The Impact of the Comorbidity of ASD and ADHD on Social Impairment

Prevalence of comorbidity of autism and ADHD and associated characteristics in school population: EPINED study

Autism and attention deficit hyperactivity disorder (ADHD) comorbidity in the school population have been understudied. This study estimates its prevalence considering both parents' and teachers' reports and clinical diagnosis. Sociodemographic, clinical, and cognitive data were compared by diagnostic groups: autism, ADHD, autism and ADHD, subthreshold autism spectrum disorder (ASD), subthreshold ADHD, and children without neurodevelopmental conditions. Following a two-phase design, 3727 parents and teachers (1802 preschoolers, 1925 school-age children) participated in the first phase. Subsequently, 781 participants underwent individual assessment for DSM-5 diagnoses. The estimated prevalence of the comorbid diagnosis was 0.51% (0.28%-0.74%), with significant sex differences (0.16% girls, 0.89% boys). The cooccurrence of symptoms of autism and ADHD reported by parents or teachers was 3.2% and 2.6%, respectively. ADHD comorbidity was observed in 32.8% of autistic children and 31.4% of those with subthreshold ASD. ASD comorbidity was observed in 9.8% of children with ADHD and 5.7% of those with subthreshold ADHD. Comorbidity was reported by at least one informant in 95% of children. Only 15.8% of children with autism and ADHD had been previously diagnosed with both conditions. Early detection and accurate comorbidity diagnosis are crucial to address the clinical and socio-educational needs of these children.

Differential Diagnosis of Autism and Other Neurodevelopmental Disorders

This article discusses the diagnostic criteria for autism spectrum disorder (ASD), as well as other neurodevelopmental disorders that may be confused with or co-occur with ASD. Practitioners involved in diagnostic assessment of ASD must be well versed in the features that differentiate ASD from other conditions and be familiar with how co-occurring conditions may manifest in the context of ASD. ASD symptoms present differently across development, underscoring the need for training about typical developmental expectations for youth. Periodic reevaluations throughout development are also important because support needs for individuals with autism change over time.

Is There a Bias Towards Males in the Diagnosis of Autism? A Systematic Review and Meta-Analysis

Autism is more frequently diagnosed in males, with evidence suggesting that females are more likely to be misdiagnosed or underdiagnosed. Possibly, the male/female ratio imbalance relates to phenotypic and camouflaging differences between genders. Here, we performed a comprehensive approach to phenotypic and camouflaging research in autism addressed in two studies. First (Study 1 - Phenotypic Differences in Autism), we conducted a systematic review and meta-analysis of gender differences in autism phenotype. The electronic datasets Pubmed, Scopus, Web of Science, and PsychInfo were searched. We included 67 articles that compared females and males in autism core symptoms, and in cognitive, socioemotional, and behavioural phenotypes. Autistic males exhibited more severe symptoms and social interaction difficulties on standard clinical measures than females, who, in turn, exhibited more cognitive and behavioural difficulties. Considering the hypothesis of camouflaging possibly underlying these differences, we then conducted a meta-analysis of gender differences in camouflaging (Study 2 - Camouflaging Differences in Autism). The same datasets as the first study were searched. Ten studies were included. Females used more compensation and masking camouflage strategies than males. The results support the argument of a bias in clinical procedures towards males and the importance of considering a 'female autism phenotype'-potentially involving camouflaging-in the diagnostic process.

Exploring telediagnostic procedures in child neuropsychiatry: addressing ADHD diagnosis and autism symptoms through supervised machine learning

Recently, there has been an increase in telemedicine applied to child neuropsychiatry, such as the use of online platforms to collect remotely case histories and demographic and behavioral information. In the present proof-of-concept study, we aimed to understand to what extent information parents and teachers provide through online questionnaires overlaps with clinicians' diagnostic conclusions on attention-deficit/hyperactivity disorder (ADHD). Moreover, we intended to explore a possible role that autism spectrum disorders (ASD) symptoms played in this process. We examined parent- and teacher-rated questionnaires collected remotely and an on-site evaluation of intelligence quotients from 342 subjects (18% females), aged 3-16 years, and referred for suspected ADHD. An easily interpretable machine learning model-decision tree (DT)-was built to simulate the clinical process of classifying ADHD/non-ADHD based on collected data. Then, we tested the DT model's predictive accuracy through a cross-validation approach. The DT classifier's performance was compared with those that other machine learning models achieved, such as random forest and support vector machines. Differences in ASD symptoms in the DT-identified classes were tested to address their role in performing a diagnostic error using the DT model. The DT identified the decision rules clinicians adopt to classify an ADHD diagnosis with an 82% accuracy rate. Regarding the cross-validation experiment, our DT model reached a predictive accuracy of 74% that was similar to those of other classification algorithms. The caregiver-reported ADHD core symptom severity proved the most discriminative information for clinicians during the diagnostic decision process. However, ASD symptoms were a confounding factor when ADHD severity had to be established. Telehealth procedures proved effective in obtaining an automated output regarding a diagnostic risk, reducing the time delay between symptom detection and diagnosis. However, this should not be considered an alternative to on-site procedures but rather as automated support for clinical practice, enabling clinicians to allocate further resources to the most complex cases.

Abnormal Brain Structure Is Associated with Social and Communication Deficits in Children with Autism Spectrum Disorder: A Voxel-Based Morphometry Analysis

Structural magnetic resonance imaging (sMRI) studies have shown abnormalities in the brain structure of ASD patients, but the relationship between structural changes and social communication problems is still unclear. This study aims to explore the structural mechanisms of clinical dysfunction in the brain of ASD children through voxel-based morphometry (VBM). After screening T1 structural images from the Autism Brain Imaging Data Exchange (ABIDE) database, 98 children aged 8-12 years old with ASD were matched with 105 children aged 8-12 years old with typical development (TD). Firstly, this study compared the differences in gray matter volume (GMV) between the two groups. Then, this study evaluated the relationship between GMV and the subtotal score of communications and social interaction on the Autism Diagnostic Observation Schedule (ADOS) in ASD children. Research has found that abnormal brain structures in ASD include the midbrain, pontine, bilateral hippocampus, left parahippocampal gyrus, left superior temporal gyrus, left temporal pole, left middle temporal gyrus and left superior occipital gyrus. In addition, in ASD children, the subtotal score of communications and social interaction on the ADOS were only significantly positively correlated with GMV in the left hippocampus, left superior temporal gyrus and left middle temporal gyrus. In summary, the gray matter structure of ASD children is abnormal, and different clinical dysfunction in ASD children is related to structural abnormalities in specific regions.

The Impact of Co-occurring ADHD on Social Competence Intervention Outcomes in Youth with Autism Spectrum Disorder

PURPOSE

The co-occurrence of autism spectrum disorder (ASD) and attention- deficit/hyperactivity disorder (ADHD) is significant and associated with a host of negative outcomes. Studies investigating social functioning in the presence of the ASD/ADHD co-occurrence have produced mixed findings. The present study further evaluated the impact of co-occurring ADHD on social functioning among youth with ASD and compared treatment response to a social competence intervention between youth with ASD and ASD + ADHD.

METHODS

Two-way repeated measures analyses of variance (ANOVAs) were computed with diagnostic group and time as the independent variables and measures of social functioning as dependent variables. Group and Time effects and Group by Time interactions were examined.

RESULTS

Youth with co-occurring ADHD displayed more impairments related to social awareness, but not in other social areas. Participants in both the ASD and ASD + ADHD groups demonstrated significant improvement following a social competence intervention.

CONCLUSION

Co-occurring ADHD did not negatively affect treatment response. Youth with ASD + ADHD may benefit highly structured interventions with a scaffolded teaching design.

Fostering Computational Thinking and Social-emotional Skills in Children with ADHD and/or ASD: a Scoping Review

Although Computational Thinking (CT) is considered an essential 21st century skill, little is known about teaching CT to students with autism spectrum disorder (ASD) and/or attention deficit/hyperactivity disorder (ADHD). To address this gap in the research, we conducted a scoping review to identify those approaches promoting programming skills and/or CT in children aged 6–15 with ASD and/or ADHD. We also investigated which other skills were simultaneously fostered and examined the challenges and benefits reported in the interventions undertaken. Results indicate that fostering programming and/or CT in students with ASD and/or ADHD has a beneficial effect. CT-related skills acquired by such students were found to persist beyond the intervention period and were often associated with an improvement in student social-emotional competences.

Symptom similarities and differences in social interaction between autistic children and adolescents with and without ADHD

Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) are two often co-occurring neurodevelopmental conditions. Nevertheless, there is limited research about symptom differences between ASD and ASD + ADHD groups. This study examined differences in social interaction and communication between children and adolescents with ASD and with ASD + ADHD. A total of 112 participants were identified from two clinical trials. Fifty-six children and adolescents with ASD aged 8–17 years were matched for age, gender and general intelligence quotient with fifty-six children and adolescents with ASD + ADHD. Group differences in scores on the Autism Diagnostic Observation Schedule were analysed. Our results showed that participants with ASD and with ASD + ADHD had similar profiles of social communication interaction challenges and restricted behaviour. However, items assessing gestures: Conventional, Instrumental or Informational Gestures and Empathic or Emotional gestures showed significant differences between the groups suggesting that the ASD + ADHD group used descriptive gestures to communicate to a greater extent than the ASD group. These findings suggest that children and adolescents in both groups have similar difficulties in social communication and interaction with observed differences in the use of gestures. Possible reasons and implications for the differences in the use of gestures are discussed.

The relationship between alexithymia, interoception, and neural functional connectivity during facial expression processing in autism spectrum disorder

Neural processing differences of emotional facial expressions, while common in autism spectrum disorder (ASD), may be related to co-occurring alexithymia and interoceptive processing differences rather than autism per se. Here, we investigate relationships between alexithymia, interoceptive awareness of emotions, and functional connectivity during observation of facial expressions in youth (aged 8-17) with ASD (n = 28) compared to typically developing peers (TD; n = 37). Behaviorally, we found no significant differences between ASD and TD groups in interoceptive awareness of emotions, though alexithymia severity was significantly higher in the ASD group. In the ASD group, increased alexithymia was significantly correlated with lower interoceptive sensation felt during emotion. Using psycho-physiological interaction (PPI) analysis, the ASD group showed higher functional connectivity between the left ventral anterior insula and the left lateral prefrontal cortex than the TD group when viewing facial expressions. Further, alexithymia was associated with reduced left anterior insula-right precuneus connectivity and reduced right dorsal anterior insula-left ventral anterior insula connectivity when viewing facial expressions. In the ASD group, the degree of interoceptive sensation felt during emotion was positively correlated with left ventral anterior insula-right IFG connectivity when viewing facial expressions. However, across all participants, neither alexithymia nor interoceptive awareness of emotions predicted connectivity between emotion-related brain regions when viewing emotional facial expressions. To summarize, we found that in ASD compared to TD: 1) there is stronger connectivity between the insula and lateral prefrontal cortex; and 2) differences in interhemispheric and within left hemisphere connectivity between the insula and other emotion-related brain regions are related to individual differences in interoceptive processing and alexithymia. These results highlight complex relationships between alexithymia, interoception, and brain processing in ASD.

Bibliometric Analysis of Research Themes and Trends of the Co-Occurrence of Autism and ADHD

Background

In recent years, there has been a growing body of research suggesting that ASD and ADHD are two disorders that often co-exist. Despite the rapid development of research, little is known about their etiology, diagnostic markers, and interventions, which has led us to review and summarise the development of the field in the hope that this will provide an opportunity to look for future directions.

Methods

A bibliometric approach was used to analyse papers in the field of ASD co-morbidities in ADHD on Web of Science from 1991-2022, using CiteSpace and VOSview to map the country/institution, journal, author, co-citation, and keyword networks in the field and to visualise the results.

Results

A total of 3284 papers were included, showing an increasing trend in terms of posting trends. Research on co-morbidities of ASD has proven to be mainly focused on universities. The USA (1662) published the most relevant literature in this area, followed by the UK (651) and Sweden (388). Lichtenstein P is the most published author (84), and research into the pathogenesis of ASD co-occurring ADHD and related clinical diagnostics is currently at the forefront of the field.

Conclusion

This analysis identifies the most influential institutions and countries, cited journals, and authors in the field of ASD co-morbid ADHD research. The future direction of ASD co-occurring ADHD should be based on improving case identification, discovering the etiological and diagnostic markers of ASD and ADHD, and finding more effective clinical interventions.

Linking ADHD and ASD Symptomatology with Social Impairment: The Role of Emotion Dysregulation

Children with attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) often experience social impairments. These children also frequently struggle with emotion regulation, and extant literature suggests that emotion dysregulation predicts social impairment in both clinical and neurotypical populations. However, the evidence base linking ADHD/ASD with social impairment comes primarily from samples meeting full diagnostic criteria for ADHD and/or ASD despite evidence that both syndromes reflect extreme ends of natural continuums that are normally distributed across the general population. To our knowledge, the present study is the first to concurrently examine unique and overlapping relations among ADHD/ASD symptoms, emotion regulation, and social difficulties using multi-informant measures (parent, teacher) with a clinically-evaluated sample of 108 children ages 8-13 (40 girls; 66% White/Non-Hispanic) with and without clinically-elevated ASD and ADHD symptoms and other common clinical disorders. Bias-corrected, bootstrapped conditional effects modeling revealed that ADHD-inattentive (β=-0.23) and ASD-social communication (β=-0.20) symptoms predicted social impairment directly, whereas ADHD-hyperactive/impulsive (β=-0.06) and ASD-restricted/repetitive behavior/interests (β=-0.06) symptoms predicted social impairment only via their shared associations with emotion dysregulation. Sensitivity analyses revealed that most relations were robust to control for item overlap across measures. In contrast, only the ADHD-inattention/social impairment link was robust to control for mono-informant bias, highlighting the importance of multi-informant methods and the potential for different determinants of social functioning across settings. Overall, this study implicates emotion regulation skills and all four ADHD/ASD symptom clusters as potential influences on children's social functioning, albeit with a more nuanced and potentially setting-specific pattern than suggested by prior work.

The complex relationship between greenspace and well-being in children with and without autism

Greenspace (defined here as canopy coverage) positively correlates with improved well-being in typically developing individuals, but this relationship has not been established in children with autism spectrum disorder (ASD). To investigate this relationship, the current study merged data from the National Survey of Children's Health (2012) with the National Land Cover Database. Across typically developing children, children with ASD, and non-autistic children with special healthcare needs (CSHCN), greenspace unexpectedly negatively correlated with well-being. Further, compared with typically developing children, children with ASD or CSHCN status had lower well-being. Interestingly, typically developing children with conduct problems displayed an unexpected negative relationship (i.e. as greenspace increased whereas well-being decreased), though those without conduct problems showed no relationship. Children with ASD displayed no relationship between greenspace independent of conduct problems. CSHCN displayed non-significant trends suggesting mild positive relationships between greenspace and well-being. These data indicate the relationship between greenspace and well-being is more complex than expected and may depend on the diagnostic traits of the population studied.

Clinical practitioners' experiences of psychological treatment for autistic children and adolescents with school attendance problems: a qualitative study

BACKGROUND

School attendance problems (SAPs) are common among children and adolescents with autism spectrum disorder (ASD). Currently, there is a lack of guidelines for treatment or interventions aimed at this group.

METHOD

Twelve clinical practitioners were interviewed via in-depth interviews using a semi-structured question guide. Interviews were audiotaped, transcribed verbatim, and initially independently coded by two coders. The interviews were analyzed according to thematic analysis.

RESULTS

The majority of the clinicians reported that it was common that children and adolescents with ASD at CAP had prolonged SAPs. A total of four themes and 22 sub-themes were identified in the analysis: the treatment situation; treatment goals at CAP; treatment interventions; and desired development. Insufficient adaptations in response to core impairment of ASD and lack of support in their daily life could be factors to the development of SAPs. Prolonged social isolation in combination with severe psychiatric comorbidities was reported as a treatment barrier. Also, insufficient collaboration between mental health care services, school and social services obstructed the return to school for this group of students. Favorable factors for positive treatment outcome were: early detection, accurate assessment and coordination between mental health care and schools and environmental adaptation at school as well as at home, parent support and sometimes change of school. Concerning useful therapeutic techniques, exposure from cognitive-behavioral treatment was reported.

CONCLUSION

Children and adolescents with ASD with limited societal support tend to develop SAPs. Important factors that impact the outcome of treatment were the length of the absence from school and the severity of psychiatric comorbidities. Tailored and adapted interventions at school, parent support and mental health care are needed. Research about assessment and treatment for children and adolescents with ASD and SAPs is needed.

Autistic Traits and Empathy in Children With Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorder and Co-occurring Attention Deficit Hyperactivity Disorder/Autism Spectrum Disorder

Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorders (ASD) are two of the most represented neurodevelopmental conditions in childhood. The diagnostic shift introduced by the DSM-5, allowing a combined diagnosis of ADHD and ASD, poses different clinical challenges related to diagnostic overshadowing, accuracy of clinical judgment and potential delay in an ASD diagnosis in children presenting with ADHD. Here we tried to disentangle the clinical phenotype and specificity of the two co-occurring conditions in relation to autism traits and empathy, by comparing children with ASD with and without comorbid ADHD with children presenting ADHD only and children with typical development. The child versions of the Autism Quotient (C-AQ) and Empathy Quotient (C-EQ) were administered to a total sample of 198 male children between 6 and 14 years old with age appropriate language skills and normal intelligence. Univariate analysis demonstrated no significant differences in the C-AQ total and subscale scores as well as the C-EQ between children with ASD and children with ASD + ADHD, while children with ADHD alone presented an intermediate phenotype between ASD and TD. Furthermore, a receiver operating characteristic (ROC) analysis was applied to discriminate among the different phenotypes. We found that the C-AQ and C-EQ were accurate at distinguishing with satisfactory reliability between: (a) ASD vs. non- ASD (N-ASD) groups comprising both ADHD and TD children (Area Under the Curve AUC 88% for C-AQ and 81% for C-EQ); (b) ASD and TD (AUC 92% for C-AQ and 95% for C-EQ); (c) ASD and ADHD (AUC 80% for C-AQ and 68% for C-EQ). Our data confirm the reliability of the C-AQ and C-EQ as behavioral markers to differentiate ASD (regardless of comorbid ADHD) from an ADHD condition and TD. Interestingly, in our sample an ADHD condition does not increase the severity of the clinical phenotype in terms of autism traits distribution and empathy, suggesting that the psychological measures detected by the two quantitative instruments are independent of ADHD traits. This evidence will contribute to the translational efforts in developing better tailored treatments and preventive strategies.

An Investigation of Behavioural and Self-Reported Cognitive Empathy Deficits in Adolescents With Autism Spectrum Disorders and Adolescents With Behavioural Difficulties

Deficits in empathy have been considered hallmarks in individuals with autism spectrum disorders (ASD) but are also considered to underlie antisocial behaviour associated with individuals with callous unemotional traits (CU). Research has suggested that individuals with autism spectrum disorders show more difficulties with cognitive empathy, and that individuals diagnosed with behaviours difficulties, characterised by CU traits and antisocial behaviour, demonstrate low affective empathy. In the current manuscript we present findings of two studies. The first study describes the validation of a new stimulus set developed for the empathic accuracy task, focused on its cognitive component. The second study compares the performance of 27 adolescents with ASD, 27 age matched typically developing adolescents and 17 adolescents with behavioural difficulties on the empathic accuracy task and a self-report measure of empathy. While, no differences were observed between the three groups across the empathy accuracy task, the adolescents with ASD and CD showed deficits in their cognitive empathy across the self-report measure. Adolescents with ASD showed lower scores in particularly their perspective taking abilities, whereas the adolescences with behavioural difficulties showed more difficulties with their online simulation. No differences in self-reported affective empathy across the three groups were observed. Clinical implications of the findings are discussed.