Autistic Traits Research Articles

Services in Minoritized Autistic Adolescents and Adults Varying in Language Skills.

Racially and ethnically minoritized (minoritized) autistic individuals face intersectional disparities in service access in the transition to adulthood. Our understanding of disparities is limited by systematic exclusion from research and inadequate approaches to characterizing services. To address these gaps and effect advocacy, this study (1) examined services received, unmet service needs, and barriers in minoritized autistic adolescents and adults and (2) determined if language, NVIQ, and autism traits predict services when deployed as binary or continuous variables. Academic and community partners tailored community-based participatory research (CBPR) to a local context. Participants (N = 73, ages 13-30) completed a behavioral assessment protocol. Participants and caregivers provided information on services received, unmet service needs, and barriers to services. Data were analyzed using descriptive and regression. Participants received multiple services yet had multiple unmet service needs and barriers. Effects of services differed by approach. Language impairment, but not language scores, predicted receiving more services. High levels of autism traits and autism trait scores predicted more unmet service needs. While the number of services and unmet service needs was similar to prior work, differences in individual service variables and effects support attention to heterogeneity. Findings support intersectional approaches to CBPR and autism research.

A Mixed Method Systematic Review Into the Impact of ED Treatment in Autistic People and Those With High Autistic Traits.

Our understanding of the impact of eating disorders (ED) treatment in Autistic people remains elusive. Research has begun to explore ED treatment outcomes and experiences in this population, however current understandings are poorly integrated. The current review therefore sought to explore the impact of ED treatment on Autistic people and those with higher Autistic traits. A convergent, segregated approach was used, independently evaluating quantitative then qualitative studies before integrating findings into a coherent narrative synthesis. Autistic people and people with higher Autistic traits report poorer experiences of treatment and may be at increased risk of inpatient admission and prolonged inpatient treatment, possibly explained by difficulties with treatment timeframes and a lack of autism-informed support. Both groups reported similar improvements in ED symptoms and BMI. Higher rates of psychosocial difficulties pre-and post-treatment were reported in those with higher Autistic traits, and emotion-focused interventions were felt to be particularly relevant to Autistic presentations of EDs. Concerns were reported as to how well aligned group-based programs and cognitive-based interventions are for Autistic individuals and those reporting higher Autistic traits. Future research in diagnosed autism samples is urgently needed to develop a more robust understanding of Autistic outcomes and experiences. Review findings demonstrate the need for increased understanding of ED presentations and the possible need for treatment adaptations, for Autistic people or those with higher Autistic traits.

Insights From a Novel Splicing Variant and Recurrent Arginine Variants in the CHD3 Gene Causing Snijders Blok-Campeau Syndrome.

Snijders Blok-Campeau syndrome (SNIBCPS, OMIM#618205) is an autosomal dominant neurodevelopmental disorder attributed to pathogenic variants in the chromodomain helicase DNA binding protein 3 (CHD3) gene. To date, more than 100 individuals have been diagnosed with SNIBCPS. The syndrome is characterized by intellectual disability, global developmental delay, speech or language impediments, and dysmorphic features associated with macrocephaly. Additionally, affected individuals may exhibit behavioral issues, hypotonia, and autistic traits. A novel splicing variant (c.5590+1G > T) in the C-terminal 2 region of the CHD3 gene was identified in a patient predominantly exhibiting autistic characteristics. Invitro minigene splicing experiments conducted in HEK293 cells revealed that aberrant splicing resulted in the formation of a cryptic site 46 nucleotides downstream of the 5' splice site. This alteration was predicted to disrupt the reading frame by eliminating the physiological stop codon, consequently causing an extension in protein translation. Furthermore, an additional patient presenting with hypotonia, dysmorphic features, and global developmental delay was documented. This patient harbored a missense variant in the helicase C-terminal domain, c.3505C > T (p. Arg1169Trp). The pathogenic variant was anticipated to impact chromatin remodeling capacity and enzyme activity. Given the high prevalence of arginine residue pathogenic variants in the CHD3 protein and its notable propensity for binding and storing ATP molecules, intriguing insights into the potential effects of arginine residue pathogenic variants on phenotypes are provided. These findings contribute to a more comprehensive understanding of the genetic landscape of SNIBCPS while elucidating potential molecular mechanisms underlying the syndrome.

Prediction for children with autism spectrum disorder based on digital behavioral features during free play.

Play is an indispensable and meaningful activity in children's daily life. Research has shown that autistic children often exhibit differences in play development. The core traits of autism, such as distinct patterns in social interaction and communication, focused interests, and repetitive behaviors, frequently manifest in their play. Therefore, play may serve as an insightful measure of these differences. Unlike previous studies focusing on play behaviors only, we explored other behaviors associated with autism during free play, and constructed a clinical prediction model for effectively screening autistic children. Participants, including 123 autistic children and 123 neurotypical children aged 1-6 years, engaged in a 1.5-min free play with fixed toys, which was videotaped. A novel behavior-coding scheme was used to code these videos for 19 autistic behaviors, including play. The coding details of the 19 behaviors were then converted and expanded to 81 digital behavior indicators, including counts, duration, and proportion. The autistic children showed less functional play and imaginative play and reduced social communication and interactions, such as eye contact, facial expressions, and vocalizations, compared to the neurotypical children during free play. Furthermore, 5 behavioral indicators were selected for the prediction model through stepwise logistic regression, including 1 on socially oriented vocalizations and 4 on count and duration of functional play. The receiver operating characteristic (ROC) curve revealed a good prediction performance with an area under the curve (AUC) of 0.826, a sensitivity of 85.4%, and a specificity of 68.3%. Our findings highlight differences in play performance and social communication and interactions during free play among autistic children. Based on these findings, we constructed a good clinical prediction model, which might be a potential digital tool used by clinicians to effectively screen autistic children.

Investigating the Presence of Autistic Traits and Prevalence of Autism Spectrum Disorder Symptoms in Anorexia Nervosa: A Systematic Review and Meta-Analysis.

The present meta-analysis aims to assess whether individuals with anorexia nervosa (AN) demonstrate elevated autistic traits, to explore potential associations between autistic traits and eating disorder symptoms; as well as to estimate the prevalence of a positive screen for autism spectrum disorder (ASD) assessed via Autism Diagnostic Observation Schedule (ADOS), in AN. A systematic literature search was conducted in PsycINFO, MEDLINE, and Web of Science in August 2023 and later updated in April 2024 to identify relevant studies. Twenty-two studies with 1172 AN patients and 2747 healthy controls (HCs) met the inclusion criteria. There was a significant difference between AN and HC groups in autistic traits (g = 0.88, CI = 0.65-1.12), and a significant but modest correlation was found between autistic traits and severity of eating disorder symptoms (r = 0.28, CI = 0.11-0.44). Proportion meta-analysis indicated that 29% (CI = 0.19-0.38) of children and adults scored above the cut-off for ASD. The current findings suggest that AN frequently overlaps with both autistic traits and autistic symptomatology. Therefore, it is essential to evaluate autism and autistic traits in individuals with AN to tailor individualized treatment plans.

GABA and glutamate measurements in temporal cortex of autistic children.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder and presents with challenges in social communication. A hypothesized underlying contributing mechanism is the imbalance in excitation and inhibition (E/I), partly influenced by the levels of excitatory neurotransmitter glutamate (Glu) and inhibitory neurotransmitter γ-aminobutyric acid (GABA) in the brain. Although many have reported the levels of GABA and Glu in the brain, only a few reports address the temporal cortex and then only with a small sample of autistic children, and often only in one hemisphere. We used a macromolecular suppressed edited-magnetic resonance spectroscopy (MRS) sequence to study GABA and Glu (as potential key players influencing E/I) in a large sample of children with ASD in the right and left temporal cortices of children with (N = 56) and without (N = 30) ASD (7-18 years). As a group, children with ASD exhibited no differences in the left hemisphere (GABA and Glu Cohen's |d|: 0.24 and 0.03), but the right hemisphere showed higher GABA and lower Glu concentrations (GABA and Glu Cohen's |d|: 0.53 and 0.65) compared to neurotypicals. Furthermore, a negative association was found between the right hemisphere Glu levels of the ASD group and a clinical assessment tool (r = -0.361, p = 0.022), reflecting autism trait severity (social responsiveness scale). In conclusion, we highlight the chemical abnormalities in children with ASD through a cross-sectional measurement. Longitudinal studies are warranted to determine whether these chemical levels persist or resolve over development.

Emotion dysregulation in autism: Severity and correlates in early childhood.

Emotion dysregulation (ED) is common and severe in older autistic youth, but is rarely the focus of early autism screening or intervention. Moreover, research characterizing ED in the preschool years (when autism is typically diagnosed) is limited. This study aimed to characterize ED in autistic children by examining (1) prevalence and severity of ED as compared to children without an autism diagnosis; and (2) correlates of ED in autistic children. A sample of 1864 parents (Mean child age = 4.21 years, SD = 1.16 years; 37% female) of 2-5 year-old children with (1) autism; (2) developmental concerns, but no autism; and (3) no developmental concerns or autism completed measures via an online questionnaire. ED was measured using the Emotion Dysregulation Inventory-Young Child, a parent report measure characterizing ED across two dimensions: Reactivity (fast, intense emotional reactions) and dysphoria (low positive affect, sadness, unease). Autistic preschoolers, compared to peers without developmental concerns, had more severe ED (+1.12 SD for reactivity; +0.60 SD for dysphoria) and were nearly four and three times more likely to have clinically significant reactivity and dysphoria, respectively. Autistic traits, sleep problems, speaking ability, and parent depression were the strongest correlates of ED in the autism sample. While more work is needed to establish the prevalence, severity, and correlates of ED in young autistic children, this study represents an important first step. Results highlight a critical need for more high-quality research in this area as well as the potential value of screening and intervention for ED in young autistic children.

A preliminary investigation of parent-child attachment relationship in toddlers with autism traits

Using a cross-sectional design, this study explored attachment insecurity and disorganization (assessed using the Strange Situation Procedure) in 90 toddlers (aged 14–24 months) with and without autism traits and assessed the associations between autism traits (severity and profiles) and both developmental level and attachment classification. Our findings showed no significant differences between the rates of attachment insecurity or attachment disorganisation among toddlers with, and toddlers without, autism traits. However, among the toddlers with autism traits, those with a disorganised attachment were more likely to have autism traits of greater severity. While greater autism trait severity was associated with attachment disorganisation, it remains unclear whether this association is the result of children with autism traits having higher rates of attachment disorganisation or whether autism traits are being misinterpreted as attachment disorganisation indices.

Exploring the links between sensory sensitivity, autistic traits and autism-related eating behaviours in a sample of adult women with eating disorders

This study examined the presence of autistic traits in a sample of adult women diagnosed with different Eating Disorders (ED), and explored the concurrent role of autistic traits and sensory sensitivity in influencing both their eating disorder symptomatology and their autism-related eating behaviours. Seventy-five women with different ED (Anorexia Nervosa, Bulimia Nervosa, Binge-Eating Disorder, Other Specified Feeding or Eating Disorder) completed the Eating Attitude Test (EAT-26), the Autism Quotient (AQ), the Ritvo Autism Asperger Diagnostic Scale-Revised (RAADS-R), the Sensory Perception Quotient - Short Form 35 item (SPQ-SF35) and the Swedish Eating Assessment for Autism Spectrum Disorders (SWEAA). Twelve percent of participants scored above the cut-off on both the AQ and the RAADS-R, while 68% scored above the cut-off on the RAADS-R only. A mediation analysis revealed that the association between sensory sensitivity (SPQ-SFR35) and scores on both the EAT-26 and the SWEAA was significantly mediated by the presence of autistic traits (RAADS-R). These findings, first, confirm the presence of autistic traits in individuals with ED; second, they show that a lower sensory threshold (i.e., a higher sensory sensitivity) is associated with a higher presence of autistic traits which were, in turn, positively associated with dysfunctional eating behaviours typical of ED and ASD. This study ultimately highlights the importance of further research on autistic traits across all diagnostic categories of ED.

Feasibility and cross-cultural validation of an adapted social skills group training programme (KONTAKTTM CHILD) for Chinese autistic children: a waitlist RCT protocol

IntroductionSchool-age autistic children commonly experience social communication and interaction challenges in their everyday lives. While international evidence suggests that social skills group training (SSGT) programmes can support autistic children, improving...

Autism, intelligence, language, and adaptive behavior, disentangling a complex relationship

IntroductionAutism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder characterized by a range of intellectual and language abilities. Its heterogeneity is acknowledged in modern diagnostics, complicating research and necessitating precision medicine and a multidimensional approach for individualized treatment and accurate assessment. Intellectual and language functioning influence adaptive skills and symptomatology. Thus, assessing adaptive functioning in a multidimensional and multi-informant manner is crucial, highlighting the importance of comprehensive evaluations. This study explores the interplay between autistic traits, demographic variables, IQ, adaptive functioning, and the applicability of ICD-11 classifications.MethodsWe analyzed data from the initial global evaluation of 60 diverse autistic children (aged 35 to 120 months; IQ range 16 to 118). Parent-reports using the Vineland Adaptive Behavior Scale (VABS-II) were compared with standardized assessments from the PsychoEducational Profile (PEP-3). Children’s intellectual levels were assessed using Griffiths Scales of Child Development (Griffiths III) and the Autism Diagnostic Observation Schedule (ADOS-2) was used for autistic traits. They were further classified according to the ICD-11 diagnostic system, functional language, and intellectual functioning levels. Correlations among variables, group comparisons, and multivariate analyses were performed.ResultsThe analysis indicates a linear effect of IQ on all adaptive scales and the impact of autistic traits on directly measured adaptive functioning. A factorial effect was observed due to changes concerning specific age, intellectual, and linguistic levels, which do not completely align with ICD-11 categorization. Additionally, a negative correlation between intelligence and measured autistic traits was found. Parental age, education level, and age at childbirth were also found to affect various adaptive scales.DiscussionThe study questions the ICD-11’s proposed distinctions in IQ and language functioning for ASD, advocating for more refined categorization and developmental considerations. It underscores the intricate relationship between autistic traits, IQ, and communication skills, casting doubt on the precision of diagnostic tools across the spectrum. Parental reports and direct assessments are essential for comprehensive evaluation, with parental education and age influencing children’s behaviors and skills. The study calls for a nuanced approach to ASD assessment, integrating various metrics and sources of information for a detailed phenotyping necessary for personalized interventions and biological research.

A reward self-bias leads to more optimal foraging for ourselves than others.

People are self-biased for rewards. We place a higher value on rewards if we receive them than if other people do. However, existing work has ignored one of the most powerful theorems from behavioural ecology of how animals seek resources in everyday life, the Marginal Value Theorem (MVT), which accounts for optimal behaviour for maximising resources intake rate. Does this self-bias help humans maximise rewards when foraging for their own benefit compared to foraging for the benefit of others? Participants had to decide when to leave patches where reward intake was gradually depleting, in environments with different average reward rates. Half of the time participants foraged for themselves, and in the other half they collected rewards for an anonymous stranger. The optimal MVT derived solution states people should leave when the instantaneous reward intake in a patch equals the average rate in an environment. Across two studies, people were more optimal when foraging for self, showing a reduced sensitivity to instantaneous rewards when foraging for other. Autistic traits were linked to reduced sensitivity to reward rates when foraging for self but not for other. These results highlight that the self-bias may be adaptive, helping people maximise reward intake.

Exploring the construct validity of the Camouflaging Autistic Traits Questionnaire: A factor analytic study.

Autistic people describe having to mask or 'camouflage' their autistic selves to fit into certain social settings. Many researchers have used the CAT-Q to measure the extent to which autistic people engage in camouflaging. However, some researchers have questioned whether the CAT-Q measures camouflaging or whether it measures other related experiences and behaviours associated with social anxiety, fear of being negatively judged or social autistic traits. In our study, we analysed the CAT-Q to check whether it is indeed similar to or different from these related experiences. To do this, we asked 308 autistic adults to complete the CAT-Q and questionnaires about social anxiety, fear of being negatively judged and autistic social features. Then, we put all the CAT-Q items together with the items from each of the other measures in three separate analyses (called factor analyses) to see how the items would group together. These analyses showed us whether camouflaging behaviours are distinguishable and different from, or cluster together with, these other experiences. We found that most of CAT-Q items grouped together separately from the other measures' items, suggesting that camouflaging differs from these other related experiences. Only some items from one of the CAT-Q subscales clustered together with some social anxiety and autistic items, suggesting these may need to be teased out better in the future. Generally, our findings show that we can use the CAT-Q to measure camouflaging behaviours among autistic people.

Exploring the Link between Autistic Traits, Emotional Intelligence, and Self-efficacy in Understanding Social Anhedonia

Abstract: Autism severity has been found to be associated with social anhedonia. However, the mechanisms linking the two have not been clarified. Objective: The study was designed to examine the link between autistic traits and social anhedonia. The present study tested a serial mediation model, in which it was hypothesized that emotional intelligence and self-efficacy were serial mediators of the relationship between autistic traits and social anhedonia. Methods: Data from 245 participants (57.4% females, n = 134) ranging in age from 18 to 65 years were collected through self-report. Participants completed an online composite questionnaire consisting of The Comprehensive Autistic Trait Inventory, the Wong and Law Emotional Intelligence Scale, The General Self-Efficacy Scale and the Revised Social Anhedonia Scale. Results: The relationship between autistic traits and social anhedonia was mediated by emotional intelligence and serially mediated by emotional intelligence and self-efficacy. Self-efficacy alone failed to link autistic traits to social anhedonia. Conclusion: The study provides evidence for the significant role of emotional intelligence and self-efficacy as mechanisms underlying the relationship between autistic traits and social anhedonia. The findings are discussed in terms of elucidating the processes through which autistic traits may confer vulnerability to compromised emotional intelligence and self-efficacy, which then serve as additional risk factors for social anhedonia.

The mediating role of emotional regulation and emotional expression in the relationship between autistic traits and empathy in Saudi students

The aim was to investigate the mediating role of emotional regulation and emotional expression in the relationship between autistic traits and empathy in Saudi students. Participants were undergraduate students at Umm Al-Qura University. A total of 398 questionnaires were sent out, and 260 valid questionnaires were received. Descriptive statistics and correlation analysis were conducted on the variables hypothesized in the study; on this basis, the structural process model modeling method was used to examine the impact of autistic trait empathy after controlling for factors unrelated to age and gender. This study investigated the relationship between empathy, emotional expression, cognitive reappraisal, and autistic traits in Saudi students. A statistical analysis to test the posited hypotheses was undertaken using IBM SPSS Statistics, version 26. Key descriptive statistics were undertaken using the software, making it possible to study the distributions of successive measured variables. The results found that autistic traits can directly and negatively predict empathy, and also through negative emotional expression and cognitive reappraisal can indirectly predict empathy, and can even predict empathy through the chain mediation of negative emotional expression and positive emotional expression to cognitive reappraisal. However, autistic traits did not predict empathy through positive emotional expression.

The Association Between Autistic Traits and Depression in College Students: The Mediating Roles of Interpersonal Emotion Regulation and Social Self-Efficacy

The Association Between Autistic Traits and Depression in College Students: The Mediating Roles of Interpersonal Emotion Regulation and Social Self-Efficacy

Premorbid autistic traits in phenocopy syndrome of behavioral variant frontotemporal dementia: an autopsy revealing primary age-related tauopathy

Premorbid autistic traits in phenocopy syndrome of behavioral variant frontotemporal dementia: an autopsy revealing primary age-related tauopathy

Autistic traits foster effective curiosity-driven exploration.

Curiosity-driven exploration involves actively engaging with the environment to learn from it. Here, we hypothesize that the cognitive mechanisms underlying exploratory behavior may differ across individuals depending on personal characteristics such as autistic traits. In turn, this variability might influence successful exploration. To investigate this, we collected self- and other-reports of autistic traits from university students, and tested them in an exploration task in which participants could learn the hiding patterns of multiple characters. Participants' prediction errors and learning progress (i.e., the decrease in prediction error) on the task were tracked with a hierarchical delta-rule model. Crucially, participants could freely decide when to disengage from a character and what to explore next. We examined whether autistic traits modulated the relation of prediction errors and learning progress with exploration. We found that participants with lower scores on other-reports of insistence-on-sameness and general autistic traits were less persistent, primarily relying on learning progress during the initial stages of exploration. Conversely, participants with higher scores were more persistent and relied on learning progress in later phases of exploration, resulting in better performance in the task. This research advances our understanding of the interplay between autistic traits and exploration drives, emphasizing the importance of individual traits in learning processes and highlighting the need for personalized learning approaches.

The Prevalence of Autistic Traits in a Sample of Young Adults Referred to a Generalized Mental Health Outpatient Clinic.

The diagnosis of Autism Spectrum Disorders (ASD) is undergoing significant revisions, impacting prevalence estimates in the general population. Moreover, the rise of a dimensional perspective on psychopathology has broadened our understanding of autism, recognizing that subthreshold autistic features extend throughout the general population. However, there remains a limited understanding of the prevalence of ASD traits in individuals with psychiatric disorders, particularly in young adults, who are at an age where several mental health conditions emerge. The aim of this study was to evaluate the prevalence of ASD traits in a sample of young adults (18-24 years old) attending a generalized mental health outpatient clinic. A total of 259 young adult patients completed the self-report screening questionnaires Autism Quotient (AQ) and Ritvo Autism and Asperger Diagnostic Scale-Revised (RAADS-R). A total of 16.2% of our sample scored above the cut-off in both scales; this percentage decreased to 13.13% when restricting the RAADS-R cut-off to >119, as suggested for clinical samples. The association with sociodemographic features is discussed. We argue that screening for autistic traits should be integrated into the assessment of young adults presenting with nonspecific psychiatric symptoms or psychological distress. Although there is ongoing debate over the use of self-report screening tools, a positive result on both the AQ and RAADS-R should prompt clinicians to pursue a comprehensive diagnostic evaluation using structured or semi-structured interviews.

Basic helix-loop-helix transcription factor BHLHE22 monoallelic and biallelic variants cause a neurodevelopmental disorder with agenesis of the corpus callosum, intellectual disability, tone and movement abnormalities.

BHLHE22 encodes a Class II basic helix-loop-helix transcription factor (bHLH). It is expressed exclusively in the retina and central nervous system (CNS), and functions as an important regulator of retinogenesis and neuronal differentiation. Mice lacking bhlhe22 show nearly complete loss of three brain comminsure, including the corpus callosum. Here we report eleven individuals from nine unrelated families with BHLHE22 variants, with a neurodevelopmental disorder presenting with absent or limited speech, severely impaired motor abilities, intellectual disability (ID), involuntary movements, autistic traits with stereotypies, abnormal muscle tone. The majority of individuals have partial or complete agenesis of the corpus callosum (ACC). Additional symptoms comprised epilepsy, variable dysmorphic features, and eye anomalies. One additional individual had spastic paraplegia without delayed development and ACC, expanding the phenotype to milder and later onset forms. Four individuals carry de novo missense variants within the highly conserved helix-loop-helix domain while seven individuals from five unrelated families carry a recurrent homozygous frameshift variant, p.(Gly74Alafs*18). Our findings implicate BHLHE22 variants in causing a previously unidentified autosomal dominant and recessive neurodevelopmental disorder associated with ACC, severe motor, language, and cognitive delays, abnormal tone, and involuntary movements. To our knowledge, this is the first report of Class II bHLH variants in humans shown to significantly disrupt brain development, cognition, and movement.