Autism Spectrum Disorder Outcomes Research Articles

Objective measurement of movement variability using wearable sensors predicts ASD outcomes in infants at high likelihood for ASD and ADHD.

Early motor delays and differences are common among children with autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD). Yet, little work has shown whether there are early atypical motor signs that differentiate these groups. Quantitative measures of movement variability hold promise for improving the identification of subtle and specific differences in motor function among infants and toddlers at high likelihood for ASD and ADHD. To this end, we created a novel quantitative measure of movement variability (movement curvature) and conducted a preliminary investigation as to whether this measure improves outcome predictions. We used a wearable triaxial accelerometer to evaluate continuous motion-based activity in infants at high and low likelihood for ASD and ADHD at 12, 18, 24, and 36 months of age. At 36 months, participants were categorized into three outcome groups: ASD (n = 19), ADHD concerns (n = 17), and a comparison group (n = 82). We examined group differences in movement curvature and whether movement curvature is predictive of a later ASD or ADHD concerns classification. We found that movement curvature was significantly lower in infants with later ASD diagnosis at 18, 24, and 36 months of age compared to infants with either ADHD concerns or those in the comparison group. Movement curvature was also a significant predictor of ASD at 18, 24, and 36 months (AUC 0.66-0.71; p = 0.005-0.039) and when adjusting for high ASD likelihood at 18 and 24 months (AUC 0.90, p = 0.05-0.019). These results indicate that lower movement curvature may be a feature of early motor differences in infants with later ASD diagnosis as early as 18 months of age.

Exploring the Neurogenetic Landscape of Autism Spectrum Disorder: The Role of Brain-Derived Neurotrophic Factor (BDNF) Gene in the Complex Web of Neurodevelopment

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder with varied manifestations including altered metabolic profiles. Recent research highlights the potential role of Brain-Derived Neurotrophic Factor (BDNF), a hormone derived from adipose tissue, in the pathology of ASD. BDNF levels are reportedly correlated with the severity of autism symptoms, suggesting a link between metabolic dysfunction and the disorder. Objective: This study aims to deepen the understanding of BDNF levels in individuals with ASD and to explore the implications for diagnosis, treatment, and management of the disorder. It seeks to elucidate the relationship between low BDNF levels and increased autism severity, and to identify potential therapeutic interventions targeting BDNF dysregulation. Methods: EDTA blood samples (5ml each) from 140 participants (108 with ASD and 32 healthy controls) were collected across various hospitals in Karachi. Plasma serum levels of BDNF were analyzed following a six-month follow-up. A comprehensive statistical analysis was performed, focusing on the relationship between BDNF levels and autism severity, and evaluating diagnostic and therapeutic implications of BDNF dysregulation. Results: Analysis revealed that lower BDNF serum levels were consistently associated with higher autism severity. Specifically, 60-70% of participants with ASD scored below 8 on the Mini-Mental State Examination (MMSE), indicating significant cognitive impairment. The statistical significance of these findings was confirmed with p-values <0.05. Conclusion: The study confirms that low BDNF levels are significantly associated with greater severity of autism symptoms, underscoring the importance of metabolic factors in the pathogenesis of ASD. BDNF stands out as a potential biomarker for early ASD diagnosis and personalized treatment strategies. Future Prospects: Future research should aim to delineate the mechanistic relationship between BDNF dysregulation and ASD pathology. Longitudinal studies are needed to assess the long-term effects of BDNF modulation on ASD outcomes and to validate its effectiveness as both a diagnostic and prognostic marker.

Prebiotic diet normalizes aberrant immune and behavioral phenotypes in a mouse model of autism spectrum disorder.

Autism spectrum disorder (ASD) is a cluster of neurodevelopmental disorders characterized by deficits in communication and behavior. Increasing evidence suggests that the microbiota-gut-brain axis and the likely related immune imbalance may play a role in the development of this disorder. Gastrointestinal deficits and gut microbiota dysfunction have been linked to the development or severity of autistic behavior. Therefore, treatments that focus on specific diets may improve gastrointestinal function and aberrant behavior in individuals with ASD. In this study, we investigated whether a diet containing specific prebiotic fibers, namely, 3% galacto-oligosaccharide/fructo-oligosaccharide (GOS/FOS; 9:1), can mitigate the adverse effects of in utero exposure to valproic acid (VPA) in mice. Pregnant BALB/cByJ dams were injected with VPA (600 mg/kg, sc.) or phosphate-buffered saline (PBS) on gestational day 11 (G11). Male offspring were divided into four groups: (1) in utero PBS-exposed with a control diet, (2) in utero PBS-exposed with GOS/FOS diet, (3) in utero VPA-exposed with a control diet, and (4) in utero VPA-exposed with GOS/FOS diet. Dietary intervention started from birth and continued throughout the duration of the experiment. We showed that the prebiotic diet normalized VPA-induced alterations in male offspring, including restoration of key microbial taxa, intestinal permeability, peripheral immune homeostasis, reduction of neuroinflammation in the cerebellum, and impairments in social behavior and cognition in mice. Overall, our research provides valuable insights into the gut-brain axis involvement in ASD development. In addition, dietary interventions might correct the disbalance in gut microbiota and immune responses and, ultimately, might improve detrimental behavioral outcomes in ASD.

The Autism Spectrum Disorder and Its Possible Origins in Pregnancy.

Autism Spectrum Disorder (ASD) belongs to the group of neurodevelopmental disorders, and has a high prevalence, affecting 1 in 100 children according to data from the World Health Organization (WHO). To be diagnosed with ASD, the child must have persistent deficits in communication and social interactions, and restricted and repetitive patterns of behavior, interests, or activities. Despite its prevalence, the etiology of ASD is still uncertain, with multifactorial characteristics, including those associated with the gestational period, where maternal exposure to biological, chemical, or physical hazards occurs, some of which have already been proposed as causes of ASD outcomes. Since pregnancy requires a balance between the maternal-fetal binomial, the breakdown of this balance caused by such environmental hazards can lead to altered fetal neurodevelopment, including ASD. With this firmly in mind, this review aims to compile the most recent data on the gestational causes that may be associated with the development of ASD to help health professionals identify risk factors and act for the prevention and management of ASD.

Maternal Thyroid Dysfunction During Pregnancy as an Etiologic Factor in Autism Spectrum Disorder: Challenges and Opportunities for Research.

Background: Autism spectrum disorder (ASD) is a neurodevelopmental condition with unknown etiology. Both genetic and environmental factors have been associated with ASD. Environmental exposures during the prenatal period may play an important role in ASD development. This narrative review critically examines the evidence for a relationship between maternal thyroid dysfunction during pregnancy and ASD in the child. Summary: Studies that assessed the associations of hypothyroidism, hyperthyroidism, hypothyroxinemia, thyroid hormone concentrations, or autoimmune thyroid disease with ASD outcomes were included. Most research focused on the relationship between hypothyroidism and ASD. Multiple population-based studies found that maternal hypothyroidism was associated with higher likelihood of an ASD diagnosis in offspring. Associations with other forms of maternal thyroid dysfunction were less consistent. Findings may have been affected by misclassification bias, survival bias, or publication bias. Studies using medical records may have misclassified subclinical thyroid dysfunction as euthyroidism. Two studies that assessed children at early ages may have misclassified those with ASD as typically developing. Most studies adjusted for maternal body mass index (BMI) and/or mental illness, but not interpregnancy interval or pesticide exposure, all factors associated with fetal survival and ASD. Most studies reported a combination of null and statistically significant findings, although publication bias is still possible. Conclusions: Overall, evidence supported a positive association between maternal thyroid dysfunction during pregnancy and ASD outcomes in the child, especially for hypothyroidism. Future studies could reduce misclassification bias by using laboratory measures instead of medical records to ascertain thyroid dysfunction and evaluating children for ASD at an age when it can be reliably detected. Survival bias could be further mitigated by adjusting models for more factors associated with fetal survival and ASD. Additional research is needed to comprehensively understand the roles of maternal levothyroxine treatment, iodine deficiency, or exposure to thyroid-disrupting compounds in the relationship between maternal thyroid dysfunction and child ASD outcomes.

Prediction of Autism Spectrum Disorder: Comparison and Tuning of Machine Learning Models

The early diagnosis in Autism Spectrum Disorder (ASD) is crucial for timely interventions to address the patients attentional and social challenges. The currently study aims to use machine learning algorithms to accurately predict ASD outcomes. Dataset from a Kaggle competition was used to perform the prediction analysis. Five supervised machine learning algorithms were employed: Logistic Regression (LR), K-Nearest Neighbors (KNN), Support Vector Machine Classifier (SVC), Random Forest (RF), and Decision Trees (DT). The models were fine-tuned using a range of possible hyperparameters and evaluated using ROC AUC scores. The best-performing model, Random Forest, achieved a training ROC AUC of 0.93. The model's performance in predicting the unseen test set resulted in a ROC AUC score of 0.8623. The outcome demonstrates the potentials of machine learning models in early prediction of ASD symptoms, which provides support for autistic individuals to enhance their quality of life and education.

Associations between early trajectories of amygdala development and later school-age anxiety in two longitudinal samples

Amygdala function is implicated in the pathogenesis of autism spectrum disorder (ASD) and anxiety. We investigated associations between early trajectories of amygdala growth and anxiety and ASD outcomes at school age in two longitudinal studies: high- and low-familial likelihood for ASD, Infant Brain Imaging Study (IBIS, n = 257) and typically developing (TD) community sample, Early Brain Development Study (EBDS, n = 158). Infants underwent MRI scanning at up to 3 timepoints from neonate to 24 months. Anxiety was assessed at 6–12 years. Linear multilevel modeling tested whether amygdala volume growth was associated with anxiety symptoms at school age. In the IBIS sample, children with higher anxiety showed accelerated amygdala growth from 6 to 24 months. ASD diagnosis and ASD familial likelihood were not significant predictors. In the EBDS sample, amygdala growth from birth to 24 months was associated with anxiety. More anxious children had smaller amygdala volume and slower rates of amygdala growth. We explore reasons for the contrasting results between high-familial likelihood for ASD and TD samples, grounding results in the broader literature of variable associations between early amygdala volume and later anxiety. Results have the potential to identify mechanisms linking early amygdala growth to later anxiety in certain groups.

Neural correlates of face processing among preschoolers with fragile X syndrome, autism spectrum disorder, autism siblings, and typical development.

The current study examined patterns of event-related potential (ERP) responses during a face processing task in groups of preschoolers uniquely impacted by autism spectrum disorder (ASD), including (1) children with ASD; (2) children with fragile X syndrome (FXS); (3) children with familial risk for ASD, but without a diagnosis (i.e., ASIBs); and (4) a low-risk control (LRC) group. Children with FXS have a high incidence of ASD diagnoses, but there have been no studies of the ERP response to faces in children with FXS and little work focused on children with ASD who have cognitive impairment. The current study examined children's ERP responses to faces and houses in four groups: LRC (N = 28, age = 5.2 years), ASIB (N = 23, age = 5.5 years), FXS (N = 19, age = 5.82 years), and ASD (N = 23, age = 5.5 years). The FXS and ASD groups were characterized by the presence of cognitive impairment. Pictures of upright and inverted faces and houses were presented while recording EEG with a 128-channel system. The N170 occurred at about 200 ms post stimulus onset, was largest on the posterior-lateral electrodes, and was larger for faces than houses. The P1 and N170 ERP components were larger for the FXS group than for the other three groups. The N170 ERP amplitude for the ASD and ASIB groups was smaller than both the LRC and FXS groups, and the LRC and FXS groups had the largest N170 responses on the right side. No difference was found in N170 latency between groups. The similarity of the ASD and ASIB responses suggest a common genetic or environmental origin of the reduced response. Although children with FXS have a high incidence of ASD outcomes, they differed from ASD and ASIB children in this study. Specifically, the children with FXS were hyperresponsive to all stimulus types while the ASD and ASIB groups showed attenuated responses for specific stimuli.

Assessing Parental Perceptions of Meaningful Outcomes for Children with Autism Spectrum Disorder.

Outcomes of children diagnosed with autism spectrum disorder (ASD) generally focus on cognition, language, behavioral, and adaptive functioning, yet it is unknown whether this reflects patient and caregiver priorities. Identify parental perceptions of ASD outcomes and identify whether health care providers are currently addressing these concerns. Participant were 60 parents of school-aged children previously diagnosed with ASD participating in a larger autism outcomes study. Parents answered the open-ended question, "What aspect of your child's functioning matters most for your child at this time?" They also ranked a list of outcome categories (thinking and reasoning skills, daily living skills, etc). Parents answered a second open-ended question, "What should healthcare providers be asking about how your child is doing, that they may not be currently asking?" Open-ended independent coding and thematic analysis were used to identify themes for the open-ended questions. The most common themes identified with "what aspect of your child's functioning matters most" were "Social," "Communication," "Emotional," and "Behavior." These were similar to the results of a ranking question in which parents ranked "Communicating with and understanding others," "Social skills," and "Behavior" as most important. "Emotional" was a unique theme, although there is potential overlap between this and the theme of "Behavior." The most common theme identified with the question about what health care providers should be asking was "Social," followed by "Nothing." This study demonstrates that parental concerns largely match previous outcome categories, with the exception of a theme identified as "Emotional" which may overlap with "Behavior."

Association of Labor Epidural Analgesia, Oxytocin Exposure, and Risk of Autism Spectrum Disorders in Children

Maternal labor epidural analgesia (LEA) and oxytocin use for labor and delivery have been reported to be associated with child autism spectrum disorders (ASD). However, it remains unclear whether these 2 common medications used during labor and delivery have synergistic associations with ASD risk in children. To assess the independent associations of LEA and oxytocin during labor and delivery with ASD, as well as outcome modification associated with the concurrent use of both interventions. Data for this cohort study included 205 994 singleton births with vaginal deliveries in a single integrated health care system in Southern California from calendar years 2008 to 2017. Children were followed up to December 31, 2021. Data on use of LEA and oxytocin, covariates, and ASD outcome in children were obtained from electronic medical records. Cox proportional hazards regression was used to estimate the hazard ratios (HRs) adjusting for covariates. Labor epidural analgesia and/or oxytocin use during labor and delivery. A child's clinical diagnosis of ASD during follow-up and at age of diagnosis. Among the cohort, 153 880 children (74.7%) were exposed to maternal LEA and 117 808 children (57.2%) were exposed to oxytocin during labor and delivery. The population of children was approximately half boys and half girls. The median (IQR) age of the mothers was 30.8 (26.8-34.5) years for those not exposed to LEA, 30.0 (25.9-33.8) years for those exposed to LEA, 30.4 (26.5-34.1) years for those unexposed to oxytocin, and 30.0 (25.9-33.9) years for those exposed to oxytocin during labor and delivery. A total of 5146 children (2.5%) had ASD diagnosed during follow-up. Oxytocin exposure was higher among LEA-exposed (67.7%) than -unexposed (26.1%) children. The ASD risk associated with LEA was independent of oxytocin exposure (HR, 1.28; 95% CI, 1.18-1.38); however, the ASD risk associated with oxytocin was not significant after adjusting for LEA exposure (HR, 1.05; 95% CI, 0.99-1.12). A significant interaction of LEA and oxytocin on child ASD risk was found (P = .02 for interaction). Compared with no exposure, HRs were 1.20 (95% CI, 1.09-1.32) for LEA alone, 1.30 (95% CI, 1.20-1.42) for both LEA and oxytocin, and 0.90 (95% CI, 0.78-1.04) for oxytocin alone. The findings of this cohort study suggest an association between maternal LEA and ASD risk in children, and the risk appeared to be further increased if oxytocin was also administered. Oxytocin exposure without LEA exposure was not associated with ASD risk in children. These findings must be interpreted with caution. Further studies are needed to replicate or refute the study results and examine biological plausibility.

Diagnostic Accuracy of Primary Care Clinicians Across a Statewide System of Autism Evaluation.

To evaluate the diagnostic accuracy of the Early Autism Evaluation (EAE) Hub system, a statewide network that provides specialized training and collaborative support to community primary care providers in the diagnosis of young children at risk for autism spectrum disorder (ASD). EAE Hub clinicians referred children, aged 14 to 48 months, to this prospective diagnostic study for blinded follow-up expert evaluation including assessment of developmental level, adaptive behavior, and ASD symptom severity. The primary outcome was agreement on categorical ASD diagnosis between EAE Hub clinician (index diagnosis) and ASD expert (reference standard). Among 126 children (mean age: 2.6 years; 77% male; 14% Latinx; 66% non-Latinx white), 82% (n = 103) had consistent ASD outcomes between the index and reference evaluation. Sensitivity was 81.5%, specificity was 82.4%, positive predictive value was 92.6%, and negative predictive value was 62.2%. There was no difference in accuracy by EAE Hub clinician or site. Across measures of development, there were significant differences between true positive and false negative (FN) cases (all Ps < .001; Cohen's d = 1.1-1.4), with true positive cases evidencing greater impairment. Community-based primary care clinicians who receive specialty training can make accurate ASD diagnoses in most cases. Diagnostic disagreements were predominately FN cases in which EAE Hub clinicians had difficulty differentiating ASD and global developmental delay. FN cases were associated with a differential diagnostic and phenotypic profile. This research has significant implications for the development of future population health solutions that address ASD diagnostic delays.

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.

Preterm birth and small for gestational age potentiate the association between maternal hypertensive pregnancy and childhood autism spectrum disorder

Children of mothers with hypertensive disorders of pregnancy (HDP) have high rates of preterm-birth (gestational age < 37 weeks) and small-for-gestational-age (SGA), both of which are risk factors of autism spectrum disorder (ASD). This study tested the multiple-hit hypothesis that preterm-birth and SGA in the neonatal period might potentiate the antenatal impact of HDP to increase childhood ASD hazards, and HDP might not be a major contributor. The propensity-score-matched cohort enrolled 18,131 mother–child pairs with HDP and 90,655 normotensive controls between 2004 and 2011. Children with siblings born to the same mothers were excluded for analysis to reduce the potential familial-genetic influence. HDP were classified into chronic-hypertension, gestational-hypertension, preeclampsia, and preeclampsia-with-chronic-hypertension. Using the normotensive group as the reference, the associations between HDP subgroups and the cumulative ASD risks were assessed with hazard ratios, and the effects of preterm-birth and SGA on the associations were examined. The HDP group had a higher cumulative rate of ASD (1.5%) than the normotensive group (1.2%). Preterm-birth and SGA exerted moderating effects to aggravate ASD hazards in children exposed to chronic-hypertension or gestational-hypertension. None of HDP types significantly contributed to ASD after adjustments. In conclusion, antenatal HDP exposure might predispose to ASD outcome through susceptibility to the impact of preterm-birth and SGA.

Distinct childhood neurodevelopmental trajectories following very preterm birth

IntroductionVery preterm birth (VPT; &lt;32 weeks’ gestation) constitutes itself an environmental risk factor for a wide range of severe mental disorders. Particularly, 25% of VPT screen positively for autism spectrum disorder (ASD) and often present with co-occurring developmental difficulties, making it challenging to identify those likely to develop ASD traits. Therefore, neurodevelopmental trajectories associated with ASD outcomes need to be identified.ObjectivesHere, we investigated infant-to-childhood ASD traits trajectories, and their association with neurodevelopmental comorbidities, in a sample of VPT children screening positively and negatively on the Modified Checklist for Autism in Toddlers (M-CHAT).MethodsVPT individuals from the Evaluation of Preterm Imaging study (ePrime) underwent behavioural assessments at 2 (M-CHAT and Bayley Scales of Infant Development; N=451) and 4-7 years (Social Responsiveness Scale (SRS-2); N=251). To furtherly assess the presence of comorbid neurodevelopmental disorders at children aged 4-7 years, further assessments of cognitive (WPPSI), ADHD (ADHD-RS-IV scale), and emotional and behavioural problems (SDQ and ECBQ) were conducted.ResultsFindings of the ePRIME 4–7-year follow-up substudy will be presented. VPT children will be grouped using M-CHAT scores, as they reportedly show distinct neurodevelopmental characteristics. Preliminary results showed that ASD traits in infancy are associated with increased neurodevelopmental impairment.ConclusionsVPT infants may be an undescribed “at risk of ASD” or ASD cluster, with clinical features and comorbid neurodevelopmental disorders that differentiate them from other “at-risk” populations. Our findings support the need for routine ASD and ADHD assessments in VPT infants at preschool but also at school ages; and highlight the importance of interpreting ASD screenings in combination with other developmental measures when assessing VPT children. Our results could guide clinicians and researchers to offer personalised interventions aimed at supporting children’s development based on their distinct phenotypic presentations. Further research is needed to develop more accurate screening tools.Disclosure of InterestNone Declared

Predictors of autism spectrum disorder diagnosis in a spanish sample of preterm children with very low birthweight: A cross-sectional study.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a higher likelihood of being diagnosed in preterm populations. Likewise, low birthweight has also been connected with an increased likelihood of ASD. The objectives were to study the frequency and define the relationship between ASD, gestational age, birthweight, and growth percentiles for preterm children. A sample of preterm children with very low birthweight was selected from the Spanish population at 7-10 years old. Families were contacted from the hospital, and they were offered an appointment to conduct a neuropsychological assessment. The children who showed signs of ASD were referred to the diagnostic unit for differential diagnosis. A total of 57 children completed full assessments, with 4 confirmed ASD diagnoses. The estimated prevalence was 7.02%. There were statistically significant weak correlations between ASD and gestational age (τb = -0.23), and birthweight (τb = -0.25), suggesting there is a higher likelihood of developing ASD for those born smaller or earlier in their gestation. These results could improve ASD detection and outcomes for this vulnerable population while also supporting and enhancing previous findings.

Quasi-experimental Controlled Study on the Effect of Autism Resource Clinic Guardian Attendance at a Military Treatment Facility.

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition that requires multidisciplinary care. Evidence-based practice indicates that early intervention may improve long-term ASD outcomes. The Autism Resource Clinic (ARC) provides an educational session for guardians empowering them to build a personalized ASD team for their child. We examined the impact of guardian attendance of an ARC at a Military Treatment Facility on time to initiation of patient services and guardian stress level. A quasi-experimental controlled study was conducted comparing a group of guardians attending the ARC with a group of guardians not attending the ARC following a child's initial ASD diagnosis. ARC speakers included medical, county/state, community/military, and advocacy experts. Surveys were completed at diagnosis, 1, 2, and 3 mo postdiagnosis. Initiation of patient services and Parental Stress Scale scores were compared between groups using independent samples t-test, chi-square tests, or nonparametric tests, as appropriate. Use of Applied Behavioral Analysis was significantly higher among ARC attendees vs. nonattendees (73.3% vs. 33.3%, P = 0.028). County early intervention was more frequent among ARC attendees versus nonattendees (40% vs. 13.3%, P = 0.09). Of borderline significance, median time to initiation of genetics services was greater in ARC attendees vs. nonattendees (106 vs. 65.5, P = 0.10). The two groups did not differ on changes in Parental Stress Scale score from baseline to follow-up months 1, 2, or 3. Although ARC did not influence time to initiation of patient services or guardian stress level, attendance of ARC was associated with more frequent use of Applied Behavioral Analysis services and county early intervention services. This pilot study is unique as it targets guardians of ASD patients within military treatment facilities. Study limitations include data collection during the coronavirus disease 2019 pandemic, sequential evaluation of experimental and control groups, sample size and generalizability. A large, multicenter, randomized controlled trial is required to better assess the impact of this educational opportunity among military populations.

Age differences and brain maturation provide insight into heterogeneous results in autism spectrum disorder.

Studies comparing individuals with autism spectrum disorder (ASD) to typically developing (TD) individuals have yielded inconsistent results. These inconsistencies reflect, in part, atypical trajectories of development in children and young adults with ASD compared to TD peers. These different trajectories alter group differences between children with and without ASD as they age. This paper first summarizes the disparate trajectories evident in our studies and, upon further investigation, laboratories using the same recruiting source. These studies indicated that cognition improves into adulthood typically, and is associated with the maturation of striatal, frontal, and temporal lobes, but these age-related improvements did not emerge in the young adults with ASD. This pattern - of improvement into adulthood in the TD group but not in the group with ASD - occurred in both social and non-social tasks. However, the difference between TD and ASD trajectories was most robust on a social task, face recognition. While tempting to ascribe this uneven deficit to the social differences in ASD, it may also reflect the prolonged typical development of social cognitive tasks such as face recognition into adulthood. This paper then reviews the evidence on age-related and developmental changes from other studies on ASD. The broader literature also suggests that individuals with ASD do not exhibit the typical improvements during adolescence on skills important for navigating the transition to adulthood. These skills include execution function, social cognition and communication, and emotional recognition and self-awareness. Relatedly, neuroimaging studies indicate arrested or atypical brain maturation in striatal, frontal, and temporal regions during adolescence in ASD. This review not only highlights the importance of a developmental framework and explicit consideration of age and/or stage when studying ASD, but also the potential importance of adolescence on outcomes in ASD.

46 Patterns of referrals for evaluation of Autism Spectrum Disorder in the pediatric population of Saskatchewan as a predictor of diagnostic outcome

Abstract Background The Alvin Buckwold Child Development Program (ABCDP) serves Northern and Central Saskatchewan as a tertiary diagnostic centre for Autism Spectrum Disorder (ASD) but data is lacking on referrals and diagnostic outcome. Objectives This study aimed to assess if referral patterns are associated with diagnostic outcome of ASD. Design/Methods We conducted a retrospective cross-sectional study of patients from the ABCDP who were referred and assessed for ASD, or who received a diagnosis of ASD, from January 1st, 2016 to December 31st, 2018. Predictor variables were the referring clinician type and referral content. Suspicion for ASD from referrals were reported as being concerning for one, both or none of the DSM-5 core criteria for ASD (social communication and interaction “criteria A”; restricted and repetitive behaviors “criteria B”). When available, speech-language pathologist (SLP) reports were reviewed to identify concerns of social communication. The main outcome was a diagnosis or not of ASD. Risk ratio (RR) and odds ratio (OR) were estimated by simple logistic regression models to assess the association between individual variables of referral patterns and diagnosis of ASD. Results The final dataset included 527 patients after excluding 128 patients (123 were not seen at our center and 5 had a virtual assessment of ASD). A total of 365 patients received a diagnosis of ASD, 140 did not receive a diagnosis, 21 had their diagnosis deferred and one had this information missing. Referrals by physiotherapist (PT) were 46% more likely than other sources of referrals to lead to a diagnosis of ASD (RR=1,46; 95% CI 1,37-1,54; p=0,022). Referrals by SLP were 25% more likely than other sources of referrals to lead to a diagnosis of ASD (RR=1,25; 95% CI 1,12-1,39; p&amp;lt;0,0001). Referrals identifying concerns of social communication in SLP reports were 29% more likely than other sources of referrals to lead to a diagnosis of ASD (RR=1,29; 95% CI 1,16-1,43; p&amp;lt;0,0001). Using no criteria as reference group, referrals with concerns of criteria A were about 2.7 times more likely to lead to a diagnosis of ASD (OR=2,69; 95% CI 1,427-5,054; p=0,002). Conclusion In our study population, we found that certain referring clinician type (SLP, PT) and content of referrals (concerns for social communication in SLP reports, main concerns related to criteria A) are more likely to lead to a diagnosis of ASD. These findings could be used to identify referrals with a higher risk of ASD and allocate resources accordingly.

Hyperbaric Oxygen Therapy Alleviates Social Behavior Dysfunction and Neuroinflammation in a Mouse Model for Autism Spectrum Disorders.

Autism spectrum disorder (ASD) is a multifactorial neurodevelopmental disorder (NDD) characterized by impaired social communication and repetitive behavior, among other symptoms. ASD is highly heritable, with SHANK3 being one of the high-risk genes for ASD. In recent years, knowledge has been growing regarding the neuroplasticity effect induced by hyperbaric oxygen therapy (HBOT) and its potential use for ASD. Here, we characterized the effect of HBOT on a mouse model for ASD with the human genetic condition of InsG3680 mutation in the Shank3 gene. As compared to placebo, HBOT improved social behavior and reduced neuroinflammation in the cortex of the InsG3680(+/+) mice. Specifically, HBOT induced upregulation of Insulin-like growth factor 1 (Igf1) expression levels and reduced the number of Iba1-positive cells in the mouse model for ASD compared to placebo control. Together, our research suggests that HBOT has the potential to improve the clinical outcome of ASD by ameliorating some of the core pathophysiological processes responsible for the development of the disorder.

Sibling Influences on Trajectories of Maladaptive Behaviors in Autism.

Siblings play an important role in the behavioral trajectories of individuals with autism spectrum disorder (ASD). While having siblings has been associated with positive outcomes in ASD, including stronger adaptive functioning, social and non-verbal communication, and theory of mind, little is known about the impact of siblings on more negative outcomes, such as maladaptive behaviors. To address this gap, the present longitudinal study tested sibling predictors of trajectories of maladaptive behaviors (e.g., teacher- and parent-reported hyperactivity, irritability, and social withdrawal) from childhood through early adulthood among individuals with ASD and non-spectrum delays. Multilevel models revealed that, while the mere presence of a sibling did not impact maladaptive behavior trajectories apart from teacher-reported hyperactivity, the diagnostic profile of the sibling (e.g., emotional/behavioral disorder, ASD, medical condition) emerged as an important predictor. Specifically, although findings varied across teacher and parent reports, more hyperactivity and irritability across time was identified when the sibling had diagnoses of an emotional/behavioral disorder, ASD, and/or a medical condition. Overall, this study provides novel insight into the broader family-level factors that influence the presentation of maladaptive behaviors across time and across contexts.