Utility of the Child Behavior Checklist as a Screener for Autism Spectrum Disorder

Widespread Associations between Behavioral Metrics and Brain Microstructure in ASD

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and repetitive behaviors. A diagnosis of ASD is provided by a clinician following cognitive and behavioral evaluations, but there is currently no biomarker associating these metrics with neurological changes. Our lab has previously found that g-ratio, the proportion of axon width to myelin diameter, and axonal conduction velocity, which is associated with the capacity of an axon to carry information, are both decreased in ASD individuals. By associating these differences with performance on cognitive and behavioral tests, we can evaluate which tests most reveal changes in the brain. Analyzing 273 participants (148 with ASD) ages 8-to-17 (49% female) through an NIH-sponsored Autism Centers of Excellence (ACE) network (Grant#: MH100028), we observe widespread associations between behavioral and cognitive evaluations of autism and between behavioral and microstructural metrics. Analyzing data from all participants, conduction velocity but not g-ratio was significantly associated with many behavioral metrics. However, this pattern was reversed when looking solely at ASD participants. This reversal may suggest that the mechanism underlying differences between autistic and non-autistic individuals may be distinct from the mechanism underlying ASD behavioral severity. Two additional machine learning cluster analyses applied to neuroimaging data reinforce the association between neuroimaging and behavioral metrics and suggest that age-related maturation of brain metrics may drive changes in ASD behavior. By associating neuroimaging metrics with ASD, it may be possible to measure and identify individuals at high risk of ASD before behavioral tests can detect them.

Age effects on autism heritability and etiological stability of autistic traits

BACKGROUND

Autism and autistic traits onset in childhood but persist into adulthood. Little is known about how genetic and environmental factors influence autism and autistic traits into adulthood. We aimed to determine age effects on the heritability of clinically diagnosed autism and the etiological stability of autistic traits from childhood to adulthood using twin methods.

METHODS

From 23,849 twin pairs in the Swedish Twin Register born between 1959 and 2010, we identified 485 individuals (1.01%, 31.5% female) with a clinical autism diagnosis. We estimated and compared the relative contribution of genetic, shared, and nonshared environmental influences to autism in childhood and adulthood. We further used multivariate twin analysis with four measurement points among 1,348 twin pairs in the longitudinal Twin Study of Child and Adolescent Development to assess the phenotypic and etiological stability of autistic traits - measured with three scales from the Child Behavior Checklist - from childhood to adulthood.

RESULTS

Autism heritability was comparable from childhood, (96% [95% CI, 76-99%]) to adulthood (87% [67-96%]). Autistic traits were moderately stable (phenotypic correlation = 0.35-0.61) from childhood to adulthood, and their heritability varied between 52 and 71%. We observed stable as well as newly emerging genetic influences on autistic traits from ages 8-9 to 19-20, and unique nonshared environmental influences at each age.

CONCLUSIONS

Genetic factors are important for autism and autistic traits in adulthood and separate genetic studies in adults are warranted.

A follow-up study of peer relationships in autistic and non-autistic youths: Mediating effects from autistic, emotional and behavioral symptoms

BACKGROUND

Little is known about how clinical features prospectively influence peer relationships in autistic populations.

AIMS

This study investigated the clinical symptoms mediating the link between autism spectrum disorder (ASD) diagnosis and peer relationships at follow-up, i.e. the second time evaluation of this study.

METHODS

The sample consisted of 366 autistic youths and 134 non-autistic comparisons. The autistic traits and emotional/behavioral problems were measured at baseline by Social Responsiveness Scale (SRS) and Child Behavior Checklist (CBCL). The interactions and problems with peers were assessed by the Social Adjustment Inventory for Children and Adolescents (SAICA) at follow-up.

RESULTS

Each subscore of SRS and CBCL showed significant mediation effects. Multiple mediation analyses showed atypical social communication, social awareness problems, and delinquent behaviors mediated the link from ASD to less active peer interactions after controlling for sex, age, and IQ. Moreover, atypical social communication, social-emotional problems, and attention difficulties predicted problems with peers. After considering these mediation effects, the diagnosis of ASD still demonstrated a significantly direct effect on peer relationships at follow-up.

CONCLUSIONS AND IMPLICATIONS

Our findings support that social-related autistic features, attention problems, and delinquent behaviors mediated a link between ASD and peer relationships. These mediators are potential measures for improving interactions and decreasing difficulties with peers in the autistic population.

Behavioural and neuropsychological outcomes in children exposed in utero to maternal labour epidural analgesia

BACKGROUND

Recent studies report conflicting results regarding the relationship between labour epidural analgesia (LEA) in mothers and neurodevelopmental disorders in their offspring. We evaluated behavioural and neuropsychological test scores in children of mothers who used LEA.

METHODS

Children enrolled in the Raine Study from Western Australia and delivered vaginally from a singleton pregnancy between 1989 and 1992 were evaluated. Children exposed to LEA were compared with unexposed children. The primary outcome was the parent-reported Child Behaviour Checklist (CBCL) reporting total, internalising, and externalising behavioural problem scores at age 10 yr. Score differences, an increased risk of clinical deficit, and a dose-response based on the duration of LEA exposure were assessed. Secondary outcomes included language, motor function, cognition, and autistic traits.

RESULTS

Of 2180 children, 850 (39.0%) were exposed to LEA. After adjustment for covariates, exposed children had minimally increased CBCL total scores (+1.41 points; 95% confidence interval [CI] 0.09 to 2.73; P=0.037), but not internalising (+1.13 points; 95% CI -0.08 to 2.34; P=0.066) or externalising (+1.08 points; 95% CI -0.08 to 2.24; P=0.068) subscale subscores. Increased risk of clinical deficit was not observed for any CBCL score. For secondary outcomes, score differences were inconsistently observed in motor function and cognition. Increased exposure duration was not associated with worse scores in any outcomes.

CONCLUSIONS

Although LEA exposure was associated with slightly higher total behavioural scores, there was no difference in subscores, increased risk of clinical deficits, or dose-response relationship. These results argue against LEA exposure being associated with consistent, clinically significant neurodevelopmental deficits in children.

Brief Report: Relationships Between Caregiver-Reported Externalizing and Internalizing Behaviors and the Modified Checklist for Autism in Toddlers

PURPOSE

Early detection and intervention are associated with improved outcomes for autistic children. Thus, it is important to understand factors influencing early screening tools designed to detect autism. This study examined the relationship between caregiver-reported emotional and behavioral symptoms and children's scores on a commonly used autism screening questionnaire, the Modified Checklist for Autism in Toddlers-Revised with Follow-Up (M-CHAT-R/F).

METHODS

Toddlers were recruited from four primary care clinics between 2018 and 2021. Their caregivers completed the M-CHAT-R/F as well as the Child Behavior Checklist (CBCL), a well-validated, normed measure of emotional and behavioral functioning. Correlational and group analyses were evaluated to examine relationships between CBCL scales and M-CHAT-R/F scores.

RESULTS

1765 toddlers were recruited for the study. CBCL scores for the internalizing, externalizing, autism, ADHD, and anxiety scales were all modestly positively correlated with M-CHAT-R/F scores. Compared to toddlers with elevated autism scale scores only, toddlers with elevations in both autism and ADHD/externalizing scales had higher M-CHAT-R/F scores. In contrast, no significant difference in scores were found between toddlers with elevated autism scale scores only compared to those with elevated scores on both autism and internalizing scales.

CONCLUSION

Findings suggest that, for children with elevated autism behaviors, the presence of externalizing symptoms, including ADHD-related concerns, is associated with elevated scores on the M-CHAT-R/F. In contrast, internalizing symptoms did not show an association with elevated M-CHAT-R/F scores among toddlers with elevated autism-related behaviors. Interpretation of the M-CHAT-R/F should include consideration of co-occurring psychiatric conditions, especially externalizing conditions such as ADHD.

Association between maternal labour epidural analgesia and autistic traits in offspring

STUDY OBJECTIVE

Studies investigating associations between maternal epidural analgesia (MEA) and autism spectrum disorder (ASD) in the offspring are conflicting and lack prospective neurobehavioral follow-up assessments for autistic traits. We aim to prospectively investigate associations between MEA and autistic traits in the offspring.

DESIGN

Prospective neurobehavioral observational cohort study.

SETTING

Singaporean tertiary healthcare institutions.

PATIENTS

Participants recruited were singleton non-IVF children, >36 weeks gestation, delivered via normal vaginal delivery by mothers >18 years of age, delivered in Singapore from June 2009-September 2010 and followed up over 7 years.

INTERVENTIONS

Exposure to maternal epidural analgesia during delivery.

MEASUREMENTS

The primary outcome is an abnormal Social Responsiveness Scale (SRS) T score at 7 years (≥60 points). Secondary outcomes include the diagnosis of ASD and abnormal scores for autistic traits assessed via a neurobehavioral battery comprising: CBCL (child behavioural checklist), Q-CHAT (Quantitative Checklist for Autism in Toddlers), and Bayley-III. Multivariable analyses adjusting for maternal and offspring characteristics were performed.

MAIN RESULTS

704 out of 769 mother-child dyads recruited fulfilled the criteria for analysis. 365/704 mothers received MEA. The incidence of an abnormal SRS score at 7 years in offspring exposed to MEA was 19.9%, and 26.1% in non-exposed offspring (p = 0.154). Multivariable analysis did not demonstrate a significant association between MEA and abnormal SRS scores at 7 years (O.R.0.726, 95% C·I. 0.394-1.34, p = 0.305). After adjustment for maternal and fetal demographics, exposure to MEA was not significantly associated with an abnormal screen in all other tests for autistic traits. The clinical incidence of ASD was 1.76% in children without exposure to MEA, and 2.32% in children with MEA exposure (p = 0.506).

CONCLUSIONS

MEA is not significantly associated with the development of ASD and autistic traits in offspring, assessed over 7 years. Results should be taken into perspective given our wide confidence intervals and small cohort size.

The Development and Validation of a Subscale for the School-Age Child Behavior CheckList to Screen for Autism Spectrum Disorder

The first aim of this study was to construct/validate a subscale-with cut-offs considering gender/age differences-for the school-age Child Behavior CheckList (CBCL) to screen for Autism Spectrum Disorder (ASD) applying both data-driven (N = 1666) and clinician-expert (N = 15) approaches. Further, we compared these to previously established CBCL ASD profiles/subscales and DSM-oriented subscales. The second aim was to cross-validate results in two truly independent samples (N = 2445 and 886). Despite relatively low discriminative power of all subscales in the cross-validation samples, results indicated that the data-driven subscale had the best potential to screen for ASD and a similar screening potential as the DSM-oriented subscales. Given beneficial implications for pediatric/clinical practice, we encourage colleagues to continue the validation of this CBCL ASD subscale.

Investigating and comparing the psychometric properties of the Chinese Mandarin version of social responsiveness scale-2 and its shortened version in preschool-age children with autism spectrum disorder

We aimed to investigate and compare the psychometric properties of the Chinese Mandarin Social Responsiveness Scale-2 (SRS-2) and its shortened version. The study assessed 670 children with autism spectrum disorder (ASD) aged 30-54 months and 138 typical developmental (TD) children of the same age in mainland China. Our item reliability test revealed that only 36 items of the 65 items in the Chinese Mandarin SRS-2 (Preschool) met the reliability criteria. Moreover, the shortened version of SRS-2 (Preschool) with four subscales and 30 items maintained strong correlations (r = 0.961) with the Chinese Mandarin SRS-2 (Preschool), and demonstrated improved psychometric performance on the 4-week test-retest reliability (intraclass correlations was 0.70), internal consistency (Cronbach's alpha 0.71-0.91), construct validity, and convergent validity with the Autism Diagnostic Observation Schedule, Autism Diagnostic Interview-Revised, and Child Behavior Checklist. Receiver operating characteristics (ROC) analyses showed excellent and comparable discriminant validity of the shortened version with an area under the curve of 0.992. Our data suggested a cutoff ≥ 22.5 for the shortened version, with good accuracy in screening autism symptoms (sensitivity=96.9 %, specificity=94.2 %). Our findings demonstrated that the shortened version of SRS-2 (Preschool) was a reliable and valid instrument for identifying preschoolers with ASD in mainland China.

Prevalence and Phenomenology of Anxiety in Preschool-Aged Children with Autism Spectrum Disorder

Individuals with autism spectrum disorder (ASD) are at a higher risk for developing co-occurring anxiety symptoms and diagnosable anxiety disorders compared to children with neurotypical development (NTD). The objective of the current study was to characterize the prevalence and phenomenology of anxiety in preschool-aged children with ASD. Our sample consisted of preschoolers (M = 52.8 months, SD = 10.8 months) with ASD (n = 77, 66% with co-occurring intellectual disability, ID) and NTD (n = 55). We employed multi-method (questionnaire and semi-structured diagnostic interview) and multi-informant (parent- and teacher-report) assessments of anxiety. Children with ASD were significantly more likely to meet criteria for an anxiety disorder than children with NTD. Over 70% of our sample with ASD met DSM-5 criteria for an anxiety disorder, with Specific Phobia and Separation Anxiety Disorder being the most prevalent. A range of specific fears was endorsed in the group with ASD, many of which overlapped with ASD symptoms. Parents, but not teachers, also reported greater anxiety symptoms for children with ASD relative to the comparison sample. Prevalence and phenomenology of anxiety in our sample with ASD generally did not differ between those with and without co-occurring ID, with the exception of higher rates of generalized anxiety in those without ID. Results showed poor concordance between parent questionnaires and a semi-structured diagnostic interview in detecting clinically-elevated anxiety in children with ASD. Implications for clinical practice and research are discussed.

Identification of behavioral disorders using the Achenbach questionnaire in children with tumors of the posterior cranial fossa after completion of special treatment (pilot research)

Background. The increase in life expectancy of children who survived cancer leads to new tasks for doctors, psychologists and rehabilitation specialists to assessing the consequences of the experienced disease and its treatment. The most common disorders in children who have survived oncological diseases are behavioral disorders, a decrease in mood background, as well as chronic fatigue.Aim. To identify predictors of behavioral disorders in children who have survived central nervous system oncological diseases.Materials and methods. The study involved 52 children with central nervous system tumors aged 6 to 17 years. The median time after completion of therapy in this group of patients was 18 (3–117) months.Results. As a result of the study, it was shown that such treatment parameters as the degree of tumor malignancy and the radiation therapy volume are associated with behavioral disorders in children who have survived cancer. In such children, a reduced mood background was revealed, and the older the child, the higher the probability of a reduced mood background. A reduced mood background is also associated with the use of vincristine preparation. Children who have a residual tumor are more likely to complain of unpleasant sensations in the body. All children, despite the specifics of their treatment, complain of constant fatigue, which affects their daily activity.Conclusion. Thus, factors that are associated with behavioral disorders in children who have survived oncological diseases in the central nervous system were identified.

Sleep and behavioral problems in preschool-age children with Down syndrome

Sleep is a major concern, especially in people with Down Syndrome (DS). Beyond Obstructive Sleep Apnea, a number of other sleep difficulties have been reported in children with DS, such as delayed sleep onset, night-time awakenings, and early morning awakenings. The detrimental effect of sleep difficulties seems to contribute to and exacerbate the cognitive and behavioral outcomes of DS. Although the screening for sleep disorders is recommended early in age in DS, only a few studies have evaluated the sleep profile in preschool-age children with DS. The aim of the current study was to assess the association between sleep disturbances and behavioral problems in a group of preschool-age children with DS, by means of a feasible and easy-to-administer parent-report questionnaires. Seventy-one preschool-age children with DS, ranging in age from 3 to 5.11 years, were included in this retrospective study. Sleep disturbances were evaluated by means of the Sleep Disturbance Scale for Children, while emotional and behavioral problems by means of the Child Behavior Checklist. Sleep breathing disorders were the most frequent sleep difficulties reported by parents. Moreover, children with clinical scores in total sleep problems exhibited elevation of psychopathological symptoms, namely Total problems, Affective problems, Anxiety problems, Pervasive Developmental Problems, and Attention Deficit/Hyperactivity Problems. The identification of the broader connection between sleep difficulties and emotional and behavioral problems in preschool-age children with DS leads to important considerations for intervention.

Association of fetal eye movement density with sleeping and developmental problems in 1.5-year-old infants

Eye movement density (EMD) is an evaluation index of rapid eye movements observed during sleep. This study aimed to investigate the association of fetal EMD with sleeping and developmental problems in infancy. We observed 60 normal singleton pregnancies (gestational age 28-37 weeks) using ultrasonography for 1 h. Fetal eye movements were counted, and EMD was calculated. Participants answered questionnaires regarding their child's sleep and development 1.5 years after their delivery. The outcomes of an infant's sleep were night awakening (yes or no), bedtime (before or after 22:00), and nighttime sleep duration (< 9 or ≥ 9 h). An infant's development was evaluated using the Child Behavior Checklist (CBCL) T-score. We found that decreased fetal EMD was associated with increased night awakening at the age of 1.5 years (odds ratio 0.84, 95% confidence interval 0.69-1.00 per unit decrease in EMD). However, fetal EMD was not associated with bedtime or nighttime sleep duration. In addition, fetal EMD was independently associated with the total problems T-score of the CBCL at the age of 1.5 years in the multivariate model (p = 0.047). In conclusion, fetal EMD may be associated with sleep and developmental problems in infants.

Utilizing the Child Behavior Checklist (CBCL) as an Autism Spectrum Disorder Preliminary Screener and Outcome Measure for the PEERS® Intervention for Autistic Adolescents

Exploration of potential preliminary screeners, and examination of social intervention outcomes for effects on comorbid symptoms is imperative. The Child Behavior Checklist (CBCL; Achenbach & Rescorla, Achenbach and Rescorla, Manual for the ASEBA school-age forms & profiles, University of Vermont, Research Center for Children, Youth & Families, 2001) provides a potential ASD screener and intervention outcome evaluation. This study had two aims: (1) to examine CBCL scales scores as a potential ASD screener; (2) to investigate PEERS® outcomes via the CBCL for Autistic adolescents. Results indicated elevated scores on four CBCL scales in the ASD groups, contrasted to a typically-developing group. Furthermore, decreases in the two CBCL scales for adolescents that received the intervention were found. Findings support prior research indicating a unique CBCL elevation pattern as a potential screener for ASD, and provide additional support for the efficaciousness of PEERS®.

Cortico-amygdalar connectivity and externalizing/internalizing behavior in children with neurodevelopmental disorders

Background

Externalizing and internalizing behaviors contribute to clinical impairment in children with neurodevelopmental disorders (NDDs). Although associations between externalizing or internalizing behaviors and cortico-amygdalar connectivity have been found in clinical and non-clinical pediatric samples, no previous study has examined whether similar shared associations are present across children with different NDDs.

Methods

Multi-modal neuroimaging and behavioral data from the Province of Ontario Neurodevelopmental Disorders (POND) Network were used. POND participants aged 6–18 years with a primary diagnosis of autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD) or obsessive–compulsive disorder (OCD), as well as typically developing children (TDC) with T1-weighted, resting-state fMRI or diffusion weighted imaging (DWI) and parent-report Child Behavioral Checklist (CBCL) data available, were analyzed (total n = 346). Associations between externalizing or internalizing behavior and cortico-amygdalar structural and functional connectivity indices were examined using linear regressions, controlling for age, gender, and image-modality specific covariates. Behavior-by-diagnosis interaction effects were also examined.

Results

No significant linear associations (or diagnosis-by-behavior interaction effects) were found between CBCL-measured externalizing or internalizing behaviors and any of the connectivity indices examined. Post-hoc bootstrapping analyses indicated stability and reliability of these null results.

Conclusions

The current study provides evidence towards an absence of a shared linear relationship between internalizing or externalizing behaviors and cortico-amygdalar connectivity properties across a transdiagnostic sample of children with different primary NDD diagnoses and TDC. Different methodological approaches, including incorporation of multi-dimensional behavioral data (e.g., task-based fMRI) or clustering approaches may be needed to clarify complex brain-behavior relationships relevant to externalizing/internalizing behaviors in heterogeneous clinical NDD populations.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00429-022-02483-0.

Characterizing Parent–Child Interactions in Families of Autistic Children in Late Childhood

Parent–child interactions are influential to a wide range of positive developmental processes in neurotypical children, yet contributions to our understanding of these interactions using observational methods in families of children on the autism spectrum are lacking. The aim of the current study is to investigate how autism symptoms might impact these interactions. We use a family discussion task to: (1) compare families of autistic children aged 8–12 years (n = 21) to families of typically developing children (n = 21, matched on age and cognitive abilities) on the observed levels of supportive and directive behaviors in the parent–child relationship, and (2) examine the associations between parent–child interaction characteristics and child functioning. Results showed no differences in the observed levels of supportive behavior exhibited by parents, but significantly less supportive behavior in autistic children compared to neurotypical children. In addition, parents of autistic children had higher levels of observed directive behavior compared to parents of neurotypical children. Levels of supportive behavior in parents and autistic children were negatively associated with child ADHD symptoms. Findings reinforce literature on younger children describing positive parenting characteristics and further rebuke historical accounts of negative parenting qualities of parents of autistic children.

Adaptive Behavior, Emotional/Behavioral Problems and Parental Stress in Children With Autism Spectrum Disorder

Background: The aim of our study was to compare adaptive skills, emotional/behavioral problems, and parental stress among children with different severity levels of Autism Spectrum Disorder (ASD) symptoms. Methods: This study included a sample of 88 subjects with ASD (mean age = 6.00 ± 2.70). All subjects underwent standardized neuropsychological tests for the assessment of symptoms of the autism spectrum (Autism Diagnostic Observation Schedule-Second Edition), adaptive level (The Vineland Adaptive Behavior Scales, Survey Interview, 2nd edition), behavioral and emotional problems (Child Behavior CheckList CBCL), and parental stress (Parental Stress Index Short Form-PSI-SF). Non-parametric statistical methods (Kruskal-Wallis test and Mann-Whitney U-test for post hoc analysis) and linear regression analysis were used in this study. Results: Children who had higher severity levels of ASD symptoms had less adaptive functioning; younger children showed more severe symptoms of ASD; older children had better communication skills. The presence of greater adaptive difficulties was related to a greater presence of internalizing problems. An increase in parental stress levels was related to an higher severity of ASD symptoms, fewer adaptive skills, and a greater presence of internalizing and externalizing problems. Conclusion: This study suggests that the adaptive behavior should be considered in order to planning a habilitation intervention in children with autism. It is also important to monitor emotional/behavioral problems and parental stress levels in order to provide parenting support and improve the family quality of life.

A national harmonised data collection network for neurodevelopmental disorders: A transdiagnostic assessment protocol for neurodevelopment, mental health, functioning and well-being

Background

Children with neurodevelopmental disorders share common phenotypes, support needs and comorbidities. Such overlap suggests the value of transdiagnostic assessment pathways that contribute to knowledge about research and clinical needs of these children and their families. Despite this, large transdiagnostic data collection networks for neurodevelopmental disorders are not well developed. This paper describes the development of a nationally supported transdiagnostic clinical and research assessment protocol across Australia. The vision is to establish a harmonised network for data collection and collaboration that promotes transdiagnostic clinical practice and research.

Methods

Clinicians, researchers and community groups across Australia were consulted using surveys and national summits to identify assessment instruments and unmet needs. A national research committee was formed and, using a consensus approach, selected assessment instruments according to pre-determined criteria to form a harmonised transdiagnostic assessment protocol.

Results

Identified assessment instruments were clustered into domains of transdiagnostic assessment needs, which included child functioning/quality of life, child mental health, caregiver mental health, and family background information. From this, the research committee identified a core set of nine measures and an extended set of 14 measures that capture these domains with potential for further modifications as recommended by clinicians, researchers and community members.

Conclusion

The protocol proposed here was established through a strong partnership between clinicians, researchers and the community. It will enable (i) consensus driven transdiagnostic clinical assessments for children with neurodevelopmental disorders, and (ii) research studies that will inform large transdiagnostic datasets across neurodevelopmental disorders and that can be used to inform research and policy beyond narrow diagnostic groups. The long-term vision is to use this framework to facilitate collaboration across clinics to enable large-scale data collection and research. Ultimately, the transdiagnostic assessment data can be used to inform practice and improve the lives of children with neurodevelopmental disorders and their families.

The Autism Detection in Early Childhood Tool: Level 2 autism spectrum disorder screening in a NICU Follow-up program

OBJECTIVE

Children born preterm are at increased risk for autism spectrum disorder (ASD). However, early diagnosis of ASD is challenging because conventional screening Level 1 tools are less reliable in this population. We sought to determine whether the Autism Detection in Early Childhood (ADEC) and Child Behavior Checklist (CBCL) could accurately identify children at risk for ASD in a NICU Follow-up setting and thus facilitate referral for formal ASD evaluation.

METHOD

Children aged 18-36 months were recruited from a NICU Follow-up program. All children received presumptive diagnoses based on DSM-5 criteria and were screened for ASD risk with the ADEC and CBCL. Children scoring in the "at risk" range on either tool were referred for a full diagnostic ASD evaluation.

RESULTS

Sixty-nine patients (median birth weight 1140 g; median gestational age 28 weeks) were included with 18 designated "at risk" for ASD. Nine (13 %) scored "at risk" on the ADEC and 12 (17 %) on the CBCL. Thirteen children underwent diagnostic ASD evaluation with 9 receiving a formal diagnosis of ASD. The ADEC demonstrated the best performance (sensitivity 89 %, specificity 98 %). The CBCL was less sensitive (sensitivity 50 %, specificity 90 %). Requiring elevated scores on both the CBCL and ADEC was specific but not sensitive (sensitivity 33 %, specificity 100 %).

CONCLUSION

The ADEC performed well in identifying children at risk for ASD within this high-risk NICU cohort, adding benefit as an autism-specific screening tool over the CBCL alone.

Nightmares in Children with Foetal Alcohol Spectrum Disorders, Autism Spectrum Disorders, and Their Typically Developing Peers

Children with Foetal Alcohol Spectrum Disorders (FASD) and Autism Spectrum Disorders (ASD) experience significantly higher rates of sleep disturbances than their typically developing (TD) peers. Pre-sleep anxiety and waking emotional content is known to affect the content and frequency of nightmares, which can be distressing to children and caregivers. This is the first study to analyse nightmare frequency and content in FASD, and to assess its association with psychometric outcomes. Using online caregiver questionnaires, we assessed reports from 277 caregivers of children with ASD (n = 61), FASD (n = 112), and TD children (n = 104) using the Children's Sleep Habits Questionnaire (CSHQ), the Child Behaviour Checklist (CBCL), the Spence Children's Anxiety Scale (SCAS), and the Behaviour Rating Inventory for Executive Functioning (BRIEF). Within the ASD group, 40.3% of caregivers reported their children had nightmares. Within the FASD group, 73.62% of caregivers reported their children had nightmares, and within the TD group, 21.36% of caregivers reported their children had nightmares. Correlation analysis revealed significant associations between anxiety and nightmares, maladaptive behaviour and nightmares, and executive functioning and nightmares in the TD and FASD groups, but not ASD group. This paper adds to the emerging body of work supporting the need for sleep interventions as part of clinical practice with regard to children with ASD and FASD. As a relatively niche but important area of study, this warrants much needed further research.

Neuropsychological Profile, Emotional/Behavioral Problems, and Parental Stress in Children with Neurodevelopmental Disorders

Background: The aim of our study was to trace a specific neuropsychological profile, to investigate emotional-behavioral problems and parental stress in children with Autism Spectrum Disorder Level 1/High functioning (ASD-HF), Specific Learning Disorders (SLD) and Attention Deficit/Hyperactivity Disorder (ADHD) disorders and to highlight similarities and differences among the three groups. Methods: We retrospectively collected the data from a total of 62 subjects with ASD-HF (n = 19) ADHD (n = 21), SLD (n = 22) and 20 typical development. All the participants underwent neuropsychological standardized test for the evaluation of cognitive profile (Wechsler Intelligence Scale for Children Fourth Edition—WISC-IV), behavioral and emotional problems (Child Behavior CheckList CBCL), and parental stress (Parental Stress Index Short Form—PSI-SF). The scores of the ASD-HF, ADHD, and SLD groups were compared using non-parametric statistic methods (Kruskall–Wallis H test and U Mann–Whitney for post-hoc analysis). Results: The ASD-HF group were significantly higher in all areas of the WISC-IV than the other two clinical groups. The SLD group performed significantly lower than ASD-HF in Working Memory Index. The SLD group showed lower scores on the somatic problems subscale than the other two groups. In the Difficult Child subscale of the PSI-SF, parents of ADHD children scored lower than the mothers of SLD subjects and higher than the fathers of SLD subjects. In all three groups there are specific deficiencies compared to the control group in the cognitive profile, behavioral and emotional problems, and parental stress. Conclusions: Our comparative analysis highlighted similarities and differences in three groups of children with different neurodevelopmental disorders, helping to better define cognitive, behavioral, and emotional characteristics of these children and parental stress of their parents.

Detection of Early Warning Signs in Autism Spectrum Disorders: A Systematic Review

Due to the exponential increase of autism spectrum disorders’ prevalence in Western countries, it is necessary to improve early detection and intervention to enhance developmental milestones. This systematic review identified the most effective screening instrument, which can be used at an early age and which identifies the maximum number of autism cases. We identified several instruments with adequate predictive properties—the Autism Parent Screen for Infants (APSI), Battelle Development Inventory, second edition (BDI-2); Brief Infant-Toddler Social and Emotional Assessment (BITSEA); First Year Inventory (FYI); Infant-Toddler Checklist/Communication and Symbolic Behavior Scales Developmental Profile (ITC/CSBS-DP); Program of Research and Studies on AUTISM (PREAUT-Grid); Checklist for Early Signs of Developmental Disorders (CESDD); Social Attention and Communication Study (SACS); and the Screening Tool for Autism in Toddlers and Young Children (STAT)—that can be applied from 12 months of age in Western countries. The ITC/CSBS-DP has been proposed for universal screening from 12 months of age onwards, complemented by the Modified Checklist for Autism in Toddlers, Revised/Revised with Follow-Up (M-CHAT-R/F), which can be used from 15 months of age onwards. This strategy could improve early detection in at-risk children within the current health system, thus allowing for early intervention.

Efficacy of neurofeedback as a treatment modality for children in the autistic spectrum

BACKGROUND

Neurofeedback (NFB) has been conceded as a convenient measure for both identifying and remodeling neural pliability of brain cells; it is a mean through which participants can have voluntary control on their brain waves being expressed on the EEG. Forty-two autistic children received a NFB therapy aiming at improving their cognitive abilities.

RESULTS

NFB succeeded to decrease children's high theta/beta ratio by inhibiting theta activity and intensifying beta activity over different sessions. Following therapy, the children's cognitive functions were found to show comparative improvement compared to pre-treatment assessment on a range of different tasks. Auxiliary improvements were found in their social, thought and attention domains.

CONCLUSION

These findings propose a basic cognitive function impairment in autism spectrum disorder that can be reduced through specific NFB treatment.

Structural validity of the Child Behavior Checklist (CBCL) for preschoolers with neurogenetic syndromes

BACKGROUND

Psychologists routinely use the Child Behavior Checklist for Ages 1½-5 (CBCL) to assess challenging behaviors of preschoolers with developmental disabilities. However, the CBCL has not been thoroughly validated in neurogenetic syndromes (NGS).

AIM

We investigated the structural validity of the CBCL in NGS.

METHODS

Based on 152 preschoolers with Angelman, fragile X, Prader-Willi, and Williams syndromes, we employed confirmatory factor analysis (CFA) to evaluate the goodness-of-fit of CBCL narrowband, broadband, and DSM-oriented scales.

RESULTS

CFA models largely supported the unidimensionality of most narrowband scales and the two-factor structure of internalizing and externalizing broadband scales. However, there was limited evidence for the unidimensionality of most DSM-oriented scales.

CONCLUSIONS

Psychologists may consider using the CBCL as a psychometrically sound narrowband and broadband measure of challenging behaviors but should exercise caution when interpreting DSM-oriented scales for preschoolers with NGS. Our findings underscore a continued need to enhance assessment measures for identifying early precursors of child psychopathology in pediatric populations with atypical developmental trajectories.

Systematic Review and Meta-Analysis of the Clinical Utility of the ADOS-2 and the ADI-R in Diagnosing Autism Spectrum Disorders in Children

The Autism Diagnostic Observation Schedule, Second Edition (ADOS-2) and the Autism Diagnostic Interview, Revised (ADI-R) have high accuracy as diagnostic instruments in research settings, while evidence of accuracy in clinical settings is less robust. This meta-analysis focused on efficacy of these measures in research versus clinical settings. Articles (n = 22) were analyzed using a hierarchical summary receiver operating characteristics (HSROC) model. ADOS-2 performance was stronger than the ADI-R. ADOS-2 sensitivity and specificity ranged from .89-.92 and .81-.85, respectively. ADOS-2 accuracy in research compared with clinical settings was mixed. ADI-R sensitivity and specificity were .75 and .82, respectively, with higher specificity in research samples (Research = .85, Clinical = .72). A small number of clinical studies were identified, indicating ongoing need for investigation outside research settings.

A Combined Study on the Use of the Child Behavior Checklist 1½-5 for Identifying Autism Spectrum Disorders at 18 Months

The capacity of the Child Behavior Checklist 1½-5 (CBCL 1½-5) to identify children with autism spectrum disorder (ASD) at 18 months was tested on 37 children clinically referred for ASD and 46 children at elevated likelihood of developing ASD due to having an affected brother/sister. At 30 months the clinically referred children all received a confirmatory diagnosis, and 10 out of 46 siblings received a diagnosis of ASD. CBCL 1½-5 profiles were compared with a group of matched children with typical development (effect of cognitive level controlled for). The capacity of the CBCL 1½-5 DSM Oriented-Pervasive Developmental Problems scale to differentiate correctly between children diagnosed with ASD and children with typical development appeared dependent on group ascertainment methodology.

A pro-inflammatory phenotype is associated with behavioural traits in children with Prader-Willi syndrome

Several lines of evidence indicate that immune-inflammatory alterations are widely observed in various mental disorders. Genetic syndromes with high risk of psychiatric disorders may constitute a model for studies investigating this phenomenon. One of such genetically determined neurodevelopmental disorders is the Prader-Willi syndrome (PWS). Therefore, we aimed to profile a broad panel of immune-inflammatory markers in patients with PWS, taking into account co-morbid psychopathology. Participants were 20 children with PWS, and 20 healthy children matched for age, sex and body mass index. Behavioural symptoms and co-occurring psychopathological symptoms were assessed using the Child Behaviour Checklist (CBCL). We found significantly elevated levels of interleukin (IL)-1β and IL-13 in patients with PWS. There were significant positive correlations between the levels of IL-1β and scores of the following externalizing and internalizing CBCL domains: withdrawn/depressed, social problems, thought problems, attention problems, delinquent and aggressive behaviour in PWS children. Moreover, higher levels of IL-13 were associated with more severe psychopathology in terms of social and attention problems as well as delinquent and aggressive behaviour. Our findings imply that subclinical inflammation, observed as elevated IL-1β and IL-13 levels, appears only in PWS patients and is correlated to several psychopathological symptoms.

The CBCL/1½-5's DSM-ASD Scale: Confirmatory Factor Analyses Across 24 Societies

Previous research supports the CBCL/1½-5's DSM-ASD scale (and its precursor, the DSM-PDP scale) as a Level 1 ASD screener. Confirmatory factor analyses (CFAs) with data from population samples in 24 societies (N = 19,850) indicated good measurement invariance across societies, especially for configural and metric invariance. Items 4. 25, 67, 80, and 98 may be especially good discriminators of ASD because they have tend to have low base rates, strong loadings on the ASD latent construct, and the best measurement invariance across societies. Further research is needed to test the discriminative power of these items in predicting ASD, but our strong measurement findings support the international psychometric robustness of the CBCL/1½-5's DSM-ASD scale.

Trajectories of co-occurring psychopathology symptoms in autism from late childhood to adulthood

Given high rates of co-occurring conditions in youth and adults with autism spectrum disorder (ASD), it is critical to examine the developmental trajectories of these symptoms of psychopathology. Using data from a cohort of participants (n = 194), most of whom were first assessed for ASD in very early childhood, we investigated the trajectories of co-occurring depressive, anxiety, and attention-deficit hyperactivity disorder (ADHD) symptoms from late childhood to adulthood. Additionally, childhood predictors and adult outcomes associated with these symptom trajectories were examined. Using group-based trajectory modeling, we found two distinct classes of individuals exhibiting each of these co-occurring symptom patterns: one class exhibited fairly low symptoms across time, and one class with elevated symptoms with varied fluctuation across time (ADHD symptoms starting high but decreasing, anxiety symptoms high and stable, and depressive symptoms fluctuating but peaking at clinically significant levels in young adulthood). All high trajectory classes were associated with age 9 adaptive skills; verbal IQ predicted higher anxiety and depressive symptom classes. After accounting for verbal IQ, all high symptom trajectory classes were negative predictors of objective adult outcomes. These findings call for wide-ranging considerations of the needs of individuals across ability levels, autism symptoms, and behavioral and emotional challenges.

A Scoping Review of Anxiety in Young Children with Autism Spectrum Disorder

Research on anxiety in children and adolescents with autism spectrum disorder (ASD) has burgeoned in the past 15 years. Most of the research has focused on school-age children, ages 6 to 18 years. Yet, recent studies suggest that anxiety can emerge in young children, under 6 years, with ASD. This scoping review synthesized the literature on anxiety in young children with ASD. Three domains of anxiety research were reviewed: (a) prevalence/severity, phenomenology, and course; (b) correlates; and (c) treatment. Four online databases were searched from the start of the database until March 2020. Keywords pertaining to anxiety, autism, and young children were entered. The search identified 44 articles for inclusion. These studies varied with respect to sample source, informants, and measures to assess anxiety. The overall prevalence of anxiety ranged from 1.6 to 62%. Sixteen of 17 studies found that young children with ASD had higher levels of anxiety compared to various control groups. A variety of DSM anxiety symptoms and disorders were present in young children with the most common symptoms being specific, social, and generalized fears. Correlates of anxiety included sensory over-responsivity, sleep disturbance, aggression/defiance, and attention deficit/hyperactivity disorder. Three cognitive behavioral treatment studies for anxiety and one developmental intervention targeting ASD symptoms showed promise in reducing anxiety. Findings indicate an early emergence of anxiety in some children with ASD. Further research on the measurement, pathophysiology, and treatment of anxiety in early childhood is critical to improving outcomes in children with ASD. LAY SUMMARY: This scoping review synthesizes the literature on anxiety in young children with autism spectrum disorder (ASD). Results indicate that children with ASD have higher levels of anxiety than children without ASD. Potential factors that could be contributing to anxiety include sensory, sleep, and behavioral problems. Preliminary studies show that anxiety can improve with cognitive behavioral treatment. These findings suggest that research on anxiety in young children with ASD should be prioritized to improve mental health outcomes.

Racial and Ethnic Differences in Behavioral Problems and Medication Use Among Children With Autism Spectrum Disorders

We examined racial and ethnic differences in the prevalence of behavioral problems measured by the Child Behavioral Checklist (CBCL), sleep disturbances measured by the Child Sleep Habits Questionnaire (CSHQ), and medication use among children with Autism Spectrum Disorders (ASD). We analyzed data from the Autism Treatment Network (ATN) dataset for 2,576 children ages 6 to 18 years of age diagnosed with ASD. Multivariable logistic regression accounting for age, gender, Diagnostic and Statistical Manual of Mental Disorders (4th Edition - Text Revision), diagnosis (Autistic Disorder, PDD-NOS, Asperger's Disorder), and parents' education did not show any racial or ethnic differences in behavioral challenges, conduct problems, or sleep disturbances for any of the groups, but Black children had lower odds of Total Problem Behaviors and Asian children had lower odds of Hyperactivity compared to White children. As a group, children from racial and ethnic minorities had lower odds of Total Problem Behaviors and Conduct Problems compared to White children. Hispanic children had lower odds of medication use for Behavioral Challenges, Total Problem Behaviors, Hyperactivity, and Conduct Problems. Asian children had lower odds of medication use for Behavioral Challenges, Total Problem Behaviors, and Hyperactivity; and had close to lower odds in medication use for Conduct Problems. Black children had lower odds for medication use for Total Problem Behaviors only. As a group, children from racial and ethnic minorities had lower odds for medication use for Behavioral Challenges, Total Problem Behaviors, Hyperactivity, and Conduct problems, but not for Sleep Disturbances. While these results are consistent with previous studies showing that White children are significantly more likely to receive psychotropic medication compared to children from racial and ethnic minority groups, we found no such differences for sleep challenges, suggesting that they are more consistently identified and equitably treated than other behavioral problems associated with ASD. We draw upon Andersen's (1995) Behavioral Model of Healthcare Use to suggest predisposing, enabling, and needs factors that may contribute to this pattern of racial and ethnic differences in the use of medications among children ASD.

Early Origins of Autism Comorbidity: Neuropsychiatric Traits Correlated in Childhood Are Independent in Infancy

Previous research has suggested that behavioral comorbidity is the rule rather than the exception in autism. The present study aimed to trace the respective origins of autistic and general psychopathologic traits-and their association-to infancy. Measurements of autistic traits and early liability for general psychopathology were assessed in 314 twins at 18 months, ascertained from the general population using birth records. 222 twins were re-evaluated at 36 months. Standardized ratings of variation in social communication at 18 months were highly heritable and strongly predicted autistic trait scores at 36 months. These early indices of autistic liability were independent from contemporaneous ratings of behavior problems on the Brief Infant-Toddler Social and Emotional Assessment (which were substantially environmentally-influenced), and did not meaningfully predict internalizing or externalizing scores on the Achenbach Scales of Empirically Based Assessment at 36 months. In this general population infant twin study, variation in social communication was independent from variation in other domains of general psychopathology, and exhibited a distinct genetic structure. The commonly-observed comorbidity of specific psychiatric syndromes with autism may arise from subsequent interactions between autistic liability and independent susceptibilities to other psychopathologic traits, suggesting opportunities for preventive amelioration of outcomes of these interactions over the course of development.

The Implications of Parent-Reported Emotional and Behavioral Problems on the Modified Checklist for Autism in Toddlers

Studies have shown that Autism Spectrum Disorder (ASD) screening and diagnostic instruments may be affected by the presence of emotional and behavior problems (EBPs). This study assessed the impact of EBPs on the Modified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT-R/F). Participants included 290 children, 18-48 months of age, referred for ASD-related concerns. Those diagnosed with ASD had significantly lower externalizing EBPs compared to those who were not diagnosed with ASD. More externalizing symptoms and younger age were significantly predictive of an M-CHAT-R/F final score. Sensitivity and specificity was impacted by the age of the child. These results suggest that combining measures that assess EBPs and autism core symptoms may improve accuracy in this referred population.

Identification, Evaluation, and Management of Children With Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a common neurodevelopmental disorder with reported prevalence in the United States of 1 in 59 children (approximately 1.7%). Core deficits are identified in 2 domains: social communication/interaction and restrictive, repetitive patterns of behavior. Children and youth with ASD have service needs in behavioral, educational, health, leisure, family support, and other areas. Standardized screening for ASD at 18 and 24 months of age with ongoing developmental surveillance continues to be recommended in primary care (although it may be performed in other settings), because ASD is common, can be diagnosed as young as 18 months of age, and has evidenced-based interventions that may improve function. More accurate and culturally sensitive screening approaches are needed. Primary care providers should be familiar with the diagnostic criteria for ASD, appropriate etiologic evaluation, and co-occurring medical and behavioral conditions (such as disorders of sleep and feeding, gastrointestinal tract symptoms, obesity, seizures, attention-deficit/hyperactivity disorder, anxiety, and wandering) that affect the child's function and quality of life. There is an increasing evidence base to support behavioral and other interventions to address specific skills and symptoms. Shared decision making calls for collaboration with families in evaluation and choice of interventions.  This single clinical report updates the 2007 American Academy of Pediatrics clinical reports on the evaluation and treatment of ASD in one publication with an online table of contents and section view available through the American Academy of Pediatrics Gateway to help the reader identify topic areas within the report.

Atypicalities in sleep and semantic consolidation in autism

Sleep is known to support the neocortical consolidation of declarative memory, including the acquisition of new language. Autism spectrum disorder (ASD) is often characterized by both sleep and language learning difficulties, but few studies have explored a potential connection between the two. Here, 54 children with and without ASD (matched on age, nonverbal ability and vocabulary) were taught nine rare animal names (e.g., pipa). Memory was assessed via definitions, naming and speeded semantic decision tasks immediately after learning (pre‐sleep), the next day (post‐sleep, with a night of polysomnography between pre‐ and post‐sleep tests) and roughly 1 month later (follow‐up). Both groups showed comparable performance at pre‐test and similar levels of overnight change on all tasks; but at follow‐up children with ASD showed significantly greater forgetting of the unique features of the new animals (e.g., pipa is a flat frog). Children with ASD had significantly lower central non‐rapid eye movement (NREM) sigma power. Associations between spindle properties and overnight changes in speeded semantic decisions differed by group. For the TD group, spindle duration predicted overnight changes in responses to novel animals but not familiar animals, reinforcing a role for sleep in the stabilization of new semantic knowledge. For the ASD group, sigma power and spindle duration were associated with improvements in responses to novel and particularly familiar animals, perhaps reflecting more general sleep‐associated improvements in task performance. Plausibly, microstructural sleep atypicalities in children with ASD and differences in how information is prioritized for consolidation may lead to cumulative consolidation difficulties, compromising the quality of newly formed semantic representations in long‐term memory.

ASD Screening with the Child Behavior Checklist/1.5-5 in the Study to Explore Early Development

We analyzed CBCL/1½-5 Pervasive Developmental Problems (DSM-PDP) scores in 3- to 5-year-olds from the Study to Explore Early Development (SEED), a multi-site case control study, with the objective to discriminate children with ASD (N = 656) from children with Developmental Delay (DD) (N = 646), children with Developmental Delay (DD) plus ASD features (DD-AF) (N = 284), and population controls (POP) (N = 827). ASD diagnosis was confirmed with the ADOS and ADI-R. With a cut-point of T ≥ 65, sensitivity was 80% for ASD, with specificity varying across groups: POP (0.93), DD-noAF (0.85), and DD-AF (0.50). One-way ANOVA yielded a large group effect (η² = 0.50). Our results support the CBCL/1½-5's as a time-efficient ASD screener for identifying preschoolers needing further evaluation.

International comparisons of autism spectrum disorder behaviors in preschoolers rated by parents and caregivers/teachers

This study tested international similarities and differences in scores on a scale comprising 12 items identified by international mental health experts as being very consistent with the Diagnostic and Statistical Manual of Mental Disorders (5th ed.) category of autism spectrum disorder. Participants were 19,850 preschoolers in 24 societies rated by parents on the Child Behavior Checklist for Ages 1½-5; 10,521 preschoolers from 15 societies rated by caregivers/teachers on the Caregiver-Teacher Report Form, and 7380 children from 13 societies rated by both types of informant. Rank ordering of the items with respect to base rates and mean ratings was more similar across societies for parent ratings than caregiver/teacher ratings, especially with respect to the items tapping restricted interests and repetitive behaviors. Items 80. Strange behavior; 63. Repeatedly rocks head or body; 67. Seems unresponsive to affection; and 98. Withdrawn, doesn't get involved with others had low base rates in these population samples across societies and types of informants, suggesting that they may be particularly discriminating for identifying autism spectrum disorder in young children. Cross-informant agreement was stronger for the items tapping social communication and interaction problems than restricted interests and repetitive behaviors. The findings support the feasibility of international use of the scale for autism spectrum disorder screening in population samples.

Spotting Signs of Autism in 3-Year-Olds: Comparing Information from Parents and Preschool Staff

Preschool informants may provide valuable information about symptoms of autism spectrum disorder (ASD) in young children. We compared the diagnostic accuracy of ratings by preschool staff with those by parents of 3-year-old children using the Achenbach System of Empirically Based Assessment Preschool Forms. The sample consisted of 32 children at familial risk for ASD without diagnosis, 10 children at risk for ASD with diagnosis, and 14 low-risk typically developing controls. Preschool staff ratings were more accurate than parent ratings at differentiating children with and without ASD, and more closely associated with clinician-rated symptoms. These results point to the value of information from preschool informants in early detection and diagnostic assessments.

Effects of Lactobacillus plantarum PS128 on Children with Autism Spectrum Disorder in Taiwan: A Randomized, Double-Blind, Placebo-Controlled Trial

This four-week, randomized, double-blind, placebo-controlled study investigated the effects of Lactobacillus plantarum PS128 (PS128) on boys with autism spectrum disorder (ASD) aged 7-15 in Taiwan. All subjects fulfilled the criteria for ASD diagnosis of DSM-V and the Autism Diagnostic Interview-Revised (ADI-R). Questionnaires used for the primary outcome measure include the Autism Behavior Checklist-Taiwan version (ABC-T), the Social Responsiveness Scale (SRS) and the Child Behavior Checklist (CBCL). The Swanson, Nolan, and Pelham-IV-Taiwan version (SNAP-IV) and the Clinical Global Impression-improvement (CGI-I) were used for the secondary outcome measure. The results showed that PS128 ameliorated opposition/defiance behaviors, and that the total score of SNAP-IV for younger children (aged 712) improved significantly compared with the placebo group. Additionally, several elements were also notably improved in the PS128 group after 28-day consumption of PS128. Further studies are needed to better clarify the effects of PS128 for younger children with ASD on broader symptoms.

Assessment of Psychopathological Comorbidities in Children and Adolescents With Autism Spectrum Disorder Using the Child Behavior Checklist

Autism spectrum disorder (ASD) is characterized by psychiatric and behavioral comorbidities. The Child Behavior Checklist (CBCL) provides valid and well-established measures of emotional, behavioral, and social problems in children and adolescents. The aim of the present study was to verify whether emotional, behavioral, and social problems were modulated by ASD symptom severity, cognitive development, gender, and age by analyzing the CBCL in a large group of children and adolescents with ASD. The results show that around 30% of participants with ASD exhibited internalizing problems and only 6% externalizing problems, with males exhibiting more internalizing problems than females. No correlation was found between CBCL scores and indices of ASD severity. However, higher CBCL Total Problems scores were found in older children and in children with lower cognitive abilities. The detection of behavioral and emotional problems allows children with ASD to undergo specific and individualized treatment that takes into account their psychopathological problems.

Autism spectrum disorder

Autism spectrum disorder is a term used to describe a constellation of early-appearing social communication deficits and repetitive sensory-motor behaviours associated with a strong genetic component as well as other causes. The outlook for many individuals with autism spectrum disorder today is brighter than it was 50 years ago; more people with the condition are able to speak, read, and live in the community rather than in institutions, and some will be largely free from symptoms of the disorder by adulthood. Nevertheless, most individuals will not work full-time or live independently. Genetics and neuroscience have identified intriguing patterns of risk, but without much practical benefit yet. Considerable work is still needed to understand how and when behavioural and medical treatments can be effective, and for which children, including those with substantial comorbidities. It is also important to implement what we already know and develop services for adults with autism spectrum disorder. Clinicians can make a difference by providing timely and individualised help to families navigating referrals and access to community support systems, by providing accurate information despite often unfiltered media input, and by anticipating transitions such as family changes and school entry and leaving.

Screening in toddlers and preschoolers at risk for autism spectrum disorder: Evaluating a novel mobile-health screening tool

There are many available tools with varying levels of accuracy designed to screen for Autism Spectrum Disorder (ASD) in young children, both in the general population and specifically among those referred for developmental concerns. With burgeoning waitlists for comprehensive diagnostic ASD assessments, finding accurate methods and tools for advancing diagnostic triage becomes increasingly important. The current study compares the efficacy of four oft used paper and pencil measures, the Modified Checklist for Autism in Toddlers Revised with Follow-up, the Social Responsiveness Scale, Second Edition, and the Social Communication Questionnaire, and the Child Behavior Checklist to a novel mobile-health screening tool developed by Cognoa, Inc. (Cognoa) in a group of children 18-72 months of age. The Cognoa tool may have potential benefits as it integrates a series of parent-report questions with remote clinical ratings of brief video segments uploaded via parent's smartphones to calculate level of ASD risk. Participants were referred to one of three tertiary care diagnostic centers for ASD-related concerns (n = 230) and received a best estimate ASD diagnosis. Analysis and comparison of psychometric properties indicated potential advantages for Cognoa within this clinical sample across age ranges not often covered by another single measure/tool. Autism Res 2018, 11: 1038-1049. © 2018 International Society for Autism Research, Wiley Periodicals, Inc.

LAY SUMMARY

With the wait times getting longer for comprehensive Autism Spectrum Disorder (ASD) diagnostic assessments, it is becoming increasingly important to find accurate tools to screen for ASD. The current study compares four screening measures that have been in use for some time to a novel mobile-health screening tool, called Cognoa. The Cognoa tool is novel because it integrates parent-report questions with clinical ratings of brief video segments uploaded via parent's smartphones to calculate ASD risk. Two hundred thirty children who were referred to one of three ASD specialty diagnostic centers to see if they had ASD participated in the study. A direct comparison indicated potential advantages for Cognoa not often covered by another single measure/tool.

Touch Processing and Social Behavior in ASD

Abnormal patterns of touch processing have been linked to core symptoms in ASD. This study examined the relation between tactile processing patterns and social problems in 44 children and adolescents with ASD, aged 6-14 (M = 8.39 ± 2.35). Multiple linear regression indicated significant associations between touch processing and social problems. No such relationships were found for social problems and autism severity. Within touch processing, patterns of hyper-responsiveness and hypo-responsiveness best predicted social problems, whereas sensory-seeking did not. These results support that atypical touch processing in individuals with ASD might be contributing to the social problems they present. Moreover, it the need to explore more in depth the contribution of sensory features to the ASD phenotype.

Structure, longitudinal invariance, and stability of the Child Behavior Checklist 1½-5's Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Disorder scale: Findings from Generation R (Rotterdam)

Although the Child Behavior Checklist 1½-5's 12-item Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Problems Scale (formerly called Pervasive Developmental Problems scale) has been used in several studies as an autism spectrum disorder screener, the base rate and stability of its items and its measurement model have not been previously studied. We therefore examined the structure, longitudinal invariance, and stability of the Child Behavior Checklist 1½-5's Diagnostic and Statistical Manual of Mental Disorders-Autism Spectrum Problems Scale in the diverse Generation R (Rotterdam) sample based on mothers' ratings at 18 months (n = 4695), 3 years (n = 4571), and 5 years (n = 5752). Five items that seemed especially characteristic of autism spectrum disorder had low base rates at all three ages. The rank order of base rates for the 12 items was highly correlated over time (Qs ⩾ 0.86), but the longitudinal stability of individual items was modest (phi coefficients = 0.15-0.34). Confirmatory factor analyses indicated that the autism spectrum disorder scale model manifested configural, metric, and scalar longitudinal invariance over the time period from 18 months to 5 years, with large factor loadings. Correlations over time for observed autism spectrum disorder scale scores (0.25-0.50) were generally lower than the correlations across time of the latent factors (0.45-0.68). Results indicated significant associations of the autism spectrum disorder scale with later autism spectrum disorder diagnoses.

Autism spectrum disorder screening with the CBCL/1½-5: Findings for young children at high risk for autism spectrum disorder

The screening power of the CBCL/1½-5's Withdrawn and Diagnostic and Statistical Manual of Mental Disorders-Pervasive Developmental Problems (DSM-PDP) scales to identify children diagnosed with autism spectrum disorder at 24 months was tested in a longitudinal, familial high-risk study. Participants were 56 children at high risk for autism spectrum disorder due to an affected older sibling (high-risk group) and 26 low-risk children with a typically developing older sibling (low-risk group). At 24 months, 13 of the 56 high-risk children were diagnosed with autism spectrum disorder, whereas the other 43 were not. The high-risk children diagnosed with autism spectrum disorder group had significantly higher scores on the CBCL/1½-5's Diagnostic and Statistical Manual of Mental Disorders-Pervasive Developmental Problems and Withdrawn scales than children in the low-risk and high-risk children not diagnosed with autism spectrum disorder groups (ηp2>0.50). Receiver operating characteristic analyses yielded very high area under the curve values (0.91 and 0.89), and a cut point of T ⩾ 60 yielded sensitivity of 77% and specificity of 97% to 99% between the high-risk children diagnosed with autism spectrum disorder and the combination of low-risk and high-risk children not diagnosed with autism spectrum disorder. Consistent with several previous studies, the CBCL/1½-5's Diagnostic and Statistical Manual of Mental Disorders-Pervasive Developmental Problems scale and the Withdrawn syndrome differentiated well between children diagnosed with autism spectrum disorder and those not diagnosed.

Using the BASC-2 Parent Rating Scales to Screen for Autism Spectrum Disorder in Toddlers and Preschool-Aged Children

Early identification of toddlers and preschool-aged children with autism spectrum disorder (ASD) is important for ensuring that these youth receive targeted early intervention services. Identifying young children with ASD is complicated by overlap among symptoms of ASD and other developmental delays. Additionally, youth with ASD have a higher risk of experiencing co-occurring challenging behaviors that are beyond the diagnostic criteria for ASD (e.g., attention difficulties, anxiety). Given this, broadband behavioral assessments that measure symptoms of ASD as well as other behavioral and emotional challenges offer a cost-effective method for screening young children. The present study evaluated the utility of one such assessment, the Behavior Assessment System for Children, Second Edition, Parent Rating Scale-Preschool (BASC-2 PRS-P), for identifying young children with ASD from those with other diagnoses (including other developmental delays) and those without diagnoses. The sample included 224 toddlers and preschoolers (age range: 24-63 months, males n = 153 [68 % total sample]) who screened positive on an ASD-specific screening tool. Results demonstrated that the Developmental Social Disorders (DSD) scale on the BASC-2 PRS-P had adequate sensitivity and specificity values when distinguishing youth with ASD from those without any diagnoses, but not when differentiating between youth with ASD and those with other diagnoses. Similar to other multidimensional behavior rating scales, the BASC-2 PRS-P may be most useful for identifying young children who require comprehensive diagnostic evaluations.

EDUTEA: A DSM-5 teacher screening questionnaire for autism spectrum disorder and social pragmatic communication disorder

Teacher's reports about child psychopathology are often useful because they make it possible to compare children's development within their normative peer group. The EDUTEA questionnaire aims to provide clinicians and researchers with a brief tool that can be used to screen autism spectrum disorders and social communication disorders in school settings. Method: It was designed according to DSM-5 criteria and validated in a sample of 2,660 Spanish schoolers. Results: The EDUTEA showed a two-factor structure with high internal reliability: Social communication impairments (α=.95) and Restricted behaviour patterns (α=.93). The ROC curve showed that the area under the curve was highly predictive (.90). We propose using a cut-off score of 10, which gives high values of sensitivity (87%), specificity (91.2%) and positive predictive value (.87). Moderate correlations were found with the severity score of the Autism Diagnostic Observation Schedule (ADOS-2) and the child pragmatic competence. Conclusions: The EDUTEA could be useful in ASD screening protocols in schools.

Level 2 Screening With the PDD Behavior Inventory: Subgroup Profiles and Implications for Differential Diagnosis

The PDD Behavior Inventory (PDDBI) has recently been shown, in a large multisite study, to discriminate well between autism spectrum disorder (ASD) and other groups when its scores were examined using a machine learning tool, Classification and Regression Trees (CART). Discrimination was good for toddlers, preschoolers, and school-age children; generalized across clinical diagnostic sites; and agreed well with Autism Diagnostic Observation Schedule (ADOS) classifications. Results also revealed three subtypes of ASD: minimally verbal, verbal, and atypical that differed in developmental history, behavior profiles, and biomedical findings. Seven subtypes of Not-ASD children were identified, two of which were relatively common. Three of the remaining five relatively rare Not-ASD subgroups had highly atypical profiles marked either by extreme aggressiveness or by extreme ritualistic behaviors. PDDBI profiles of these rare subgroups were not previously characterized. In this study, profiles of all CART subgroups based on parent and teacher PDDBIs are described, along with their implications for diagnosis and assessment.

Parent-Reported Behavioral and Psychiatric Problems Mediate the Relationship between Sleep-Disordered Breathing and Cognitive Deficits in School-Aged Children

BACKGROUND

Numerous studies over the past several decades have illustrated that children who suffer from sleep-disordered breathing (SDB) are at greater risk for cognitive, behavioral, and psychiatric problems. Although behavioral problems have been proposed as a potential mediator between SDB and cognitive functioning, these relationships have not been critically examined.

METHODS

This analysis is based on a community-based cohort of 1,115 children who underwent overnight polysomnography, and cognitive and behavioral phenotyping. Structural model of the relationships between SDB, behavior, and cognition, and two recently developed mediation approaches based on propensity score weighting and resampling were used to assess the mediational role of parent-reported behavior and psychiatric problems in the relationship between SDB and cognitive functioning. Multiple models utilizing two different SDB definitions further explored direct effects of SDB on cognition as well as indirect effects through behavioral pathology. All models were adjusted for age, sex, race, BMI z-score, and asthma status.

RESULTS

Indirect effects of SDB through behavior problems were significant in all mediation models, while direct effects of SDB on cognition were not. The findings were consistent across different mediation procedures and remained essentially unaltered when different criteria for SDB, behavior, and cognition were used.

CONCLUSION

Potential effects of SDB on cognitive functioning appear to occur through behavioral problems that are detectable in this pediatric population. Thus, early attentional or behavioral pathology may be implicated in the cognitive functioning deficits associated with SDB, and may present an early morbidity-related susceptibility biomarker.