White matter connectivity and social functioning in survivors of pediatric brain tumor.

OBJECTIVE: Survivors of pediatric brain tumors (SPBT) are at risk for social deficits, fewer friendships, and poor peer relations. SPBT also experience reduced brain connectivity via microstructural disruptions to white matter from neurological insults. Research with other populations implicates white matter connectivity as a key contributor to poor social functioning. This case-controlled diffusion-weighted imaging study evaluated structural connectivity in SPBT and typically developing controls (TDC) and associations between metrics of connectivity and social functioning. METHODS: Diffusion weighted-imaging results from 19 SPBT and 19 TDC were analyzed using probabilistic white matter tractography. Survivors were at least 5 years post-diagnosis and 2 years off treatment. Graph theory statistics measured group differences across several connectivity metrics, including average strength, global efficiency, assortativity, clustering coefficient, modularity, and betweenness centrality. Analyses also evaluated the effects of neurological risk on connectivity among SPBT. Correlational analyses evaluated associations between connectivity and indices of social behavior. RESULTS: SPBT demonstrated reduced global connectivity compared to TDC. Several medical factors (e.g., chemotherapy, recurrence, multimodal therapy) were related to decreased connectivity across metrics of integration (e.g., average strength, global efficiency) in SPBT. Connectivity metrics were related to peer relationship quality and social challenges in the SPBT group and to social challenges in the total sample. CONCLUSIONS: Microstructural white matter connectivity is diminished in SPBT and related to neurological risk and peer relationship quality. Additional neuroimaging research is needed to evaluate associations between brain connectivity metrics and social functioning in SPBT.

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.

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.

Reduced language connectivity in pediatric epilepsy.

OBJECTIVE: Functional connectivity (FC) among language regions is decreased in adults with epilepsy compared to controls, but less is known about FC in children with epilepsy. We sought to determine if language FC is reduced in pediatric epilepsy, and examined clinical factors that associate with language FC in this population. METHODS: We assessed FC during an age-adjusted language task in children with left-hemisphere focal epilepsy (n = 19) compared to controls (n = 19). Time series data were extracted for three left regions of interest (ROIS) and their right homologues: inferior frontal gyrus (IFG), middle frontal gyrus (MFG), and Wernicke's area (WA) using SPM8. Associations between FC and factors such as cognitive performance, language dominance, and epilepsy duration were assessed. RESULTS: Children with epilepsy showed decreased interhemispheric connectivity compared to controls, particularly between core left language regions (IFG, WA) and their right hemisphere homologues, as well as decreased intrahemispheric right frontal FC. Increased intrahemispheric FC between left IFG and left WA was a positive predictor of language skills overall, and naming ability in particular. FC of language areas was not affected by language dominance, as the effects remained only when examining participants with left language dominance. Overall FC did not differ according to duration of epilepsy or age of onset. SIGNIFICANCE: FC during a language task is reduced in children, similar to findings in adults. In specific, children with left focal epilepsy demonstrated decreased interhemispheric FC in temporal and frontal language connections and decreased intrahemispheric right frontal FC. These differences were present near the onset of epilepsy. Greater FC between left language centers is related to better language ability. Our results highlight that connectivity of language areas has a developmental pattern and is related to cognitive ability.

Multimodal imaging in autism: an early review of comprehensive neural circuit characterization.

There is accumulating evidence that the neurobiology of autism spectrum disorders (ASD) is linked to atypical neural communication and connectivity. This body of work emphasizes the need to characterize the function of multiple regions that comprise neural circuits rather than focusing on singular regions as contributing to deficits in ASD. Multimodal neuroimaging - the formal combination of multiple functional and structural measures of the brain - is extremely promising as an approach to understanding neural deficits in ASD. This review provides an overview of the multimodal imaging approach, and then provides a snapshot of how multimodal imaging has been applied in the study of ASD to date. This body of work is separated into two categories: one concerning whole brain connectomics and the other focused on characterizing neural circuits implicated as altered in ASD. We end this review by highlighting emerging themes from the existing body of literature, and new resources that will likely influence future multimodal imaging studies.

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.

Modulation of attentional blink with emotional faces in typical development and in autism spectrum disorders.

BACKGROUND: The attentional blink (AB) phenomenon was used to assess the effect of emotional information on early visual attention in typically developing (TD) children and children with autism spectrum disorders (ASD). The AB effect is the momentary perceptual unawareness that follows target identification in a rapid serial visual processing stream. It is abolished or reduced for emotional stimuli, indicating that emotional information has privileged access to early visual attention processes. METHODS: We examined the AB effect for faces with neutral and angry facial expressions in 8- to 14-year-old children with and without an ASD diagnosis. RESULTS: Children with ASD exhibited the same magnitude AB effect as TD children for both neutral and angry faces. CONCLUSIONS: Early visual attention to emotional facial expressions was preserved in children with ASD.

Interests in high-functioning autism are more intense, interfering, and idiosyncratic than those in neurotypical development.

Although circumscribed interests are pathognomonic with autism, much about these interests remains unknown. Using the Interests Scale (IS), this study compares interests between 76 neurotypical (NT) individuals and 109 individuals with high-functioning autism spectrum disorder (HF-ASD) matched groupwise on age, IQ, and gender ratio. Participants and their parents/caregivers completed diagnostic measures (the Autism Diagnostic Interview-Revised and the Autism Diagnostic Observation Schedule; HF-ASD only), cognitive tests (Wechsler IQ Scales), and questionnaires (the Repetitive Behavior Scale-Revised, the Behavior Rating Inventory of Executive Function, and the Social Responsiveness Scale), in addition to the IS. Consistent with previous research, HF-ASD and NT individuals did not differ in number of interest areas, but the types of interests and intensity of those interests differed considerably. Using only the IS intensity score, 81% of individuals were correctly classified (NT or HF-ASD) in a logistic regression analysis. Among individuals with HF-ASD, Interests Scale scores were significantly related to Autism Diagnostic Observation Schedule, Behavior Rating Inventory of Executive Function, Repetitive Behavior Scale-Revised, and Social Responsiveness Scale scores, but they were not related to Autism Diagnostic Interview-Revised scores, IQ, gender, age, or psychotropic medication use. The type and intensity, but not the number, of interests distinguish high-functioning individuals with ASD from NT individuals.

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.

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.

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.

Why won't you do what I want? The informative failures of children and models.

Computational models are powerful tools - too powerful, according to some. We argue that the idea that models can "do anything" is wrong, and describe how their failures have been informative. We present new work showing surprising diversity in the effects of feedback on children's task-switching, such that some children perseverate despite this feedback, other children switch as instructed, and yet others play an "opposites" game without truly switching to the newly-instructed task. We present simulations that demonstrate the failure of an otherwise-successful neural network model to capture this failure of children. Simulating this pattern motivates the inclusion of updating mechanisms that make contact with a growing literature on frontostriatal function, despite their absence in extant theories of the development of cognitive flexibility. We argue from this and other examples that computational models are more constrained than is typically acknowledged, and that their resulting failures can be theoretically illuminating.

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.

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.

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 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.

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.