Systematic comparisons of different quality control approaches applied to three large pediatric neuroimaging datasets.

INTRODUCTION: Poor quality T1-weighted brain scans systematically affect the calculation of brain measures. Removing the influence of such scans requires identifying and excluding scans with noise and artefacts through a quality control (QC) procedure. While QC is critical for brain imaging analyses, it is not yet clear whether different QC approaches lead to the exclusion of the same participants. Further, the removal of poor-quality scans may unintentionally introduce a sampling bias by excluding the subset of participants who are younger and/or feature greater clinical impairment. This study had two aims: (1) examine whether different QC approaches applied to T1-weighted scans would exclude the same participants, and (2) examine how exclusion of poor-quality scans impacts specific demographic, clinical and brain measure characteristics between excluded and included participants in three large pediatric neuroimaging samples. METHODS: We used T1-weighted, resting-state fMRI, demographic and clinical data from the Province of Ontario Neurodevelopmental Disorders network (Aim 1: n = 553, Aim 2: n = 465), the Healthy Brain Network (Aim 1: n = 1051, Aim 2: n = 558), and the Philadelphia Neurodevelopmental Cohort (Aim 1: n = 1087; Aim 2: n = 619). Four different QC approaches were applied to T1-weighted MRI (visual QC, metric QC, automated QC, fMRI-derived QC). We used tetrachoric correlation and inter-rater reliability analyses to examine whether different QC approaches excluded the same participants. We examined differences in age, mental health symptoms, everyday/adaptive functioning, IQ and structural MRI-derived brain indices between participants that were included versus excluded following each QC approach. RESULTS: Dataset-specific findings revealed mixed results with respect to overlap of QC exclusion. However, in POND and HBN, we found a moderate level of overlap between visual and automated QC approaches (rtet=0.52-0.59). Implementation of QC excluded younger participants, and tended to exclude those with lower IQ, and lower everyday/adaptive functioning scores across several approaches in a dataset-specific manner. Across nearly all datasets and QC approaches examined, excluded participants had lower estimates of cortical thickness and subcortical volume, but this effect did not differ by QC approach. CONCLUSION: The results of this study provide insight into the influence of QC decisions on structural pediatric imaging analyses. While different QC approaches exclude different subsets of participants, the variation of influence of different QC approaches on clinical and brain metrics is minimal in large datasets. Overall, implementation of QC tends to exclude participants who are younger, and those who have more cognitive and functional impairment. Given that automated QC is standardized and can reduce between-study differences, the results of this study support the potential to use automated QC for large pediatric neuroimaging datasets.

Cortical Gyrification Morphology in ASD and ADHD: Implication for Further Similarities or Disorder-Specific Features?

Shared etiological pathways are suggested in ASD and ADHD given high rates of comorbidity, phenotypic overlap and shared genetic susceptibility. Given the peak of cortical gyrification expansion and emergence of ASD and ADHD symptomology in early development, we investigated gyrification morphology in 539 children and adolescents (6-17 years of age) with ASD (n=197) and ADHD (n=96) compared to typically developing controls (n=246) using the local Gyrification Index (lGI) to provide insight into contributing etiopathological factors in these two disorders. We also examined IQ effects and functional implications of gyrification by exploring the relation between lGI and ASD and ADHD symptomatology beyond diagnosis. General Linear Models yielded no group differences in lGI, and across groups, we identified an age-related decrease of lGI and greater lGI in females compared to males. No diagnosis-by-age interactions were found. Accounting for IQ variability in the model (n=484) yielded similar results. No significant associations were found between lGI and social communication deficits, repetitive and restricted behaviours, inattention or adaptive functioning. By examining both disorders and controls using shared methodology, we found no evidence of atypicality in gyrification as measured by the lGI in these conditions.

Stepping up to COVID-19: A Clinical Trial of a Telepsychology Positive Parenting Program Targeting Behavior Problems in Children With Neurological Risk.

OBJECTIVE: To evaluate the feasibility, acceptability, and preliminary efficacy of a stepped-care parenting program implemented during COVID-19 among families of behaviorally at-risk children with neurological or neurodevelopmental disorders aged 3-9 years. METHODS: Stepped-care I-InTERACT-North increased psychological support across 3 steps, matched to family needs: (1) guided self-help (podcast), (2) brief support, and (3) longer-term parent support. The intervention was provided by clinicians at The Hospital for Sick Children. Recruitment occurred via hospital and research cohort referral. A single-arm trial using a pragmatic prospective pre-post mixed-method design was utilized to assess accrual, engagement, acceptability, and preliminary efficacy. RESULTS: Over 15 months, 68 families enrolled (83% consent rate) and 56 families completed stepped-care (Step 1 = 56; Step 2 = 39; Step 3 = 28), with high adherence across Steps (100%, 98%, and 93%, respectively). Parents reported high acceptability, reflected in themes surrounding accessibility, comprehension, effectiveness, and targeted care. Positive parenting skill increases were documented, and robust improvement in child behavior problems was apparent upon Step 3 completion (p =.001, d = .390). Stepped-care was as effective as traditional delivery, while improving consent and completion rates within a pandemic context. CONCLUSIONS: This stepped-care telepsychology parenting program provides a compelling intervention model to address significant gaps in accessible mental health intervention while simultaneously balancing the need for efficient service. Findings inform program scalability beyond COVID-19 and emphasize the value of stepped-care intervention in delivering and monitoring mental health treatment.

Facial emotion recognition in children and youth with attention-deficit/hyperactivity disorder and irritability.

The ability to recognize emotions evident in people's faces contributes to social functioning and might be affected by ADHD and irritability. Given their high co-occurrence, we examined the relative contribution of ADHD and irritability to facial emotion recognition (FER). We hypothesized that irritability but not ADHD traits would predict increased likelihood of misrecognizing emotions as negative, and that FER performance would explain the association of ADHD and irritability traits with social skills. FER was measured using the Reading the Mind in the Eyes Test (RMET) in children (6-14 years old) referred for ADHD assessment (n = 304) and healthy controls (n = 128). ADHD, irritability and social skills were measured using parent ratings. We used repeated measure logistics regression, comparing the effects across emotion valence of images (i.e., neutral/positive/negative). High irritability but not ADHD diagnosis predicted lower RMET accuracy. ADHD traits predicted lower RMET accuracy in younger but not older participants, whereas irritability predicted poorer accuracy at all ages. ADHD traits predicted lower RMET accuracy across all emotion valences, whereas irritability predicted increased probability of misrecognizing neutral and positive but not negative emotions. Irritability did not increase the probability for erroneously recognizing emotions as negative. ADHD and irritability traits fully explained the association between RMET and social skills. ADHD and irritability traits might impact the ability to identify emotions portrayed in faces. However, irritability traits appear to selectively impair recognition of neutral and positive but not negative emotions. ADHD and irritability are important when examining the link between FER and social difficulties.

The Distinction Between Social Connectedness and Support When Examining Depressive Symptoms Among Children and Adolescents During the COVID-19 Pandemic.

Childhood depression is associated with significant social and functional impairment, suicide risk, and persistence throughout adulthood. Recent evidence demonstrates that social connectedness and social support may serve as protective factors against the development of depression. The current study aimed to examine the effect of change in social connectedness and social support on depressive symptoms among children and adolescents during the COVID-19 pandemic. Hierarchical regression was performed. Results indicated that parent-reported measures of change in social connectedness were inversely associated with depressive symptom severity, and could significantly predict future depressive symptom severity. In contrast, parent-reported measures of social support (i.e., from family and friends) did not significantly predict future depressive symptom severity. The presence of a pre-COVID psychiatric and/or neurodevelopmental diagnosis and baseline depressive symptom severity were also important factors associated with future depressive symptom severity. The findings suggest that an awareness of the presence of social supports (i.e., family or friends) is not sufficient for children to feel connected, but rather the mechanisms of social relationships are crucial. As our approach to public health restrictions evolves, the risk transmission of COVID-19 should be carefully balanced with the risks associated with decreased connectedness among youth.

Amygdala subnuclei volumes and anxiety behaviors in children and adolescents with autism spectrum disorder, attention deficit hyperactivity disorder, and obsessive-compulsive disorder.

Alterations in the structural maturation of the amygdala subnuclei volumes are associated with anxiety behaviors in adults and children with neurodevelopmental and associated disorders. This study investigated the relationship between amygdala subnuclei volumes and anxiety in 233 children and adolescents (mean age = 11.02 years; standard deviation = 3.17) with autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), and children with obsessive compulsive disorder (OCD), as well as typically developing (TD) children. Parents completed the Child Behavior Checklist (CBCL), and the children underwent structural MRI at 3 T. FreeSurfer software was used to automatically segment the amygdala subnuclei. A general linear model revealed that children and adolescents with ASD, ADHD, and OCD had higher anxiety scores compared to TD children (p < .001). A subsequent interaction analysis revealed that children with ASD (B = 0.09, p < .0001) and children with OCD (B = 0.1, p < .0001) who had high anxiety had larger right central nuclei volumes compared with TD children. Similar results were obtained for the right anterior amygdaloid area. Amygdala subnuclei volumes may be key to identifying children with neurodevelopmental disorders or those with OCD who are at high risk for anxiety. Findings may inform the development of targeted behavioral interventions to address anxiety behaviors and to assess the downstream effects of such interventions.

Characterizing the ASD-ADHD phenotype: measurement structure and invariance in a clinical sample.

BACKGROUND: Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) have considerable overlap, supporting the need for a dimensional framework that examines neurodevelopmental domains which cross traditional diagnostic boundaries. In the following study, we use factor analysis to deconstruct the ASD-ADHD phenotype into its underlying phenotypic domains and test for measurement invariance across adaptive functioning, age, gender and ASD/ADHD clinical diagnoses. METHODS: Participants included children and youth (aged 3-20 years) with a clinical diagnosis of ASD (n = 727) or ADHD (n = 770) for a total of 1,497 participants. Parents of these children completed the Social Communication Questionnaire (SCQ), a measure of autism symptoms, and the Strengths and Weaknesses of ADHD and Normal Behaviour (SWAN) questionnaire, a measure of ADHD symptoms. An exploratory factor analysis (EFA) was performed on combined SCQ and SWAN items. This was followed by a confirmatory factor analysis (CFA) and tests of measurement invariance. RESULTS: EFA revealed a four-factor solution (inattention, hyperactivity/impulsivity, social-communication, and restricted, repetitive, behaviours and interests (RRBI)) and a CFA confirmed good model fit. This solution also showed good model fit across subgroups of interest. CONCLUSIONS: Our study shows that a combined ASD-ADHD phenotype is characterized by two latent ASD domains (social communication and RRBIs) and two latent ADHD domains (inattention and hyperactivity/impulsivity). We established measurement invariance of the derived measurement model across adaptive functioning, age, gender and ASD/ADHD diagnoses.

Mostly worse, occasionally better: impact of COVID-19 pandemic on the mental health of Canadian children and adolescents.

This large cross-sectional study examined the impact of COVID-19 emergency measures on child/adolescent mental health for children/adolescents with and without pre-existing psychiatric diagnoses. Using adapted measures from the CRISIS questionnaire, parents of children aged 6-18 (N = 1013; 56% male; 62% pre-existing psychiatric diagnosis) and self-reporting children/adolescents aged 10-18 (N = 385) indicated changes in mental health across six domains: depression, anxiety, irritability, attention, hyperactivity, and obsessions/compulsions. Changes in anxiety, irritability, and hyperactivity were calculated for children aged 2-5 years using the Strengths and Difficulties Questionnaire. COVID-19 exposure, compliance with emergency measures, COVID-19 economic concerns, and stress from social isolation were measured with the CRISIS questionnaire. Prevalence of change in mental health status was estimated for each domain; multinomial logistic regression was used to determine variables associated with mental health status change in each domain. Depending on the age group, 67-70% of children/adolescents experienced deterioration in at least one mental health domain; however, 19-31% of children/adolescents experienced improvement in at least one domain. Children/adolescents without and with psychiatric diagnoses tended to experience deterioration during the first wave of COVID-19. Rates of deterioration were higher in those with a pre-exiting diagnosis. The rate of deterioration was variable across different age groups and pre-existing psychiatric diagnostic groups: depression 37-56%, anxiety 31-50%, irritability 40-66%, attention 40-56%, hyperactivity 23-56%, obsessions/compulsions 13-30%. Greater stress from social isolation was associated with deterioration in all mental health domains (all ORs 11.12-55.24). The impact of pre-existing psychiatric diagnosis was heterogenous, associated with deterioration in depression, irritability, hyperactivity, obsession/compulsions for some children (ORs 1.96-2.23) but also with improvement in depression, anxiety, and irritability for other children (ORs 2.13-3.12). Economic concerns were associated with improvement in anxiety, attention, and obsessions/compulsions (ORs 3.97-5.57). Children/adolescents with and without pre-existing psychiatric diagnoses reported deterioration. Deterioration was associated with increased stress from social isolation. Enhancing social interactions for children/adolescents will be an important mitigation strategy for current and future COVID-19 waves.

Mental health profiles of autistic children and youth during the COVID-19 pandemic.

Objectives: Canadian province-wide lockdowns have challenged children's mental health (MH) during the COVID-19 pandemic, with autistic children being at particular risk. The purpose of our study was to identify sub-groups of autistic children with distinct mental health change profiles, to understand the child-, parent-, and system-specific factors associated with such profiles in order to ultimately inform future interventions. Methods: Data were drawn from a large Canadian cohort (N=1,570) across Ontario, resulting in 265 autistic children (mean age=10.9 years, 76% male). K-means clustering analyses were employed to partition distinct MH profiles in six MH measures (mood, anxiety, OCD symptoms, irritability, inattention, hyperactivity) and group differences were examined with reference to the above factors. Additionally, we investigated the characteristics of children who accessed acute MH services. Results: The optimal number of clusters was two; one included those experiencing MH deterioration across all six MH measures (61.3%, 95% confidence interval [CI]=54.9 to 67.4), and a second included youth that did not experience MH changes (38.7%, 95%CI=32.6 to 45.1). Child-specific factors associated with MH deterioration included higher pre-existing internalizing symptoms, high levels of COVID stress. Parental MH challenges and system-specific factors, such as the loss of learning supports, access to physicians and material deprivation, were also associated with MH deterioration. Access to acute MH services were primarily associated with financial insecurity and loss of services. Conclusions: More than half of autistic children experienced MH deterioration, and person-specific (pre-existing MH, COVID related stress), parent-specific (Parent MH) and system-level (loss of services and material deprivation) characteristics were associated with such decline, providing clinical and policy opportunities for intervention at multiple levels.

School and learning contexts during the COVID-19 pandemic: Implications for child and youth mental health.

Despite significant disruption to school during the COVID-19 pandemic, research on the impact on children is sparse. This study examines in-person and virtual learning contexts and the impact of school format on mental health (MH). Children and adolescents were recruited from community and clinical settings. Parents and children completed prospective online surveys about school experiences (November 2020) and MH symptoms (February/March 2021), including school format and activities. Standardized measures of depression, anxiety, inattention, and hyperactivity were collected. Hierarchical regression analyses tested associations between school format and MH. Children (N = 1011; aged 6-18 years) attending school in-person (n = 549) engaged in high levels of participation in COVID-19 health measures and low levels of social learning activities. Learning online in high school was associated with greater MH symptoms (B = -2.22, CI[-4.32,-.12] to B = -8.18, CI[-15.59,-.77]). Children with no previous MH condition that attended school virtually experienced a similar magnitude of MH symptoms as those with previous MH conditions. However, children who attended school in a hybrid in-person format, with no previous MH condition, experienced less hyperactivity as same-age peers with prior MH problems (B = -8.08, CI[1.58,14.58]). Children's learning environments looked very different compared to before the pandemic. Removing children from school environments and limiting opportunities that support their MH, such as social learning activities, is problematic. Efforts to address the learning contexts to protect the mental health of children are needed.

Sex Differences in Age of Diagnosis and First Concern among Children with Autism Spectrum Disorder.

OBJECTIVE: Early identification of autism spectrum disorder (ASD) is an essential healthcare priority. Girls may be at risk for late diagnosis, although research is equivocal regarding how sex and other factors relate to ASD identification. The goals of the current investigation were to (1) identify how child sex, cognitive abilities, and demographic factors relate to age of first concern (AOC) and age of diagnosis (AOD), (2) evaluate trends in AOC/AOD over time, and (3) consider whether main effects of sex on AOC/AOD are moderated by cognitive abilities or time. METHOD: Children (N = 365; 20% female; 85.6% identified as White) with ASD participated through the Province of Ontario Neurodevelopmental Disorders (POND) Network. Study records included AOD, date/timing of diagnosis (between 1996 and 2017), age of first parent concern, demographics, and standardized cognitive testing results (24.7% of children had IQ scores below standard scores of 70). RESULTS: Average AOC occurred before 2 years of age whereas average AOD occurred after 5 years of age. Girls did not differ on AOC but had a later AOD than boys. Higher verbal IQ was associated with later AOD more strongly in girls than boys. Regarding time-related changes, average AOC and AOD increased across the study period, more strongly for girls. CONCLUSIONS: Results support that sex is a key factor underlying delays in ASD identification and highlight the urgent need to improve diagnostic practices among girls. Limitations and implications for improving the diagnostic process are discussed.Abbreviations: ASD=autism spectrum disorder; IQ=intelligence quotient; AOC=parental report of age of first concern; AOD=age of diagnosis.

Vulnerability pathways to mental health outcomes in children and parents during COVID-19.

We examined pathways from pre-existing psychosocial and economic vulnerability to mental health difficulties and stress in families during the COVID-19 pandemic. Data from two time points from a multi-cohort study initiated during the COVID-19 pandemic were used. Parents of children 6-18 years completed questionnaires on pre-COVID-19 socioeconomic and demographic factors in addition to material deprivation and stress due to COVID-19 restrictions, mental health, and family functioning. Youth 10 years and older also completed their own measures of mental health and stress. Using structural equation modelling, pathways from pre-existing vulnerability to material deprivation and stress due to COVID-19 restrictions, mental health, and family functioning, including reciprocal pathways, were estimated. Pre-existing psychosocial and economic vulnerability predicted higher material deprivation due to COVID-19 restrictions which in turn was associated with parent and child stress due to restrictions and mental health difficulties. The reciprocal effects between increased child and parent stress and greater mental health difficulties at Time 1 and 2 were significant. Reciprocal effects between parent and child mental health were also significant. Finally, family functioning at Time 2 was negatively impacted by child and parent mental health and stress due to COVID-19 restrictions at Time 1. Psychosocial and economic vulnerability is a risk factor for material deprivation during COVID-19, increasing the risk of mental health difficulties and stress, and their reciprocal effects over time within families. Implications for prevention policy and parent and child mental health services are discussed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12144-021-02459-z.

Molecular characterization of NRXN1 deletions from 19,263 clinical microarray cases identifies exons important for neurodevelopmental disease expression.

PURPOSE: The purpose of the current study was to assess the penetrance of NRXN1 deletions. METHODS: We compared the prevalence and genomic extent of NRXN1 deletions identified among 19,263 clinically referred cases to that of 15,264 controls. The burden of additional clinically relevant copy-number variations (CNVs) was used as a proxy to estimate the relative penetrance of NRXN1 deletions. RESULTS: We identified 41 (0.21%) previously unreported exonic NRXN1 deletions ascertained for developmental delay/intellectual disability that were significantly greater than in controls (odds ratio (OR) = 8.14; 95% confidence interval (CI): 2.91-22.72; P < 0.0001). Ten (22.7%) of these had a second clinically relevant CNV. Subjects with a deletion near the 3' end of NRXN1 were significantly more likely to have a second rare CNV than subjects with a 5' NRXN1 deletion (OR = 7.47; 95% CI: 2.36-23.61; P = 0.0006). The prevalence of intronic NRXN1 deletions was not statistically different between cases and controls (P = 0.618). The majority (63.2%) of intronic NRXN1 deletion cases had a second rare CNV at a prevalence twice as high as that for exonic NRXN1 deletion cases (P = 0.0035). CONCLUSIONS: The results support the importance of exons near the 5' end of NRXN1 in the expression of neurodevelopmental disorders. Intronic NRXN1 deletions do not appear to substantially increase the risk for clinical phenotypes.Genet Med 19 1, 53-61.

The Effect of Screen Time and Positive School Factors in the Pathway to Child and Youth Mental Health Outcomes.

Beyond achievement, educational settings offer informal supports that may be critical for child and youth mental health. However, children's educational environments have experienced significant disruption with the coronavirus pandemic. School settings offer unique opportunities to support children's mental health, but research must identify powerful points of intervention. This study examined school factors (aspirations, perceived competence, sense of belonging, and emotional engagement) as predictors of children's mental health, and the potential consequences of increasing screen time in and outside of school. Participants (N = 707) were parents and their children (6-18 years) from community and clinical settings who completed prospective surveys about children's school experiences and mental health symptoms (November 2020-May 2022). Standardized measures of depression, anxiety, irritability, inattention, and hyperactivity were collected. Structural equation modelling tested longitudinal associations between screen time, school factors, and mental health outcomes. Positive associations between each of the school factors (B = 0.14 [SE = 0.04] to B = 0.43 [SE = 0.04]) suggested they may reinforce one another. Longitudinally, sense of belonging and emotional engagement at school predicted lower severity for symptoms of depression, anxiety, irritability, and inattention (B=-0.14 [SE = 0.07] to B =-0.33 [SE = 0.10]). Greater screen time was associated with lower aspirations and perceived competence (B = - 0.08 [SE = 0.04] to B = - 0.13 [SE = 0.06]). Results suggest that school factors beyond achievement may be key correlates of child and youth mental health. While curriculum expectations emphasize academic achievement, an investment in supporting positive attitudes and aspirations at school is also warranted.

Predictors of health-related quality of life for children with neurodevelopmental conditions.

Neurodevelopmental conditions can be associated with decreased health-related quality of life; however, the predictors of these outcomes remain largely unknown. We characterized the predictors of health-related quality of life (HRQoL) in a sample of neurodiverse children and youth. We used a cross-sectional subsample from the Province of Ontario Neurodevelopmental Disorders Network (POND) consisting of those children and young people in the POND dataset with complete study data (total n = 615; 31% female; age: 11.28 years ± 2.84 years). Using a structural equation model, we investigated the effects of demographics (age, sex, socioeconomic status), core features (Social Communication Questionnaire, Toronto Obsessive Compulsive Scale, Strengths and Weaknesses of attention deficit/hyperactivity disorder (ADHD)-symptoms and Normal Behavior), co-occurring symptoms (Child Behaviour Checklist), and adaptive functioning (Adaptive Behaviour Assessment System) on HRQoL (KINDL). A total of 615 participants had complete data for this study (autism = 135, ADHD = 273, subthreshold ADHD = 7, obsessive-compulsive disorder (OCD) = 38, sub-threshold OCD = 1, neurotypical = 161). Of these participants, 190 (31%) identified as female, and 425 (69%) identified as male. The mean age was 11.28 years ± 2.84 years. Health-related quality of life was negatively associated with co-occurring symptoms (B = - 0.6, SE = 0.20, CI (- 0.95, - 0.19), p = 0.004)) and age (B = - 0.1, SE = 0.04, CI (- 0.19, - 0.01), p = 0.037). Fewer co-occurring symptoms were associated with higher socioeconomic status (B = - 0.5, SE = - 0.05, CI (- 0.58, - 0.37), p < 0.001). This study used a cross-sectional design. Given that one's experiences, needs, supports, and environment and thus HrQoL may change significantly over the lifespan and a longitudinal analysis of predictors is needed to capture these changes. Future studies with more diverse participant groups are needed. These results demonstrate the importance of behavioural and sociodemographic characteristics on health-related quality of life across neurodevelopmental conditions.

The trajectory of depression and anxiety among children and adolescents over two years of the COVID-19 pandemic.

Longitudinal research examining children's mental health (MH) over the course of the COVID-19 pandemic is scarce. We examined trajectories of depression and anxiety over two pandemic years among children with and without MH disorders. Parents and children 2-18 years completed surveys at seven timepoints (April 2020 to June 2022). Parents completed validated measures of depression and anxiety for children 8-18 years, and validated measures of emotional/behavioural symptoms for children 2-7 years old; children ≥10 years completed validated measures of depression and anxiety. Latent growth curve analysis determined depression and anxiety trajectories, accounting for demographics, child and parent MH. Data were available on 1315 unique children (1259 parent-reports; 550 child-reports). Trajectories were stable across the study period, however individual variation in trajectories was statistically significant. Of included covariates, only initial symptom level predicted symptom trajectories. Among participants with pre-COVID data, a significant increase in depression symptoms relative to pre-pandemic levels was observed; children and adolescents experienced elevated and sustained levels of depression and anxiety during the two-year period. Findings have direct policy implications in the prioritization and of maintenance of educational, recreational, and social activities with added MH supports in the face of future events.

Brain-Charting Autism and Attention-Deficit/Hyperactivity Disorder Reveals Distinct and Overlapping Neurobiology.

BACKGROUND: Autism and attention-deficit/hyperactivity disorder (ADHD) are heterogeneous neurodevelopmental conditions with complex underlying neurobiology that is still poorly understood. Despite overlapping presentation and sex-biased prevalence, autism and ADHD are rarely studied together and sex differences are often overlooked. Population modeling, often referred to as normative modeling, provides a unified framework for studying age-specific and sex-specific divergences in brain development. METHODS: Here, we used population modeling and a large, multisite neuroimaging dataset (N = 4255 after quality control) to characterize cortical anatomy associated with autism and ADHD, benchmarked against models of average brain development based on a sample of more than 75,000 individuals. We also examined sex and age differences and relationship with autistic traits and explored the co-occurrence of autism and ADHD. RESULTS: We observed robust neuroanatomical signatures of both autism and ADHD. Overall, autistic individuals showed greater cortical thickness and volume that was localized to the superior temporal cortex, whereas individuals with ADHD showed more global increases in cortical thickness but lower cortical volume and surface area across much of the cortex. The co-occurring autism+ADHD group showed a unique pattern of widespread increases in cortical thickness and certain decreases in surface area. We also found that sex modulated the neuroanatomy of autism but not ADHD, and there was an age-by-diagnosis interaction for ADHD only. CONCLUSIONS: These results indicate distinct cortical differences in autism and ADHD that are differentially affected by age and sex as well as potentially unique patterns related to their co-occurrence.

Survey results on training in developmental disabilities in Canadian psychiatry residency programs.

Objective: Mental health problems in children, adolescents, and adults with developmental disabilities (DD) are an underserviced clinical area. Although the Royal College of Physicians and Surgeons of Canada requires that experiences with patients with DD must be included during psychiatry residency training, the type and extent of this experience is not specified. The purpose of this study was to examine the current educational opportunities regarding DD in Canadian psychiatry residency programs. Methods: A survey asking about training in DD was sent to psychiatry residency directors at all 17 medical schools in Canada. The survey consisted of three sections focused on didactic teaching and clinical rotations (required and elective) in DD for residents. Results: Program directors of all psychiatry residency programs noted that their program included didactic teaching specific to DD, although the time dedicated to this differed greatly, ranging from 2 to 20 hours. Although 13 programs offered electives in DD, only five programs required residents to complete a clinical rotation specific to DD. Two programs did not have required or elective rotations in DD. Conclusion: These results suggest that training specific to DD is probably inadequate for most residents. This is likely to result in limitations in knowledge and skills required to assess and treat people with DD, decreased comfort working with them, and ultimately reduced quality and availability of psychiatric care for this underserved population. More specific and comprehensive training requirements and opportunities are needed to ensure that residents receive appropriate training in this area.

Objectif: Les problèmes de santé mentale chez les enfants, les adolescents et les adultes souffrant de troubles du développement (TD) sont un domaine clinique sous-desservi. Bien que le Collège royal des médecins et chirurgiens du Canada exige que des expériences auprès de patients souffrant de TD doivent être incluses durant la formation de résidence en psychiatrie, le type et la durée de cette expérience ne sont pas spécifiés. La présente étude visait à examiner les possibilités éducatives actuelles en ce qui concerne les TD dans les programmes canadiens de résidence en psychiatrie. Méthodes: Un sondage portant sur la formation en TD a été envoyé aux directeurs de résidence en psychiatrie de 17 facultés de médecine du Canada. Le sondage consistait en trois sections axées sur l'enseignement didactique et les stages cliniques (obligatoires et facultatifs) en TD pour les résidents. Résultats: Les directeurs de tous les programmes de résidence en psychiatrie ont noté que leur programme incluait l'enseignement didactique propre aux TD, bien que le temps consacré à cette fin diffère grandement, variant de 2 à 20 heures. Même si 13 programmes offraient des stages facultatifs en TD, seulement 5 programmes exigeaient des résidents de suivre un stage clinique propre aux TD. Deux programmes n'avaient pas de stage obligatoire ou facultatif en TD. Conclusion: Ces résultats suggèrent que la formation propre aux TD est probablement inadéquate pour la plupart des résidents. Il est probable qu'il en résulte des limitations des connaissances et des compétences nécessaires pour évaluer et traiter les personnes souffrant de TD, moins d'aisance à travailler avec elles et enfin, une qualité et une disponibilité réduites des soins psychiatriques pour cette population sous-desservie. De exigences et des possibilités de formation plus spécifiques et détaillées sont nécessaires pour faire en sorte que les résidents reçoivent une formation appropriée en ce domaine.

Exploring the association between social skills struggles and social communication difficulties and depression in youth with autism spectrum disorder.

Autism spectrum disorder is characterized by social communication difficulties and social skills abilities that are significantly differ from neurotypical populations as well as restricted and repetitive behaviors and interests. Furthermore, many autistic youth experience co-occurring conditions, with one of the most common being depression. This depression is suggested to be, in part, the result of the relative social isolation experienced by autistic youth. Therefore, it is important to examine social functioning differences in autistic youth and their association with depression. There has been limited research investigating the association between social communication difficulties and depression, or the association between social skills struggles and depression, and no research investigating both of these in the same population. We found that social communicative symptoms of autism (as measured by the Autism Diagnostic Observation Schedule) were not associated with depression scores (as measured by the Revised Checklist for Anxiety and Depression) after controlling for age, sex, and IQ. In contrast, we did find a significant association between social skills struggles (as measured by the Adaptive Behavior Assessment System-2) and depression in the same sample. Higher social skills struggles were associated with higher depression scores after controlling for age, sex, and IQ. Reasons for the potential discrepancy between these findings are discussed, and clinical implications of these findings are explored.