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Parents (n = 11,845) completed the Modified Checklist for Autism in Toddlers (or its latest revision) at pediatric visits. Using sociodemographic predictors of maternal education and race, binary logistic regressions were utilized to examine differences in autism screening, diagnostic evaluation participation rates and outcomes, and reasons for non-participation. Families of lower maternal education and racial minorities exhibited inflated initial screen positive rates and lower participation at Follow-Up, although not at the evaluation. Economic challenges, such as invalid phone numbers, were identified as barriers to reaching these families. Families of higher education and White race were more likely to decline participation in evaluation. Results suggest the need for increased public education about childhood development to enhance awareness, reduce stigma, and streamline screening.

Cognitive functioning has historically been used to predict adaptive outcomes of people with autism spectrum disorders; however, research shows that it is not a complete predictor. The current study explored whether emotion perception was a predictor of adaptive outcomes, and more specifically, hypothesized that emotion perception (Diagnostic Analysis of Nonverbal Accuracy-2 error scores) would mediate adaptive functioning of people with autism spectrum disorder (Vineland Adaptive Behavior Scales, Second Edition). People with autism spectrum disorders demonstrated significantly lower adaptive functioning and emotion perception skills compared to typically developing individuals. Emotion perception acted as a significant mediator for socialization, but not communication or daily living skills, highlighting that in people with autism spectrum disorders, lower socialization abilities is the result, in part, of emotion perception deficits. It was unexpected that emotion perception was not a mediator for communication skills. This may be related to sample restrictions, or the narrow focus on emotion perception. Future research should involve a larger, more inclusive autism spectrum disorder sample, broaden approaches to exploring relationships between social perception and adaptive outcomes, and relate findings to brain mechanisms underlying emotion perception.

The goals of our study were to (a) compare agreement between autism spectrum disorder diagnosis and outcome of the Modified Checklist for Autism in Toddlers and Parents Evaluation of Developmental Status in a sample of toddlers and (b) examine specific concerns noted for toddlers who screened negative on the Modified Checklist for Autism in Toddlers or Parents Evaluation of Developmental Status but were later diagnosed with autism spectrum disorder. Participants were administered the Modified Checklist for Autism in Toddlers and Parents Evaluation of Developmental Status during well-child visits. Families were invited for a clinical evaluation if autism spectrum disorder symptoms were noted on the Modified Checklist for Autism in Toddlers and Modified Checklist for Autism in Toddlers Follow-Up Interview or if autism spectrum disorder concerns were noted by the pediatrician. Fifty-two children completed the Modified Checklist for Autism in Toddlers, Parents Evaluation of Developmental Status, and a clinical evaluation, and 30 of these children were diagnosed with an autism spectrum disorder. Modified Checklist for Autism in Toddlers results showed higher agreement with autism spectrum disorder diagnosis than any individual Parents Evaluation of Developmental Status screen result, although the latter detected many children with other developmental concerns. Children who screened negative on the Modified Checklist for Autism in Toddlers or Parents Evaluation of Developmental Status but were diagnosed with autism spectrum disorder had concerns noted in sensory response and proto-declarative pointing that can be considered in the context of screen results. In sum, our findings support universal autism spectrum disorder--specific screening in addition to general developmental screening and offer considerations to encourage early identification of toddlers with autism spectrum disorder.

Introduction: Records-based autism spectrum disorder surveillance developed at the Centers for Disease Control and Prevention has been extended to younger cohorts, although the utility of additional record sources has not been examined. We therefore conducted a pilot project to describe whether Centers for Disease Control and Prevention surveillance could identify younger children with an autism spectrum disorder evaluated as part of an ongoing screening study at Georgia State University. Methods: In all, 31 families of children who screened positive for autism spectrum disorder and received a clinical evaluation at Georgia State University agreed to participate in the project. Of these, 10 children lived inside the surveillance area and had records abstracted and reviewed for this project. Centers for Disease Control and Prevention surveillance results (i.e. autism spectrum disorder or non-autism spectrum disorder) were compared with Georgia State University evaluation results (i.e. autism spectrum disorder or non-autism spectrum disorder). Results: In all, 4 of the 10 children were diagnosed with an autism spectrum disorder after the Georgia State University evaluation. None of the 4 children with an autism spectrum disorder were identified by current Centers for Disease Control and Prevention surveillance methods but all 4 children were identified by Centers for Disease Control and Prevention surveillance methods when additional record sources were included (i.e. records from the statewide early intervention program and Georgia State University evaluation). Conclusion: These findings suggest that partnering with early intervention programs and encouraging early autism spectrum disorder screening might improve autism spectrum disorder surveillance among young children.

We examined facial electromyography (fEMG) activity to dynamic, audio-visual emotional displays in individuals with autism spectrum disorders (ASD) and typically developing (TD) individuals. Participants viewed clips of happy, angry, and fearful displays that contained both facial expression and affective prosody while surface electrodes measured "corrugator supercilli" and zygomaticus major facial muscle activity. Across measures of average and peak activity, the TD group demonstrated emotion-selective fEMG responding, with greater relative activation of the zygomatic to happy stimuli and greater relative activation of the corrugator to fearful stimuli. In contrast, the ASD group largely showed no significant differences between zygomatic and corrugator activity across these emotions. There were no group differences in the magnitude and timing of fEMG response in the muscle congruent to the stimuli. This evidence that fEMG responses in ASD are undifferentiated with respect to the valence of the stimulus is discussed in light of potential underlying neurobiological mechanisms. (Contains 4 figures, 1 table, and 8 footnotes.)

Autism spectrum disorder (ASD) diagnosis is based on behavioral presentation; changes in conceptual models or defining behaviors may significantly impact diagnosis and uptake of ASD-specific interventions. The literature examining impact of DSM-5 criteria is equivocal. Toddlers may be especially vulnerable to the stringent requirements of impairment in all three social-communication symptoms and two restricted/repetitive symptoms. Receiver operating characteristic (ROC) curves identified optimal cutoffs for sums of ADOS and ADI-R criteria mapped to each criterion for 422 toddlers. The optimal modification of DSM-5 criteria (sensitivity = 0.93, specificity = 0.74) required meeting the ROC-determined cutoffs for 2/3 Domain A criteria and 1 point for 1/4 Domain B criteria. This modification will help insure that ASD is identified accurately in young children, facilitating ASD-specific early intervention.

This study documents the relation between an autism spectrum disorder (ASD) diagnosis, increases in intervention, and changes in parent-child interaction quality. Information about intervention and observations of interaction were collected before diagnosis and a half year after diagnosis for 79 low-risk toddlers who had screened positive for ASD risk during a well-baby checkup. Children diagnosed with ASD (n = 44) were 2.69 times more likely to increase intervention hours. After ASD diagnosis, the relation between intervention and interaction quality was complex: although increases in intervention and interaction quality were only modestly related, the overall amount of intervention after diagnosis was associated with higher quality interactions. Moreover, lower quality interactions before diagnosis significantly increased the likelihood that intervention would increase post-diagnosis., Author(s): Katharine Suma[sup.1] , Lauren B. Adamson[sup.1] , Roger Bakeman[sup.1] , Diana L. Robins[sup.2] , Danielle N. Abrams[sup.1] Author Affiliations: (1) Department of Psychology, Georgia State University, 30303-5010, Atlanta, GAUSA [...]

We examined whether clinically distinct subgroups can be derived from a sample of toddlers (n = 186) who failed the Modified Checklist for Autism in Toddlers, received a comprehensive clinical evaluation, and were diagnosed with an autism spectrum disorder (ASD). Three subgroups emerged from cluster analysis distinguished by (a) social, communication, and intellectual skills and (b) the rate and intensity of repetitive behaviors and abnormal sensory response. Preoccupations, compulsions, and rituals did not distinguish resultant subgroups. These results support a dimensional diagnostic view of ASDs in toddlers since subgroup differences were based on symptom severity rather than different symptom profiles. Results also identify specific types and levels of behavioral deficit relevant to toddler populations. Implications for early diagnosis are discussed.

The purpose of this study was to explore the sensory profile of young children with ASD compared to young children with other developmental delays (DD) at first ASD assessment. Results found that young children with ASD had more tactile and taste/smell sensitivities and difficulties with auditory filtering than young children with other DD. Moreover, sensory scores were significantly correlated with stereotyped interests and behaviors. These findings support the hypotheses that young children with ASD show more sensory impairments than young children with other DD and that sensory symptoms are significantly related to stereotyped interests and behaviors. Results also suggest that sensory abnormalities are distinguishing symptoms of ASD that should be considered in diagnostic algorithms for younger cohorts.

Perception of emotion is critical for successful social interaction, yet the neural mechanisms underlying the perception of dynamic, audio-visual emotional cues are poorly understood. Evidence from language and sensory paradigms suggests that the superior temporal sulcus and gyrus (STS/STG) play a key role in the integration of auditory and visual cues. Emotion perception research has focused on static facial cues; however, dynamic audio-visual (AV) cues mimic real-world social cues more accurately than static and/or unimodal stimuli. Novel dynamic AV stimuli were presented using a block design in two fMRI studies, comparing bimodal stimuli to unimodal conditions, and emotional to neutral stimuli. Results suggest that the bilateral superior temporal region plays distinct roles in the perception of emotion and in the integration of auditory and visual cues. Given the greater ecological validity of the stimuli developed for this study, this paradigm may be helpful in elucidating the deficits in emotion perception experienced by clinical populations. (Contains 4 tables and 5 figures.)

This study reviews recent research related to the neurobiology of Autism Spectrum Disorders (ASDs) an provides an empirical analysis of current assessment practices. Data were collected through a survey of 117 school psychologists. The Childhood Autism Rating Scale (CARS), Gilliam Autism Rating Scale (GARS), and Gilliam Asperger's Disorder Scale (GADS) were the most frequently used measures. Among the less popular, but more intensive instruments, the Autism Diagnostic Observation Schedule (ADOS) appears to be gaining popularity within school-based evaluations. Generally, respondents approached the assessment of ASDs from a traditional psychoeducational perspective and reported the use of a very narrow range of ASD-specific instruments. Concerns are raised regarding the inconsistent inclusion of developmental questionnaires, parent/guardian interviews, and medical professionals in the ASD evaluation process. Implications for practice and the training of school psychologists are discussed. (Contains 3 tables)

Autism spectrum disorders (ASD) often go undetected in toddlers. The Modified Checklist for Autism in Toddlers (M-CHAT) was used to screen 3,793 children aged 16-30 months from low- and high-risk sources; screen positive cases were diagnostically evaluated. Re-screening was performed on 1,416 children aged 42-54 months. Time1 Positive Predictive Value (PPV) was .36 for the initial screening and .74 for the screening plus follow-up telephone interview; values were similar for Time2 PPV. When separating referral sources, PPV was low for the low-risk sample but acceptable with the follow-up telephone interview. Children with ASD from the low-risk and high-risk samples were highly similar. Results indicate that the M-CHAT continues to be a promising instrument for the early detection of ASD.

Past research shows poor agreement between the Autism Diagnostic Interview-Revised (ADI-R) and other diagnostic measures in toddlers. Our goal was to examine whether exclusion of the ADI-R behavioral domain results in improved diagnostic agreement. Toddlers aged 16-37 months (M = 26 months) received an evaluation because they failed the Modified Checklist for Autism in Toddlers (n = 142). Evaluations included the ADI-R, Autism Diagnostic Observation Schedule, Childhood Autism Rating Scale, and clinical judgment. Results found poor to fair agreement between the ADI-R and other measures; agreement improved when the ADI-R behavioral domain was excluded. These findings suggest that stereotyped interests and behaviors are not as relevant to the ADI-R as other diagnostic criteria when evaluating toddlers for autism spectrum disorders.

The need for autism-specific screening during pediatric well-child visits has been established. However, additional support for specific screening instruments is needed. The current study used the Modified Checklist for Autism in Toddlers (M-CHAT) and the M-CHAT Follow-Up Interview to screen 4797 children during toddler checkups. Of the 4797 cases, 466 screened positive on the M-CHAT; of the 362 who completed the follow-up interview, 61 continued to show risk for autism spectrum disorders (ASDs). A total of 41 children have been evaluated; 21 children have been diagnosed with ASD, 17 were classified with non-ASD delays, and three were typically developing. The PPV of M-CHAT plus interview was 0.57. It is notable that only four of the 21 cases of ASD were flagged by their pediatrician. These findings suggest that the M-CHAT is effective in identifying ASD in primary care settings. Future research will follow this sample longitudinally. (Contains 1 figure, 2 tables and 1 note.)

The Modified Checklist for Autism in Toddlers (M-CHAT) was used to screen younger (16-23 months) versus older (24-30 months) high- and low-risk toddlers. Refusal rates for follow-up interview showed no group differences, but parents of younger/low-risk children were more likely to refuse evaluation than parents of high-risk children. PPP for an ASD diagnosis was: younger/high-risk 0.79, older/high-risk 0.74, younger/low-risk 0.28, and older/low-risk 0.61, with PPP differing by age within the low-risk group. Most of the children in all groups, however, were diagnosed with a developmental disorder. Symptom severity generally did not differ among groups. Cognitive and adaptive measures showed minimal group differences. Therefore, older and younger toddlers had similar symptomatology and developmental delays; PPP for ASD is better at 24 than 18 months for low-risk children; however, these children are still highly likely to show a developmental disorder. Clinical decision making should balance early identification against the lower specificity of M-CHAT screening for the younger/low-risk group. (Contains 5 tables and 4 figures.)

The Modified Checklist for Autism in Toddlers (M-CHAT), consisting of 23 yes/no items, was used to screen 1,293 children. Of the 58 given a diagnostic/developmental evaluation, 39 were diagnosed with autism. Six items pertaining to social relatedness and communication provided the best means of discrimination among children. (Contains references.) (Author/CR)

Objective: It has been suggested that the sequelae of trauma are under‐recognized in youth on the autism spectrum. We aimed to generate expert consensus regarding important trauma indicators, including but not limited to traumatic stress symptoms, in autistic youth. Methods: We recruited 72 experts in autism and/or childhood trauma. Via a 2‐round Delphi survey, experts commented on and rated the importance of 48 potential indicators, drawn from PTSD criteria and a broader literature on traumatic sequelae in autism. A revised list of 51 indicators, 18 clinical guidelines developed from expert comments, and summaries of expert qualifications and ratings from Round 1 were submitted to a second round (n = 66; 92% retention) of expert review and rating. Results: Twenty‐two indicators reached consensus (>75% round 2 endorsement). Many, but not all, reflected PTSD criteria, including intrusions (e.g., trauma re‐enactments in perseverative play/speech), avoidance of trauma‐reminders, and negative alterations in mood/cognition (e.g., diminished interest in activities) and in arousal/reactivity (e.g., exaggerated startle). Experts also identified increased reliance on others, adaptive and language regressions, self‐injurious behavior, and non‐suicidal self‐injury as important indicators. Consensus guidelines emphasized the need for tailored measures, developmentally informed criteria, and multiple informants to increase diagnostic accuracy. Conclusions: Expert consensus emphasizes and informs a need for tailored diagnostic guidelines and measures to more sensitively assess traumatic reactions in autistic youth. [ABSTRACT FROM AUTHOR]

Early detection of autism provides access to early intervention and subsequently fewer lifelong challenges. However, disparities in screening have been associated with socioeconomic status (SES) and race, and disparities in surveillance have been associated with clinician knowledge and beliefs about autism identification. The present study examines associations between demographic variables and clinician beliefs, and agreement between screening results and clinician surveillance. Surveillance included activities used by the primary care clinicians (PCCs) to assess risk for autism. PCCs reported their beliefs about autism screening and identification, their sex, race, years in practice, and racial distribution of their patient population. Children's demographic information was also collected. PCCs identified children as having, or not having, an increased likelihood of autism, and parents of children completed an autism screener. Agreement between screening and surveillance results were examined across PCC, practice, and child demographics. Higher confidence in autism knowledge and screening resources, female PCC sex, and majority White practice patient demographics all predicted agreement between screening and surveillance. Female child sex and higher maternal education also predicted agreement between screening and surveillance. These findings highlight the importance of PCC screening beliefs and child and PCC demographics on the autism identification process. [ABSTRACT FROM AUTHOR]

Objective: Autism spectrum disorder (ASD) in very young children with significant cognitive impairment is difficult to diagnose, depriving them of the earliest opportunities for autism-specific intervention. This study delineated specific symptoms in this group, compared to symptoms in children with Global Developmental Delay (GDD) and in ASD with milder developmental delays.Method: Autism Diagnostic Observation Schedule, 2nd Edition, Toddler Module revealed symptoms in three groups of toddlers, with mean ages of 17-20 months: (1) ASD and cognitive/language functioning below the 12-month level (ASD-MA < 12 mos; n = 28), (2) GDD (n = 27), and (3) ASD and cognitive/language functioning at or above the 12-month level (ASD–MA ≥ 12 mos; n = 29). Logistic regression models were fit to control for developmental level. Results: Items in all domains (social interaction, communication, repetitive movements) discriminated ASD-MA < 12 mos from GDD. The two ASD groups, matched for age but differing on developmental level, showed strikingly similar ASD symptomatology. Conclusion: ADOS-2 symptoms differentiated ASD-MA < 12 mos from GDD, after controlling for cognitive impairment. Symptoms in the two ASD groups were minimally related to developmental level. The ADOS-2 Toddler Module successfully captured ASD symptomatology even in children whose developmental level was below the recommended ADOS-2 cutoff of 12 months, which may increase their access to early ASD-specific intervention. [ABSTRACT FROM AUTHOR]

This article responds to comments (EC 629 869-70) on a study on the reliability of the Modified Checklist for Autism in Toddlers (M-CHAT), a early detection screening test. It addresses concerns relating to clinic vs. population samples, data analysis, use of a parent questionnaire only to identify autism, and the age of screening. (Contains 6 references.) (Author/CR)