Preparing to "Live a Life of Possibilities": Experiences of Healthcare Providers Readying Autistic Adolescents and Their Families for Independent Driving.

Autistic adolescents and their families may experience barriers to transportation, including independent driving, which is critical to supporting quality of life and engagement in social, educational, and employment opportunities. Healthcare providers may feel unprepared to provide guidance to autistic adolescents, although they are among the professionals families turn to for guidance. This study describes providers' experiences supporting autistic adolescents and families in the decision to pursue licensure and identifies barriers experienced in providing support. We conducted interviews with 15 healthcare providers focused on how they support autistic adolescents and their families in navigating topics related to independence, driving, and transportation. Key themes identified included: importance of understanding adolescents' perspectives and motivations, approaches to readying caregivers for children to pursue driving, and role of providers in fostering agreement between adolescents and caregivers. Results reflect healthcare providers as intermediaries between autistic adolescents and caregivers making the decision to pursue licensure and bring families to consensus. Our findings emphasize the importance of healthcare providers, in collaboration with community-based providers, in supporting autistic adolescents and their families considering licensure. Improving conversations between providers and families provides opportunity to better support quality of life among autistic adolescents and their caregivers navigating the transition to independence.

Driver's Licensure and Driving Outcomes Among Youths With Mood Disorders.

Importance: Mood disorders are prevalent among adolescents and young adults, and their onset often coincides with driving eligibility. The understanding of how mood disorders are associated with youth driving outcomes is limited. Objective: To examine the association between the presence of a mood disorder and rates of licensing, crashes, violations, and suspensions among adolescents and young adults. Design, Setting, and Participants: This cohort study was conducted among New Jersey residents who were born 1987 to 2000, age eligible to acquire a driver's license from 2004 to 2017, and patients of the Children's Hospital of Philadelphia network within 2 years of licensure eligibility at age 17 years. The presence of a current (ie, ≤2 years of driving eligibility) mood disorder was identified using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) or International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes. Rates of licensure and driving outcomes among youths who were licensed were compared among 1879 youths with and 84 294 youths without a current mood disorder from 2004 to 2017. Data were analyzed from June 2022 to July 2023. Main Outcomes and Measures: Acquisition of a driver's license and first involvement as a driver in a police-reported crash and rates of other adverse driving outcomes were assessed. Survival analysis was used to estimate adjusted hazard ratios (aHRs) for licensing and driving outcomes. Adjusted rate ratios (aRRs) were estimated for driving outcomes 12 and 48 months after licensure. Results: Among 86 173 youths (median [IQR] age at the end of the study, 22.8 [19.7-26.5] years; 42 894 female [49.8%]), there were 1879 youths with and 84 294 youths without a mood disorder. A greater proportion of youths with mood disorders were female (1226 female [65.2%]) compared with those without mood disorders (41 668 female [49.4%]). At 48 months after licensure eligibility, 75.5% (95% CI, 73.3%-77.7%) and 83.8% (95% CI, 83.5%-84.1%) of youths with and without mood disorders, respectively, had acquired a license. Youths with mood disorders were 30% less likely to acquire a license than those without a mood disorder (aHR, 0.70 [95% CI, 0.66-0.74]). Licensed youths with mood disorders had higher overall crash rates than those without mood disorders over the first 48 months of driving (137.8 vs 104.8 crashes per 10 000 driver-months; aRR, 1.19 [95% CI, 1.08-1.31]); licensed youths with mood disorders also had higher rates of moving violations (aRR, 1.25 [95% CI, 1.13-1.38]) and license suspensions (aRR, 1.95 [95% CI, 1.53-2.49]). Conclusions and Relevance: This study found that youths with mood disorders were less likely to be licensed and had higher rates of adverse driving outcomes than youths without mood disorders. These findings suggest that opportunities may exist to enhance driving mobility in this population and elucidate the mechanisms by which mood disorders are associated with crash risk.

Caregivers' Perspectives on Use of and Need for Driving Resources for Their Autistic Adolescent.

Introduction: Autistic individuals who independently travel-or commute without companionship or supervision-report feeling more connected to social, education, and employment opportunities. Despite the potential for independent transportation to improve quality of life, little is known about what transportation-related resources, specifically driving focused ones, exist for autistic individuals or how they and their families find and use them. The objectives of this study were to characterize: (1) where and how families in the United States find driving-related resources for their autistic adolescents; (2) families' perceived availability and utility of identified resources; and (3) resources families believe should be developed. Methods: We conducted semi-structured interviews with 33 caregivers of autistic adolescents aged 16-24 years without an intellectual disability. We used a directed-content approach to develop and implement codes; three trained coders analyzed all transcripts (inter-rater reliability ≥0.8 for all codes). Members of the research team reviewed coded data and created code summaries, which were then developed and discussed by the larger research team to determine final consensus. Results: Caregivers described a few existing resources that were helpful in guiding driving-related decisions. In addition, caregivers voiced that there were limited resources tailored to the unique needs that arise while teaching or learning how to drive, particularly ones that support their own and their adolescent's mental health. The limited resources and services identified as helpful-specifically support groups/perspectives of other families and specialized driving instructors-are seemingly difficult to find, costly, and/or perceived as having geographic- and time-related barriers. Conclusion: There is a critical need and opportunity for stakeholders of the autism community to both expand access to existing and develop novel driving-related resources for families with autistic adolescents, with a particular focus of supporting caregiver and adolescent mental health.

Why is this an important issue?: Many autistic teens and young adults rely on caregivers, siblings, family, and friends to give them rides to the places they need to go. Research has found that resources and services created specifically for autistic people can help them decide whether driving is right for them, and if so, then learn how to drive. However, little is known about if, and if so how, families find or use these resources and services. What was the purpose of this study?: This study had three goals: (1) learn what driving resources and services autistic teens and young adults (and their families) use, (2) learn how they find these resources and services, and (3) learn what other things they think would help them make decisions about driving and learn how to drive. What did the researchers do?: The researchers asked 33 caregivers of autistic teens and young adults without an intellectual disability (ID) (teens and young adults were 16­24 years old) questions about their experiences finding and using driving resources and services. These conversations were recorded and later typed out word for word. What were the results of the study?: Caregivers said that they spend a lot of time looking for driving resources and services for their autistic teen or young adult. Many resources and services were not easy to use or helpful. Caregivers said that behind-the-wheel driving instructors with specific training teaching autistic individuals were the most helpful and/or wanted resource. However, caregivers also said that these instructors and their services were hard to find, cost a lot of money, and require families to spend a lot of time training with them to get results. In the future, caregivers said that making it easier to find and get driving resources and services (e.g., making them less expensive) was necessary. Caregivers also had strong interest in their family participating in support groups related to driving. What do these findings add to what was already known?: Previous research has shown that training, resources, and services designed specifically for autistic people help prepare autistic teens and young adults to drive. Before our study, it was unclear if, and if so how, families actually use these resources and services in the real world, or outside of academic research. Families in our study said that it is hard to find or get access to driving resources and services, especially those created specifically for autistic populations. This difficulty is one reason why families think it is stressful and hard for autistic teens and young adults to learn how to drive. What are the potential weaknesses in the study?: We only asked caregivers who lived in the Northeast part of the United States questions, so our findings may not be true for all families. Also, this study only asked questions to caregivers of autistic teens and young adults who did not have an ID. How will these findings help autistic adults now or in the future?: Our findings can help autistic teens and young adults by showing what resources and services families use and want to use while they are learning how to drive or making decisions about if driving is right for them.

Measuring flexibility in autistic adults: Exploring the factor structure of the flexibility scale self report.

Cognitive flexibility differences are common for autistic individuals and have an impact on a range of clinical outcomes. However, there is currently a lack of well validated measurement tools to assess flexibility in adulthood. The Flexibility Scale was originally designed as a parent-report measure of real-world flexibility challenges in youth. The original Flexibility Scale provides a total score and five subscales: Routines and Rituals, Transitions and Change, Special Interests, Social Flexibility, and Generativity. In this study, we evaluate the factorial validity of the Flexibility Scale as a self-report (Flexibility Scale Self Report) measure of cognitive flexibility, adapted from the original Flexibility Scale, for use by autistic adults. This study includes both a primary sample (n = 813; mean age = 40.3; 59% female) and an independently recruited replication sample (n = 120; mean age = 32.8; 74% female) of individuals who completed the Flexibility Scale Self Report. The analysis consisted of an initial confirmatory factor analysis (CFA) of the original Flexibility Scale structure, followed by exploratory factor analysis (EFA) and factor optimization within a structural equation modeling framework to identify the optimal structure for the questionnaire in adults. The identified structure was then replicated through CFA in the replication sample. Our results indicate an alternative optimal scale structure from the original Flexibility Scale, which includes fewer items, and only three (Routines/Rituals, Transitions and Change, Special Interests) of the five subscales contributing to the flexibility total score. Comparisons revealed no structural differences within the scale based on sex assigned at birth. Here the Generativity and Social Flexibility scales are treated as independent but related scales. The implications for measurement of cognitive flexibility in clinical and research settings, as well as theoretical underpinnings are discussed.

Lower Completion of Depression Screening and Higher Positivity Among Autistic Adolescents Across a Large Pediatric Primary Care Network.

OBJECTIVE: To examine rates of depression screening and positivity among autistic adolescents where electronic depression screening is administered universally; to compare rates between autistic and nonautistic youth; and to explore sociodemographic and clinical factors associated with screening completion and results. METHODS: We conducted a retrospective cohort study comparing 12-17-year-old autistic and nonautistic adolescents presenting for well-child care in a large pediatric primary care network between November 2017 and January 2019 (N = 60,181). Sociodemographic and clinical data, including PHQ-9-M completion status and results, were extracted digitally from the electronic health record and compared between autistic and nonautistic youth. Logistic regression explored the relationship between sociodemographic and clinical factors and screen completion and results, stratified by autism diagnosis. RESULTS: Autistic adolescents were significantly less likely to have a completed depression screen compared to nonautistic adolescents [67.0% vs 78.9%, odds ratio (OR) = 0.54, P < .01]. Among those with a completed screen, a higher percentage of autistic youths screened positive for depression (39.1% vs 22.8%; OR = 2.18, P < .01,) and suicidal ideation/behavior (13.4% vs 6.8%; OR = 2.13, P < .01). Factors associated with screening completion and positivity differed between autistic and nonautistic groups. CONCLUSIONS: Autistic adolescents were less likely to have a completed depression screen when presenting for well-child care. However, when screened, they were more likely to endorse depression and suicide risk. This suggests disparities in depression screening and risk among autistic youth compared to nonautistic youth. Additional research should evaluate the source of these disparities, explore barriers to screening, and examine longitudinal outcomes of positive results among this population.

Brief Report: Healthcare Providers' Discussions Regarding Transportation and Driving with Autistic and Non-autistic Patients.

OBJECTIVE: To characterize healthcare and behavioral service providers' transportation-related discussions with their autistic and non-autistic patients. METHOD: 78 providers completed a cross-sectional survey assessing their transportation discussions with patients. We used Mann-Whitney U tests and chi-square tests to compare differences in provider reports by patient diagnosis. RESULTS: Compared with one in two providers who reported they discuss transportation with non-autistic patients, only one in five have these conversations with their autistic patients. Few (8%) providers felt prepared to assess driving readiness in autistic patients, yet only a quarter refer patients elsewhere. CONCLUSION: There is a critical need to develop resources for use in medical settings to effectively support autistic adolescents' independence and mobility as they transition into adulthood.

Co-occurring ADHD symptoms in autistic adults are associated with less independence in daily living activities and lower subjective quality of life.

LAY ABSTRACT: Outcomes for autistic adults are generally poor, including activities of daily living and self-ratings of quality of life. Co-occurring psychiatric conditions contribute to these poor outcomes. Attention-deficit/hyperactivity disorder is one of the most common co-occurring conditions in autistic individuals. However, we know little about the association between attention-deficit/hyperactivity disorder symptoms and outcomes in autistic adults. A total of 724 autistic adults (18-83 years; 58% female) recruited from the Simons Foundation Powering Autism Research participant registry completed questionnaires on demographics, co-occurring psychiatric conditions, activities of daily living, and subjective quality of life. Autistic adults who rated themselves as having more attention-deficit/hyperactivity disorder symptoms also rated themselves as having less independence in activities of daily living and a lower quality of life. This is the first study to show these relationships in autistic adults. These findings highlight that additional research and better supports for co-occurring attention-deficit/hyperactivity disorder symptoms may be critical to improving independence and quality of life for autistic adults.

Real-World Crash Circumstances Among Newly Licensed Adolescent Drivers With and Without Attention-Deficit/Hyperactivity Disorder.

PURPOSE: Adolescents with attention-deficit/hyperactivity disorder (ADHD) have 30%-40% higher crash rates. However, we still do not understand which factors underlie heightened crash risk and if crash circumstances differ for drivers with ADHD. We compared prevalences of crash responsibility, driver actions, and crash types among adolescent and young adult drivers with and without ADHD who crashed within 48 months of licensure. METHODS: In this exploratory retrospective cohort study, we identified patients of Children's Hospital of Philadelphia's (CHOP) New Jersey (NJ) primary care locations who were born between 1987 and 2000, NJ residents, had their last CHOP visit ≥ age 12 years, and acquired a driver's license. We linked CHOP electronic health records to NJ's licensing and crash databases. ADHD diagnosis was based on International Classification of Diseases, Ninth Revision, Clinical Modification/International Classification of Diseases, Tenth Revision, Clinical Modification codes. Prevalence ratios were estimated using generalized estimating equation log-binomial regression. RESULTS: We identified 934 drivers with ADHD in 1,308 crashes and 5,158 drivers without ADHD in 6,676 crashes. Within 48 months postlicensure, drivers with ADHD were more likely to be at fault for their crash (prevalence ratio: 1.09 [1.05-1.14]) and noted as inattentive (1.15 [1.07-1.23]). With the exception that drivers with ADHD were less likely to crash while making a left/U-turn, we did not find substantial differences in crash types by diagnosis. Analyses also suggest females with ADHD may have a higher risk of colliding with a nonmotor vehicle and crashing due to unsafe speed than females without ADHD. DISCUSSION: The results suggest crash circumstances do not widely differ for drivers with and without ADHD but highlight several factors that may be particularly challenging for young drivers with ADHD.

Transition to Adulthood for Autistic Adolescents: Topics Discussed by Healthcare Providers With Autistic Patients and Families.

PURPOSE: We surveyed healthcare providers to determine the extent to which they discuss transition-to-adulthood topics with autistic patients without intellectual disabilities. METHODS: Seventy-four healthcare providers in the Philadelphia area reported on the patient age at which they begin transition conversations, topics covered, and provider comfort. We calculated the proportion of providers who endorsed each transition topic, overall and by clinical setting. RESULTS: Providers initiated transition-related conversations at a median age of 16 years (IQR: 14, 18), with over half reporting they were "somewhat" or "a little" comfortable with discussions. Nearly all providers discussed at least one healthcare, well-being, and mental health topic, while basic need-related discussions were limited. DISCUSSION: Results suggest providers may delay and feel poorly prepared to provide anticipatory guidance to autistic patients for transition to adulthood. Future efforts to enhance the available resources and preparation available to providers are essential to meet autistic patients' needs.

Real-world executive functioning for autistic children in school and home settings.

LAY ABSTRACT: Executive functioning skills are important for children to be able to control thoughts, emotions, and actions, and for their ability to adapt to different settings. Previous studies have found that autistic children have difficulty with executive functioning, but most of these studies took place in the home setting. Executive functioning skills in autistic children have not yet been fully examined in the school setting. This is a knowledge gap that needs to be addressed because the school setting is potentially one of the most demanding in terms of executive functioning and is a setting where executive function interventions are already being used for autistic children. In order to learn more about executive functioning for autistic children in the school setting, this study compared ratings of executive function from autistic children's caregivers and school professionals. The study found that autistic children experience similar but not identical executive function challenges across school and home settings and that supports may differ in each setting. Having information about differences in executive functioning challenges and supports for autistic children across settings can help lead to development of supports that are tailored to each setting.

Impact of COVID-19 on Youth With ADHD: Predictors and Moderators of Response to Pandemic Restrictions on Daily Life.

We examined COVID-19 symptoms and infection rates, disruptions to functioning, and moderators of pandemic response for 620 youth with ADHD and 614 individually matched controls (70% male; Mage = 12.4) participating in the Adolescent Brain and Cognitive Development study. There were no group differences in COVID-19 infection rate; however, youth with ADHD were more likely to exhibit COVID-19 symptoms (d = 0.25), greater sleep problems (d = -0.52), fear and negative emotions to infection risk (d = -0.56), trouble with remote learning (d = -0.54), rule-breaking behavior related to COVID-19 restrictions (d = -0.23), family conflict (d = -0.13), and were less prepared for the next school year (d = 0.38). Youth with ADHD were less responsive to protective environmental variables (e.g., parental monitoring, school engagement) during the pandemic and may need more specialized support with return to in-person schooling and daily activities.

Dissociating regional gray matter density and gray matter volume in autism spectrum condition.

BACKGROUND: Despite decades of research, there is continued uncertainty regarding whether autism is associated with a specific profile of gray matter (GM) structure. This inconsistency may stem from the widespread use of voxel-based morphometry (VBM) methods that combine indices of GM density and GM volume. If GM density or volume, but not both, prove different in autism, the traditional VBM approach of combining the two indices may obscure the difference. The present study measures GM density and volume separately to examine whether autism is associated with alterations in GM volume, density, or both. METHODS: Differences in MRI-based GM density and volume were examined in 6-25 year-olds with a diagnosis of autism spectrum disorder (n = 213, 80.8% male, IQ 47-154) and a typically developing (TD) sample (n = 190, 71.6% male, IQ 67-155). High-resolution T1-weighted anatomical images were collected on a single MRI scanner. Regional density and volume were estimated via whole-brain parcellation comprised of 1625 parcels. Parcel-wise analyses were conducted using generalized additive models while controlling the false discovery rate (FDR, q < 0.05). Volume differences in the 68-region Desikan-Killiany atlas derived from Freesurfer were also examined, to establish the generalizability of findings across methods. RESULTS: No density differences were observed between the autistic and TD groups, either in individual parcels or whole brain mean density. Increased volume was observed in autism compared to the TD group when controlling for Age, Sex, and IQ, both at the level of the whole brain (total volume) and in 45 parcels (2.8% of total parcels). Parcels with greater volume included inferior, middle, and superior temporal gyrus, inferior and superior frontal gyrus, precuneus, and fusiform gyrus. Converging evidence from a standard Freesurfer pipeline also identified greater volume in a number of overlapping regions. LIMITATIONS: The method for determining "density" is not a direct measure of neuronal density, and this study cannot reveal underlying cellular differences. While this study represents possibly the largest single-site sample of its kind, it is underpowered to detect very small differences. CONCLUSIONS: These results provide compelling evidence that autism is associated with regional GM volumetric differences, which are more prominent than density differences. This underscores the importance of examining volume and density separately, and suggests that direct measures of volume (e.g. region-of-interest or tensor-based morphometry approaches) may be more sensitive to autism-relevant differences in neuroanatomy than concentration/density-based approaches.

Behind the Wheel: Specialized Driving Instructors' Experiences and Strategies for Teaching Autistic Adolescents to Drive.

IMPORTANCE: In the transition to adulthood, driving supports independence. For autistic adolescents, training provided by specialized driving instructors, including occupational therapists, may establish fitness to drive and continued independence. OBJECTIVE: To examine specialized driving instructors' experiences providing behind-the-wheel instruction to autistic adolescents. DESIGN: We recruited participants through purposive and snowball sampling of members of ADED, the Association for Driver Rehabilitation Specialists. Interviews investigated experiences providing instruction, autistic students' strengths and challenges, strategies used, and recommendations to improve the learning-to-drive process. We coded transcripts using a directed content analysis approach. SETTING: Telephone interviews. PARTICIPANTS: Specialized driving instructors (N = 17) trained as occupational therapists, driver rehabilitation specialists, or licensed driving instructors with recent experience providing behind-the-wheel training for autistic adolescents participated. RESULTS: Behind-the-wheel challenges included mental inflexibility, distractibility, and difficulties with social cues and motor coordination. Instructors acknowledged students' strengths, including adherence to rules of the road, limited risk taking, and careful observations. Instructors scaffolded learning to help students develop skills. Although licensure and driving outcomes were sometimes unknown to instructors, students who became licensed frequently drove with supervision or restrictions. CONCLUSIONS AND RELEVANCE: Licensure is possible for autistic adolescents, although developing fitness to drive requires individualization and rigorous specialized instruction, which may culminate in delayed or restricted driving. What This Article Adds: This article highlights challenges and strengths encountered by specialized driving instructors teaching autistic adolescents. Despite requiring prolonged training, autistic adolescents can achieve licensure when supported by specialized instruction that is individualized to their needs and strengths.

Comparison of Motor Vehicle Crashes, Traffic Violations, and License Suspensions Between Autistic and Non-Autistic Adolescent and Young Adult Drivers.

OBJECTIVE: One-third of autistic individuals obtain a driver's license by age 21 years; however, prior studies suggest they may be at heightened risk for motor vehicle crashes. We compared objective rates of crashes, traffic violations, and license suspensions for newly licensed autistic and non-autistic adolescents. METHOD: This retrospective cohort study included New Jersey residents born from 1987 through 2000 who were patients of the Children's Hospital of Philadelphia health care network. Electronic health records were linked with statewide driver licensing and crash databases. Autism status was classified via International Classification of Diseases (ICD) diagnostic codes; individuals with intellectual disability were excluded. We compared rates among 486 autistic and 70,990 non-autistic licensed drivers over their first 48 months of driving. Furthermore, we examined the proportion of crashes attributed to specific driver actions and crash types. RESULTS: Compared with non-autistic drivers, autistic drivers were estimated to have lower average monthly rates of crash involvement (adjusted rate ratio (adjRR) = 0.89, 95% CI = 0.75-1.05), moving violations (adjRR = 0.56, 95% CI = 0.48-0.67), and suspensions (adjRR = 0.32, 95% CI = 0.18-0.58). Among drivers involved in a crash, autistic drivers were half as likely to crash because of unsafe speed, but substantially more likely to crash because of their failure to yield to a vehicle/pedestrian and while making left-turns or U-turns. CONCLUSION: Newly licensed autistic adolescent drivers have similar to lower estimated rates of adverse driving outcomes; the extent to which these can be attributed to different driving patterns is a critical point for future investigation. There were several notable differences in the characteristics of these crashes, which directly inform interventions to improve driving safety of autistic adolescent drivers.

A Systematic Review of the Positive Valence System in Autism Spectrum Disorder.

This review synthesized current literature of behavioral and cognitive studies targeting reward processing in autism spectrum disorder (ASD). The National Institute of Mental Health's Research Domain Criteria (RDoC) Positive Valence System (PVS) domain was used as an overarching framework. The objectives were to determine which component operations of reward processing may be atypical in ASD and consequently postulate a heuristic model of reward processing in ASD that could be evaluated with future research. 34 studies were identified from the Embase, PubMed, PsycINFO, and Web of Science databases and included in the review using guidelines from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (also known as PRISMA guidelines). The extant literature suggested potential relationships between social symptoms of ASD and PVS sub-constructs of reward anticipation, probabilistic and reinforcement learning, reward prediction error, reward (probability), delay, and effort as well as between restricted and repetitive behaviors and interests (RRBIs) and PVS-sub constructs of initial response to reward, reward anticipation, reward (probability), delay, and effort. However, these findings are limited by a sparse and mixed literature for some sub-constructs. We put forward a developmentally informed heuristic model that posits how these component reward processes may be implicated in early ASD behaviors as well as later emerging and more intransigent symptoms. Future research is needed to comprehensively evaluate the proposed model.

DAS-II Cognitive Profiles Are Not Diagnostically Meaningful For Autism: A ROC Analysis.

Intelligence assessment is an integral part of a comprehensive autism evaluation. Many past studies have described a cognitive profile of autistic individuals characterized by higher nonverbal than verbal IQ scores. The diagnostic utility of this profile, however, remains unknown. We leveraged receiver operating characteristic methods to determine the sensitivity, specificity, and area under the curve (AUC) of three different IQ profiles in a large sample of children who have an autism spectrum disorder diagnosis (N = 1,228, Simons Simplex Collection) who completed the Differential Ability Scales-Second Edition (DAS-II), School Age compared to the normative sample provided by the DAS-II publisher (N = 2,200). The frequently discussed nonverbal > verbal IQ profile performed near chance at distinguishing ASD from normative individuals (AUC: 0.54, 95% CI [0.52-0.56]), and performed significantly worse for females than males (AUC: females: 0.46 [0.41-0.52]; males: 0.55 [0.53-0.58]). All cognitive profiles showed AUC < 0.56. We conclude that while significant differences between verbal and nonverbal IQ scores exist at the group level, these differences are small in an absolute sense and not meaningful at an individual level. We do not recommend using cognitive profiles to aid in autism diagnostic decision-making. LAY SUMMARY: Some researchers and clinicians have reported an "autistic cognitive profile" of higher nonverbal intelligence than verbal intelligence. In an analysis of over 1,000 autistic children, we found that the group's average nonverbal intelligence is usually higher than their verbal intelligence. However, this pattern should not be used by clinicians to make an individual diagnosis of autism because our results show it is not helpful nor accurate.

Editorial: Taking the Next Step Towards Validating Social Processes From the Research Domain Criteria.

Navigating social interactions and relationships is a complex endeavor. The successful management of these activities calls upon a variety of underlying biological and behavioral mechanisms that are contextualized by environmental demands. Social challenges can arise for many different reasons, but autism spectrum disorder (ASD) is the prototypical disorder of social behavior. That being stated, clinically significant interference with social functioning is shared across a variety of neurodevelopmental and psychiatric conditions. Recognition of the cross-cutting nature of social impairments and deficits in other domains (eg, Cognitive Systemds and Sensorimotor Systems) led to the formation of the Research Domain Criteria (RDoC) initiative from the National Institute of Mental Health (NIMH).1 RDoC was proposed as an alternative framework to studying psychiatric conditions. RDoC emphasizes enhancing knowledge on the nature of psychiatric conditions in terms of varying degrees of dysfunction across general biological and psychological systems irrespective of traditional psychiatric diagnoses. The RDoC domains were created through consensus agreement from content-area expert scientists. One such domain, Systems for Social Processes, inclues the following proposed constituent constructs: (1) Attachment and Affiliation; (2) Social Communication (subdivided into Production of Facial Communication and Production of Non-Facial Communication); and (3) Perception and Understanding of Mental States. However, this domain has yet to be formally validated.

Evidence against the "normalization" prediction of the early brain overgrowth hypothesis of autism.

BACKGROUND: The frequently cited Early Overgrowth Hypothesis of autism spectrum disorder (ASD) postulates that there is overgrowth of the brain in the first 2 years of life, which is followed by a period of arrested growth leading to normalized brain volume in late childhood and beyond. While there is consistent evidence for early brain overgrowth, there is mixed evidence for normalization of brain volume by middle childhood. The outcome of this debate is important to understanding the etiology and neurodevelopmental trajectories of ASD. METHODS: Brain volume was examined in two very large single-site samples of children, adolescents, and adults. The primary sample comprised 456 6-25-year-olds (ASD n = 240, typically developing controls (TDC) n = 216), including a large number of females (n = 102) and spanning a wide IQ range (47-158). The replication sample included 175 males. High-resolution T1-weighted anatomical MRI images were examined for group differences in total brain, cerebellar, ventricular, gray, and white matter volumes. RESULTS: The ASD group had significantly larger total brain, cerebellar, gray matter, white matter, and lateral ventricular volumes in both samples, indicating that brain volume remains enlarged through young adulthood, rather than normalizing. There were no significant age or sex interactions with diagnosis in these measures. However, a significant diagnosis-by-IQ interaction was detected in the larger sample, such that increased brain volume was related to higher IQ in the TDCs, but not in the ASD group. Regions-of-significance analysis indicated that total brain volume was larger in ASD than TDC for individuals with IQ less than 115, providing a potential explanation for prior inconsistent brain size results. No relationships were found between brain volume and measures of autism symptom severity within the ASD group. LIMITATIONS: Our cross-sectional sample may not reflect individual changes over time in brain volume and cannot quantify potential changes in volume prior to age 6. CONCLUSIONS: These findings challenge the "normalization" prediction of the brain overgrowth hypothesis by demonstrating that brain enlargement persists across childhood into early adulthood. The findings raise questions about the clinical implications of brain enlargement, since we find that it neither confers cognitive benefits nor predicts increased symptom severity in ASD.

Brief Report: Performance-Based Executive Functioning Abilities are Associated with Caregiver Report of Adaptive Functioning in Autism Spectrum Disorder.

Executive functioning is thought to contribute to adaptive behavior skills development in individuals with autism spectrum disorder (ASD). However, supporting data are largely based on caregiver reports of executive functioning. The current study evaluated whether performance-based measures of executive functioning (working memory and inhibition) explained unique variance in parent-reported adaptive functioning among youth with ASD without an intellectual disability. Both spatial and verbal working memory were associated with adaptive functioning, particularly communication and daily living skills. Our findings demonstrate a robust relationship between working memory and adaptive functioning that translates across different measurement modalities. This preliminary study highlights that targeting executive functioning may be a critical component of an adaptive function training program.

Does the Factor Structure of IQ Differ Between the Differential Ability Scales (DAS-II) Normative Sample and Autistic Children?

The Differential Abilities Scales, 2nd edition (DAS-II) is frequently used to assess intelligence in autism spectrum disorder (ASD). However, it remains unknown whether the DAS-II measurement model (e.g., factor structure, loadings), which was developed on a normative sample, holds for the autistic population or requires alternative score interpretations. We obtained DAS-II data from 1,316 autistic individuals in the Simons Simplex Consortium and 2,400 individuals in the normative data set. We combined ASD and normative data sets for multigroup confirmatory factor analyses to assess different levels of measurement invariance, or how well the same measurement model fit both data sets: "weak" or metric, "strong" or scalar, and partial scalar if full scalar was not achieved. A weak invariance model showed excellent fit (Confirmatory Fit Index [CFI] > 0.995, Tucker Lewis Index [TLI] > 0.995, root mean square error of approximation [RMSEA] < 0.025), but a strong invariance model demonstrated a significant deterioration in fit during permutation testing (all p's<0.001), suggesting measurement bias, meaning systematic error when assessing autistic children. Fit improved significantly, and partial scalar invariance was achieved when either of the two spatial subtest (Recall of Designs or Pattern Construction) intercepts was permitted to vary between the ASD and normative groups, pinpointing these subtests as the source of bias. The DAS-II appears to measure verbal and nonverbal-but not spatial-intelligence in autistic children similarly as in normative sample children. These results may be driven by Pattern Construction, which shows higher scores than other subtests in the ASD sample. Clinicians assessing autistic children with the DAS-II should interpret verbal and nonverbal reasoning composite scores over the spatial score or General Composite Ability. Autism Res 2020, 13: 1184-1194. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The Differential Abilities Scales, 2nd edition (DAS-II) is a popular intelligence quotient (IQ) test for assessing children with autism. This article shows that the DAS-II spatial standardized scores should be interpreted with caution because they hold a different meaning for autistic children. Verbal and nonverbal reasoning scores appear valid and to hold the same meaning for those with and without autism spectrum disorder.