Brief report: early intervention in autism

Automated diagnosis of autism with artificial intelligence: State of the art

Autism spectrum disorder (ASD) represents a panel of conditions that begin during the developmental period and result in impairments of personal, social, academic, or occupational functioning. Early diagnosis is directly related to a better prognosis. Unfortunately, the diagnosis of ASD requires a long and exhausting subjective process. We aimed to review the state of the art for automated autism diagnosis and recognition in this research. In February 2022, we searched multiple databases and sources of gray literature for eligible studies. We used an adapted version of the QUADAS-2 tool to assess the risk of bias in the studies. A brief report of the methods and results of each study is presented. Data were synthesized for each modality separately using the Split Component Synthesis (SCS) method. We assessed heterogeneity using the I 2 statistics and evaluated publication bias using trim and fill tests combined with ln DOR. Confidence in cumulative evidence was assessed using the GRADE approach for diagnostic studies. We included 344 studies from 186,020 participants (51,129 are estimated to be unique) for nine different modalities in this review, from which 232 reported sufficient data for meta-analysis. The area under the curve was in the range of 0.71-0.90 for all the modalities. The studies on EEG data provided the best accuracy, with the area under the curve ranging between 0.85 and 0.93. We found that the literature is rife with bias and methodological/reporting flaws. Recommendations are provided for future research to provide better studies and fill in the current knowledge gaps.

Oral Healthcare Practices and Awareness among the Parents of Autism Spectrum Disorder Children: A Multi-Center Study

This study aimed to evaluate the knowledge and attitudes of the parents of autistic children toward oral health and the practice of oral hygiene habits. A questionnaire was constructed, validated, and distributed to the parents of autistic children at different autistic centers. The questionnaire was divided into three parts: demographic information on the parents of autistic children, the knowledge and attitudes of parents toward oral health, and the practice of oral hygiene habits in the current population. A total of 206 responses were collected. Irrespective of the parents' educational and employment statuses, most second children were diagnosed with autism, and most of the parents have four or more children. In terms of knowledge and attitudes toward oral health, a total of 90.30% of the patients were aware of the oral healthcare of their child, and 55.80% of parents take them to the dentist for checkups. Moreover, the response to the practice of oral hygiene habits from the parents was positive, and most of the parents assist in the oral hygiene practices of their autistic children. This study showed that most of the parents appeared to have satisfactory knowledge about oral health practices for autistic children. However, additional studies should also be conducted.

Programmatic Costs of Project ImPACT for Children with Autism: A Time-Driven Activity Based Costing Study

Programmatic cost assessment of clinical interventions can inform future dissemination and implementation efforts. We conducted a randomized trial of Project ImPACT (Improving Parents As Communication Teachers) in which community early intervention (EI) providers coached caregivers in techniques to improve young children's social communication skills. We estimated implementation and intervention costs while demonstrating an application of Time-Driven Activity-Based Costing (TDABC). We defined Project ImPACT implementation and intervention as processes that can be broken down successively into a set of procedures. We created process maps for both implementation and intervention delivery. We determined resource use and costs, per unit procedure in the first year of the program, from a payer perspective. We estimated total implementation cost per clinician and per site, intervention cost per child, and provided estimates of total hours spent and associated costs for implementation strategies, intervention activities and their detailed procedures. Total implementation cost was $43,509 per clinic and $14,503 per clinician. Clinician time (60%) and coach time (12%) were the most expensive personnel resources. Implementation coordination and monitoring (47%), ongoing consultation (26%) and clinician training (19%) comprised most of the implementation cost, followed by fidelity assessment (7%), and stakeholder engagement (1%). Per-child intervention costs were $2619 and $9650, respectively, at a dose of one hour per week and four hours per week Project ImPACT. Clinician and clinic leader time accounted for 98% of per child intervention costs. Highest cost intervention activity was ImPACT delivery to parents (89%) followed by assessment for child's ImPACT eligibility (10%). The findings can be used to inform funding and policy decision-making to enhance early intervention options for young children with autism. Uncompensated time costs of clinicians are large which raises practical and ethical concerns and should be considered in planning of implementation initiatives. In program budgeting, decisionmakers should anticipate resource needs for coordination and monitoring activities. TDABC may encourage researchers to assess costs more systematically, relying on process mapping and gathering prospective data on resource use and costs concurrently with their collection of other trial data.

The effect of oxytocin nasal spray on social interaction in young children with autism: a randomized clinical trial

Early supports to enhance social development in children with autism are widely promoted. While oxytocin has a crucial role in mammalian social development, its potential role as a medication to enhance social development in humans remains unclear. We investigated the efficacy, tolerability, and safety of intranasal oxytocin in young children with autism using a double-blind, randomized, placebo-controlled, clinical trial, following a placebo lead-in phase. A total of 87 children (aged between 3 and 12 years) with autism received 16 International Units (IU) of oxytocin (n = 45) or placebo (n = 42) nasal spray, morning and night (32 IU per day) for twelve weeks, following a 3-week placebo lead-in phase. Overall, there was no effect of oxytocin treatment over time on the caregiver-rated Social Responsiveness Scale (SRS-2) (p = 0.686). However, a significant interaction with age (p = 0.028) showed that for younger children, aged 3-5 years, there was some indication of a treatment effect. Younger children who received oxytocin showed improvement on caregiver-rated social responsiveness ( SRS-2). There was no other evidence of benefit in the sample as a whole, or in the younger age group, on the clinician-rated Clinical Global Improvement Scale (CGI-S), or any secondary measure. Importantly, placebo effects in the lead-in phase were evident and there was support for washout of the placebo response in the randomised phase. Oxytocin was well tolerated, with more adverse side effects reported in the placebo group. This study suggests the need for further clinical trials to test the benefits of oxytocin treatment in younger populations with autism.Trial registration www.anzctr.org.au (ACTRN12617000441314).

Developmental Milestones as Early Indicators of Twice-Exceptionality

Twice-exceptional individuals are those who have high cognitive ability in one or more areas, but also have a diagnosed disability. The needs of these individuals likely differ from those with high cognitive ability without a disability and those who solely have a disability. Intervening early can offer exceptional benefits for twice-exceptional individuals, but this has proved challenging due to the high cognitive abilities masking disabilities. This study explores if parent-reported developmental milestones can predict the number of disabilities diagnosed for an individual, including Autism Spectrum Disorder (ASD), Attention-Deficit/Hyperactivity Disorder (ADHD), and Specific Learning Disorder (SLD). Using a clinical sample of about 1,300 individuals, we used a Bayesian cumulative logistic model to explore if developmental milestones can predict the number of diagnoses after controlling for IQ and age. Study results showed that when an individual began to count and read informed predictions for the number of future diagnoses in the clinical sample. Implications for future study and practitioners are discussed in further detail.

Early Intervention in Severe Autism: Positive Outcome Using Exchange and Development Therapy

Early intervention programs positively affect key behaviors for children with autism spectrum disorder (ASD). However, most of these programs do not target children with severe autistic symptomatology associated with intellectual disability (ID). This study aimed to investigate the psychological and clinical outcomes of children with severe autism and ID enrolled in the Tailored and Inclusive Program for Autism-Tours (TIPA-T). The first step of the TIPA-T is the Exchange and Development Therapy (EDT): an individual neurofunctional intervention consisting of one-to-one exchanges between a child and a therapist taking place in a pared-down environment. It aims to rehabilitate psychophysiological abilities at the roots of social communication through structured sequences of "social play." Cognitive and socio-emotional skills and general development were evaluated with the Social Cognitive Evaluation Battery scale and the Brunet-Lézine Scale-Revised, respectively, before and after 9 months of intervention in 32 children with ASD and ID. Autistic symptomatology was evaluated with the Behavior Summarized Evaluation-Revised scale at five time-points in a subset of 14 children, both in individual and group settings. Statistically significant post-intervention improvements were found in cognitive and socio-emotional skills. All but one child showed improvements in at least one social domain, and 78% of children gained one level in at least four social domains. Twenty-nine children improved in cognitive domains, with 66% of children improving in at least three cognitive domains. Autistic symptomatology evaluated in one-to-one settings significantly decreased with therapy; this reduction was observed in more than 85% of children. In group settings, autistic symptomatology also decreased in more than 60% of children. Global developmental age significantly increased by 3.8 months. The TIPA-T, including EDT in particular, improves socio-emotional skills of most children with ASD and reduces autistic symptomatology, yet with heterogeneous outcomes profiles, in line with the strong heterogeneity of profiles observed in ASD. At the group level, this study highlights the benefits of the TIPA-T for children with severe autism and associated ID. Assessment of autistic core symptoms showed an improvement of social interaction, both in one-to-one and group evaluations, demonstrating the generalizability of the skills learned during the EDT.

Detection of an Autism EEG Signature From Only Two EEG Channels Through Features Extraction and Advanced Machine Learning Analysis

BACKGROUND AND OBJECTIVE

In 2 previous studies, we have shown the ability of special machine learning systems applied to standard EEG data in distinguishing children with autism spectrum disorder (ASD) from non-ASD children with an overall accuracy rate of 100% and 98.4%, respectively. Since the equipment routinely available in neonatology units employ few derivations, we were curious to check if just 2 derivations were enough to allow good performance in the same cases of the above-mentioned studies.

METHODS

A continuous segment of artifact-free EEG data lasting 1 minute in ASCCI format from C3 and C4 EEG channels present in 2 previous studies, was used for features extraction and subsequent analyses with advanced machine learning systems. A features extraction software package (Python tsfresh) applied to time-series raw data derived 1588 quantitative features. A special hybrid system called TWIST (Training with Input Selection and Testing), coupling an evolutionary algorithm named Gen-D and a backpropagation neural network, was used to subdivide the data set into training and testing sets as well as to select features yielding the maximum amount of information after a first variable selection performed with linear correlation index threshold.

RESULTS

After this intelligent preprocessing, 12 features were extracted from C3-C4 time-series of study 1 and 36 C3-C4 time-series of study 2 representing the EEG signature. Acting on these features the overall accuracy predictive capability of the best artificial neural network acting as a classifier in deciphering autistic cases from typicals (study 1) and other neuropsychiatric disorders (study 2) resulted in 100 % for study 1 and 94.95 % for study 2.

CONCLUSIONS

The results of this study suggest that also a minor part of EEG contains precious information useful to detect autism if treated with advanced computational algorithms. This could allow in the future to use standard EEG from newborns to check if the ASD signature is already present at birth.

A comparative study of cognitive and socio-emotional development in children with Rubinstein-Taybi syndrome and children with Autism Spectrum Disorder associated with a severe intellectual disability, and in young typically developing children with matched developmental ages

BACKGROUND

Cognitive and socio-emotional profiles of children with CREBBP-related Rubinstein-Taybi syndrome (RSTS 1), children with Autism Spectrum Disorder (ASD) with severe intellectual disability and developmental ages (DA) under 24 months, and typically developing (TD) children with similar DA were compared.

PARTICIPANTS

Thirty-one children with RSTS 1 (mean chronological age, CA = 59,8 months; 33-87) and thirty children with ASD, matched on CA and DA and developmental quotients (DQ), were compared to thirty TD children (CA ranged from 12 to 24 months).

METHODS

Cognitive and socio-emotional developmental levels, DA and DQ were assessed with appropriated tests.

RESULTS

More socio-emotional developmental similarities were observed between TD and RSTS 1 than between TD and ASD children. Clinical groups displayed similar developmental delays in cognitive (self-image, symbolic play, means-ends, and object permanence) and socio-emotional domains (language and imitation). Children with RSTS 1 exhibited higher developmental levels in behavior regulation, joint attention, affective relations, emotional expression domains, and a lower developmental level in spatial relations domain.

CONCLUSIONS

Common interventions centered on symbolic play, self-image, language, and imitation for both clinical groups, and differentiated interventions centered on spatial abilities for RSTS 1 children and on social abilities for ASD could be used by caregivers were suggested.

Early Motor Skills in Children With Autism Spectrum Disorders Are Marked by Less Frequent Hand and Knees Crawling

Our aim in this study was to affirm or negate (quantitatively) our subjective impression of altered hands and knees crawling (H&K crawling) among children with Autism Spectrum Disorder (ASD). Through parental questionnaires and children's health records, we retrospectively compared early motor skills, including the frequency of H&K crawling in 79 children with Autistic Disorder or Asperger Syndrome versus 100 children with typical development (TD). We found H&K crawling to be significantly less frequent among children with ASD (44.2%) versus children with TD (69%). Children with ASD also showed a decreased frequency of acquiring a seating position without help and a later mean walking age compared to the TD children. These data suggest that early motor development delays may be a useful sign for detecting ASD at early ages.

Autism Spectrum Disorder: Investigating Predictive Adaptive Behavior Skill Deficits in Young Children

Autism spectrum disorder (ASD) is a lifelong neurodevelopmental disorder that consists of difficulties with social communication and language, as well as the presence of restricted and repetitive behaviors. These deficits tend to present in early childhood and usually lead to impairments in functioning across various settings. Moreover, these deficits have been shown to negatively impact adaptive behavior and functioning. Thus, early diagnosis and intervention is vital for future success within this population. The purpose of this study was to further examine the subscales that comprise the adaptive behavior section of the Bayley®-III to determine which of the ten subscales are predictive of ASD in young children (i.e., ≤ three years of age). A retrospective file review of 273 children participating in Kentucky's early intervention program, First Steps, was completed. The children ranged in age from 18 to 35 months. A binary logistic regression was used to assess the subscales that comprise the adaptive behavior of the section of the Bayley®-III to determine which of the ten subscales are predictive of ASD in young children (i.e., ≤ three years of age). The results indicated that individual lower raw scores in communication, community use, functional preacademics, home living, health and safety, leisure, self-care, self-direction, and social subscales were predictive of an autism diagnosis.

Perinatal and Obstetric Predictors for Autism Spectrum Disorder

The objective is to identify obstetric and perinatal factors that could be significant predictors of ASD and may lead to early detection and intervention. A population-based case-control study including 128 children diagnosed with ASD and 311 controls was conducted. Information was collected through self-reported questionnaires. The factors retained as significant predictors for ASD in the final adjusted hierarchical logistic regression model were cesarean section and male gender. The study revealed a higher incidence of cesarean sections and male gender in children with ASD in comparison to unaffected children confirming the results of previous studies. Children born by cesarean section, especially males, should be more closely monitored for the presence of ASD traits for early diagnosis and intervention.

Cardiac Startle Response and Clinical Outcomes in Preschool Children With Fragile X Syndrome and Autism Spectrum Disorder

Objective: Poor physiological regulation in response to threat is linked to multiple negative developmental outcomes including anxiety, which is highly prevalent and impairing in young children with neurodevelopmental disabilities like fragile X syndrome (FXS) and autism spectrum disorder (ASD). The present study contrasted cardiac startle response in pre-school-aged children with FXS, with and without ASD, to children with non-syndromic ASD (nsASD) and neurotypical controls (NT). The relationship of cardiac startle to non-verbal mental age (NVMA), ASD severity, and parent-reported anxiety was also examined. Method: Four age-matched groups of pre-school children participated including those with FXS without ASD (FXS-Only, n = 21), FXS with ASD (FXS+ASD, n = 17), nsASD (n = 42), and NT children (n = 27). Participants viewed a silent movie during which a single 200 ms 98-decibel white noise burst occurred. Cardiac activity was analyzed for pre-stimulus respiratory sinus arrhythmia (RSA) and the inter-beat intervals (IBI) at the auditory stimulus and 10 s post-stimulus. The Spence Pre-school Anxiety Scale, Autism Diagnostic Observation Schedule-2nd Edition, and Mullen Scales of Early Learning were examined in relation to startle response. Results: The nsASD group demonstrated heightened cardiac activity at the auditory stimulus and 10 s post-stimulus compared to the NT controls. Neither of the FXS groups showed differences from any other group. Higher pre-stimulus RSA was associated with reduced cardiac response across groups, while the relationship between cognitive ability and ASD severity to cardiac response varied between groups. Parent-reported anxiety was not associated with cardiac response for any group. Conclusion: These findings demonstrate group distinctions in cardiac responses to auditory startle. Although FXS and ASD share behavioral characteristics, the nsASD group showed a heightened cardiac startle response compared to the NT group that was not present in the FXS groups with or without ASD. Non-verbal mental age was associated with greater stimulus or post-stimulus reactivity for all groups except the FXS+ASD group, which showed no association between startle response and any clinical outcomes. Increased understanding of the relationship between physiological regulation and clinical outcomes will assist in identifying the timing and targets for effective interventions for individuals with neurodevelopmental disabilities.

Implications of Sensory Processing and Attentional Differences Associated With Autism in Academic Settings: An Integrative Review

The impact of classroom environments on student engagement and academic performance is well-documented. Autism spectrum disorder (ASD) is associated with atypical sensory processing and attentional impairments, which may lead to challenges in successfully accessing educational material within these settings. These symptoms may help explain why students with ASD show discrepancies between intellectual ability and academic performance. Given the increasing number of students with ASD present in classrooms, understanding strengths and weaknesses in sensory processing and attention is necessary in order to design better classroom environments and develop more efficacious accommodations and interventions to support optimal student success. Therefore, the objectives of this review are to provide a brief review of the current literature on sensory processing and attention in ASD, survey how sensory and attentional functions affect academic outcomes in both neurotypical and ASD learners, and suggest potential accommodations/interventions for students with ASD based on these findings.

Brief Report: Speech and Language Therapy in Children with ASD in an Aquatic Environment: the ASLT (Aquatic Speech and Language Therapy) Program

Although water-based approaches have been shown to be beneficial for children with Autism Spectrum Disorder (ASD), no study thus far has directly investigated the effects of such intervention programs on language skills. The present study aims to evaluate the efficacy of the Aquatic Speech and Language Therapy (ASLT) program, which is a new, exclusively aquatic intervention program designed especially for children with ASD. The effects of ASLT were compared to the outcome of a similar classroom-based intervention, in two groups of children with ASD matched for age, gender, and expressive/receptive vocabulary. Our findings show that ASLT results in significantly greater improvement of vocabulary measures, thus providing direct evidence of water-based intervention's beneficial effects on language skills in ASD.

Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry

Data science and digital technologies have the potential to transform diagnostic classification. Digital technologies enable the collection of big data, and advances in machine learning and artificial intelligence enable scalable, rapid, and automated classification of medical conditions. In this review, we summarize and categorize various data-driven methods for diagnostic classification. In particular, we focus on autism as an example of a challenging disorder due to its highly heterogeneous nature. We begin by describing the frontier of data science methods for the neuropsychiatry of autism. We discuss early signs of autism as defined by existing pen-and-paper-based diagnostic instruments and describe data-driven feature selection techniques for determining the behaviors that are most salient for distinguishing children with autism from neurologically typical children. We then describe data-driven detection techniques, particularly computer vision and eye tracking, that provide a means of quantifying behavioral differences between cases and controls. We also describe methods of preserving the privacy of collected videos and prior efforts of incorporating humans in the diagnostic loop. Finally, we summarize existing digital therapeutic interventions that allow for data capture and longitudinal outcome tracking as the diagnosis moves along a positive trajectory. Digital phenotyping of autism is paving the way for quantitative psychiatry more broadly and will set the stage for more scalable, accessible, and precise diagnostic techniques in the field.

The Performance of Emotion Classifiers for Children With Parent-Reported Autism: Quantitative Feasibility Study

BACKGROUND

Autism spectrum disorder (ASD) is a developmental disorder characterized by deficits in social communication and interaction, and restricted and repetitive behaviors and interests. The incidence of ASD has increased in recent years; it is now estimated that approximately 1 in 40 children in the United States are affected. Due in part to increasing prevalence, access to treatment has become constrained. Hope lies in mobile solutions that provide therapy through artificial intelligence (AI) approaches, including facial and emotion detection AI models developed by mainstream cloud providers, available directly to consumers. However, these solutions may not be sufficiently trained for use in pediatric populations.

OBJECTIVE

Emotion classifiers available off-the-shelf to the general public through Microsoft, Amazon, Google, and Sighthound are well-suited to the pediatric population, and could be used for developing mobile therapies targeting aspects of social communication and interaction, perhaps accelerating innovation in this space. This study aimed to test these classifiers directly with image data from children with parent-reported ASD recruited through crowdsourcing.

METHODS

We used a mobile game called Guess What? that challenges a child to act out a series of prompts displayed on the screen of the smartphone held on the forehead of his or her care provider. The game is intended to be a fun and engaging way for the child and parent to interact socially, for example, the parent attempting to guess what emotion the child is acting out (eg, surprised, scared, or disgusted). During a 90-second game session, as many as 50 prompts are shown while the child acts, and the video records the actions and expressions of the child. Due in part to the fun nature of the game, it is a viable way to remotely engage pediatric populations, including the autism population through crowdsourcing. We recruited 21 children with ASD to play the game and gathered 2602 emotive frames following their game sessions. These data were used to evaluate the accuracy and performance of four state-of-the-art facial emotion classifiers to develop an understanding of the feasibility of these platforms for pediatric research.

RESULTS

All classifiers performed poorly for every evaluated emotion except happy. None of the classifiers correctly labeled over 60.18% (1566/2602) of the evaluated frames. Moreover, none of the classifiers correctly identified more than 11% (6/51) of the angry frames and 14% (10/69) of the disgust frames.

CONCLUSIONS

The findings suggest that commercial emotion classifiers may be insufficiently trained for use in digital approaches to autism treatment and treatment tracking. Secure, privacy-preserving methods to increase labeled training data are needed to boost the models' performance before they can be used in AI-enabled approaches to social therapy of the kind that is common in autism treatments.

Influence of Reaction Time in the Emotional Response of a Companion Robot to a Child’s Aggressive Interaction

The quality of a companion robot’s reaction is important to make it acceptable to the users and to sustain interactions. Furthermore, the robot’s reaction can be used to train socially acceptable behaviors and to develop certain skills in both normally developing children and children with cognitive disabilities. In this study, we investigate the influence of reaction time in the emotional response of a robot when children display aggressive interactions toward it. Different interactions were considered, namely, pickup, shake, drop and throw. The robot produced responses as audible sounds, which were activated at three different reaction times, namely, 0.5 s, 1.0 s, and 1.5 s. The results for one of the tasks that involved shaking the robotic toys produced a significant difference between the timings tested. This could imply that producing a late response to an action (i.e. greater than 1.0 s) could negatively affect the children’s comprehension of the intended message. Furthermore, the response should be comprehensible to provide a clear message to the user. The results imply that the designers of companion robotic toys need to consider an appropriate timing and clear modality for their robots’ responses.

The "MS-ROM/IFAST" Model, a Novel Parallel Nonlinear EEG Analysis Technique, Distinguishes ASD Subjects From Children Affected With Other Neuropsychiatric Disorders With High Degree of Accuracy

Background and Objective. In a previous study, we showed a new EEG processing methodology called Multi-Scale Ranked Organizing Map/Implicit Function As Squashing Time (MS-ROM/IFAST) performing an almost perfect distinction between computerized EEG of Italian children with autism spectrum disorder (ASD) and typically developing children. In this study, we assessed this system in distinguishing ASD subjects from children affected with other neuropsychiatric disorders (NPD). Methods. At a psychiatric practice in Texas, 20 children diagnosed with ASD and 20 children diagnosed with NPD were entered into the study. Continuous segments of artifact-free EEG data lasting 10 minutes were entered in MS-ROM/IFAST. From the new variables created by MS-ROM/IFAST, only 12 has been selected according to a correlation criterion. The selected features represent the input on which supervised machine learning systems (MLS) acted as blind classifiers. Results. The overall predictive capability in distinguishing ASD from other NPD cases ranged from 93% to 97.5%. The results were confirmed in further experiments in which Italian and US data have been combined. In this analysis, the best MLS reached 95.0% global accuracy in 1 out of 3 classes distinction (ASD, NPD, controls). This study demonstrates the value of EEG processing with advanced MLS in the differential diagnosis between ASD and NPD cases. The results were not affected by age, ethnicity and technicalities of EEG acquisition, confirming the existence of a specific EEG signature in ASD cases. To further support these findings, it was decided to test the behavior of already trained neural networks on 10 Italian very young ASD children (25-37 months). In this test, 9 out of 10 cases have been correctly recognized as ASD subjects in the best case. Conclusions. These results confirm the possibility of an early automatic autism detection based on standard EEG.

Age as a Moderator of Social Skills Intervention Response Among Korean Adolescents with Autism Spectrum Disorder

Few studies have investigated the effect of age on treatment effectiveness of evidence-based social skills training in autism spectrum disorder (ASD) adolescents. This study evaluated the effectiveness of Program for the Education and Enrichment of Relational Skills (PEERS^®) in different ages of ASD adolescents. A total of 110 ASD adolescents aged 11-19 years were divided into early, middle, and late adolescence groups, and the changes in outcome measures following intervention were compared among the three groups. We found that the improvements in social competence after PEERS^® were significant, but the treatment effects were not significantly different among the three age groups. The findings suggest that PEERS^® is beneficial for ASD adolescents regardless of patient age and adolescence stage.

Child-rearing routines among Mexican-heritage children with autism spectrum disorder

This study examined the daily routines and activities of Mexican-heritage mothers and their children with autism spectrum disorder. Experienced sampling methods were used to capture families' current daily routines and activities, how parents valued those activities, and whether the activity was part of the child's autism spectrum disorder intervention. A total of 32 mothers were texted five times per day over five consecutive days for a total of 721 observations. Mothers frequently engaged in Self-Care (e.g. showering), General Caregiving (e.g. cooking), and House Chores (e.g. laundry). Children engaged in activities in which interventions could easily be integrated (e.g. Academics, Self-Care, and Playing with Others). Families spent less than one-third (26.1%) of their activities participating in interventions. Mothers and children jointly spent time in General Caregiving, Playing with Others, and Using Electronics. Practitioners should focus on integrating evidence-based interventions into daily joint routine activities.

Acceptability of the Transitional Wearable Companion "+me" in Typical Children: A Pilot Study

This work presents the results of the first experimentation of +me-the first prototype of Transitional Wearable Companion-run on 15 typically developed (TD) children with ages between 8 and 34 months. +me is an interactive device that looks like a teddy bear that can be worn around the neck, has touch sensors, can emit appealing lights and sounds, and has input-output contingencies that can be regulated with a tablet via Bluetooth. The participants were engaged in social play activities involving both the device and an adult experimenter. +me was designed with the objective of exploiting its intrinsic allure as an attractive toy to stimulate social interactions (e.g., eye contact, turn taking, imitation, social smiles), an aspect potentially helpful in the therapy of Autism Spectrum Disorders (ASD) and other Pervasive Developmental Disorders (PDD). The main purpose of this preliminary study is to evaluate the general acceptability of the toy by TD children, observing the elicited behaviors in preparation for future experiments involving children with ASD and other PDD. First observations, based on video recording and scoring, show that +me stimulates good social engagement in TD children, especially when their age is higher than 24 months.

Infant quantitative risk for autism spectrum disorder predicts executive function in early childhood

Much of the current research concerning autism spectrum disorder (ASD) focuses on early identification of behaviors that may indicate future deficits or higher risk for a later diagnosis. Additionally, there exists a strong claim regarding the dimensional nature of ASD, such that even among non-diagnosed individuals, a continuous distribution of symptom severity can be observed. Executive function (EF) has been widely studied in children, adolescents, and adults with ASD, with a robust body of research supporting widespread EF deficits in diagnosed individuals. However, it remains unclear how the degree of ASD symptomatology, outside of the presence of a diagnosis, affects EF abilities in a community sample. The First Year Inventory 2.0 (FYI 2.0), a parent-report measure, was designed to identify infants at 12 months who are at risk for an eventual ASD diagnosis. In the current study, a continuous scoring scale was used to examine risk (overall, Social-Communication, and Sensory-Regulatory) from a dimensional perspective. Parents also completed the Behavior Rating Inventory of Executive Function-Preschool Version and the Social Responsiveness Scale-2nd edition when their children were 42 months (3.5 years) old. Each FYI 2.0 risk variable significantly predicted scores on an overall EF composite and specific EF subscales. When controlling for general ASD symptomatology, Sensory-Regulatory risk still significantly predicted EF deficits. This research provides additional support for a quantitative consideration of risk for ASD and presents novel findings regarding the relation between infant behaviors indicative of ASD risk and EF in early childhood. Autism Research 2018, 11: 1532-1541. © 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Children with autism spectrum disorder (ASD) often have difficulty with executive function (EF) tasks that require a set of mental processes involved in goal-directed behaviors. Studying children without ASD who may have symptoms affecting EF is also important. This study demonstrates that certain infant behaviors related to ASD are linked to early childhood EF difficulties. These results support looking at a range of ASD symptoms to better understand children who struggle with EF and potentially design tools to help them.

The therapeutic effect of scalp acupuncture on natal autism and regressive autism

Background

Autism spectrum disorders (ASD) is a common disease and the incidence has been rising constantly. Acupuncture is one of the most widely used complementary and alternative medicine therapies. Despite studies had been done on the effectiveness of acupuncture on ASD children, how factors such as chronological age and the onset pattern influence the effectiveness of the therapy remains unclear. The aim of this retrospective study is to know how symptomatology of ASD alters upon the introduction of scalp acupuncture and how do age and onset type affect the effectiveness of the therapy.

Methods

ASD children aged 2–11 years old were invited to join the study. In the course of the investigation, they received a total of 30 sessions of scalp acupuncture therapy. They were then evaluated to compare the performance on various aspects before and after the treatment. The influence on the therapeutic effect by factors including chorological age and onset pattern were further taken into consideration and analyzed. In addition, investigation on the relationship between allergies and onset pattern of ASD was performed by statistically analyzing the received epidemiologic data from the participants.

Results

68 children with ASD participated in the study. It is found that the significant effective rate of scalp acupuncture on ASD is 97%. Scalp acupuncture can improve verbal communication problems the most while noise sensitivity improves the least. The therapeutic effectiveness decreases with increasing age and children with natal autism benefit more from acupuncture than those with regressive autism. In the latter part of the study, we observe a positive correlation between the family history of allergy and onset pattern.

Conclusion

Scalp acupuncture is an effective treatment for alleviating the symptomatology of ASD. The therapeutic effectiveness is expected to be higher for those patients with natal or early onset of the disorder, and at a younger age when they receive the therapy. The study result helps to formulate an ideal regimen for ASD patients and allow therapists and parents to make appropriate expectation towards the therapeutic outcome of acupuncture. Early intervention of scalp acupuncture therapy recommended. The relationship between the family history of allergic disorder and the onset type of ASD hints that the etiologies of natal and regressive ASD are discrete. It shows a great significance in differentiating the onset pattern in carrying out clinical assessments or researches on ASD patients.

Trial registration This retrospective study was approved by the Committee on the Use of Human and Animal Subjects in Teaching and Research, Hong Kong Baptist University on 4th Aug 2017. The retrospectively registered number is HASC/Student/17-18/0115

Electronic supplementary material

The online version of this article (10.1186/s13020-018-0189-6) contains supplementary material, which is available to authorized users.

Demographic and Clinical Characteristics Associated with Engagement in Behavioral Health Treatment Among Children with Autism Spectrum Disorders

This study investigates demographic and clinical factors associated with initiation, continuation, and adherence to behavioral health treatment (BHT) among children with autism spectrum disorder. Among 293 insured children referred for applied behavior analysis (ABA) based BHT, 23% never initiated treatment. Among those initiating treatment, 31% discontinued treatment within 1 year of treatment initiation, and only 15% received 80% or more of recommended treatment hours. Younger age at referral to treatment, private health insurance, and receiving more than 10 h/week of BHT were associated with treatment engagement. Co-occurring psychiatric and medical conditions were related to treatment discontinuation among children 5 years or older. These findings suggest specific subgroups that may benefit from additional support with engaging in recommended behavioral health treatment.

Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study

BACKGROUND

Multi-Scale Ranked Organizing Map coupled with Implicit Function as Squashing Time algorithm(MS-ROM/I-FAST) is a new, complex system based on Artificial Neural networks (ANNs) able to extract features of interest in computerized EEG through the analysis of few minutes of their EEG without any preliminary pre-processing. A proof of concept study previously published showed accuracy values ranging from 94%-98% in discerning subjects with Mild Cognitive Impairment and/or Alzheimer's Disease from healthy elderly people. The presence of deviant patterns in simple resting state EEG recordings in autism, consistent with the atypical organization of the cerebral cortex present, prompted us in applying this potent analytical systems in search of a EEG signature of the disease.

AIM OF THE STUDY

The aim of the study is to assess how effectively this methodology distinguishes subjects with autism from typically developing ones.

METHODS

Fifteen definite ASD subjects (13 males; 2 females; age range 7-14; mean value = 10.4) and ten typically developing subjects (4 males; 6 females; age range 7-12; mean value 9.2) were included in the study. Patients received Autism diagnoses according to DSM-V criteria, subsequently confirmed by the ADOS scale. A segment of artefact-free EEG lasting 60 seconds was used to compute input values for subsequent analyses. MS-ROM/I-FAST coupled with a well-documented evolutionary system able to select predictive features (TWIST) created an invariant features vector input of EEG on which supervised machine learning systems acted as blind classifiers.

RESULTS

The overall predictive capability of machine learning system in sorting out autistic cases from normal control amounted consistently to 100% with all kind of systems employed using training-testing protocol and to 84% - 92.8% using Leave One Out protocol. The similarities among the ANN weight matrixes measured with apposite algorithms were not affected by the age of the subjects. This suggests that the ANNs do not read age-related EEG patterns, but rather invariant features related to the brain's underlying disconnection signature.

CONCLUSION

This pilot study seems to open up new avenues for the development of non-invasive diagnostic testing for the early detection of ASD.

Educational and Behavioral Interventions in Management of Autism Spectrum Disorder

The increasing prevalence of autism spectrum disorder (ASD) makes early recognition, evaluation and management an important task for pediatricians, physicians and other professionals caring for children. Educational interventions form the mainstay of management for children with autism spectrum disorder. Such interventions focus on improving social interaction, communication and challenging behaviors, thereby promoting learning and independence in children. This article provides an overview of educational and behavioral interventions in autism spectrum disorder, with special reference to challenges and feasible solutions in the Indian context. Articles were retrieved from various databases including Google Scholar, Medscape, Cochrane, PubMed using the search terms 'autism spectrum disorder OR autism AND educational interventions'; 'autism spectrum disorder OR autism, educational interventions AND India' and 'autism spectrum disorder OR autism AND India'. Reference lists from retrieved articles as well as websites of organizations working in this space in India were also searched. Extracted manuscripts were analysed for content related to various aspects of educational and behavioral interventions in autism spectrum disorder. Intervention models for autism spectrum disorder are based on various theoretical orientations and target specific deficits associated with the disorder. In addition, evidence-based principles for effective intervention are highlighted. In developing countries like India, access to interventions is a challenge and resources are limited. In such settings, the pediatrician's or physician's role is vital in supporting families choose programs that are evidence-based, target individual needs and result in improved outcomes.

Use of the Modified Checklist for Autism, Revised with Follow Up-Albanian to Screen for ASD in Albania

The Modified Checklist for Autism in Toddlers Revised-Albanian screener (M-CHAT-R-A) was used to screen 2594 toddlers, aged 16-30 months, at well-child visits. Two hundred fifty-three (9.75 %) screened positive; follow up on failed items were conducted by phone with 127 (50 %); the remainder were lost to follow-up. Twenty-six toddlers (21 %) continued to screen positive; 19 received full evaluations, which assessed for ASD with the Autism Diagnostic Observation Schedule and developmental delays with the Parents Assessment of Developmental Status-Developmental Milestones. All evaluated children had significant delays; 17 of the 19 met criteria for Autism/ASD. Removal of three items improved performance. Although Albania and the US are quite different in culture and language, key features of ASD appeared very similar.

Interventions that target improvements in mental health for parents of children with autism spectrum disorders: A narrative review

Prevalence of autism spectrum disorders (ASD) suggest that one in 68 children is affected. With convincing evidence that parenting a child with ASD is associated with elevated distress and mental health problems, researchers have begun to investigate treatments that directly target parents' psychological well-being. We conducted a narrative review of studies that empirically tested the effects of interventions targeting improvements in the mental health of parents of children with ASD. Following a range of search strategies, a total of 13 studies, seven randomized controlled trials (RCTs) and six pre-post test designs, met inclusion criteria. We calculated and reported effect sizes for all RCTs. On average, treatment produced medium to large effect sizes with improvements in parenting stress and general health, and reductions in depression and anxiety. Interventions that appeared promising included: Stress Management and Relaxation Techniques, Expressive Writing, Mindfulness-Based Stress Reduction, and Acceptance and Commitment Therapy. However, only one study conducted a follow-up assessment >3months post intervention. Study populations primarily consisted of English-speaking mothers, ages 39 to 42years. Conclusions were limited by small sample sizes, homogeneity of sample population, and reliance on self-report. Therefore, this body of research contains significant limitations in need of improvement for this field to move forward and benefit a sizable number of parents.

A Functional Developmental Approach to Autism Spectrum Disorders

Historically, severe developmental disabilities, including autism, have been approached from the point of view of presenting symptoms as well as the overall syndrome. Although individual practitioners, such as speech pathologists, occupational and physical therapists, and educators have worked with the child's individual capacities, a developmentally based functional approach has not been sufficiently articulated and systematized to guide assessment, intervention, and research efforts. In this article, we describe a dynamic, developmental model that conceptualizes the child's functional emotional developmental capacities, individual differences in sensory processing and modulation, motor planning and sequencing, as well as child/caregiver and family interaction patterns. Because each child with developmental challenges is unique, the functional developmental approach will capture the child's special strengths and challenges, as well as provide a more comprehensive and individualized framework for clinical work with a child and his or her family.

Two-Year Evaluation of a Vocational Support Program for Adults on the Autism Spectrum

In this article the authors provide a description and evaluation of a vocational support program for adults with autism spectrum disorders (ASD). They followed 9 participants through 2 years of the program. Increases in employment rates and income were found for program participants, and 7 participants retained their initial job placements through the 2-year period. Employers rated program participants highly on a range of important job skills, although these individuals continued to experience social challenges in the workplace. Case notes offer further insight into the experiences of adults with ASD in the workplace. Overall, the results suggest that individuals on the autism spectrum can be successful in competitive, entry-level employment.

The effect of oxytocin nasal spray on social interaction deficits observed in young children with autism: a randomized clinical crossover trial

Interventions for autism are limited. The synthetic hormone oxytocin may provide a potential treatment to improve core social and behavioral difficulties in autism, but its efficacy has yet to be evaluated in young children who potentially may benefit to a greater extent. We investigated the efficacy, tolerability and safety of oxytocin treatment in young children with autism using a double-blind, randomized, placebo-controlled, crossover, clinical trial. Thirty-one children with autism received 12 International Units (IU) of oxytocin and placebo nasal spray morning and night (24 IU per day) for 5 weeks, with a 4-week washout period between each treatment. Compared with placebo, oxytocin led to significant improvements on the primary outcome of caregiver-rated social responsiveness. Overall, nasal spray was well tolerated, and the most common reported adverse events were thirst, urination and constipation. This study is the first clinical trial to support the potential of oxytocin as an early intervention for young children with autism to help improve social interaction deficits.

Specifying the Nature and Course of the Joint Attention Impairment in Autism in the Preschool Years

The paper reviews recent experimental findings into the extent and specificity of the joint attention impairments shown by preschool children with autism. In contrast to the commonly held view that children with autism are impaired in declarative gestures but intact in requesting gestures, the pattern of intact and impaired joint attention abilities revealed by recent research is more complex. The research reviewed represents a significant advance on previous findings by dissociating form and function in gestural communicative acts, by adopting a developmental perspective and thus identifying changes in the precise nature of the joint attention impairments over time, and by taking advantage of recent advances in early detection and diagnosis that enable us to study very young preschoolers with autism. The lessons to be learnt from this research for clinical diagnosis, and early intervention and education programmes, are considered.

A Brief Clinical Scale for the Early Evaluation of Imitation Disorders in Autism

Many authors have described a deficit of imitation of gestures and of symbolic and affective tasks in infants and young children with autism. This deficit is paradoxically associated with echolalia (atypical verbal imitation) and echopraxia (atypical gesture imitation) which in themselves appear to be excessive imitation. We have developed a brief clinical scale, the Imitation Disorders Evaluation scale (IDE scale), to evaluate these different early features of imitation disorders in autism. The present article reports (1) the validation study (inter- rater reliability, factor analysis) of the IDE scale carried out with a population of 30 infants and young children with autism aged from 10 to 46 months, and (2) the results of a follow-up study in which this scale was applied to a group of young children with autism (from 30 to 46 months) over 9 months’ treatment. Factor analysis provided two factors: factor 1, called ‘deficient imitation’, comprising six items describing a deficit of facial, gestural, vocal and affective imitation; and factor 2, called ‘atypical imitation’, including echolalia, echopraxia and variability of imitation. The descriptive results of the follow-up study emphasize the sensitivity of the IDE scale for assessment of improvement in imitation disorders of early autism.

Dysregulation of pretend play and communication development in children with autism

We hypothesized that the difficulties of the child with autism originate from disorders of organization and regulation of actions according to environmental changes. Autism impoverishes general mental representation skills, which are the basis of symbolic play and the development of communication. Twenty-one children with autism were compared with 14 children with global intellectual impairment and 15 matched typically developing children, on both regulation of play activities and communication development. Regulation of play was very disordered in children with autism, with breaking off, dissociation and instability of actions. However, in directed play their actions were more structured and corresponded to a better developmental level. In addition, dysregulation was associated with delayed, heterogeneous development of communication skills. The results of this study are in line with our hypotheses and emphasize the role of symbolic play in differential diagnosis and the value of therapies based on regulation processes and symbolic play.

Cochlear Implantation in Children With Autism Spectrum Disorder

OBJECTIVE

To assess the outcome of cochlear implantation in children with autism spectrum disorder (ASD).

STUDY DESIGN

Retrospective case review and survey.

SETTING

Tertiary referral center.

PATIENTS

Children who meet criteria for cochlear implantation and diagnosis of ASD.

MAIN OUTCOME MEASURES

Receptive and expressive language scores and parental survey data.

RESULTS

Fifteen patients with history of ASD and cochlear implantation were analyzed and compared with 15 patients who received cochlear implant and have no other disability. Postoperatively, more than 67% of children with ASD significantly improved their speech perception skills, and 60% significantly improved their speech expression skills, whereas all patients in the control group showed significant improvement in both aspects. The top 3 reported improvements after cochlear implantation were name recognition, response to verbal requests, and enjoyment of music. Of all behavioral aspects, the use of eye contact was the least improved. Survey results in regard to improvements in patient interaction were more subtle when compared with those related to sound and speech perception. The most improved aspects in the ASD patients' lives after cochlear implantation seemed to be attending to other people's requests and conforming to family routines. Of note, awareness of the child's environment is the most highly ranked improvement attributed to the cochlear implant.

CONCLUSION

Cochlear implants are effective and beneficial for hearing impaired members of the ASD population, although development of language may lag behind that of implanted children with no additional disabilities. Significant speech perception and overall behavior improvement are noted.

A cleanroom sleeping environment's impact on markers of oxidative stress, immune dysregulation, and behavior in children with autism spectrum disorders

BACKGROUND

An emerging paradigm suggests children with autism display a unique pattern of environmental, genetic, and epigenetic triggers that make them susceptible to developing dysfunctional heavy metal and chemical detoxification systems. These abnormalities could be caused by alterations in the methylation, sulfation, and metalloprotein pathways. This study sought to evaluate the physiological and behavioral effects of children with autism sleeping in an International Organization for Standardization Class 5 cleanroom.

METHODS

Ten children with autism, ages 3-12, slept in a cleanroom for two weeks to evaluate changes in toxin levels, oxidative stress, immune dysregulation, and behavior. Before and after the children slept in the cleanroom, samples of blood and hair and rating scale scores were obtained to assess these changes.

RESULTS

Five children significantly lowered their concentration of oxidized glutathione, a biomarker of oxidative stress. The younger cohort, age 5 and under, showed significantly greater mean decreases in two markers of immune dysregulation, CD3% and CD4%, than the older cohort. Changes in serum magnesium, influencing neuronal regulation, correlated negatively while changes in serum iron, affecting oxygenation of tissues, correlated positively with age. Changes in serum benzene and PCB 28 concentrations showed significant negative correlations with age. The younger children demonstrated significant improvements on behavioral rating scales compared to the older children. In a younger pair of identical twins, one twin showed significantly greater improvements in 4 out of 5 markers of oxidative stress, which corresponded with better overall behavioral rating scale scores than the other twin.

CONCLUSIONS

Younger children who slept in the cleanroom altered elemental levels, decreased immune dysregulation, and improved behavioral rating scales, suggesting that their detoxification metabolism was briefly enhanced. The older children displayed a worsening in behavioral rating scale performance, which may have been caused by the mobilization of toxins from their tissues. The interpretation of this exploratory study is limited by lack of a control group and small sample size. The changes in physiology and behavior noted suggest that performance of larger, prospective controlled studies of exposure to nighttime or 24 hour cleanroom conditions for longer time periods may be useful for understanding detoxification in children with autism.

TRIAL REGISTRATION

Clinical Trial Registration Number NCT02195401 (Obtained July 18, 2014).

ESAT and M-CHAT as screening instruments for autism spectrum disorders at 18 months in the general population: issues of overlap and association with clinical referrals

The Modified Checklist for Autism in Toddlers (M-CHAT) and the Early Screening of Autistic Traits (ESAT) were designed to screen for autism spectrum disorders in very young children. The aim of this study was to explore proportions of children that screened positive on the ESAT or the M-CHAT and to investigate if screening positive on the ESAT and M-CHAT is associated with clinical referral by 18 months and other aspects of children's development, health, and behavior. In this study, the mothers of 12,948 18-month-old children returned a questionnaire consisting of items from the ESAT and M-CHAT, plus questions about clinical and developmental characteristics. The M-CHAT identified more screen-positive children than the ESAT, but the ESAT was associated with more clinical referrals and tended to identify more children with medical, language, and behavioral problems. A post hoc analysis of combining the two instruments found this to be more effective than the individual instruments alone in identifying children referred to clinical services at 18 months. Further analysis at the level of single items is warranted to improve these screening instruments.

The cost of autism spectrum disorders

Objective

A diagnosis of an autism spectrum disorders is usually associated with substantial lifetime costs to an individual, their family and the community. However, there remains an elusive factor in any cost-benefit analysis of ASD diagnosis, namely the cost of not obtaining a diagnosis. Given the infeasibility of estimating the costs of a population that, by its nature, is inaccessible, the current study compares expenses between families whose children received a formal ASD diagnosis immediately upon suspecting developmental atypicality and seeking advice, with families that experienced a delay between first suspicion and formal diagnosis.

Design

A register based questionnaire study covering all families with a child with ASD in Western Australia.

Participants

Families with one or more children diagnosed with an ASD, totalling 521 children diagnosed with an ASD; 317 records were able to be included in the final analysis.

Results

The median family cost of ASD was estimated to be AUD $34,900 per annum with almost 90% of the sum ($29,200) due to loss of income from employment. For each additional symptom reported, approximately $1,400 cost for the family per annum was added. While there was little direct influence on costs associated with a delay in the diagnosis, the delay was associated with a modest increase in the number of ASD symptoms, indirectly impacting the cost of ASD.

Conclusions

A delay in diagnosis was associated with an indirect increased financial burden to families. Early and appropriate access to early intervention is known to improve a child's long-term outcomes and reduce lifetime costs to the individual, family and society. Consequently, a per symptom dollar value may assist in allocation of individualised funding amounts for interventions rather than a nominal amount allocated to all children below a certain age, regardless of symptom presentation, as is the case in Western Australia.

The importance of early identification and intervention for children with or at risk for autism spectrum disorders

There has been a dramatic rise in the number of children being diagnosed with autism spectrum disorders (ASD), which has led to increased attention paid to assessment and intervention issues. This manuscript agrees with Camarata (2014) that the evidence base for early assessment and intervention should be expanded. However, it disagrees with Warren et al.'s (2011) assumption that there are not empirically validated early interventions. Reliable diagnosis has been documented during infancy and toddlerhood, and evidence suggests that the earlier the onset of intervention, the greater likelihood of an improved developmental trajectory. It is argued that early intervention is more cost and time efficient than a "wait and see" approach. With regard to published studies, the large amount of heterogeneity in the ASD population supports the use of rigorous single case experimental design research. It is an error to limit empirical evidence for treatments to only randomized clinical trials, which have the weakness of masking individual differences. Single case experimental designs examine the effects of intervention beyond typical maturation by allowing for clear estimations of developmental trajectories prior to the onset of intervention, followed by evaluation of the impact of the intervention. This commentary discusses the short- and long-term benefits of early diagnosis and intervention.

Systematic Individualized Narrative Language Intervention on the Personal Narratives of Children With Autism

Purpose

The purpose of this study was to investigate the effect of an individualized, systematic language intervention on the personal narratives of children with autism.

Method

A single-subject, multiple-baseline design across participants and behaviors was used to examine the effect of the intervention on language features of personal narratives. Three 6- to 8-year-old boys with autism participated in 12 individual intervention sessions that targeted 2–3 story grammar elements (e.g., problem, plan) and 3–4 linguistic complexity elements (e.g., causal subordination, adverbs) selected from each participant's baseline performance. Intervention involved repeated retellings of customized model narratives and the generation of personal narratives with a systematic reduction of visual and verbal scaffolding. Independent personal narratives generated at the end of each baseline, intervention, and maintenance session were analyzed for presence and sophistication of targeted features.

Results

Graphical and statistical results showed immediate improvement in targeted language features as a function of intervention. There was mixed evidence of maintenance 2 and 7 weeks after intervention.

Conclusion

Children with autism can benefit from an individualized, systematic intervention targeting specific narrative language features. Greater intensity of intervention may be needed to gain enduring effects for some language features.