Early Identification and Interventions for Autism Spectrum Disorder: Executive Summary

Pre-autism: What a paediatrician should know about early diagnosis of autism‎

Autism, also known as an autism spectrum disorder, is a complex neurodevelopmental disorder usually diagnosed in the first three years of a child's life. A range of symptoms characterizes it and can be diagnosed at any age, including adolescence and adulthood. However, early diagnosis is crucial for effective management, prognosis, and care. Unfortunately, there are no established fetal, prenatal, or newborn screening programs for autism, making early detection difficult. This review aims to shed light on the early detection of autism prenatally, natally, and early in life, during a stage we call as "pre-autism" when typical symptoms are not yet apparent. Some fetal, neonatal, and infant biomarkers may predict an increased risk of autism in the coming baby. By developing a biomarker array, we can create an objective diagnostic tool to diagnose and rank the severity of autism for each patient. These biomarkers could be genetic, immunological, hormonal, metabolic, amino acids, acute phase reactants, neonatal brainstem function biophysical activity, behavioral profile, body measurements, or radiological markers. However, every biomarker has its accuracy and limitations. Several factors can make early detection of autism a real challenge. To improve early detection, we need to overcome various challenges, such as raising community awareness of early signs of autism, improving access to diagnostic tools, reducing the stigma attached to the diagnosis of autism, and addressing various culturally sensitive concepts related to the disorder.

Research on the design of somatosensory interactive games for autistic children based on art therapy

There is no targeted drug treatment for autistic children. Educational intervention and rehabilitation are the main ways to improve the ability development of autistic children. However, there are great differences in the individual symptoms and abilities. It is an urgent need for educators, practitioners and parents of autistic children to find effective ways to improve their cognitive, social and motor abilities. The author cooperates with the therapist to study and design the somatosensory interaction game for autistic children, which is a formal attempt of art therapy on the treatment tool, with the purpose of studying an effective and safe art intervention method. In order to verify the effect, the author recruited 26 children with mild or moderate autism for a six-week empirical evaluation, and the participants were randomly assigned. Among them, 13 participants participated in the art therapy of the proposed somatosensory game group (the experimental group), and 13 participants participated the traditional picture book group (the control group) that improved the emotion, cognition and skills of children, and the design style was more popular with children. The aesthetic design in the picture book could have an intervention effect on the participants, and its artistic effect could serve as an effective reference for the interface design of the game group. The results showed that the two groups had a significant impact on the participants in different aspects. The game group improved not only in terms of concentration and special ability, but also in terms of physical coordination and activity enhancement, it is inferred that the core factors of game therapy are sub-intervention, interaction and feedback, icon design and color matching system; the picture book group has significant improvement in interpersonal relationship guidance and language learning and communication. The results show that it is necessary to take more comprehensive and richer preliminary research on the development of treatment products for autistic children. Because picture book education requires children's initial concentration, it is found that picture book therapy has high requirements for teachers' classroom control and relatively strict requirements for picture book content, and play therapy can be a good complement to these problems.

Increasing collaboration and knowledge in school communities to enhance outcomes for autistic students

Purpose

This paper describes a case study of a developmental program evaluation on the Autism Community Toolkit, a collaborative skills training program for parents and school professionals. The purpose of this study was to examine the influence of the training on participants’ knowledge, competence and perceived collaboration; and potential improvements to the training program.

Design/methodology/approach

The program included multiple training sessions for families and school professionals, designed to educate participants on autism, evidence-based interventions and to increase home-school communication and collaboration. Data collection methods included pre- and post-measures and feedback forms.

Findings

Results indicated that the training program was beneficial for participants overall. Pre- and posttest measures indicated growth in knowledge and competency in autism interventions. While there were no statistically significant differences in the quantitative measure of collaboration, qualitative results suggest that participants reported increased collaboration posttraining.

Practical implications

Overall, the training program was effective, and the ongoing implementation assessment was conducive to continuous improvement. The authors also discuss difficulties with implementation and recommendations for future intervention implementation.

Originality/value

This case study provides practical information about creating, evaluating and improving a unique intervention designed to support school–home collaboration.

Diagnostic delay in children with neurodevelopmental conditions attending a publicly funded developmental assessment service: findings from the Sydney Child Neurodevelopment Research Registry

OBJECTIVES

Early developmental assessment is crucial for effective support and intervention. This study examined factors that contribute to (a) older child age when caregivers first became concerned about their child's development and (b) older child age at the point of entry into developmental and diagnostic assessment. We also quantified how factors contributed to risk of children not receiving an assessment by 5 years and considered the acceptability of electronic data capture for families.

DESIGN

This cross-sectional study collected information about caregiver developmental concerns, family history and child characteristics.

SETTING

Children and families entered a large, publicly funded hospital-based paediatric developmental assessment service.

PARTICIPANTS

Consecutively enrolled children (N=916) aged 6 months to 17 years with neurodevelopmental concerns and their caregivers.

MAIN OUTCOMES AND MEASURES

A developmental history questionnaire completed by caregivers.

RESULTS

The average age that caregivers identified developmental concerns was 3.0 years of age but the average age of a receiving a developmental assessment was 6.6 years. Only 46.4% of children received a diagnostic assessment by 5 years of age, even though 88.0% of caregivers were concerned about their child's development by that age. Parental age, relationship status, education level, prior use of support services and being from a culturally and linguistically diverse background contributed to age at identification of concern, age at diagnostic assessment and the likelihood of receiving a diagnostic assessment by 5 years. Electronic data capture had high acceptability, with 88.2% of caregivers reporting a preference for electronic completion of questionnaires.

CONCLUSIONS

The study shows a substantial delay in diagnostic assessments that leaves most vulnerable children without an assessment by school age and highlights contributors to delays. These delays highlight the complexity of delivering early intervention and support policies that rely on swift and appropriate developmental assessment to vulnerable families.

Separate scoring algorithms for specific identification priorities optimize the screening properties of the Screening Tool for Autism in Toddlers (STAT)

The Screening Tool for Autism in Toddlers (STAT) is a validated stage-2 autism spectrum disorder (ASD) screening measure that takes 20 minutes to administer and comprises 12 play-based items that are scored according to specific criteria. This study examines an expanded version (STAT-E) that includes the examiner's subjective ratings of children's social engagement (SE) and atypical behaviors (AB) in the scoring algorithm. The sample comprised 238 children who were 24-35 months old. The STAT-E assessors had limited ASD experience to mimic its use by community-based non-specialists, and were trained using a scalable web-based platform. A diagnostic evaluation was completed by clinical experts who were blind to the STAT-E results. Logistic regression, ROC curves, and classification matrices and metrics were used to determine the screening properties of STAT-E when scored using the original STAT scoring algorithm versus a new algorithm that included the SE and AB ratings. Inclusion of the SE and AB ratings improved positive risk classification appreciably, while the specificity declined. These results suggest that the STAT-E using the original STAT scoring algorithm optimizes specificity, while the STAT-E scoring algorithm with the two new ratings optimizes the positive risk classification. Using multiple scoring algorithms on the STAT may provide improved screening accuracy for diverse contexts, and a scalable web-based tutorial may be a pathway for increasing the number of community providers who can administer the STAT and contribute toward increased rates of autism screening.

The changing faces of autism: The fluctuating international diagnostic criteria and the resulting inclusion and exclusion-A Norwegian perspective

The common understanding of autism spectrum disorders (ASD) has gone through a number of permutations since the first description in 1943. Throughout these shifting understandings, there have been a number of behaviors and diagnostic criteria associated with the condition, many of which are missing in the most recent classifications. The rates of diagnoses of autism have increased greatly. However, there is no reason to think there has been any change in occurrence over the last 70 years, suggesting rather an increase in our knowledge and awareness. Autism has been the subject of several misapprehensions and misrepresentations throughout history. This might be due to heterogeneity of the cases. In addition, the diagnosing of autism spectrum disorders is mainly based on observation and behavioral interpretation, and thus dependent on subjective perceptions of the clinicians themselves. This current scoping review article intends to provide a view on the evolution of the concept of autism and the current stance within Norwegian scholarship, and how it is shaped by international discourses and cultural diversities Such changing concepts especially impacts people with the diagnosis, as it can affect their access to social services, as well as their self-identification as people with ASD.

Reducing Barriers to Autism Screening in Community Primary Care: A Pragmatic Trial Using Web-Based Screening

OBJECTIVE

To determine whether an intervention addressing both logistical and knowledge barriers to early screening for autism spectrum disorder (ASD) increases evidence-based screening during 18-month well-child visits and primary care providers' (PCPs') perceived self-efficacy in caring for children with ASD.

METHODS

Forty-six PCPs from 10 diverse practices across four counties in Washington State participated. PCPs attended a 2-hour training workshop on early recognition and care for toddlers with ASD and use of a REDCap-based version of the Modified Checklist for Autism in Toddlers-Revised with Follow-up (webM-CHAT-R/F) that provided automated presentation and scoring of follow-up questions. Data were collected at baseline and 6 months following each county's training window. PCPs' screening methods and rates and perceived self-efficacy regarding ASD care were measured by self-report and webM-CHAT-R/F use was measured via REDCap records.

RESULTS

At follow-up, 8 of the 10 practices were using the webM-CHAT-R/F routinely at 18-month visits. The proportion of PCPs reporting routine M-CHAT screening increased from 82% at baseline to 98% at follow-up (16% increase, 95% confidence interval [CI] 3%-28%; McNemar exact P = .02). The proportion using the M-CHAT-R/F follow-up interview questions increased from 33% to 82% (49% increase, 95% CI 30%-68%, exact McNemar test, P < .001). Significant increases in self-efficacy were found for all seven areas assessed (Ps ≤ .008).

CONCLUSIONS

This brief intervention increased PCPs' self-reported valid use of the M-CHAT-R/F at 18 months and their self-efficacy regarding ASD care. Combining educational information with a web-based ASD screen incorporating the M-CHAT-R/F follow-up questions may increase universal ASD screening with improved fidelity.

Quickstart for toddlers with autism spectrum disorder: A preliminary report of an adapted community-based early intervention program

BACKGROUND AND AIMS

Early intervention (EI) for young children with autism spectrum disorder (ASD) must be resource-efficient while remaining effective; thus, clinicians are challenged to create and implement useful methods. Clinical evidence from community-based interventions that include reliable diagnoses, individual EI programs, along with comprehensive descriptions of participants, procedures, and participant outcomes can inform practice, translational research, and local policy. Parent-mediated EI for toddlers with ASD can promote positive developmental outcomes and lifelong well-being, but evidence of successful community uptake of research-based EIs is somewhat limited. The community-based, parent-mediated, evidence-informed QuickStart EI program aims to encourage toddlers' early social communication, social interactions, and relationship-building, in a community clinic setting.We aim to (1) describe our adaptations to the evidence-based Parent-Delivered Early Start Denver Model and (2) present promising findings for toddlers with or at risk for ASD and their families who received QuickStart. We also intend to motivate a similar study of EI in real-world situations to advance evidence-based practice and create relevant dialogue and questions for research.

METHODS

Complete data were identified and analyzed for up to 89 toddlers diagnosed with, or at risk of, ASD. Pre- and post-intervention parent- or self-report data were analyzed using descriptive statistics and paired-sample t-tests, as appropriate. Pre-intervention measures included demographic information (n = 89) and the Early Screening of Autism and Communication (ESAC; n = 89). Measures taken pre- and post-intervention included the Adaptive Behavior Assessment System-II (n = 60), MacArthur-Bates Communication Development Inventories (n = 58), and the parental sense of competence scale (n = 62). The Measure of Processes of Care (n = 60) was taken post-intervention. On enrollment, parents signed standard clinical agreements that included statements allowing their anonymous data to be analyzed for research.

RESULTS

Using standardized parent/self-report measures, toddler gains were noted for social interaction, language, communication skills, and ASD symptoms, but not for parents' feelings of competence. Parents identified QuickStart procedures as family centered (Measure of Processes of Care).

CONCLUSIONS

The QuickStart EI program, provided to toddlers and their families over 20 weeks in a community clinic, resulted in promising positive behavior and communication changes, as indicated on the parent-response measures, for a moderately large sample of toddlers.

IMPLICATIONS

This study adds to the literature by describing a new EI program with clear procedures by which clinicians can create, provide, and evaluate a readily accessible, community-based EI for toddlers with or at risk of ASD. Methodological limitations inherent to our study design that precluded a control group and necessitated a reliance on available parent-report data are carefully critiqued and discussed.

Feeding Problems Including Avoidant Restrictive Food Intake Disorder in Young Children With Autism Spectrum Disorder in a Multiethnic Population

We examined feeding problems, including Avoidant Restrictive Food Intake Disorder (ARFID), in preschool children with Autism Spectrum Disorder (ASD). Data were collected from a prospective longitudinal study of 46 children with ASD in a multiethnic, low resource area in Gothenburg, Sweden. Feeding problems were found in 76% of the children with ASD, and in 28%, the criteria for ARFID were met. The study highlights early onset age, the heterogeneity of feeding problems, and the need for multidisciplinary assessments in ASD as well as in feeding problems, and also the need for further elaboration of feeding disorder classifications in children.

Altered Metabolic Characteristics in Plasma of Young Boys with Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a serious neurodevelopmental disorder with no clinical biomarker. This study used untargeted metabolomic analysis to identify metabolic characteristics in plasma that can distinguish ASD children. 29 boys with ASD (3.02 ± 0.67 years) and 30 typically developing (TD) boys (3.13 ± 0.46 years) were recruited. Developmental and behavioral assessments were conducted in ASD group. Samples of plasma were analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The association between metabolite concentration and scale score was assessed by Spearman rank correlation. Altered metabolic characteristics were found in boys with ASD. In Receiver Operating Characteristic (ROC) analysis, ornithine had the highest AUC (Area under ROC) value. Furthermore, the concentration of choline and ornithine was negatively correlated with ABC-language score in ASD group.

Family Impact During the Time Between Autism Screening and Definitive Diagnosis

Over the past 10 years, identification of Autism Spectrum Disorder (ASD) risk has dramatically increased due to the wide-spread implementation of screening programs; yet, there is limited understanding about parent perceptions and experiences during the time period when risk is identified, but prior to receiving a formal diagnosis-a period that can last months to years given the long wait-lists for formal ASD evaluations. The current study aimed to examine parent perceptions of family impact (i.e., the impact their child's behaviors have on the family) between the time of risk-identification and formal diagnosis among 277 children identified as at-risk for ASD through screening positive in primary care. We aimed to compare family impact among those whose child met diagnostic criteria for ASD and those who did not. Parents of children who received a non-ASD diagnosis reported a higher baseline level of family impact (F[1, 274] = 5.82, p = .017); however, perceived difficult child behavior was a stronger predictor of family impact (t[6] = 13.11, p < .001) than later diagnostic group (t[6] = - 2.10, p = .037), and child functioning did not predict family impact (t[6] = -0.31, p = .76). These results suggest that in this population, perceived difficult child behavior is a stronger predictor of family impact than later diagnostic category and should be considered an important factor in family support.

Parental evaluation of a revised autism spectrum disorder diagnostic process for children under 36 months of age

Background

The Alberta Children's Hospital-Autism Spectrum Disorder Diagnostic Clinic (ACH-ASDC) was restructured due to long wait times and unsustainable clinic workflow. Major changes included the initiation of pre- and post-ASD parent education sessions and distinct ASD screening appointments before the ASD diagnostic appointment.

Methods

We conducted a parental program evaluation in summer 2018 of the ACH-ASDC. We used a cross-sectional survey to evaluate key outcomes including parental satisfaction, and the percentage of families obtaining access to government supports and early intervention programs.

Results

For the 101 eligible patients diagnosed with ASD under 36 months of age 70 (69.3%) parents agreed to participate. The mean diagnostic age of the children diagnosed with ASD was 30.6 months (SD=4.1 months). There were no statistically significant age differences between biological sexes. Ninety-three per cent of parents felt that ASD educational sessions were useful, and 92% of parents were satisfied to very satisfied with the overall ASD diagnostic process. Ninety per cent of parents had access to at least one of the key resources available for ASD early intervention in our province following diagnosis. Parents reported a positive impact on intervention provided to their child in the areas of communication, social interaction, and behaviour.

Conclusion

Parents of children diagnosed with ASD expressed a high level of satisfaction with the restructured ACH-ASDC process. Implementing parent education sessions was well received and met parents' needs. Parents were able to access intervention services following diagnosis and reported positive impacts for their child. Re-envisioning program approaches to incorporate novel strategies to support families should be encouraged.

Effect of Brief Training to Identify Autism Spectrum Disorder During Toddler Well-Child Care Visits

OBJECTIVE

To examine the effect of a brief Enhanced training using the information-motivation-behavior (IMB) change model on improving providers' surveillance rates and accuracy of autism spectrum disorder (ASD) detection.

METHOD

Toddlers (n = 5,672) were screened for ASD during their pediatric well-child visits. Pediatric providers (n = 120) were randomized to receive Enhanced (incorporating components of the IMB model) or Control training. Providers indicated whether they had an ASD concern at each well-child visit. Toddlers who were positive on any screener and/or whose provider indicated ASD concern were invited for a diagnostic evaluation. Differences in provider-indicated ASD concerns before and after training were evaluated using log-linear analyses.

RESULTS

The Enhanced training did not have a significant effect on provider-endorsed ASD concerns (p = 0.615) or accuracy of endorsing concerns (p = 0.619). Providers in the Control training showed a significant reduction in indicating whether or not they had concerns after the training (from 71.9% to 64.3%), which did not occur in the Enhanced group. The Enhanced training led to more frequent endorsements of language (χ2 = 8.772, p = 0.003) and restricted and repetitive behavior (χ2 = 7.918, p = 0.005) concerns for children seen after training.

CONCLUSION

Provider training had limited impact on ASD surveillance, indicating the importance of using formal screening instruments that rely on parent report during well-child visits to complement developmental surveillance. Future research should examine whether providers who indicate specific concerns are more likely to accurately refer children for ASD evaluations.

Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms

OBJECTIVE

To develop and validate deep learning (DL) methods for diagnosing autism spectrum disorder (ASD) based on conventional MRI (cMRI) and apparent diffusion coefficient (ADC) images.

METHODS

A total of 151 ASD children and 151 age-matched typically developing (TD) controls were included in this study. The data from these subjects were assigned to training and validation datasets. An additional 20 ASD children and 25 TD controls were acquired, whose data were utilized in an independent test set. All subjects underwent cMRI and diffusion-weighted imaging examination of the brain. We developed a series of DL models to separate ASD from TD based on the cMRI and ADC data. The seven models used include five single-sequence models (SSMs), one dominant-sequence model (DSM), and one all-sequence model (ASM). To enhance the feature detection of the models, we embed an attention mechanism module.

RESULTS

The highest AUC (0.824 ~ 0.850) was achieved when applying the SSM based on either FLAIR or ADC to the validation and independent test sets. A DSM using the combination of FLAIR and ADC showed an improved AUC in the validation (0.873) and independent test sets (0.876). The ASM also showed better diagnostic value in the validation (AUC = 0.838) and independent test sets (AUC = 0.836) compared to the SSMs. Among the models with attention mechanism, the DSM achieved the highest diagnostic performance with an AUC, accuracy, sensitivity, and specificity of 0.898, 84.4%, 85.0%, and 84.0% respectively.

CONCLUSIONS

This study established the potential of DL models to distinguish ASD cases from TD controls based on cMRI and ADC images.

KEY POINTS

• Deep learning models based on conventional MRI and ADC can be used to diagnose ASD. • The model (DSM) based on the FLAIR and ADC sequence achieved the best diagnostic performance with an AUC of 0.836 in the independent test sets. • The attention mechanism further improved the diagnostic performance of the models.

A systematic review of studies that used NIRS to measure neural activation during emotion processing in healthy individuals

Functional neuroimaging provides an avenue for earlier diagnosis and tailored treatment of psychological disorders characterised by emotional impairment. Near-infrared spectroscopy (NIRS) offers ecological advantages compared to other neuroimaging techniques and suitability of measuring regions involved in emotion functions. A systematic review was conducted to evaluate the capacity of NIRS to detect activation during emotion processing and to provide recommendations for future research. Following a comprehensive literature search, we reviewed 85 journal articles, which compared activation during emotional experience, regulation or perception with either a neutral condition or baseline period among healthy participants. The quantitative synthesis of outcomes was limited to thematical analysis, owing to the lack of standardisation between studies. Although most studies found increased prefrontal activity during emotional experience and regulation, the findings were more inconsistent for emotion perception. Some researchers reported increased activity during the task, some reported decreases, some no significant changes, and some reported mixed findings depending on the valence and region. We propose that variations in the cognitive task and stimuli, recruited sample, and measurement and analysis of data are the primary causes of inconsistency. Recommendations to improve consistency in future research by carefully considering the choice of population, cognitive task and analysis approach are provided.

Experience with the Rapid Interactive Test for Autism in Toddlers in an Autism Spectrum Disorder Diagnostic Clinic

OBJECTIVE

To examine the psychometric properties of the Rapid Interactive Screening Test for Autism in Toddlers (RITA-T) in an autism spectrum disorder (ASD) clinic for children aged 18 to 36 months.

METHODS

The RITA-T (level 2 screening instrument) was integrated into an ASD screening and diagnostic process for evaluating children aged 18 to 36 months who were referred to a pediatric tertiary care center. Scoring of the RITA-T to differentiate ASD from non-ASD developmental concerns was evaluated. Screening instrument measurements included sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+), and negative likelihood ratio (LR-).

RESULTS

From a total of 239 participants aged 18 to 36 months (males = 78% and females = 22%), 201 (84%) were diagnosed with ASD (4:1 male-to-female ratio). An ASD diagnosis was significantly associated with RITA-T scores, with ASD patients scoring higher than non-ASD patients [F (1,235) = 170, mean difference: males 9.21, mean difference: females 12.4, p < 0.001]. The RITA-T score was not statistically correlated with age or sex. The optimal cutoff score of ≥14 was determined from a receiver operator curve analysis (area under the curve = 0.953). In the study group, with a cutoff score of ≥14, the RITA-T showed a sensitivity of 0.97, specificity of 0.71, PPV of 0.95, NPV of 0.79, LR+ of 3.33, and LR- of 0.05.

CONCLUSION

The RITA-T, as a level 2 screening instrument for ASD, exhibits discriminative psychometric properties similar to previously published results. When integrated into an ASD screening and diagnostic process for families for whom concerns about ASD have been raised with their children aged 18 to 36 months, the RITA-T helps to predict a best-estimate clinical diagnosis of ASD.

Brief Report: Use of the Infant-Toddler Checklist in Infant Siblings of Children with Autism Spectrum Disorder

Few studies have explored autism spectrum disorder (ASD) screening in the first year of life. The current investigation examines the psychometric properties of the Infant-Toddler Checklist starting in the first year of life in a sample at elevated and average risk for ASD based on family history. 283 participants were followed from 6 to 36 months, when diagnostic outcome was determined. The results indicated low to moderate sensitivity, specificity, and positive predictive value across ages for broadly distinguishing any delays from typical development, as well as for more narrowly discriminating children with ASD from those who were typically developing. Implications for utilizing ASD screening tools in the first year of life with high risk samples are discussed.

Toward quantitative assessment of deformational plagiocephaly and brachycephaly at the point-of-care

Purpose: Develop and validate algorithms that can enable a novice user to quantitatively measure the head shape parameters associated with deformational plagiocephaly and brachycephaly (DPB) using 2D rendered images. Approach: First, the head contour is extracted semi-automatically using the intelligent scissors method. We then automatically compute two indices used in the clinical determination of the DPB from the head shape parameters: the cranial index (CI) and the cranial vault asymmetry index (CVAI). We also present methods to quantify and compensate for the user variability, including camera angle and distance from the head using 2D rendered images. We compared the results of our technology with ground-truth (GT) measurements from 53 infants with DPB and normal cranial parameters. Results: The Spearman correlation coefficient between the new 2D rendered method and the 3D GT was 0.94 ( p < 0.001 ) and 0.96 ( p < 0.001 ) for CI and CVAI, respectively. Different simulated camera angles and distances from the head resulted in variation in CI and CVAI in the range of [ - 2.0 , 6.0 ] and [ - 4.0 , 4.0 ] units, respectively. The limits of agreement of the Bland-Altman test were reduced from [ - 3.6 , 5.3 ] and [ - 3.6 , 4.2 ] to [ - 0.5 , 3.0 ] and [ - 1.3 , 1.6 ] for CI and CVAI, respectively, by combining results from different camera angles and positions in our method. The overall accuracy of the proposed technology for DPB detection was 100%. Conclusions: The 2D rendered images of the head can be accurately analyzed to assess DPB. Further study on 2D photos taken from human subjects is warranted.

Exploring Social Biomarkers in High-Functioning Adults with Autism and Asperger's Versus Healthy Controls: A Cross-Sectional Analysis

Biomarkers for autism spectrum disorder (ASD) are lacking but would facilitate drug development for the core deficits of the disorder. We evaluated markers proposed for characterization of differences in social communication and interaction in adults with ASD versus healthy controls (HC) for utility as biomarkers. Data pooled from an observational study and baseline data from a placebo-controlled study were analyzed. Between-group differences were observed in eye-tracking tasks for activity monitoring, biomotion, human activity preference, composite score (p = 0.0001-0.037) and pupillometry (various tasks, p = 0.017-0.05). Impaired olfaction was more common in the ASD sample versus HC (p = 0.018). Our preliminary results suggest the potential use for stratification and response sub-analyses outcome-prediction of specific eye-tracking tasks, pupillometry and olfaction tests in ASD trials.

Systematic approach to school-based assessments for autism spectrum disorders to reduce inequalities: a feasibility study in 10 primary schools

OBJECTIVES

This was a pilot study to explore whether the Early Years Foundation Stage Profile (EYFSP) carried out by UK teachers within the 'reception' year, combined with the Social Communication Questionnaire (SCQ), can lead to early identification of children with autism spectrum disorders (ASD) and early access to intervention and can reduce inequity in access to assessment and intervention.

DESIGN

Pragmatic prospective cohort.

SETTING

Ten primary schools from the SHINE project in Bradford.

PARTICIPANTS

587 pupils from 10 schools who transitioned from reception to year 1 in July 2017 and had the EYFSP completed were included in the final study.

INTERVENTIONS

The assessment involved a multidisciplinary team of three staff who completed Autism Diagnostic Interview-Revised, Autism Diagnostic Observation Schedule Version 2, classroom observations with an ASD checklist, a teacher-based ASD questionnaire and a final consensus meeting.

PRIMARY OUTCOME MEASURE

National Institute for Health and Care Excellence guideline-compliant clinical diagnosis of ASD.

SECONDARY OUTCOME MEASURES

Age of diagnosis, demographic data and feasibility parameters.

RESULTS

Children with low scores on the EYFSP were more likely to score above the SCQ threshold of 12, indicating potential autism (50% compared with 19% of children with high scores on the EYFSP (p<0.001)). All children scoring above the SCQ threshold received a full autism assessment; children who scored low on the EYFSP were more likely to be diagnosed with autism (and other developmental issues) compared with those who did not.

CONCLUSIONS

We identified nine new children with a diagnosis of ASD, all from ethnic minorities, suggesting that this process may be addressing the inequalities in early diagnosis found in previous studies. All children who scored above the SCQ threshold required support (ie, had a neurodevelopmental disorder), indicating the EYFSP questionnaire captured 'at-risk' children.

Parents of Children Diagnosed with Autism Spectrum Disorder: What Do They Expect and Experience from Preschools?

BACKGROUND

In Sweden, children diagnosed with autism spectrum disorders (ASD) as well as other children in need of special support, according to the law should be provided stimulation and support for their development in their preschools. Parents of children diagnosed with ASD have been shown to struggle to ensure the right to support for their child from society, including in preschool. This study reports parent expectations and experiences when having a child diagnosed with ASD in preschool.

METHODS

A questionnaire with 12 open-ended and 9 multiple-choice questions was completed by parents of 26 children (3 girls, 23 boys, mean age 4:3 years). The children had been diagnosed with ASD within the last year. The data were analyzed using a qualitative inductive approach with a content analysis of the open-ended questions.

FINDINGS AND CONCLUSIONS

This study shows that parents expect competence and knowledge about ASD among preschool staff, including the principal. They need continuous dialogue between parents and the preschool staff and expect individualized support for their child. Concerns about their child in preschool frequently occurred.

One-Year Follow-Up Diagnostic Stability of Autism Spectrum Disorder Diagnosis in a Clinical Sample of Children and Toddlers

Some studies show that the diagnosis of Autism Spectrum Disorder could be considered reliable and stable in children aged 18 to 24 months. Nevertheless, the diagnostic stability of early ASD diagnosis has not yet been fully demonstrated. This observational study examines the one-year diagnostic stability of autism spectrum disorder diagnosis in a clinical sample of 147 children diagnosed between 18 and 48 months of age. The ADOS-2 scores were used in order to stratify children in three levels of symptom severity: Autism (AD; comparison score 5–7), Autism Spectrum Disorder (ASD; comparison score 3–4), and Sub-Threshold Symptoms; (STS; comparison score 1–2). Results: Overall, the largest part of children and toddlers diagnosed with autism spectrum disorder between 18 and 48 months continued to show autistic symptoms at one-year follow-up evaluation. Nevertheless, a significant percentage of children with higher ADOS severity scores exhibited a reduction of symptom severity and, therefore, moved towards a milder severity class one year later. Conversely, the number of subjects of the STS group meaningfully increased. Therefore, at one-year follow-up a statistically significant (χ²(2) = 181.46, p < 0.0001) percentage of subjects (25.2% of the total) who had received a categorical diagnosis of Autistic Disorder or Autism Spectrum Disorder in baseline no longer met the criteria for a categorical diagnosis. Furthermore, children who no longer met the criteria for autism spectrum disorder continue to show delays in one or more neurodevelopmental areas, possibly related to the emergence of other neurodevelopmental/neuropsychiatric disorders. Overall, the comprehensive results of the study account for a high sensibility but a moderate stability of ASD early diagnosis.

Quantitative definition of neurobehavior, vision, hearing and brain volumes in macaques congenitally exposed to Zika virus

Congenital Zika virus (ZIKV) exposure results in a spectrum of disease ranging from severe birth defects to delayed onset neurodevelopmental deficits. ZIKV-related neuropathogenesis, predictors of birth defects, and neurodevelopmental deficits are not well defined in people. Here we assess the methodological and statistical feasibility of a congenital ZIKV exposure macaque model for identifying infant neurobehavior and brain abnormalities that may underlie neurodevelopmental deficits. We inoculated five pregnant macaques with ZIKV and mock-inoculated one macaque in the first trimester. Following birth, growth, ocular structure/function, brain structure, hearing, histopathology, and neurobehavior were quantitatively assessed during the first week of life. We identified the typical pregnancy outcomes of congenital ZIKV infection, with fetal demise and placental abnormalities. We estimated sample sizes needed to define differences between groups and demonstrated that future studies quantifying brain region volumes, retinal structure, hearing, and visual pathway function require a sample size of 14 animals per group (14 ZIKV, 14 control) to detect statistically significant differences in at least half of the infant exam parameters. Establishing the parameters for future studies of neurodevelopmental outcomes following congenital ZIKV exposure in macaques is essential for robust and rigorous experimental design.

Overcoming Language Barriers between Interventionists and Immigrant Parents of Children with Autism Spectrum Disorder

This study used a video prompting intervention to overcome language barriers between English-speaking trainers and Spanish-speaking immigrant parents of children with autism. Parents were taught instructional skills targeting independent dressing. A multiple baseline design across three families and a replication using an alternating treatments design with a fourth family were used to evaluate the effects of the intervention. All mothers reached mastery criterion and generalization of instructional skills was observed for three mothers, with treatment gains maintaining during follow-up. Improvement in independent dressing skills was observed for four children. Findings suggest that video prompting can be used to teach immigrant parents of children with autism who have limited English proficiency when there is a language mismatch between parents and trainers.

Future Directions for Infant Identification and Intervention for Autism Spectrum Disorder from a Transdiagnostic Perspective

By the time they are typically detected, neurodevelopmental disorders like autism spectrum disorder (ASD) are already challenging to treat. Preventive and early intervention strategies in infancy are critical for improving outcomes over the lifespan with significant cost savings. However, the impact of prevention and early intervention efforts is dependent upon our ability to identify infants most appropriate for such interventions. Because there may be significant overlap between prodromal symptoms across neurodevelopmental disorders and child psychopathology more broadly which may wax and wane across development, we contend that the impact of prevention and early intervention efforts will be heightened by identifying early indicators that may overlap across ASD and other commonly co-occurring disorders. This paper summarizes the existing literature on infant symptoms and identification of ASD to demonstrate the ways in which a transdiagnostic perspective could expand the impact of early identification and intervention research and clinical efforts, and to outline suggestions for future empirical research programs addressing current gaps in the identification-to-treatment pipeline. We propose four recommendations for future research that are both grounded in developmental and clinical science and that are scalable for early intervention systems: (1) development of fine-grained, norm-referenced measures of ASD-relevant transdiagnostic behavioral domains; (2) identification of shared and distinct mechanisms influencing the transition from risk to disorder; (3) determination of key cross-cutting treatment strategies (both novel and extracted from existing approaches) effective in targeting specific domains across disorders; and (4) integration of identified measures and treatments into existing service systems.

Primary Care Providers' Perceived Barriers and Needs for Support in Caring for Children with Autism

A mixed methods approach was used to examine perspectives of 114 primary care providers regarding barriers and needs for support in caring for children with autism. The most common barriers related to lack of knowledge and resources for diagnosing and treating children with autism, and inadequate visit time and reimbursement.

Physician Assistant Students' Competency to Identify and Diagnose Autism Spectrum Disorder

PURPOSE

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by deficits in communication and reciprocal social interactions. Little research has focused on the evaluation of developmental/behavioral pediatric education in the physician assistant (PA) curriculum. Therefore, the aims of this study were to evaluate whether PA students received training in identifying the red flags of ASD, using screening tests such as the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F). Additionally, the study sought to determine if PA students received education on the evaluation and management of children with ASD along with the methods to communicate effectively with their caretakers.

METHODS

A survey open to PA students was administered by the American Academy of PAs. Demographic information along with questions on knowledge and perceptions related to ASD were asked. Perceptions of preparation to discuss ASD with patient caregivers were assessed, along with vaccination beliefs, and training information was collected.

RESULTS

A total of 213 PA students answered the survey. Students received training regarding the red flags for ASD as well as ASD-related skills. Of note, 58.2% did not receive training on administration of the M-CHAT-(R/F) and 54.9% did not receive training to provide care to patients with ASD; 77.8% received training to understand pediatric developmental milestones. PA students overwhelmingly rejected the suggestion that there is a link between vaccines and ASD.

CONCLUSION

The importance of diagnosing ASD as early as possible has been demonstrated by years of research; yet, this study concludes that many students still do not feel comfortable recognizing the red flags or using screening tools. Although the majority of PA students received training to understand developmental milestones, many did not know how to administer the M-CHAT-(R/F), which is key to making an early diagnosis.

Identifying prognostic markers in autism spectrum disorder using eye tracking

While many children with autism spectrum disorder are now detected at young ages given the rise in screening and general awareness, little is known regarding the prognosis of early detected children. The brain is shaped by experience-dependent mechanisms; thus, what a child pays attention to plays a pivotal role in shaping brain development. Eye tracking can provide an index of a child's visual attention and, as such, holds promise as a technology for revealing prognostic markers. In this, 49 children aged 1-3 years with autism spectrum disorder participated in an eye-tracking test, the GeoPref Test, that revealed preference for social versus nonsocial images. Next, children participated in a comprehensive test battery 5-9 years following the initial GeoPref Test. Statistical tests examined whether early age eye tracking predicted later school-age outcomes in symptom severity, social functioning, adaptive behavior, joint attention, and IQ. Results indicated that toddlers with higher preference for geometric images demonstrated greater symptom severity and fewer gaze shifts at school age. This relationship was not found in relation to IQ or adaptive behavior. Overall, the GeoPref Test holds promise as a symptom severity prognostic tool; further development of eye-tracking paradigms may enhance prognostic power and prove valuable in validating treatment progress.

Research Review: Outcomes of 24- to 36-month-old children with autism spectrum disorder vary by ascertainment strategy: a systematic review and meta-analysis

BACKGROUND

Despite widespread recommendations for early surveillance of risk for autism spectrum disorder (ASD), no research to date has shown that early surveillance leads to better clinical outcomes. Preliminary research has suggested that children with ASD ascertained via prospective follow-up have better outcomes than those ascertained via community referral. Because prospective studies include early surveillance, by comparing outcomes of children with ASD across ascertainment strategies, we may gain insight into the effects of early surveillance relative to its absence.

METHODS

A systematic review was conducted to identify studies reporting outcomes of 24- to 36-month-olds with ASD ascertained via prospective follow-up, community referral, or universal screening. A meta-analysis using a random effects model was used to calculate overall effect size estimates for developmental level and symptom severity across ascertainment cohorts.

RESULTS

Eleven prospective, ten community referral, and eight universal screening studies were identified, reporting on 1,658 toddlers with ASD. We found no differences in outcomes between community referral and universal screening studies. Relative to both, prospective studies reported significantly higher developmental levels and lower symptom severities.

CONCLUSIONS

Outcomes of young children with ASD ascertained via prospective follow-up are better than those of children with ASD recruited via community referral or universal screening. Although we discuss why sampling bias is not likely the driving force behind these findings, we cannot rule out the possibility that sampling bias contributes to the observed differences; future studies should probe the effects of sociodemographic variables on clinical outcomes as a function of ascertainment strategy. This limitation notwithstanding, our results raise the possibility that prospective follow-up may confer a 'surveillance effect' that contributes to improved developmental and diagnostic outcomes in children with ASD. Future research should test this hypothesis and determine the specific mechanism by which surveillance may improve outcomes.

Post-diagnostic management and follow-up care for autism spectrum disorder

Paediatricians and other primary care providers are well positioned to provide or coordinate ongoing medical and psychosocial care and support services for children with autism spectrum disorder (ASD). This statement provides recommendations and information on a range of interventions and resources, to help paediatric care providers optimize care for children with ASD and support their families. The management of ASD includes treating medical and psychiatric co-morbidities, behavioural and developmental interventions, and providing supportive social care services to enhance quality of life for affected children and families.

La prise en charge et le suivi du trouble du spectre de l’autisme une fois le diagnostic posé

Les pédiatres et les autres dispensateurs de soins de première ligne sont bien placés pour fournir ou coordonner des soins médicaux et psychosociaux continus et des services de soutien aux enfants ayant un trouble du spectre de l’autisme (TSA). Le présent document de principes fournit des recommandations et de l’information sur une série d’interventions et de ressources en vue d’aider les dispensateurs de soins pédiatriques à optimiser les soins aux enfants ayant un TSA et de soutenir les familles. La prise en charge du TSA inclut le traitement des affections physiques et psychiatriques associées, les interventions comportementales et développementales et la prestation de services sociaux pour améliorer la qualité de vie des enfants touchés et de leur famille.

Early Autism Screening: A Comprehensive Review

Autistic spectrum disorder (ASD) refers to a neurodevelopmental condition associated with verbal and nonverbal communication, social interactions, and behavioural complications that is becoming increasingly common in many parts of the globe. Identifying individuals on the spectrum has remained a lengthy process for the past few decades due to the fact that some individuals diagnosed with ASD exhibit exceptional skills in areas such as mathematics, arts, and music among others. To improve the accuracy and reliability of autism diagnoses, many scholars have developed pre-diagnosis screening methods to help identify autistic behaviours at an early stage, speed up the clinical diagnosis referral process, and improve the understanding of ASD for the different stakeholders involved, such as parents, caregivers, teachers, and family members. However, the functionality and reliability of those screening tools vary according to different research studies and some have remained questionable. This study evaluates and critically analyses 37 different ASD screening tools in order to identify possible areas that need to be addressed through further development and innovation. More importantly, different criteria associated with existing screening tools, such as accessibility, the fulfilment of Diagnostic and Statistical Manual of Mental Disorders (DSM-5) specifications, comprehensibility among the target audience, performance (specifically sensitivity, specificity, and accuracy), web and mobile availability, and popularity have been investigated.

Exploring cortical activation and connectivity in infants with and without familial risk for autism during naturalistic social interactions: A preliminary study

Behavioral signs of Autism Spectrum Disorder (ASD) are typically observable by the second year of life and a reliable diagnosis of ASD is possible by 2 to 3 years of age. Studying infants with familial risk for ASD allows for the investigation of early signs of ASD risk within the first year. Brain abnormalities such as hyper-connectivity within the first year may precede the overt signs of ASD that emerge later in life. In this preliminary study, we use functional near-infrared spectroscopy (fNIRS), an infant-friendly neuroimaging tool that is relatively robust against motion artifacts, to examine functional activation and connectivity during naturalistic social interactions in 9 high-risk (HR; older sibling with ASD) and 6 low-risk (LR; no family history of ASD) infants from 6 to 9 months of age. We obtained two 30-second baseline periods and a 5-minute social interaction period. HR infants showed reduced right and left-hemispheric activation compared to LR infants based on oxy (HbO₂) and deoxy (HHb) signal trends. HR infants also had greater functional connectivity than LR infants during the pre- and post-social periods and showed a drop in connectivity during the social period. Our findings are consistent with previous work suggesting early differences in cortical activation associated with familial risk for ASD, and highlight the promise of fNIRS in evaluating potential markers of ASD risk during naturalistic social contexts.

Practice Patterns for Early Screening and Evaluation for Autism Spectrum Disorder Diagnosis in Bulgaria

The aims of this study were to describe the practice patterns for early screening and evaluation for ASD diagnosis in Bulgaria, as well as to identify potential barriers and facilitators in this process. We surveyed a sample of pediatricians and pediatric psychiatrists to analyze the use of standardized instruments, application of biomarkers, parental collaboration and future policy prospects. We found a significant support for the idea of a national program for ASD in Bulgaria. These insights provide an evidence-based analysis that could help improve services, guide research and inform policies in regard to ASD. Further work is necessary to better understand other stakeholders' opinions and perspectives, especially those of patients and their families.

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.

Labeling images with facial emotion and the potential for pediatric healthcare

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by repetitive behaviors, narrow interests, and deficits in social interaction and communication ability. An increasing emphasis is being placed on the development of innovative digital and mobile systems for their potential in therapeutic applications outside of clinical environments. Due to recent advances in the field of computer vision, various emotion classifiers have been developed, which have potential to play a significant role in mobile screening and therapy for developmental delays that impair emotion recognition and expression. However, these classifiers are trained on datasets of predominantly neurotypical adults and can sometimes fail to generalize to children with autism. The need to improve existing classifiers and develop new systems that overcome these limitations necessitates novel methods to crowdsource labeled emotion data from children. In this paper, we present a mobile charades-style game, Guess What?, from which we derive egocentric video with a high density of varied emotion from a 90-second game session. We then present a framework for semi-automatic labeled frame extraction from these videos using meta information from the game session coupled with classification confidence scores. Results show that 94%, 81%, 92%, and 56% of frames were automatically labeled correctly for categories disgust, neutral, surprise, and scared respectively, though performance for angry and happy did not improve significantly from the baseline.

The Role of Demographics in the Age of Autism Diagnosis in Jerusalem

Early diagnosis of autism spectrum disorder (ASD) in children enables earlier access to services and better ability to predict subsequent development. A vast body of literature consistently shows discrepancies in the age of diagnosis between children from varying socio-economic levels, cultural and ethnic backgrounds. The present study examines the effect of sociodemographic factors on age of ASD diagnosis among the three primary ethnic sectors in Jerusalem region: secular and modern religious Jews, ultra-Orthodox Jews and Arabs. Findings indicate minimal differences in age of diagnosis prior to the age of six, although Arab children of this age were largely minimally verbal. After age six, no Arab children were referred for an evaluation.

Identifying Autism with a Brief and Low-Cost Screening Instrument-OERA: Construct Validity, Invariance Testing, and Agreement Between Judges

Simple and low-cost observational-tools to detect symptoms of Autism Spectrum Disorder (ASD) are still necessary. The OERA is a new assessment tool to screen children eliciting observable behaviors with no substantial knowledge on ASD required. The sample was 99 children aged 3-10: 76 with ASD and 23 without ASD (11/23 had intellectual disability). The 13 remained items exhibited high interrater agreement and high reliability loaded onto a single latent trait. Such model showed excellent fit indices evaluated via confirmatory factor analysis and no item showed differential function in terms of age/sex/IQ. A cutoff of five points or higher resulted in the highest sensitivity (92.75) and specificity (90.91) percentages. OERA is a brief, stable, low-cost standardized observational-screening to identify ASD children.

In Search of Biomarkers for Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) lacks validated measures of core social functions across development stages suitable for clinical trials. We assessed the concurrent validity between ASD clinical measures and putative biomarkers of core deficits, and their feasibility of implementation in human studies. Datasets from two adult ASD studies were combined (observational study [n = 19] and interventional study baseline data [n = 19]). Potential biomarkers included eye‐tracking, olfaction, and auditory and visual emotion recognition assessed via the Affective Speech Recognition test (ASR) and Reading‐the‐Mind‐in‐the‐Eyes Test (RMET). Current functioning was assessed with intelligence quotient (IQ), adaptive skill testing, and behavioral ratings. Autism severity was determined by the Autism Diagnostic Observation Scale‐2 and Social Communication Interaction Test (SCIT). Exploratory measures showed varying significant associations across ASD severity, adaptive skills, and behavior. Eye tracking endpoints showed little relationship to adaptive ability but correlated with severity and behavior. ASR scores significantly correlated with most adaptive behavior domains, as well as severity. Olfaction predicted visual and auditory emotion recognition. SCIT scores related moderately to multiple severity domains, and was the only measure not related with IQ. RMET accuracy was less related to ASD features. Eye tracking, SCIT, and ASR showed high test–retest reliability. We documented associations of proximal biomarkers of social functioning with multiple ASD dimensions. With the exception of SCIT, most correlations were modest, limiting utility as proxy measures of social communication. Feasibility and reliability were high for eye‐tracking, ASR, and SCIT. Overall, several novel experimental paradigms showed potential as social biomarkers or surrogate markers in ASD. Autism Research 2018, 11: 1567–1579. © 2018 The Authors. Autism Research published by International Society for Autism Research and Wiley Periodicals, Inc.

Lay Summary

More accurate measurements of treatment effects are needed to help the development of new drug treatments for autism spectrum disorders (ASD). This study evaluates the relationship between assessments designed to measure behaviors associated with social communication and cognition in ASD with clinical and diagnostic assessments of symptom severity as well as their implementation. The assessments including eye‐tracking, auditory and visual social stimuli recognition, and olfaction identification showed potential for use in the evaluation of treatments for social difficulties in ASD.

A call for implementing preferred practices for brain injury screening in youth to improve transition

BACKGROUND

It is vital to engage in systematic screening to identify and serve children who may have sustained an acquired brain injury (ABI) - either traumatic or non-traumatic, so they can be successfully transitioned between environments and life stages. This is particularly important for children and adolescents given the impact an ABI can have on learning and social functioning over the course of the neurodevelopmental process. A pattern of repeated, undiagnosed mild brain injuries may lead to mood or behavior disorders, learning problems. Despite increasing awareness of brain injury as a public health issue, there has not been implementation of systematic screening practices in schools or other public health settings similar to other conditions (e.g., vision disorders, Autism Spectrum Disorders).

OBJECTIVES

What is needed to address this lack of systematic screening for ABI is a rationale for systematic screening for ABI in children and adolescents, including examining successful models of screening for other disorders and conditions.

METHODS

A review was conducted of available ABI screening methods, including a description of the available screening tools for pediatric ABI, along with supporting research findings.

RESULTS

A comparison was made of these pediatric ABI screening tools, looking at the purpose of the tool, the populations and settings in which the tool can be used, the time and cost for administering the tool, the evidence basis in the literature supporting the tool, and the types of outcomes that can be attained from using the tool.

CONCLUSION

Recommendations are made for procedures for systematically implementing ABI screening in pediatric settings including schools, primary care providers, mental health, and juvenile justice systems to improve the access to brain injury services and affording more successful transition of adolescents into the adult roles.

Rethinking the idea of late autism spectrum disorder onset

A common theory of autism spectrum disorder (ASD) symptom onset includes toddlers who do not display symptoms until well after age 2, which are termed late-onset ASD cases. Objectives were to analyze differences in clinical phenotype between toddlers identified as ASD at initial evaluations (early diagnosed) versus those initially considered nonspectrum, then later identified as ASD (late diagnosed). Two hundred seventy-three toddlers recruited from the general population based on a failed developmental screening form or parent or physician concerns were followed longitudinally from 12 months and identified as early- and late-diagnosed cases of ASD, language delayed, or typically developing. Toddlers completed common standardized assessments and experimental eye-tracking and observational measures every 9-12 months until age 3. Longitudinal performance on standardized assessments and experimental tests from initial evaluations were compared. Delay in social communication skills was seen in both ASD groups at early-age initial assessment, including increased preference for nonsocial stimuli, increased stereotypic play, reduced exploration, and use of gestures. On standardized psychometric assessments, early-diagnosed toddlers showed more impairment initially while late-diagnosed toddlers showed a slowing in language acquisition. Similar social communication impairments were present at very early ages in both early-detected ASD and so-called late-onset ASD. Data indicate ASD is present whether detected or not by current methods, and development of more sensitive tools is needed.

Biomarkers in Autism Spectrum Disorder: Challenges, Advances, and the Need for Biomarkers of Relevance to Public Health

Although autism spectrum disorder (ASD) is the most strongly genetic of all complex neuropsychiatric disorders, it is still defined and diagnosed behaviorally. The vast genotypic and phenotypic heterogeneity of the condition necessitate a vigorous search for biological markers capable of aiding in diagnosis, identifying more homogeneous subgroups for biological study, individualizing treatment, and measuring treatment response. Many candidate biomarkers are available, spanning genetic, metabolic, electroencephalographic, magnetic resonance imaging, and neuropsychological methods. Although biomarker research has focused primarily on mechanistic etiologic hypotheses, the biomarkers more likely to result in optimized clinical outcomes in the near term are cost-effective and community-viable measures obtained through eye-tracking technology involving infants and toddlers. Although these tools are still far from being ready for widespread application, the goal is to develop objective procedures and measures for population-based screening and diagnosis to increase access to early treatment and intervention.

Concordance between physiological arousal and emotion expression during fear in young children with autism spectrum disorders

This study aimed to measure emotional expression and physiological arousal in response to fear in 21 children with autism spectrum disorders (43-75 months) and 45 typically developing children (41-81 months). Expressions of facial and bodily fear and heart rate arousal were simultaneously measured in response to a remote controlled robot (Laboratory Temperament Assessment Battery). Heart rate analyses revealed a main effect of task from baseline to fear ( p < 0.001, ηp2 ), no interaction effect and no effect for group. In addition, children with autism spectrum disorder showed intact facial and bodily expressions of fearful affect compared to typically developing children. With regard to the relationship between expression and arousal, the results provided evidence for concordance between expression and arousal in typically developing children ( r = 0.45, n = 45, p < 0.01). For children with autism spectrum disorder, no significant correlation was found ( r = 0.20, n = 21, p = 0.38). A moderation analysis revealed no significant interaction between expression and arousal for children with and without autism spectrum disorder ( F(1, 62) = 1.23, p = 0.27, ηp2 ), which might be the result of limited power. The current results give reason to further study concordance between expression and arousal in early autism spectrum disorder. Discordance might significantly impact social functioning and is an important topic in light of both early identification and treatment.

An agenda for 21st century neurodevelopmental medicine: lessons from autism

The future of neurodevelopmental medicine has the potential of situating child neurology at the forefront of a broad-based public health effort to optimize neurodevelopmental outcomes of children born with high-prevalence and diverse genetic, pre- and peri-natal, and environmental burdens compromising early brain development and leading to lifetime disabilities. Building on advancements in developmental social neuroscience and in implementation science, this shift is already occurring in the case of emblematic neurodevelopmental disorders such as autism. Capitalizing on early neuroplasticity and on quantification of trajectories of social-communicative development, new technologies are emerging for high-throughput and cost-effective diagnosis and for community-viable delivery of powerful treatments, in seamless integration across previously fragmented systems of healthcare delivery. These solutions could be deployed in the case of other groups of children at greater risk for autism and communication delays, such as those born extremely premature or with congenital heart disease. The galvanizing concept in this aspirational future is a public health focus on promoting optimal conditions for early brain development, not unlike current campaigns promoting pre-natal care, nutrition or vaccination.