Results from a Pilot Randomized Controlled Trial of a Single-Session Growth-Mindset Intervention for Internalizing Symptoms in Autistic Youth.

Autistic youth experience elevated rates of co-occurring internalizing symptoms. Interventions to treat internalizing symptoms in autistic youth are almost uniformly costly and time-intensive, blunting dissemination of intervention and highlighting the need for scalable solutions. One promising option is a relatively new class of evidence-based treatments, single-session interventions (SSIs), however, no study has examined SSIs for depression symptoms in autistic youth. Participants included 40 autistic adolescents ranging in age from 11 to 16 (Mage = 14.22, Nmale = 32). Eligible youth who agreed to participate were randomized to either the active intervention (Project Personality), or an active control designed to mimic supportive therapy. Participants and their caregiver completed questionnaires immediately before, after, and three months post intervention. All participants completed the intervention independently and largely reported enjoying it. The intervention was delivered with 100% fidelity. Findings demonstrated improvements in perceived primary control, malleability of personality, and social competence relative to the active control group immediately post-intervention. Further, results revealed improvements in self-reported depression symptoms and parent reported emotional regulation at 3-month follow up. This study was the first to assess a GM-SSI designed to treat depression symptoms in autistic adolescents. Results indicated improvements in perceived control immediately post-intervention and downstream improvements in depression. Nonetheless, we did not find improvements in symptoms of anxiety, suggesting that autistic adolescents may require modifications to the intervention to maximize benefit. Findings demonstrate the utility of GM-SSI for internalizing symptoms for autistic youth and hold considerable promise as a low-intensity and scalable intervention.

Leveling Up Dialectical Behavior Therapy for Autistic Individuals with Emotion Dysregulation: Clinical and Personal Insights.

Autistic people may experience high emotion and sensory sensitivities and a slow return to baseline emotional state. Dialectical behavior therapy (DBT) was developed to address reactivity, impulsivity, and mood dysregulation in individuals with mood and personality disorders. DBT may be therapeutically beneficial to autistic individuals struggling with these or similar emotional and sensory challenges. This article is a synthesis of the first author's experiences of DBT as an autistic person and professional insights from all authors. We provide an overview of the development of DBT, its foundational components, and adaptations. Using this basis, the first author describes the benefits DBT has had, the modifications that have helped him, and how those modifications may enhance DBT for autistic people. Modifications include visuals, graphics, and a gaming format that target the client's personal interests. The essence of these alterations is to transform life skills and DBT skills into something meaningful and functional. Receptivity of the therapist to the modifications and neurodivergent problem solving may be foundational to therapeutic success. Client-initiated contributions in collaborative therapy may improve autistic participants' understanding, validation, and adherence with DBT. The authors suggest expanding work on DBT modifications for autism in the areas of daily self-monitoring, assessing for preferred visual and gaming formats, and utilizing personal interests.

Why is this topic important?: Many autistic people struggle with their emotions. There are few therapies that assist autistic people with these challenges. Dialectical behavior therapy (DBT) is a therapy that teaches skills for coping with emotions and forming healthy bonds with others. DBT may provide benefits to autistic people. What is the purpose of this article?: This article uses personal insights with DBT from the first author. The article combines the professional expertise of all authors. We talk about the strengths DBT may have for autistic people. We recommend changes to make DBT a more helpful therapy. What personal or professional perspectives do the authors bring to this topic?: The first author is an autistic researcher in psychology. He has other mental health disabilities. He has been in DBT. The second author is an autistic person working in autism research and advocacy. The remaining authors are non-autistic. They do research and therapy with autistic people. What is already known about this topic?: DBT is used to help people manage their emotions and engage with others successfully. Many autistic people struggle with these skills. There is not a lot of research on how DBT can benefit autistic people. Early work has shown that it might be effective for autistic people. What do the authors recommend?: We outline several changes to DBT that might make it more helpful to autistic people. One change included is using images to help autistic people keep track of therapy skills. Another suggested change is making therapy into a game. More research is needed to test if these changes work in larger groups of autistic people. How will these recommendations help autistic adults now or in the future?: We hope therapists use these changes to DBT to better support autistic people. We hope that this encourages more research into how DBT can better help autistic people. Autistic people may also benefit from DBT skills in their own lives.

Theory of Mind and Social Informant Discrepancy in Autism.

When autistic youth are asked to assess their own social skills, they frequently rate themselves more favorably than their parents rate them. The magnitude of this informant discrepancy has been shown to relate to key clinical outcomes such as treatment response. It has been proposed that this discrepancy arises from difficulties with Theory of Mind. Participants were 167 youth 11 to 17 years old; 72% male, and their parents. Youth completed self-report measures of social skills and social cognitive tasks, while their parents completed questionnaires regarding social skills. A repeated-measures ANOVA indicated both non-autistic and autistic youth rated themselves more favorably than their parents rated them across all measures. Zero-order correlations revealed that raw differences between parent- and participant-report were negatively correlated with scores on parent-reported Theory of Mind measures. However, polynomial analysis did not indicate interaction effects between parent- and participant-report on any of the measures used. Polynomial regression revealed that increases in parent-reported social skill predicted larger increases in parent-report Theory of Mind at low levels of parent-reported social skill compared to high levels of parent-reported social skill. Participant-report social skills predicted performance on a behavioral Theory of Mind test in a curvilinear fashion, such that the relationship was positive at low levels of participant-reported social skills, but negative at high levels. This study replicates the finding that raw difference score analyses may result in illusory effects that are not supported when using more contemporary analysis methods, and that more complex and subtle relationships between social insight and perspective-taking exist within autistic youth.

Examining the Process and Impact of Social Problem Solving in Autistic Children.

Social problem solving (SPS) represents a social cognitive reasoning process that gives way to behavior when individuals are navigating challenging social situations. Autistic individuals have been shown to struggle with specific aspects of SPS, which, in turn, has been related to social difficulties in children. However, no previous work has measured how SPS components not only relate to one another but also discretely and conjointly predict autism-related symptoms and social difficulties in autistic children, specifically. Fifty-eight autistic children (44 male; 6-10 years old, Mage=8.67, SDage=1.31) completed a self-administered, computerized assessment of SPS. To elucidate how SPS components discretely, and combined, contribute to autism-related symptoms and social difficulties, commonality analyses were conducted for each measure assessing autism-related symptoms and social difficulties. Socially normative problem identification, goal preference, and solution preference were related to fewer parent-reported autism-related social difficulties. Measures related to autism symptomatology, social perspective taking, and emotion recognition were not significantly associated with discrete SPS components in this sample. The problem identification aspect of SPS contributed the most unique variance to parent-reported autism-related social difficulties, while shared variance across all SPS components accounted for substantial variance in both parent-reported autism-related social difficulties models. Results suggest that SPS components are interrelated, but distinct, constructs in the autistic population. These findings not only further clarify the impact of SPS components on autism-related symptoms and social difficulties, but also have implications for refining SPS-focused interventions in the autistic population.

Satisfaction with social connectedness is associated with depression and anxiety symptoms in neurodiverse first-semester college students.

LAY ABSTRACT: How satisfied people feel with their social connections and support is related to mental health outcomes for many different types of people. People may feel less socially connected at some times in their life-like when they start college. Feeling disconnected from others could lead to depression or anxiety. The transition to college may be especially difficult for autistic students as they are more likely to have difficulties adjusting socially. In our study, we asked 263 college students to answer questions about their emotions and social satisfaction twice per week during their first semester of college. We found that students who reported being less satisfied with their social connectedness (either at the beginning or throughout the semester) tended to express more symptoms of depression and anxiety. This relationship between social satisfaction and anxiety was even stronger for people who had a strong desire for social interaction (i.e. were more socially motivated). Students with more autistic traits tended to report more mood concerns, and they also reported being less satisfied with friendships at the beginning of the semester. This information may help to support ongoing efforts to better address mental health in autistic college students by encouraging efforts to improve social satisfaction.

Vocal Emotion Recognition in Autism: Behavioral Performance and Event-Related Potential (ERP) Response.

Autistic youth display difficulties in emotion recognition, yet little research has examined behavioral and neural indices of vocal emotion recognition (VER). The current study examines behavioral and event-related potential (N100, P200, Late Positive Potential [LPP]) indices of VER in autistic and non-autistic youth. Participants (N = 164) completed an emotion recognition task, the Diagnostic Analyses of Nonverbal Accuracy (DANVA-2) which included VER, during EEG recording. The LPP amplitude was larger in response to high intensity VER, and social cognition predicted VER errors. Verbal IQ, not autism, was related to VER errors. An interaction between VER intensity and social communication impairments revealed these impairments were related to larger LPP amplitudes during low intensity VER. Taken together, differences in VER may be due to higher order cognitive processes, not basic, early perception (N100, P200), and verbal cognitive abilities may underlie behavioral, yet occlude neural, differences in VER processing.

Repetitive Negative Thinking As a Transdiagnostic Prospective Predictor of Depression and Anxiety Symptoms in Neurodiverse First-Semester College Students.

Background: Improving the understanding and treatment of mental health concerns, including depression and anxiety, are significant priorities for autistic adults. While several theories have been proposed to explain the high prevalence of internalizing symptoms in autistic populations, little longitudinal research has been done to investigate potential causal mechanisms. Additional research is needed to explore how proposed contributors to depression from general population research predict and/or moderate the development of internalizing symptoms in autistic individuals. In this study, we investigated the relation of one established risk factor, repetitive negative thinking (RNT), to internalizing symptoms over the course of college students' first semester, additionally examining whether this association is moderated by a measure of autistic traits. Methods: Students were recruited from 4 northeastern U.S. universities: 144 participating students included 97 nonautistic students and 47 participants who either reported a formal autism diagnosis (n = 15) or endorsed a history of self and/or others thinking that they may be autistic (n = 32). Participants completed a baseline survey battery within their first 2 weeks of starting college, a brief biweekly survey throughout their first semester (up to 24 times across 12 weeks), and an endpoint packet. Results: Elevated trait-like RNT at baseline was prospectively associated with biweekly ratings of depression and anxiety symptoms across the semester. In addition, greater RNT was synchronously related to elevated sadness, anhedonia, and anxiety throughout the semester. Contrary to hypotheses, a shorter term predictive relationship between RNT at one timepoint and mood symptoms at the next was largely unsupported. While these patterns were observed across neurotypes, students with higher self-reported autistic traits were more likely to experience RNT, as well as depressive and anxiety symptoms. Conclusions: These preliminary findings highlight RNT as a specific mechanism that may be a useful prevention and/or intervention target toward reducing the elevated depression and anxiety rates in the autistic community.

Why was this study done?: Many autistic people have depression and anxiety. However, we know very little about why autistic people are more likely to have these mental health concerns than people who are not autistic. We also do not know what leads to these symptoms over time. One theory is that repetitive negative thinking (RNT; or thinking repeatedly about problems and worries) might cause depression and anxiety. Autistic people might do more RNT than nonautistic people. What was the purpose of this study?: In this study, we wanted to see how RNT might relate to depression and anxiety over the first semester of college. We looked at how this might be related to autistic traits. What did the researchers do?: The researchers gave surveys to 144 students about their experiences with depression, anxiety, and RNT. The participants answered these surveys at the beginning and end of their first semester at their university. They also completed a brief survey 24 times (twice per week for 12 weeks) during the semester. What were the results of the study?: We found that overall RNT levels at the beginning of the semester were related to sadness, anhedonia (lack of pleasure), and anxiety later. In-the-moment RNT reported on the twice-weekly survey was also related to sadness, anhedonia, and anxiety. However, RNT on biweekly surveys did not seem to predict mood symptoms a few days later. Students with higher levels of autistic traits tended to report more depression and anxiety, as well as more RNT. What do these findings add to what was already known?: This study helps us to understand that RNT might be related to depression and anxiety, regardless of whether or not someone is autistic. This might mean that reducing RNT could help prevent or treat depression and anxiety, especially in autistic adults. What are potential weaknesses in the study?: Our study had a low number of participants with formal autism diagnoses (15 people), so it might not represent the broader population of autistic adults with formal diagnoses as well as we would like. Nevertheless, we had a larger group with self-reported or suspected autism (32 people). How will these findings help autistic adults now or in the future?: These findings help us to better understand risk factors for depression and anxiety in autistic adults. Since RNT was related to depression and anxiety in the same way regardless of levels of autistic traits in our study, we hope that clinicians will feel more comfortable providing therapy to people with mood disorders, regardless of whether they are autistic and/or have high autistic traits. This could be a small step toward increasing equity and accessibility of mental health services for autistic adults.

Longitudinal Impact of the Pandemic on Social Disruption and Loneliness in Autistic and Non-Autistic Youth.

OBJECTIVE: The coronavirus pandemic drastically increased social isolation. Autistic youth already experience elevated social isolation and loneliness, making them highly vulnerable to the impact of the pandemic. We examined trajectories of social disruption and loneliness in autistic and non-autistic youth during a six-month period of the pandemic (June 2020 until November 2020). METHOD: Participants were 76 youth, ages 8 through 17, (Mage = 12.82, Nautistic = 51) with an IQ ≥ 70. Youth completed a biweekly measure of loneliness (Revised UCLA Loneliness Scale) and their parent completed a measure of pandemic-related family social disruption (Epidemic Pandemic Impacts Inventory). RESULTS: There were no time trends in loneliness across all youth, however, social disruption displayed linear, quadratic, and cubic trends. Non-autistic youth reported relatively greater declines in social disruption compared to autistic youth. Additionally, autistic youth reported relatively greater declines in loneliness relative to non-autistic youth. Greater social disruption was associated with higher loneliness, however, autistic youth demonstrated a relatively stronger relationship between social disruption and loneliness compared to non-autistic youth. CONCLUSIONS: The current study was one of the first to investigate social disruption and loneliness in autistic youth during the COVID-19 pandemic. Results indicated that autistic youth experienced relative decreases in loneliness during this time, perhaps due to reductions in social demands. Nonetheless, when autistic youth did experience social disruption, they reported relatively higher levels of loneliness. This work contributes to our understanding of risk factors for loneliness and highlights the need to understand the benefits, as well as the challenges, to remote schooling and social interactions.

Community-based care for autistic youth: community providers' reported use of treatment practices in the United States.

Introduction: To illustrate the landscape of community-based care for autistic youth in the United States, we identified transdisciplinary psychosocial intervention practice sets that community providers report utilizing to care for this population, and examined characteristics associated with provider-reported utilization. Methods: The Usual Care for Autism Study (UCAS) Survey assessed provider demographics and provider-reported use of transdisciplinary practices for common ASD co-occurring problems: social difficulties, externalizing behaviors, and anxiety. Community practitioners (N = 701) from allied health, behavioral, education, medical, mental health and other disciplines who treat or work with autistic youth (7-22 years) participated. Results: Exploratory factor analysis yielded four factors: Consequence-Based Strategies (CBS), Cognitive-Behavioral and Therapy Strategies (CBTS), Antecedent-Based Strategies (ABS), and Teaching Strategies (TS). Providers across disciplines reported utilizing ABS more often than other sets. Providers from behavioral disciplines, with less than 4-year or Master degrees, or with more experience reported the most use of ABS, CBS and CBTS. Medical and behavioral providers reported the most use of TS. Setting and child characteristics were associated with practice set use, indicating variability by disability and client socioeconomic status. Discussion: Findings reflect the complexity and inconsistency of the service landscape for autistic youth across the U.S. Only by understanding the service landscape and predictors of practice utilization, can researchers, policymakers, provider groups, and the autistic community facilitate effective implementation strategy development and use to ultimately improve community-based care.

Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism.

Current models on Explainable Artificial Intelligence (XAI) have shown a lack of reliability when evaluating feature-relevance for deep neural biomarker classifiers. The inclusion of reliable saliency-maps for obtaining trustworthy and interpretable neural activity is still insufficiently mature for practical applications. These limitations impede the development of clinical applications of Deep Learning. To address, these limitations we propose the RemOve-And-Retrain (ROAR) algorithm which supports the recovery of highly relevant features from any pre-trained deep neural network. In this study we evaluated the ROAR methodology and algorithm for the Face Emotion Recognition (FER) task, which is clinically applicable in the study of Autism Spectrum Disorder (ASD). We trained a Convolutional Neural Network (CNN) from electroencephalography (EEG) signals and assessed the relevance of FER-elicited EEG features from individuals diagnosed with and without ASD. Specifically, we compared the ROAR reliability from well-known relevance maps such as Layer-Wise Relevance Propagation, PatternNet, Pattern-Attribution, and Smooth-Grad Squared. This study is the first to bridge previous neuroscience and ASD research findings to feature-relevance calculation for EEG-based emotion recognition with CNN in typically-development (TD) and in ASD individuals.

Social Knowledge & Performance in Autism: A Critical Review & Recommendations.

Autistic social challenges have long been assumed to arise from a lack of social knowledge ("not knowing what to do"), which has undergirded theory and practice in assessment, treatment, and education. However, emerging evidence suggests these differences may be better accounted for by difficulties with social performance ("doing what they may know"). This distinction has important implications for research, practice, policy, and community support of autistic people. This review examines the theoretical and clinical implications and empirical status of the knowledge-performance distinction in autism. Current evidence suggests that social knowledge deficits are neither definitional nor reliably related to outcomes in autism. Prioritizing social knowledge, then, may produce unanticipated, problematic consequences in terms of accuracy of assessment, intervention effectiveness, and promotion of stigma. It may also yield unrealistic expectations around the value of knowledge for autistic people and their families, yielding important ethical considerations. Conversely, recent evidence highlights performance-related factors as being especially promising for better modeling and addressing social challenges in autism. Prioritizing performance, then, may offer new directions for assessment, substantially different intervention opportunities, and novel methods of inclusion and affirmation. This review touches upon each of these domains and implications, integrates these developments with broader models of social competence in youth, and provides direction for future research and practice regarding social competence in autism.

A framework for neurodiversity-affirming interventions for autistic individuals.

Despite being targets of intervention practice and research for over 60 years, autistic people have been left out of the conversation. Until recently, nearly no research or implementation work has sought the input of autistic people in regard to the design of interventions and, more importantly, how the goals for such interventions are prioritized and determined. This reframe has profound implications for autism-focused interventions and research, most of which have aimed to reduce or eliminate autism symptoms, with variable empirical support (Bottema-Beutel, 2023). These outcomes are practically and ethically incompatible with a neurodiversity perspective. Most prominently, applied behavior analysis (ABA), which was the first intervention approach widely applied to autistic people, has come under increasing scrutiny and criticism for failing to include autistic people in the design of intervention elements and consideration of goals; moreover, autistic people are increasingly identifying iatrogenic effects they have experienced when receiving ABA (Bottema-Beutel, 2023), with these concerns often being met with minimization rather than an endorsement of their validity and willingness to hear them out. Thus, there is a pressing need for a neurodiversity-affirming interventions (NAI) framework for autism. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Seeking contexts that promote neurodiverse social success: Patterns of behavior during minimally-structured interaction settings in autistic and non-autistic youth.

While peer interaction differences are considered a central feature of autism, little is known regarding the nature of these interactions via directly-observed measurement of naturalistic (i.e., minimally-structured) groups of autistic and non-autistic adolescent peers. 148 autistic and non-autistic adolescents (111 male, Mage = 14.22, SDage = 1.90; MIQ = 103.22, SDIQ = 15.80) participated in a 50-minute, minimally-structured, naturalistic peer interaction paradigm with activities of varying social demands: an incidental social demand (eating in a room with peers), a physical social demand (playing a physically-interactive game), and a verbal social demand (playing a verbal game). While autistic youth exhibited fewer overall interaction behaviors than non-autistic youth, the two groups did not differ in amount of positive, negative, and low-level interaction behaviors. Within activities, autistic and non-autistic youth only differed in positive interaction behaviors during the context of a verbal social demand. Youth who displayed more positive interaction behaviors during this same activity had less autism spectrum disorder symptomatology, controlling for nested group effects and relevant covariates. These results point toward subtle differences in social demands across naturalistic settings that can either support or impede prosocial interaction for autistic youth, providing a guidepost for identifying settings that best promote social success for neurodiverse populations.

Trajectories of internalizing symptoms among autistic and nonautistic youth during the COVID-19 pandemic.

The COVID-19 pandemic elicited increases in anxiety and depression in youth, and youth on the autism spectrum demonstrate elevations in such symptoms pre-pandemic. However, it is unclear whether autistic youth experienced similar increases in internalizing symptoms after the COVID-19 pandemic onset or whether decreases in these symptoms were present, as speculated in qualitative work. In the current study, longitudinal changes in anxiety and depression during the COVID-19 pandemic in autistic youth were assessed in comparison to nonautistic youth. A well-characterized sample of 51 autistic and 25 nonautistic youth (ageM = 12.8, range = 8.5-17.4 years, IQ > 70) and their parents completed the Revised Children's Anxiety and Depression Scale (RCADS), a measure of internalizing symptoms, repeatedly, representing up to 7 measurement occasions from June to December 2020 (N ~ 419 occasions). Multilevel models were used to evaluate changes in internalizing symptoms over time. Internalizing symptoms did not differ between autistic and nonautistic youth in the summer of 2020. As reported by youth themselves, internalizing symptoms decreased in autistic youth, both overall and compared to nonautstic peers. This effect was driven by decreases in generalized anxiety, social anxiety, and depression symptoms in autistic youth. Reductions in generalized anxiety, social anxiety, and depression in autistic youth may be due to COVID-19 pandemic-specific differences in response to social, environmental, and contextual changes that unfolded in 2020. This highlights the importance of understanding unique protective and resilience factors that may be evident in autistic individuals in response to broad societal shifts such as those seen in response to COVID-19.

The Therapy Process Observational Coding System: Group cohesion scale in youth anxiety treatment: Psychometric properties.

BACKGROUND: There are no well-established measures of group cohesion, defined as the collaborative bond between group members, in group cognitive behavioral therapy (GCBT) with youth. We therefore examined the Therapy Process Observational Coding System for Child Psychotherapy-Group Cohesion Scale (TPOCS-GC), which has previously only been used with adult samples, in a youth sample. METHODS: Observers coded 32 sessions from 16 groups with 83 youth aged 8 to 15 years (90.7% European White). Youth had anxiety disorders and received manualized GCBT in community clinics. We examined psychometric properties of the TPOCS-GC and its' construct validity in terms of relations with pretreatment variables, alliance and fidelity during treatment, and post-treatment variables. Group cohesion was measured twice during treatment (early and late). RESULTS: The TPOCS-GC was internally consistent (α = 0.72) and was reliably coded (M ICC = 0.61). Higher clinical severity at pretreatment predicted lower early group cohesion. Higher youth age, higher clinical severity at pretreatment, and higher youth-rated early alliance predicted lower late group cohesion. Higher therapist-rated early alliance predicted higher early group cohesion. Higher therapist-rated late alliance predicted higher late group cohesion. Higher late group cohesion predicted lower clinical severity and higher client treatment satisfaction at post-treatment. Early group cohesion did not predict any post-treatment variables. CONCLUSIONS: A four-item version of the TPOCS-GC can be reliably used in youth GCBT. The TPOCS-GC is distinct from, but associated with, multiple clinical variables.

Predictors of expert providers' familiarity with intervention practices for school- and transition-age youth with autism spectrum disorder.

LAY ABSTRACT: School-age children, adolescents, and young adults with autism spectrum disorder encounter many different types of providers in their pursuit of treatment for anxiety, behavior problems, and social difficulties. These providers may all be familiar with different types of intervention practices. However, research has not yet investigated patterns in expert providers' familiarity with different practices nor how these patterns are related to the characteristics of providers (years in practice, academic discipline, setting) and the youth (age and intellectual disability) they typically support. A panel of 53 expert transdisciplinary providers rated their familiarity with 55 intervention practices (derived from research and expert nominations) via an online Delphi poll. Advanced statistical methods were used to identify types of intervention practices with which providers were familiar, which included two approaches (cognitive and behavioral) and two strategies (engagement and accessibility). Providers who practiced outside a school setting or treated clients without intellectual disability were more familiar with cognitive approaches. Clinical psychologists, behavior analysts, and school-based providers were more familiar with behavioral approaches. Providers practicing outside school settings were also more familiar with engagement strategies, and providers with more years in practice were more familiar with accessibility strategies. These results may help families and researchers to better anticipate how services may vary depending on the types of autism spectrum disorder providers seen and work to reduce disparities in care that may result.

The Importance of Parent-Teacher Informant Discrepancy in Characterizing Autistic Youth: A Replication Latent Profile Analysis.

OBJECTIVE: Research about autism spectrum disorder (ASD) supports variation in symptom presentations across settings, and there is a growing literature that explicates how this variability may improve characterization of the autism phenotype. Capitalizing on a well-established literature on informant discrepancy as an index of contextual variability, research suggests that differing parent and teacher perceptions may impact treatment or education-related outcomes. A prior investigation by Lerner and colleagues suggests that parent-teacher discrepancies in ASD symptom ratings define discrete and clinically meaningful subgroups. However, replication in a larger sample is important to support the validity and utility of the subgroups for use in research and practice. METHOD: The present paper used latent profile analysis (LPA) to (1) replicate the previous study by Lerner and colleagues in a larger sample of 514 clinic-referred autistic youth (aged 6-18, 83.2% male, 90.4% White, IQ 19-140) and (2) determine if parent-teacher informant discrepancies relate to clinical and functional correlates. We hypothesized that parent-teacher discrepancies in ASD symptom severity ratings would validly characterize ASD subgroups and predict clinical and functional correlates. RESULTS: The results of the LPA supported a 4-profile solution made up of two parent-teacher agreement groups (high parent-teacher, 21.2%, and low parent-teacher, 34.2%) and two parent-teacher discrepancy groups (high parent-low teacher, 18.1%, and moderate parent-high teacher, 26.5%), replicating findings from Lerner and colleagues. Latent profile membership differentially predicted IQ, age, and educational outcomes of participants. CONCLUSIONS: Unique, clinically useful information about the taxonomy and impact of ASD is obtained by considering informant discrepancies in symptom severity ratings, which underscores the importance of considering contextual variability assessed through multiple informants.

Quantifying social skill deficits and strengths profiles in autistic youth.

While social difficulties in autism are well-established, questions remain regarding whether these represent challenges in acquiring or performing such skills, reduced social strengths, or a unique distribution across these domains (i.e., social profile). This study empirically derived social profiles of 211 autistic and non-autistic youth (Mage  = 13.50; Autistic N = 150; Male N = 151; 85.3% White). Assessments occurred between 2016 and 2020. Results showed that autistic youth exhibit significantly more social acquisition and performance deficits and fewer strengths than nonautistic youth (ds = -.44 to .65). Performance deficits were most-and acquisition deficits least-prominent within autistic profiles, potentially implicating longstanding theoretical models of social difficulties in autism, and supporting new, idiographic approaches for conceptualizing, assessing, and treating social challenges.