children, including ASD children with or without developmental delay (DD), and typical development (TD) children, along with their caregivers. Behavioral indicators were derived from video encoding of caregiver-child interaction, including social involvement of children (SIC), interaction time (IT), response of children to social cues (RSC), time for caregiver initiated social interactions (GIS) and time for children initiated social interactions (CIS)). Power spectral density (PSD) values were calculated by EEG signals simultaneously recorded. ASD core symptoms were evaluated by Childhood Autism Rating Scale (CARS) and Autism Diagnostic Observation Schedule-Calibrated Severity Scores (ADOS-CSS). Partial Pearson correlation analysis was used in both ASD groups to investigate the correlation between behavioral indicators scores and ASD symptom severity/PSD values. Receiver operating characteristic (ROC) analysis was used to describe the discrimination accuracy of behavioral indicators. Results We enrolled 85 participants (Mean age: 4.90 ± 0.65 years, 70.6% male). SIC scores negatively correlated with CARS (p = 0.006) and ADOS-CSS (p = 0.023) in the ASD with DD group. PSD values elevated in ASD groups compared to TD (all p < 0.05), associated with SIC (theta band: p = 0.005; alpha band: p = 0.003) but not IQ levels. SIC was effective in identifying both ASD groups (sensitivity/specificity: ASD children with DD, 76.5%/66.7%; ASD children without DD, 82.6%/82.2%). Conclusion Our results verified the behavioral paradigm of caregiver-child interaction as an efficient tool for early ASD screening, further validated by the PSD of alpha and theta bands.

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confidence: 99%

Caregiver-Child Interaction as an Effective Tool for Identifying Autism Spectrum Disorder: Evidence from EEG Analysis

Deng

Zhang

et al. 2023

Preprint

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Caregiver-child interaction as an effective tool for identifying autism spectrum disorder: evidence from EEG analysis

Deng,

He,

Zhang

et al. 2023

Child Adolesc Psychiatry Ment Health

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Background Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that affects individuals across their lifespan. Early diagnosis and intervention are crucial for improving outcomes. However, current diagnostic methods are often time-consuming, and costly, making them inaccessible to many families. In the current study, we aim to test caregiver-child interaction as a potential tool for screening children with ASD in clinic. Methods We enrolled 85 preschool children (Mean age: 4.90 ± 0.65 years, 70.6% male), including ASD children with or without developmental delay (DD), and typical development (TD) children, along with their caregivers. ASD core symptoms were evaluated by Childhood Autism Rating Scale (CARS) and Autism Diagnostic Observation Schedule-Calibrated Severity Scores (ADOS-CSS). Behavioral indicators were derived from video encoding of caregiver-child interaction, including social involvement of children (SIC), interaction time (IT), response of children to social cues (RSC), time for caregiver initiated social interactions (GIS) and time for children initiated social interactions (CIS)). Power spectral density (PSD) values were calculated by EEG signals simultaneously recorded. Partial Pearson correlation analysis was used in both ASD groups to investigate the correlation among behavioral indicators scores and ASD symptom severity and PSD values. Receiver operating characteristic (ROC) analysis was used to describe the discrimination accuracy of behavioral indicators. Results Compared to TD group, both ASD groups demonstrated significant lower scores of SIC, IT, RSC, CIS (all p values < 0.05), and significant higher time for GIS (all p values < 0.01). SIC scores negatively correlated with CARS (p = 0.006) and ADOS-CSS (p = 0.023) in the ASD with DD group. Compared to TD group, PSD values elevated in ASD groups (all p values < 0.05), and was associated with SIC (theta band: p = 0.005; alpha band: p = 0.003) but not IQ levels. SIC was effective in identifying both ASD groups (sensitivity/specificity: ASD children with DD, 76.5%/66.7%; ASD children without DD, 82.6%/82.2%). Conclusion Our results verified the behavioral paradigm of caregiver-child interaction as an efficient tool for early ASD screening.

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Wechsler Preschool and Primary Scale of Intelligence (WPPSI)

Cited by 2 publications

References 0 publications

Caregiver-Child Interaction as an Effective Tool for Identifying Autism Spectrum Disorder: Evidence from EEG Analysis

Caregiver-Child Interaction as an Effective Tool for Identifying Autism Spectrum Disorder: Evidence from EEG Analysis

Caregiver-child interaction as an effective tool for identifying autism spectrum disorder: evidence from EEG analysis

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