Unweaving the autism spectrum.

Although genes associated with human autism spectrum disorders have been identified, bridging the gap between genetics and the patchwork of behavioral deficits associated with the disease remains an enormous challenge. Peñagarikano et al. (2011) now show that mice lacking CNTNAP2, a gene that causes a rare form of epilepsy associated with autistic features and language impairment, display similar phenotypes to their human counterparts, raising hopes that such models may speed the identification of neuronal circuitries underlying the core features of autism.

Examining variability in Naturalistic Developmental Behavioral Intervention strategy use in caregivers of children with autism spectrum disorders.

BACKGROUND: Naturalistic Developmental Behavioral Interventions (NDBIs) for young children with autism spectrum disorder commonly involve caregiver-mediated approaches. However, to date, there is limited research on how caregivers' skills change, and, in turn, impact child outcomes. METHODS: We evaluated the NDBI strategy use of 191 caregivers prior to participation in NDBIs (or control groups) across multiple randomized controlled trials, using the Measure of NDBI Strategy Implementation, Caregiver Change (MONSI-CC). Clustering analyses were used to examine caregiver variability in NDBI strategy use at intervention entry. Generalized Linear Mixed Models were used to examine changes in caregiver strategy use over the course of intervention and its impact on changes in children's social communication. RESULTS: Using clustering analysis, we found that caregivers' baseline skills fit four profiles: limited, emerging, variable, and consistent/high, with few demographic factors distinguishing these groups. Caregivers starting with limited or emerging skills improved in their strategy use with intervention. Caregivers starting with more skills (consistent/high or variable) maintained higher skills over intervention. Children of caregivers in these groups who received target NDBIs improved in their social communication skills. CONCLUSIONS: Results suggested that caregiver skills improve through participation in NDBIs and may directly contribute to their children's outcomes, although more research on mediating factors is needed. Individualized approaches for caregivers and their children starting with differing skill profiles at intervention entry may be warranted.

Safe inhalation pipe provision (SIPP): protocol for a mixed-method evaluation of an intervention to improve health outcomes and service engagement among people who use crack cocaine in England.

BACKGROUND: Over 180,000 people use crack cocaine in England, yet provision of smoking equipment to support safer crack use is prohibited under UK law. Pipes used for crack cocaine smoking are often homemade and/or in short supply, leading to pipe sharing and injuries from use of unsafe materials. This increases risk of viral infection and respiratory harm among a marginalised underserved population. International evaluations suggest crack pipe supply leads to sustained reductions in pipe sharing and use of homemade equipment; increased health risk awareness; improved service access; reduction in injecting and crack-related health problems. In this paper, we introduce the protocol for the NIHR-funded SIPP (Safe inhalation pipe provision) project and discuss implications for impact. METHODS: The SIPP study will develop, implement and evaluate a crack smoking equipment and training intervention to be distributed through peer networks and specialist drug services in England. Study components comprise: (1) peer-network capacity building and co-production; (2) a pre- and post-intervention survey at intervention and non-equivalent control sites; (3) a mixed-method process evaluation; and (4) an economic evaluation. Participant eligibility criteria are use of crack within the past 28 days, with a survey sample of ~ 740 for each impact evaluation survey point and ~ 40 for qualitative process evaluation interviews. Our primary outcome measure is pipe sharing within the past 28 days, with secondary outcomes pertaining to use of homemade pipes, service engagement, injecting practice and acute health harms. ANTICIPATED IMPACT: SIPP aims to reduce crack use risk practices and associated health harms; including through increasing crack harm reduction awareness among service providers and peers. Implementation has only been possible with local police approvals. Our goal is to generate an evidence base to inform review of the legislation prohibiting crack pipe supply in the UK. This holds potential to transform harm reduction service provision and engagement nationally. CONCLUSION: People who smoke crack cocaine in England currently have little reason to engage with harm reduction and drug services. Little is known about this growing population. This study will provide insight into population characteristics, unmet need and the case for legislative reform. TRIAL REGISTRATION: ISRCTN12541454  https://doi.org/10.1186/ISRCTN12541454.

Commentary: Best practices and processes for assessment of autism spectrum disorder - the intended role of standardized diagnostic instruments.

Development of standardized diagnostic instruments has facilitated the systematic characterization of individuals with autism spectrum disorders (ASD) in clinical and research settings. However, overemphasis on scores from specific instruments has significantly detracted from the original purpose of these tools. Rather than provide a definitive "answer," or even a confirmation of diagnosis, standardized diagnostic instruments were designed to aid clinicians in the process of gathering information about social communication, play, and repetitive and sensory behaviors relevant to diagnosis and treatment planning. Importantly, many autism diagnostic instruments are not validated for certain patient populations, including those with severe vision, hearing, motor, and/or cognitive impairments, and they cannot be administered via a translator. In addition, certain circumstances, such as the need to wear personal protective equipment (PPE), or behavioral factors (e.g., selective mutism) may interfere with standardized administration or scoring procedures, rendering scores invalid. Thus, understanding the uses and limitations of specific tools within specific clinical or research populations, as well as similarities or differences between these populations and the instrument validation samples, is paramount. Accordingly, payers and other systems must not mandate the use of specific tools in cases when their use would be inappropriate. To ensure equitable access to appropriate assessment and treatment services, it is imperative that diagnosticians be trained in best practice methods for the assessment of autism, including if, how, and when to appropriately employ standardized diagnostic instruments.

Social competence as a predictor of adult outcomes in autism spectrum disorder.

There is a wealth of literature characterizing social difficulties in autism spectrum disorder (ASD). However, little work has replicated longitudinal findings from typical development that adolescent social competence predicts positive adult outcomes in ASD. The current study examined social competence trajectories from 2 to 26 and the utility of three social competence measures collected in adolescence in predicting work, residential status, friendship, and romantic outcomes in a longitudinal cohort (n = 253) of ASD. Using group-based trajectory modeling, we identified two patterns of social competence development: a low trajectory characterized by slow linear gains throughout childhood and plateauing in adulthood, and a high trajectory characterized by steeper linear gains in childhood followed by decline in adulthood. Regression models indicated one social competence measure, Vineland Social-AE scores, significantly predicted employment, residential status, and friendships in adulthood. One other social competence measure, SSQ total scores, also significantly predicted friendship in adulthood. Only nonverbal IQ at 9 predicted the likelihood of having ever had a romantic relationship. These findings highlight the role of social competence in both atypical and typical development and suggest the social impairments associated with ASD do not necessarily impact all realms of social functioning equally.

Development, acceptability and feasibility of a personalised, behavioural intervention to prevent bacterial skin and soft tissue infections among people who inject drugs: a mixed-methods Person-Based Approach study.

BACKGROUND: Skin and soft tissue infections (SSTI) among people who inject drugs (PWID) are a public health concern. This study aimed to co-produce and assess the acceptability and feasibility of a behavioural intervention to prevent SSTI. METHODS: The Person-Based Approach (PBA) was followed which involves: (i) collating and analysing evidence; (ii) developing guiding principles; (iii) a behavioural analysis; (iv) logic model development; and (v) designing and refining intervention materials. Co-production activities with target group representatives and key collaborators obtained feedback on the intervention which was used to refine its design and content. The intervention, harm reduction advice cards to support conversation between service provider and PWID and resources to support safer injecting practice, was piloted with 13 PWID by four service providers in Bristol and evaluated using a mixed-methods approach. Semi-structured interviews were conducted with 11 PWID and four service providers. Questionnaires completed by all PWID recorded demographic characteristics, SSTI, drug use and treatment history. Interviews were analysed thematically and questionnaires were analysed descriptively. RESULTS: Published literature highlighted structural barriers to safer injecting practices, such as access to hygienic injecting environments and injecting practices associated with SSTI included: limited handwashing/injection-site swabbing and use of too much acidifier to dissolve drugs. Co-production activities and the literature indicated vein care and minimisation of pain as PWID priorities. The importance of service provider-client relationships and non-stigmatising delivery was highlighted through the co-production work. Providing practical resources was identified as important to address environmental constraints to safer injecting practices. Most participants receiving the intervention were White British, male, had a history of SSTI and on average were 43.6 years old and had injected for 22.7 years. The intervention was well-received by PWID and service providers. Intervention content and materials given out to support harm reduction were viewed positively. The intervention appeared to support reflections on and intentions to change injecting behaviours, though barriers to safer injecting practice remained prominent. CONCLUSIONS: The PBA ensured the intervention aligned to the priorities of PWID. It was viewed as acceptable and mostly feasible to PWID and service providers and has transferability promise. Further implementation alongside broader harm reduction interventions is needed.

Diagnostic stability in individuals with autism spectrum disorder: insights from a longitudinal follow-up study.

BACKGROUND: This longitudinal study of autism symptom trajectories provides unique information that can characterize autism features and diagnostic patterns from childhood to adulthood. METHODS: Participants (n = 155) were part of a longitudinal cohort referred for possible autism where in-person assessments were completed at ages 2, 3, 5, 9, 19, and 25. Assessors were blinded to previous diagnoses. Based on adult best estimate diagnoses, participants were categorized into one of the four groups: Retained ASD, Lost ASD, Never Had ASD, or Gained ASD Diagnosis. To examine developmental changes in autism symptoms, mixed models indicated the rate of change in ADOS CSS and ADI-R scores in each diagnostic group. RESULTS: A subset of participants with VIQ> and <70 were assigned a diagnosis in adulthood that differed from diagnoses earlier in development. Across cognitive levels, the majority of novel diagnoses emerged in adulthood. For those with VIQ > 70, improvements in ADOS CSS over time for the Lost Diagnosis group and worsening in CSS in the Gained Diagnosis group were gradual. Individuals with VIQ > 70 who lost a diagnosis even in adulthood could be distinguished on CSS and ADI-R scores by age 5 from those who retained their ASD diagnosis. Although most participants with VIQ < 70 saw decreases in autistic symptoms as a whole, changes in autism diagnoses were confounded by disentangling profound intellectual disability as a differential diagnosis or co-occurrence. Only the Never Had Diagnosis group revealed significant changes in ADOS scores over time, with autism symptoms increasing. CONCLUSIONS: Associated with gradual changes in core features of autism beginning in childhood, diagnoses of autism can shift across development.

Phone duration modeling for speaker age estimation in children.

Automatic inference of paralinguistic information from speech, such as age, is an important area of research with many technological applications. Speaker age estimation can help with age-appropriate curation of information content and personalized interactive experiences. However, automatic speaker age estimation in children is challenging due to the paucity of speech data representing the developmental spectrum, and the large signal variability including within a given age group. Most prior approaches in child speaker age estimation adopt methods directly drawn from research on adult speech. In this paper, we propose a novel technique that exploits temporal variability present in children's speech for estimation of children's age. We focus on phone durations as biomarker of children's age. Phone duration distributions are derived by forced-aligning children's speech with transcripts. Regression models are trained to predict speaker age among children studying in kindergarten up to grade 10. Experiments on two children's speech datasets are used to demonstrate the robustness and portability of proposed features over multiple domains of varying signal conditions. Phonemes contributing most to estimation of children speaker age are analyzed and presented. Experimental results suggest phone durations contain important development-related information of children. The proposed features are also suited for application under low data scenarios.

Sex differences in scores on standardized measures of autism symptoms: a multisite integrative data analysis.

BACKGROUND: Concerns have been raised that scores on standard measures of autism spectrum disorder (ASD) symptoms may differ as a function of sex. However, these findings are hindered by small female samples studied thus far. The current study evaluated if, after accounting for age, IQ, and language level, sex affects ASD severity estimates from diagnostic measures among children with ASD. METHODS: Data were obtained from eight sources comprising 27 sites. Linear mixed-effects models, including a random effect for site, were fit for 10 outcomes (Autism Diagnostic Observation Schedule [ADOS] domain-level calibrated severity scores, Autism Diagnostic Interview-Revised [ADI-R] raw scores by age-based algorithm, and raw scores from the two indices on the Social Responsiveness Scale [SRS]). Sex was added to the models after controlling for age, NVIQ, and an indicator for language level. RESULTS: Sex significantly improved model fit for half of the outcomes, but least square mean differences were generally negligible (effect sizes [ES] < 0.20), increasing to small to moderate in adolescence (ES < 0.40). Boys received more severe RRB scores than girls on both the ADOS and ADI-R (age 4 + algorithm), and girls received more severe scores than boys on both SRS indices, which emerged in adolescence. CONCLUSIONS: This study combined several available databases to create the largest sample of girls with ASD diagnoses. We found minimal differences due to sex beyond other known influences on ASD severity indicators. This may suggest that, among children who ultimately receive a clinical ASD diagnosis, severity estimates do not systematically differ to such an extent that sex-specific scoring procedures would be necessary. However, given the limitations inherent in clinically ascertained samples, future research must address questions about systematic sex differences among children or adults who do not receive clinical diagnoses of ASD. Moreover, while the current study helps resolve questions about widely used diagnostic instruments, we could not address sex differences in phenotypic aspects outside of these scores.

Age of walking and intellectual ability in autism spectrum disorder and other neurodevelopmental disorders: a population-based study.

BACKGROUND: Delayed walking is common in intellectual disability (ID) but may be less common when ID occurs with autism spectrum disorder (ASD). Previous studies examining this were limited by reliance on clinical samples and exclusion of children with severe motor deficits. OBJECTIVE: To examine in a population-based sample if age of walking is differentially related to intellectual ability in children with ASD versus other neurodevelopmental disorders (NDD). METHODS: Participants were from the nested Autism Birth Cohort Study of the Norwegian Mother, Father and Child Cohort Study (MoBa). Cox proportional hazards regression assessed if diagnosis (ASD n = 212 vs. NDD n = 354), continuous nonverbal IQ, and their interaction, were associated with continuous age of walking. RESULTS: The relationship between nonverbal IQ and age of walking was stronger for NDD than for ASD (Group × nonverbal IQ interaction, χ2  = 13.93, p = .0002). This interaction was characterized by a 21% decrease in the likelihood of walking onset at any given time during the observation period per 10-point decrease in nonverbal IQ (hazard ratio = 0.79, 95% CI: 0.78-0.85) in the NDD group compared to 8% (hazard ratio = 0.92, 95% CI: 0.86-0.98) in the ASD group. CONCLUSIONS: The finding that age of walking is less strongly related to low intellectual ability in children with ASD than in children without other NDDs supports the hypothesis that ID in ASD may result from heterogeneous developmental pathways. Late walking may be a useful stratification variable in etiological research focused on ASD and other NDDs.

Damaging de novo mutations diminish motor skills in children on the autism spectrum.

In individuals with autism spectrum disorder (ASD), de novo mutations have previously been shown to be significantly correlated with lower IQ but not with the core characteristics of ASD: deficits in social communication and interaction and restricted interests and repetitive patterns of behavior. We extend these findings by demonstrating in the Simons Simplex Collection that damaging de novo mutations in ASD individuals are also significantly and convincingly correlated with measures of impaired motor skills. This correlation is not explained by a correlation between IQ and motor skills. We find that IQ and motor skills are distinctly associated with damaging mutations and, in particular, that motor skills are a more sensitive indicator of mutational severity than is IQ, as judged by mutational type and target gene. We use this finding to propose a combined classification of phenotypic severity: mild (little impairment of either), moderate (impairment mainly to motor skills), and severe (impairment of both IQ and motor skills).

The adult outcome of children referred for autism: typology and prediction from childhood.

BACKGROUND: Autism Spectrum Disorder is highly heterogeneous, no more so than in the complex world of adult life. Being able to summarize that complexity and have some notion of the confidence with which we could predict outcome from childhood would be helpful for clinical practice and planning. METHODS: Latent class profile analysis is applied to data from 123 participants from the Early Diagnosis Study (Lord et al., Archives of General Psychiatry, 2006, 63, 694) to summarize in a typology the multifacetted early adult outcome of children referred for autism around age 2. The form of the classes and their predictability from childhood is described. RESULTS: Defined over 15 measures, the adult outcomes were reduced to four latent classes, accounting for much of the variation in cognitive and functional measures but little in the affective measures. The classes could be well and progressively more accurately predicted from childhood IQ and symptom severity measurement taken at age 2 years to age 9 years. Removing verbal and nonverbal IQ and autism symptom severity measurement from the profile of adult measures did not change the number of the latent classes; however, there was some change in the class composition and they were more difficult to predict. CONCLUSIONS: While an empirical summary of adult outcome is possible, careful consideration needs to be given to the aspects that should be given priority. An outcome typology that gives weight to cognitive outcomes is well predicted from corresponding measures taken in childhood, even after account for prediction bias from fitting a complex model to a small sample. However, subjective well-being and affective aspects of adult outcome were weakly related to functional outcomes and poorly predicted from childhood.

Predictors of longer-term development of expressive language in two independent longitudinal cohorts of language-delayed preschoolers with Autism Spectrum Disorder.

BACKGROUND: Studies estimate that 30% of individuals with autism are minimally verbal. Understanding what factors predict longer-term expressive development in children with language delays is critical to inform identification and treatment of those at-risk for persistent language impairments. The present study examined predictors of expressive language development in language-delayed preschoolers followed through later school-age and young adulthood. METHODS: Children using single words or less on the Autism Diagnostic Observation Schedule (ADOS) at approximately 3 years old were drawn from the Early Diagnosis (EDX) and Pathways in ASD longitudinal cohorts. Age-3 predictors of Age-19 ADOS language level were identified using Classification and Regression Trees (CART) in the EDX sample. Linear mixed models examined the effects of CART-identified predictors on Vineland expressive communication (VExp) trajectories from Age-3 to Age-19. The same linear mixed models were examined in the Pathways sample, identifying predictors of VExp from ages 3 to 10.5 years. RESULTS: Significantly delayed fine motor skills (T-score < 20) was the strongest CART predictor of Age-19 language. In the linear mixed models, time, Age-3 fine motor skills and initiation of joint attention (IJA) predicted VExp trajectories in the EDX sample, even when controlling for Age-3 visual receptive abilities. In the Pathways sample, time and Age-3 fine motor skills were significant predictors of VExp trajectories; IJA and cognitive skills were not significant predictors. CONCLUSIONS: Marked deficits in fine motor skills may be a salient proxy marker for identifying language-delayed children with ASD who are at risk for persistent language impairments. This finding adds to the literature demonstrating a relation between motor and language development in ASD. Investigating individual skill areas (e.g., fine motor and nonverbal problem-solving skills), rather than broader indices of developmental level (e.g., nonverbal IQ) may provide important cues to understanding longer-term language outcomes that can be targeted in early intervention.

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

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

Improving speaker diarization for naturalistic child-adult conversational interactions using contextual information.

While deep learning has driven recent improvements in audio speaker diarization, it often faces performance issues in challenging interaction scenarios and varied acoustic settings such as between a child and adult (caregiver/examiner). In this work, the role of contextual factors that affect diarization performance in such interactions is analyzed. Factors that affect each type of diarization error are identified. Furthermore, a DNN is trained on diarization outputs in conjunction with the factors to improve diarization performance. The results demonstrate the usefulness of incorporating context in improving diarization performance of child-adult interactions in clinical settings.

Language characterization in 16p11.2 deletion and duplication syndromes.

Expressive language impairment is one of the most frequently associated clinical features of 16p11.2 copy number variations (CNV). However, our understanding of the language profiles of individuals with 16p11.2 CNVs is still limited. This study builds upon previous work in the Simons Variation in Individuals Project (VIP, now known as Simons Searchlight), to characterize language abilities in 16p11.2 deletion and duplication carriers using comprehensive assessments. Participants included 110 clinically ascertained children and family members (i.e., siblings and cousins) with 16p11.2 BP4-BP5 deletion and 58 with 16p11.2 BP4-BP5 duplication between the ages of 2-23 years, most of whom were verbal. Regression analyses were performed to quantify variation in language abilities in the presence of the 16p11.2 deletion and duplication, both with and without autism spectrum disorder (ASD) and cognitive deficit. Difficulties in pragmatic skills were equally prevalent in verbal individuals in both deletion and duplication groups. NVIQ had moderate quantifiable effects on language scores in syntax and semantics/pragmatics (a decrease of less than 1 SD) for both groups. Overall, language impairments persisted even after controlling for ASD diagnosis and cognitive deficit. Language impairment is one of the core clinical features of individuals with 16p11.2 CNVs even in the absence of ASD and cognitive deficit. Results highlight the need for more comprehensive and rigorous assessment of language impairments to maximize outcomes in carriers of 16p11.2 CNVs.

Autism spectrum disorder.

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

Sex differences in age-related changes in the sleep-wake cycle.

Age-related changes in sleep and circadian regulation occur as early as the middle years of life. Research also suggests that sleep and circadian rhythms are regulated differently between women and men. However, does sleep and circadian rhythms regulation age similarly in men and women? In this review, we present the mechanisms underlying age-related differences in sleep and the current state of knowledge on how they interact with sex. We also address how testosterone, estrogens, and progesterone fluctuations across adulthood interact with sleep and circadian regulation. Finally, we will propose research avenues to unravel the mechanisms underlying sex differences in age-related effects on sleep.

Stimulus processing and error monitoring in more-able kindergarteners with autism spectrum disorder: a short review and a preliminary Event-Related Potentials study.

Deficits in executive functions (EF) in individuals with autism spectrum disorder (ASD) have been identified. However, there is limited evidence about patterns of deficits in EF-related skills, especially at the neurobiological level, in young children with ASD and little is known about how these skills are related to other domains of functioning and symptom severity. In this study, we provide a focused review of EF-related Event-Related Potentials (ERP) studies in children with ASD, accompanied by preliminary data for neurophysiological correlates of EF on a child-friendly Go/No-go task. We focus our preliminary investigation on ERPs associated with stimulus processing (N2, P3) and error monitoring [error/correct-related negativity (ERN, CRN), error positivity (Pe)] in 5-year-old kindergarteners with ASD and typical controls matched on age, gender and task accuracy. Children with ASD showed significantly greater amplitudes of ERN/CRN compared to matched controls, suggesting heightened response monitoring. The ASD group also showed less distinct inhibitory P3 compared to the TD group, potentially suggesting atypical stimulus processing. In children with ASD, higher autism symptom severity was correlated with larger P3. Better behavioral performance on an EF-related task was correlated with smaller CRN. Our study is the first investigation to demonstrate the presence of N2, P3, ERN/CRN and Pe in kindergartners with ASD. The potential links between ERP patterns and behavioral and clinical features in more-able children with ASD highlight the need for further exploration into the functional mechanisms of these atypical neural activities and for more focused behavioral interventions targeting cognitive control and response monitoring.