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Author(s): Nichole E. Scheerer [sup.1] [sup.2] , Anahid Pourtousi [sup.2] , Connie Yang [sup.2] , Zining Ding [sup.2] , Bobby Stojanoski [sup.2] [sup.3] , Evdokia Anagnostou [sup.4] , Robert Nicolson [...], Sensory processing abilities are highly variable within and across people diagnosed with autism and attention-deficit/hyperactivity disorder (ADHD). This study examined the transdiagnostic nature of sensory processing abilities, and their association with features of autism and ADHD, in a large sample of autistic people (n = 495) and people with ADHD (n = 461). Five similar data-driven sensory phenotypes characterized sensory processing abilities, and showed similar patterns of association with features of autism and ADHD, across both diagnostic groups. These results demonstrate the transdiagnostic nature of sensory processing abilities, while contributing to a growing body of literature that suggests the autism and ADHD diagnostic labels have poor explanatory power.

Restricted interests and repetitive behaviors (RRBs) are core symptoms of autism spectrum disorder (ASD), and commonly occur in attention-deficit/hyperactivity disorder (ADHD). Little is known about how RRBs manifest in ADHD. We quantified and compared factor structures of RRBs in children with ASD (n = 634) or ADHD (n = 448), and related factors to sex and IQ. A four-factor solution emerged, including Stereotypy, Self-Injury, Compulsions, and Ritualistic/Sameness. Factor structures were equivalent across diagnoses, though symptoms were more severe in ASD. IQ negatively correlated with Stereotypy, Self-Injury, and Compulsions in ASD, and negatively correlated with Compulsions and Ritualistic/Sameness behaviors in ADHD. In ASD only, females exhibited higher Self-Injury. Thus, patterns of RRBs are preserved across ASD and ADHD, but severity and relationship with IQ differed.

Objectives: Attention‐deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental condition and is characterized by inattention, hyperactivity, and impulsivity. Research suggests that some populations, such as females and individuals with high intelligence quotients may be a risk for late ADHD diagnosis and subsequent treatment. Our goal is to advance our understanding of ADHD diagnosis, by examining (1) how child sex and cognitive abilities together are related to the age of diagnosis and (2) whether symptom presentation, current internalizing and externalizing symptoms, and demographic factors are related to age of diagnosis. Methods: Our analyses contained children who completed the required tests (N = 568) from a pre‐existing dataset of 1380 children with ADHD from the Province of Ontario Neurodevelopmental Disorders (POND) Network (pond‐network.ca). First, we conducted a moderation analysis with sex as the predictor, cognitive abilities as the moderator, and age of diagnosis as the outcome. Second, we conducted correlation analyses examining how symptom presentation, current internalizing and externalizing symptoms, and demographic factors are related to age of diagnosis. Results: Higher IQ was related to a later age of diagnosis. Higher hyperactive–impulsive symptoms and externalizing symptoms were related to an earlier age of diagnosis. Internalizing symptoms were trend associated with a later age of diagnosis in girls. Higher socioeconomic status and non‐White maternal ethnicity were related to later age of diagnosis. Conclusions: IQ, sex, ADHD symptomology, internalizing symptoms, externalizing symptoms, and socio‐demographic factors affect the age of diagnosis. [ABSTRACT FROM AUTHOR]

With brain structure and function undergoing complex changes throughout childhood and adolescence, age is a critical consideration in neuroimaging studies, particularly for those of individuals with neurodevelopmental conditions. However, despite the increasing use of large, consortium‐based datasets to examine brain structure and function in neurotypical and neurodivergent populations, it is unclear whether age‐related changes are consistent between datasets and whether inconsistencies related to differences in sample characteristics, such as demographics and phenotypic features, exist. To address this, we built models of age‐related changes of brain structure (regional cortical thickness and regional surface area; N = 1218) and function (resting‐state functional connectivity strength; N = 1254) in two neurodiverse datasets: the Province of Ontario Neurodevelopmental Network and the Healthy Brain Network. We examined whether deviations from these models differed between the datasets, and explored whether these deviations were associated with demographic and clinical variables. We found significant differences between the two datasets for measures of cortical surface area and functional connectivity strength throughout the brain. For regional measures of cortical surface area, the patterns of differences were associated with race/ethnicity, while for functional connectivity strength, positive associations were observed with head motion. Our findings highlight that patterns of age‐related changes in the brain may be influenced by demographic and phenotypic characteristics, and thus future studies should consider these when examining or controlling for age effects in analyses. [ABSTRACT FROM AUTHOR]

Background: Gender clinic and single‐item questionnaire‐based data report increased co‐occurrence of gender diversity and neurodevelopmental conditions. The nuances of these associations are under‐studied. We used a transdiagnostic approach, combining categorical and dimensional characterization of neurodiversity, to further the understanding of its associations with gender diversity in identity and expression in children. Methods: Data from 291 children (Autism N = 104, ADHD N = 104, Autism + ADHD N = 17, neurotypical N = 66) aged 4–12 years enrolled in the Province of Ontario Neurodevelopmental Network were analyzed. Gender diversity was measured multi‐dimensionally using a well‐validated parent‐report instrument, the Gender Identity Questionnaire for Children (GIQC). We used gamma regression models to determine the significant correlates of gender diversity among age, puberty, sex‐assigned‐at‐birth, categorical neurodevelopmental diagnoses, and dimensional neurodivergent traits (using the Social Communication Questionnaire and the Strengths and Weaknesses of ADHD Symptoms and Normal Behavior Rating Scales). Internalizing and externalizing problems were included as covariates. Results: Neither a categorical diagnosis of autism nor ADHD significantly correlated with current GIQC‐derived scores. Instead, higher early‐childhood dimensional autistic social‐communication traits correlated with higher current overall gender incongruence (as defined by GIQC‐14 score). This correlation was potentially moderated by sex‐assigned‐at‐birth: greater early‐childhood autistic social‐communication traits were associated with higher current overall gender incongruence in assigned‐males‐at‐birth, but not assigned‐females‐at‐birth. For fine‐grained gender diversity domains, greater autistic restricted‐repetitive behavior traits were associated with greater diversity in gender identity across sexes‐assigned‐at‐birth; greater autistic social‐communication traits were associated with lower stereotypical male expression across sexes‐assigned‐at‐birth. Conclusions: Dimensional autistic traits, rather than ADHD traits or categorical neurodevelopmental diagnoses, were associated with gender diversity domains across neurodivergent and neurotypical children. The association between early‐childhood autistic social‐communication traits and overall current gender diversity was most evident in assigned‐males‐at‐birth. Nuanced interrelationships between neurodivergence and gender diversity should be better understood to clarify developmental links and to offer tailored support for neurodivergent and gender‐diverse populations. [ABSTRACT FROM AUTHOR]