Recognising and responding to physical and mental health issues in neurodivergent girls and women

People experience life and interact with others in many ways. The term 'neurodivergence' refers to variations from what is considered typical. Research and education into conditions that cooccur with neurodivergence are essential in shaping clinicians' approaches to people who may present with a wide range of symptoms. Neurodivergence may influence a person's style of communication, learning, attitudes, and behaviour, and they often experience inequity and rejection. This review highlights the huge burden of cooccurring conditions carried by neurodivergent women and girls whose medical issues have largely gone under the radar. We suggest how clinicians might increase their awareness of diagnosis and management of their problems with mutual benefit.

ASD and ADHD: Divergent activating patterns of prefrontal cortex in executive function tasks?

The functional Near-infrared Spectroscopy (fNIRS) has been more and more widely used to measure the activation state of prefrontal cortex when performing function-related tasks among children with various developmental disorders. Children with autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) have shown obvious executive function defects. We aimed to summarize the studies with fNIRS, to summarize the activation patterns of prefrontal cortex (PFC) of participants with ASD or ADHD in performing functional tasks. We selected 630 articles according to PRISMA guidelines, and the eligibility criteria were: 6-16 years old individuals diagnosed with ASD or ADHD by DSM-4 or 5, using fNIRS, having executive function (EF) task, typical development (TD) control, and between-group comparison of PFC activation. Eleven studies were finally included in the quantitative analysis, and compared to TD, ASD and ADHD showed the opposite PFC activation patterns during n-back tasks. We discussed the task-specific PFC activation in young participants with ASD and ADHD, and provided some new ideas on that issue.

The role of irrational beliefs in the relationship between attention deficit hyperactivity disorder (ADHD) symptoms and disordered eating in two general student samples

Attention deficit hyperactivity disorder (ADHD) symptoms are associated with disordered eating and negative mood. The purpose of this study was to examine whether irrational beliefs mediate this relationship along with previously reported mediators such as depression and impulsivity. Irrational beliefs trigger negative automatic thoughts which are believed, in cognitive behavior therapies, to be a source of psychopathology. Challenges brought about by symptoms of ADHD may lead to habitual emotion-eliciting thought patterns which, in turn, could lead to negative mood and disordered eating. Undergraduate students (N = 127) completed online questionnaires assessing ADHD symptoms and disordered eating and several potential mediators including irrational beliefs, depression, impulsivity, interoceptive accuracy, and reward responsiveness. The results, which were replicated in a second study (N = 254), indicated that irrational beliefs and depression mediated the relationship between ADHD symptoms and disordered eating. In the second study, impulsivity due to negative urgency was also a mediator. These findings support the theory that the symptoms of ADHD lead to enhancement of irrational beliefs, depression, and negative urgency which are linked to disordered eating.

Entrepreneurial mental health in the wake of COVID-19 in China with an emphasis on attention deficit hyperactivity disorder (ADHD) and dyslexia analysis

The COVID-19 pandemic has precipitated a global mental health crisis, with a particularly pronounced impact on the entrepreneurial sector. This paper presents a comparative analysis of mental health challenges among entrepreneurs in China during the pandemic, with a specific focus on attention deficit hyperactivity disorder (ADHD) and Dyslexia. The study assesses the prevalence of ADHD and dyslexia symptoms among established and emerging entrepreneurs in China, finding notable occurrences within this group. The research also examines the self-care practices of these entrepreneurs, shedding light on their approaches during the pandemic period. The findings highlight a complex interplay between mental health issues and entrepreneurial activities, suggesting that certain ADHD and dyslexia traits may offer unexpected benefits in the entrepreneurial realm. These insights are critical for developing supportive frameworks that leverage the strengths of neurodiverse entrepreneurs while mitigating associated challenges, especially in a post-pandemic economic landscape. The study concludes with policy and practice recommendations to bolster the wellbeing and resilience of entrepreneurs facing the multifaceted impacts of the pandemic.

Effect of School Closure During COVID-19 Lockdown on ADHD Symptoms Among Students

Background

Attention deficit hyperactivity disorder (ADHD) is the most common neurobehavioral disorder among children, with an estimated prevalence of 1.3 per 1000 in India. The nationwide lockdown imposed due to the COVID-19 pandemic has led to the closure of schools for an indefinite period. After the reopening of schools, the lockdown period was feared to have caused a deterioration in symptoms of existing mental health conditions among school-going children. This field study aimed to probe the association of school closures due to lockdown with any change in symptoms of ADHD in aged 6-15 years in the largest tertiary care hospital in Kolkata.

Methods

A longitudinal observational study was conducted involving 34 prediagnosed ADHD patients attending the Clinical Psychology outpatient department (OPD) of a tertiary hospital for follow-up. Data was collected by face-to-face interviews with the patients' parents using a predesigned, pretested structured study schedule. Conners' Parent Rating Scale (CPRS) was used to assess the ADHD symptoms.

Results

Twenty-three (67.65%) patients were observed to have worsened ADHD symptoms after lockdown. Significant worsening was observed in the ADHD indicator and the mood disorder indicator. Significant contributing factors were rural residence, nuclear family, non-attendance at school, and knowledge inadequacy among parents.

Conclusion

There was a significant worsening of symptoms of ADHD owing to the school closure due to the lockdown.

Impaired segregation of the attention deficit hyperactivity disorder related pattern in children

BACKGROUND

Inattention is a key characteristic of attention deficit hyperactivity disorder (ADHD). Specific brain abnormalities associated with this symptom form a discernible pattern related with ADHD in children (i.e., ADHD related pattern) in our earlier research. The developmental processes of segregation and integration may be crucial to ADHD. However, how brains reconfigure these processes of the ADHD related pattern in different subtypes of ADHD and across sexes remain unclear.

METHODS

Nested-spectral partition method was applied to identify effects of subtype and sex on segregation and integration of the ADHD related pattern, using 145 ADHD patients and 135 typically developing controls (TDC) aged 7-14. Relationships between the measures and inattention symptoms were also investigated.

RESULTS

Children with ADHD exhibited lower segregation of the ADHD related pattern (p = 1.17 × 10-8) than TDCs. Only the main effect of subtype was significant (p = 1.14 × 10-5). Both ADHD-C (p = 2.16 × 10-6) and ADHD-I (p = 2.87 × 10-6) patients had lower segregation components relative to the TDC. Moreover, segregation components were negatively correlated with inattention scores.

CONCLUSIONS

This study identified impaired segregation in the ADHD related pattern of children with ADHD and found shared neural bases among different subtypes and sexes.

Exposure to chlorpyrifos and pyrethroid insecticides and symptoms of Attention Deficit Hyperactivity Disorder (ADHD) in preschool children from the Odense Child Cohort

BACKGROUND

Attention Deficit Hyperactivity Disorder (ADHD) is a common childhood psychiatric disorder with severe and lifelong impact on mental health and socioeconomic achievements. Environmental factors may play a role in the increasing incidens rates. Previous studies on associations between prenatal and childhood exposure to organophosphate and pyrethroid insecticides and ADHD symptoms have yielded mixed findings.

OBJECTIVES

To investigate associations between prenatal and childhood exposure to chlorpyrifos and pyrethroids and ADHD symptoms in 5-year-old children from the Odense Child Cohort.

METHODS

Spot urine samples from pregnant women in gestational week 28 (n = 614) and offspring at 5 years of age (n = 814) were collected and analyzed for the specific metabolite of chlorpyrifos, TCPY (3,5,6-trichloro-2-pyridinol), as well as the generic pyrethroid metabolite, 3-PBA (3-phenoxybenzoic acid). Offspring ADHD symptoms were assessed at age 5 years using the parent reported "ADHD scale" from the "Child Behavior Checklist 1½-5" (n = 1114). Associations between insecticide exposure variables and an ADHD score ≥90th percentile were analyzed using logistic regression for all children and stratified by sex.

RESULTS

Most pregnant women had detectable concentrations of 3-PBA (93%) and TCPY (91%) with median concentrations of 0.20 μg/L and 1.62 μg/L, respectively. In children, 3-PBA and TCPY concentrations were detectable in 88% and 82% of the samples, and the median concentrations were 0.17 and 1.16 μg/L. No statistically significant associations were observed between insecticide metabolites and an ADHD score ≥90th percentile at age 5.

CONCLUSION

In this relatively large Danish birth cohort study with mainly low dietary insecticide exposure, we found no statistically significant associations between prenatal or childhood exposure to chlorpyrifos or pyrethroids, and excess ADHD-symptom load, in 5-year-old children. Prospective studies with multiple urine samples across vulnerable windows of neurodevelopment is warranted to improve assessment of safe exposure levels, which is particularly relevant for pyrethroids, since their use is increasing.

The effects of phenylalanine and tyrosine levels on dopamine production in rat PC12 cells. Implications for treatment of phenylketonuria, tyrosinemia type 1 and comorbid neurodevelopmental disorders

Phenylketonuria (PKU) is an autosomal recessive metabolic disorder caused by mutations in the phenylalanine hydroxylase (PAH) gene, resulting in phenylalanine accumulation and impaired tyrosine production. In Tyrosinemia type 1 (TYRSN1) mutations affect fumarylacetoacetate hydrolase, leading to accumulation of toxic intermediates of tyrosine catabolism. Treatment of TYRSN1 with nitisinone results in extreme tissue levels of tyrosine. Although PKU and TYRSN1 have opposite effects on tyrosine levels, both conditions have been associated with neuro-psychiatric symptoms typically present in ADHD, possibly indicating an impaired dopamine (DA) synthesis. However, concrete in vivo data on the possible molecular basis for disrupted DA production under disease mimicking conditions have been lacking. In pursuit to uncover associated molecular mechanisms, we exposed an established, DA producing cell line (PC12) to different concentrations of phenylalanine and tyrosine in culture media. We measured the effects on viability, proteomic composition, tyrosine, DA and tyrosine hydroxylase (TH) levels and TH phosphorylation. TH catalyzes the rate-limiting step in DA synthesis. High extracellular levels of phenylalanine depleted cells of intracellular tyrosine and DA. Compared to physiological levels (75 μM), either low (35 μM) or high concentrations of tyrosine (275 or 835 μM) decreased cellular DA, TH protein, and its phosphorylation levels. Using deep proteomic analysis, we identified multiple proteins, biological processes and pathways that were altered, including enzymes and transporters involved in amino acid metabolism. Using this information and published data, we developed a mathematical model to predict how extracellular levels of aromatic amino acids can affect the cellular synthesis of DA via different mechanisms. Together, these data provide new information about the normal regulation of neurotransmitter synthesis and how this may be altered in neurometabolic disorders, such as PKU and TYRSN1, with implications for the treatment of cognitive symptoms resulting from comorbid neurodevelopmental disorders.

Deep neural network technique for automated detection of ADHD and CD using ECG signal

BACKGROUND AND OBJECTIVE

Attention Deficit Hyperactivity problem (ADHD) is a common neurodevelopment problem in children and adolescents that can lead to long-term challenges in life outcomes if left untreated. Also, ADHD is frequently associated with Conduct Disorder (CD), and multiple research have found similarities in clinical signs and behavioral symptoms between both diseases, making differentiation between ADHD, ADHD comorbid with CD (ADHD+CD), and CD a subjective diagnosis. Therefore, the goal of this pilot study is to create the first explainable deep learning (DL) model for objective ECG-based ADHD/CD diagnosis as having an objective biomarker may improve diagnostic accuracy.

METHODS

The dataset used in this study consist of ECG data collected from 45 ADHD, 62 ADHD+CD, and 16 CD patients at the Child Guidance Clinic in Singapore. The ECG data were segmented into 2 s epochs and directly used to train our 1-dimensional (1D) convolutional neural network (CNN) model.

RESULTS

The proposed model yielded 96.04% classification accuracy, 96.26% precision, 95.99% sensitivity, and 96.11% F1-score. The Gradient-weighted class activation mapping (Grad-CAM) function was also used to highlight the important ECG characteristics at specific time points that most impact the classification score.

CONCLUSION

In addition to achieving model performance results with our suggested DL method, Grad-CAM's implementation also offers vital temporal data that clinicians and other mental healthcare professionals can use to make wise medical judgments. We hope that by conducting this pilot study, we will be able to encourage larger-scale research with a larger biosignal dataset. Hence allowing biosignal-based computer-aided diagnostic (CAD) tools to be implemented in healthcare and ambulatory settings, as ECG can be easily obtained via wearable devices such as smartwatches.

Functional Imaging Derived ADHD Biotypes Based on Deep Clustering May Guide Personalized Medication Therapy

Attention deficit hyperactivity disorder (ADHD) is one prevalent neurodevelopmental disorder with childhood onset, however, there is no clear correspondence established between clinical ADHD subtypes and primary medications. Identifying objective and reliable neuroimaging markers for categorizing ADHD biotypes may lead to more individualized, biotype-guided treatment. Here we proposed graph convolutional network plus deep clustering for ADHD biotype detection using functional network connectivity (FNC), resulting in two biotypes based on 1069 ADHD patients selected from Adolescent Brain and Cognitive Development (ABCD) study, which were well replicated on independent ADHD adolescents undergoing longitudinal medication treatment (n=130). Interestingly, in addition to differences in cognitive performance and hyperactivity/impulsivity symptoms, biotype 1 treated with methylphenidate demonstrated significantly better recovery than biotype 2 treated with atomoxetine (p<0.05, FDR corrected). This imaging-driven, biotype-guided approach holds promise for facilitating personalized treatment of ADHD, exploring possible boundaries through innovative deep learning algorithms aimed at improving medication treatment effectiveness.

Interoceptive accuracy mediates the longitudinal relationship between attention deficit hyperactivity disorder (ADHD) inattentive symptoms and disordered eating in a community sample

Attention deficit hyperactivity disorder (ADHD) symptoms are associated with disordered eating and interoceptive deficits (as assessed by reliance on hunger/satiety cues) have been suggested as a potential mediating influence. The aim of this longitudinal study was to examine whether the association between ADHD symptoms and disordered eating is explained by deficits in specific facets of interoception. We also aimed to provide further evidence on the previously reported association between ADHD symptoms, negative mood and disordered eating. A community-based sample of 345 adult men and women (M age = 33.9, 72.5% women) completed questionnaires assessing disordered eating (restrictive and binge-type), ADHD symptoms, reliance on hunger/ satiety cues, specific facets of interoception (interoceptive accuracy and interoceptive sensibility) and negative mood at two timepoints over a 6-month period. We tested the mediating influence of reliance on hunger/satiety cues, facets of interoception and negative mood on the relationship between ADHD symptoms and disordered eating. Reliance on hunger/satiety cues mediated the relationship between inattentive symptoms of ADHD and both restrictive and binge-type eating. Interoceptive accuracy, but not sensibility mediated the relationship between inattentive ADHD symptoms and binge-type eating. Negative mood mediated the relationship between both ADHD symptom types and restrictive and binge-type eating. The results from this longitudinal study confirm that deficits in interoception and negative mood contribute to the relationship between ADHD symptoms and disordered eating and extend knowledge by highlighting interoceptive accuracy specifically as the most important facet of interoception in the relationship between inattentive symptoms and binge-type eating.

Maternal cortisol in 3rd trimester is associated with traits of neurodevelopmental disorder in offspring. Odense Child Cohort

BACKGROUND

Prenatal cortisol exposure is essential for neurodevelopment. Maternal cortisol levels could be associated with offspring autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD).

AIM

To investigate associations between maternal 3rd trimester cortisol and offspring traits of ASD and ADHD.

MATERIAL AND METHODS

Mother-child pairs were included from the prospective study Odense Child Cohort. Morning serum cortisol and 24-hour urine cortisol/cortisone were collected at gestational week 27-30. Offspring ASD and ADHD traits were assessed at age three and five years using the Child Behavior Checklist. Maternal cortisol measurements and offspring ASD and ADHD traits assessment were available in (n = 1131; 52% boys) mother-child pairs at age three and (n = 717; 54% boys) at five years of age. Maternal 24-hour urine measurement was available in a subset, at offspring three years of age (n = 300) and at five years of age (n = 217). Associations between maternal cortisol (continuous and tertiles) and offspring ASD or ADHD traits were examined in regression models adjusted for offspring sex, maternal age, pre-pregnancy BMI, parity, maternal education level, parental psychiatric disorders, and maternal smoking and stratified for offspring sex.

RESULTS

Maternal mean age ( ± SD) was 30 years ( ± 4.4) and median BMI (25%; 75% percentiles) 23.5 kg/m² (21.3; 26.6). Higher maternal serum cortisol levels were associated with higher prevalence of offspring ASD traits at three years of age in the total study cohort and in boys after stratifying for offspring sex. In the total population, tertiles of serum cortisol showed a significant dose-response relationship to ASD traits in unadjusted and adjusted models (p-values for linear trend, p < 0.01 and p = 0.02, respectively). In offspring at five years, associations between maternal cortisol and offspring ASD traits were non-significant (all p-values > 0.2). Maternal cortisol was not associated with offspring ADHD traits (all p-values > 0.07) in offspring at three and five years. Maternal 24-hour urine cortisol, cortisone, or cortisol/cortisone ratio were not associated with offspring ASD or ADHD traits.

CONCLUSION

Higher maternal serum cortisol in 3rd trimester was associated with offspring ASD traits at three years of age in the whole study cohort and in boys, but not in girls. This association was non-significant at five years of age.

Sleep interventions for children with attention deficit hyperactivity disorder (ADHD): A systematic literature review

OBJECTIVE/BACKGROUND

Healthy sleep is particularly important for children with attention deficit hyperactivity disorder (ADHD), as sleep disturbances might aggravate disease symptoms. This review aims to synthesize and report evidence on the effectiveness of sleep interventions in increasing sleep, quality of life (QoL), and ADHD symptoms among children with ADHD.

PATIENTS/METHODS

The systematic literature review follows the Cochrane Collaboration methodology recommendations for literature reviews. Four databases were used based on the population, intervention, control and outcome (PICO) framework. Controlled trials with minimum 20 children in each group, aged 6-18, and published from 2005 and onwards were included. Results from the studies were reported in forest plots and three of the seven review outcomes were synthesized in meta-analyses.

RESULTS

The search identified 7710 records; of which 4808 abstracts were screened. After fulltext-screening of 99 papers, eight papers from five studies were included. The studies included behavioral sleep interventions and pharmacological interventions using melatonin and eszopiclone. For six of the seven outcomes, the effect sizes were small to moderate and the certainty of the evidence was low. For one outcome, sleep disturbances, the effect size was a moderate -0.49 standardized mean differences (95% confidence interval -0.65;-0.33), with a moderate certainty of evidence for the behavioral interventions for children aged 5-13 years with ADHD.

CONCLUSIONS

This review identified few and heterogeneous studies. A moderate certainty of evidence for a moderate effect size was only obtained for sleep disturbances from the behavioral interventions. A low certainty of the evidence for a moderate effect size was found for the total sleep time from the pharmacological intervention using melatonin and one behavioral intervention, which indicates that these sleep interventions impact sleep quantity and quality among children with ADHD.

Gender differences in dynamic functional network connectivity in pediatric and adult patients with attention deficit hyperactivity disorder

ADHD persistence into adulthood depends on gender, with 60% female and 35% male cases. This study sought to investigate gender differences in dynamic functional network connectivity (dFNC) using resting-state functional magnetic resonance imaging (rs-fMRI) data of pediatric ADHD patients (female: N=24; 11.02 ± 2.60 years, male: N=20;11.87 ± 2.62 years) and adult ADHD patients (female=19; 31.11 ± 10.40 years, males: N=20;32.05 ± 10.10 years). We identified nine and eight networks in pediatrics and adult data, respectively, using GICA. Each age group was clustered into four states using K-means. Significant gender differences in the pediatric group were only found in temporal profiles, particularly in "fraction of time" (FOT) and "mean dwell time" (MDT), but not in FNC. FOT spent by the female pediatric group in state 4 showed a negative relationship with hyperactivity severity. Compared to the adult male group, reduced connectivity was observed within the visual network, between the visual network and DMN, and FPN, as well as between the DMN and cerebellum networks in female adult ADHD patients. Significant FOT and MDT differences were observed between the two groups in state 3. Our results imply gender differences in ADHD, especially in the adult group. Furthermore, given the gender differences observed, our work provides insights into the pathophysiology of ADHD sub-served by gender.

Effect of short-term methylphenidate on social impairment in children with attention deficit/hyperactivity disorder: systematic review

Attention Deficit/Hyperactivity disorder (ADHD) is one of the most common disorders in school-age children. In addition to learning difficulties associated with the disorder's core symptoms of inattention and hyperactivity, children with ADHD display substantial social impairments. Methylphenidate (MPH) in formulations such as Ritalin or Concerta mitigates inattention and hyperactivity, but the effects of the therapy on social behavior in children with ADHD are not clear. This review aims to determine the effectiveness of short term (up to 6 months) MPH treatment on three domains of social skills in children aged 6-14 with ADHD: (i) Recognition of nonverbal emotional expressions, which are a marker of inherent (unlearned) social understanding, (ii) theory of mind (ToM) components that relate to learned cognition and social communication, and (iii) social competence in everyday environments. 15 relevant studies were identified based on inclusion/exclusion criteria. The results show mixed effects: the overall social performance as evaluated by parents, teachers or peers, and some components of ToM, were found to improve following a weeks-long course of MPH treatment. However, the effects of the medication are less clear when evaluating momentary/nonverbal social responses such as reactions to emotional facial expressions. While the findings of this review indicate that an MPH medication regime of order weeks to months could improve, to a degree, social impairment in children with ADHD, more studies are required to identify the medications' mechanism and confirm such a conclusion.

Transcranial Direct Current Stimulation (tDCS) in children with ADHD: A randomized, sham-controlled pilot study

BACKGROUND

ADHD is a common neurodevelopmental disorder with a pediatric prevalence of 5.2%.While medication treatment for ADHD is effective, it does not address all symptoms and a small but notable subgroup does not respond to medications. Adverse effects limit its use and some parents and participants resist use of medication. Thus, limitations of medication treatment for ADHD motivate searching for other therapeutic options. Transcranial Direct Current Stimulation (tDCS) has been suggested as a treatment for children with ADHD, with mixed results to date. Protocol variables employed, including combined use of cognitive training (CT) and scheduling of sessions, may explain diverse findings to date. The aim of this study was to examine safety, feasibility and efficacy of tDCS combined with CT provided three-times-per week for one-month to treat children with ADHD.

METHODS

In a double blind, randomized, sham-controlled pilot study, 25 children with ADHD were randomized to receive 12 sessions of either anodal tDCS or sham-tDCS for 20 min combined with CT three-times-per-week for four weeks. The tDCS anode was over left dorsolateral prefrontal cortex (DLPFC) and cathode over vertex. Assessments were obtained prior to, after 6 sessions, 12 sessions and one-month after intervention.

RESULTS

No significant post-intervention differences were found between those receiving tDCS or sham-tDCS. Both groups demonstrated significant improvement on questionnaire measures of ADHD and executive function with mixed results seen on computerized performance measures. Overall, adverse effects were mild with no significant difference between groups. However, three children, all from the tDCS group, experienced headaches with two requiring temporary cessation and one requiring removal from the study.

CONCLUSIONS

Anodal tDCS to the DLPFC using the above protocol in children with ADHD did not demonstrate additional treatment benefits beyond that of CT.

Investigating the discrimination of linear and nonlinear effective connectivity patterns of EEG signals in children with Attention-Deficit/Hyperactivity Disorder and Typically Developing children

BACKGROUND

Analysis of effective connectivity among brain regions is an important key to decipher the mechanisms underlying neural disorders such as Attention Deficit Hyperactivity Disorder (ADHD). We previously introduced a new method, called nCREANN (nonlinear Causal Relationship Estimation by Artificial Neural Network), for estimating linear and nonlinear components of effective connectivity, and provided novel findings about effective connectivity of EEG signals of children with autism. Using the nCREANN method in the present study, we assessed effective connectivity patterns of ADHD children based on their EEG signals recorded during a visual attention task, and compared them with the aged-matched Typically Developing (TD) subjects.

METHOD

In addition to the nCREANN method for estimating linear and nonlinear aspects of effective connectivity, the direct Directed Transfer Function (dDTF) was utilized to extract the spectral information of connectivity patterns.

RESULTS

The dDTF results did not suggest a specific frequency band for distinguishing between the two groups, and different patterns of effective connectivity were observed in all bands. Both nCREANN and dDTF methods showed decreased connectivity between temporal/frontal and temporal/occipital regions, and increased connection between frontal/parietal regions in ADHDs than TDs. Furthermore, the nCREANN results showed more left-lateralized connections in ADHDs compared to the symmetric bilateral inter-hemispheric interactions in TDs. In addition, by fusion of linear and nonlinear connectivity measures of nCREANN method, we achieved an accuracy of 99% in classification of the two groups.

CONCLUSION

These findings emphasize the capability of nCREANN method to investigate the brain functioning of neural disorders and its strength in preciously distinguish between healthy and disordered subjects.

Overview of CAPICE-Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe-an EU Marie Skłodowska-Curie International Training Network

The Roadmap for Mental Health and Wellbeing Research in Europe (ROAMER) identified child and adolescent mental illness as a priority area for research. CAPICE (Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe) is a European Union (EU) funded training network aimed at investigating the causes of individual differences in common childhood and adolescent psychopathology, especially depression, anxiety, and attention deficit hyperactivity disorder. CAPICE brings together eight birth and childhood cohorts as well as other cohorts from the EArly Genetics and Life course Epidemiology (EAGLE) consortium, including twin cohorts, with unique longitudinal data on environmental exposures and mental health problems, and genetic data on participants. Here we describe the objectives, summarize the methodological approaches and initial results, and present the dissemination strategy of the CAPICE network. Besides identifying genetic and epigenetic variants associated with these phenotypes, analyses have been performed to shed light on the role of genetic factors and the interplay with the environment in influencing the persistence of symptoms across the lifespan. Data harmonization and building an advanced data catalogue are also part of the work plan. Findings will be disseminated to non-academic parties, in close collaboration with the Global Alliance of Mental Illness Advocacy Networks-Europe (GAMIAN-Europe).

The relationship between persistent organic pollutants and Attention Deficit Hyperactivity Disorder phenotypes: Evidence from task-based neural activity in an observational study of a community sample of Canadian mother-child dyads

BACKGROUND

Prenatal exposure to persistent organic pollutants (POPs), widespread in North America, is associated with increased Attention Deficit/Hyperactivity Disorder (ADHD) symptoms and may be a modifiable risk for ADHD phenotypes. However, the effects of moderate exposure to POPs on task-based inhibitory control performance, related brain function, and ADHD-related symptoms remain unknown, limiting our ability to develop interventions targeting the neural impact of common levels of exposure.

OBJECTIVES

The goal of this study was to examine the association between prenatal POP exposure and inhibitory control performance, neural correlates of inhibitory control and ADHD-related symptoms.

METHODS

Prospective data was gathered in an observational study of Canadian mother-child dyads, with moderate exposure to POPs, including polychlorinated biphenyls (PCBs) and polybrominated diphenyl ethers (PBDEs), as part of the GESTation and the Environment (GESTE) cohort in Sherbrooke, Quebec, Canada. The sample included 87 eligible children, 46 with maternal plasma samples, functional magnetic resonance imaging (fMRI) data of Simon task performance at 9-11 years, and parental report of clinical symptoms via the Behavioral Assessment System for Children 3 (BASC-3). Simon task performance was probed via drift diffusion modeling, and parameter estimates were related to POP exposure. Simon task-based fMRI data was modeled to examine the difference in incongruent vs congruent trials in regions of interest (ROIs) identified by meta analysis.

RESULTS

Of the 46 participants with complete data, 29 were male, and mean age was 10.42 ± 0.55 years. Increased POP exposure was associated with reduced accuracy (e.g. PCB molar sum rate ratio = 0.95; 95% CI [0.90, 0.99]), drift rate (e.g. for PCB molar sum β = -0.42; 95% CI [-0.77, -0.07]), and task-related brain activity (e.g. in inferior frontal cortex for PCB molar sum β = -0.35; 95% CI [-0.69, -0.02]), and increased ADHD symptoms (e.g. hyperactivity PCB molar sum β = 2.35; 95%CI [0.17, 4.53]), supporting the possibility that prenatal exposure to POPs is a modifiable risk for ADHD phenotypes.

DISCUSSION

We showed that exposure to POPs is related to task-based changes in neural activity in brain regions important for inhibitory control, suggesting a biological mechanism underlying previously documented associations between POPs and neurobehavioral deficits found in ADHD phenotypes.

Post-injury outcomes of children with behavioral health disorders

BACKGROUND

The impact of Behavioral Health Disorders (BHDs) on pediatric injury is poorly understood. We investigated the relationship between BHDs and outcomes following pediatric trauma.

METHODS

We analyzed injured children (age 5-15) from 2014 to 2016 using the Pediatric Trauma Quality Improvement Program. The primary outcome was in-hospital mortality. Univariable and multivariable analyses compared children with and without a comorbid BHD.

RESULTS

Of 69,305 injured children, 3,448 (5%) had a BHD. These 3,448 children had a median of 1 [IQR: 1, 1] BHD diagnosis: ADHD (n = 2491), major psychiatric disorder (n = 1037), drug use disorder (n = 250), and alcohol use disorder (n = 29). A higher proportion of injured children with BHDs suffered intentional and penetrating injury. Firearm injuries were more common for BHD patients (3% vs 1%, p<0.001). Children with BHDs were more likely to have an ISS>25 compared to children without (5% vs 3%, p<0.001). While median LOS was longer for BHD patients (2 [1, 3] vs 2 [1, 4], p<0.001), mortality was similar (1% vs 1%, p = 0.76) and complications were less frequent (7% vs 8%, p = 0.002). BHD was associated with lower risk of mortality (OR 0.45, 95%CI [0.30, 0.69]) after controlling for age, sex, race, trauma type, and injury intent and severity.

CONCLUSION

Children with BHDs experienced lower in-hospital mortality risk after traumatic injury despite more severe injury upon presentation. Intentional and penetrating injuries are particularly concerning, and future work should assess prevention efforts in this vulnerable group.

The relationships between screen time and mental health problems among Chinese adults

BACKGROUND

This study aimed to examine the specific relationships between screen time and various mental health problems among community-dwelling adults in China.

METHODS

Self-reports of weekday and weekend screen time (TV, computer use and cell phone/tablet use), symptoms of PTSD, depression, and ADHD, and psychotic-like experiences (PLEs) were completed by 7121 Chinese adults. Logistic regression was used to examine specific relationships between screen time and mental health problems with demographics, physical activity, drinking, smoking, and sleep duration as covariates.

RESULTS

On weekdays, the participants spending at least 3 h on watching TV, computer use and cell phone/tablet use respectively accounted for 6.8%, 15.9% and 45.9%. On weekends, the proportions were 15.5%, 12.1% and 50.0%. Computer use on weekends was associated with higher risk of PTSD (OR = 1.81); cell phone/tablet use on weekdays and weekends was related to increased depression (OR = 1.38, OR = 1.28, respectively), while only computer use on weekends was related to depression (OR = 1.33); cell phone/tablet use both on weekdays and weekends was also connected to ADHD (OR = 1.56, OR = 1.48, respectively); on weekdays and weekends, more time TV viewing (OR = 1.76-1.79, OR = 1.46-1.71, respectively) and less cell phone/tablet use (OR = 0.66, OR = 0.65, respectively) were associated with higher numbers of PLEs.

CONCLUSIONS

The relationships between different types of screen time and mental health problems are variant. Future longitudinal studies should subdivide screen time on the basis of content and explore the specific causal relationship between screen time and mental health problems.

Supported Diagnosis of Attention Deficit and Hyperactivity Disorder from EEG Based on Interpretable Kernels for Hidden Markov Models

As a neurodevelopmental pathology, Attention Deficit Hyperactivity Disorder (ADHD) mainly arises during childhood. Persistent patterns of generalized inattention, impulsivity, or hyperactivity characterize ADHD that may persist into adulthood. The conventional diagnosis relies on clinical observational processes yielding high rates of overdiagnosis due to varying interpretations among specialists or missing information. Although several studies have designed objective behavioral features to overcome such an issue, they lack significance. Despite electroencephalography (EEG) analyses extracting alternative biomarkers using signal processing techniques, the nonlinearity and nonstationarity of EEG signals restrain performance and generalization of hand-crafted features. This work proposes a methodology to support ADHD diagnosis by characterizing EEG signals from hidden Markov models (HMM), classifying subjects based on similarity measures for probability functions, and spatially interpreting the results using graphic embeddings of stochastic dynamic models. The methodology learns a single HMM for EEG signal from each patient, so favoring the inter-subject variability. Then, the Probability Product Kernel, specifically developed for assessing the similarity between HMMs, fed a support vector machine that classifies subjects according to their stochastic dynamics. Lastly, the kernel variant of Principal Component Analysis provided a means to visualize the EEG transitions in a two-dimensional space, evidencing dynamic differences between ADHD and Healthy Control children. From the electrophysiological perspective, we recorded EEG under the Stop Signal Task modified with reward levels, which considers cognitive features of interest as insufficient motivational circuits recruitment. The methodology compares the supported diagnosis in two EEG channel setups (whole channel set and channels of interest in frontocentral area) and four frequency bands (Theta, Alpha, Beta rhythms, and a wideband). Results evidence an accuracy rate of 97.0% in the Beta band and in the channels where previous works found error-related negativity events. Such accuracy rate strongly supports the dual pathway hypothesis and motivational deficit concerning the pathophysiology of ADHD. It also demonstrates the utility of joining inhibitory and motivational paradigms with dynamic EEG analysis into a noninvasive and affordable diagnostic tool for ADHD patients.

Brain Structural Correlates of Intelligence in Attention Deficit Hyperactivity Disorder (ADHD) Individuals

Introduction

Neuroimaging evidence has shown the relationship of intelligence with several structural brain properties in normal individuals. However, this relationship with attention deficit hyperactivity disorder (ADHD) needs to be investigated.

Methods

We estimated grey matter (GM) density of the brain using magnetic resonance imaging (MRI) scan on 56 ADHD individuals, including 30 combined individuals (Mean±SD age: 10.44±2.41, intelligence quotient: [IQ]=112.13±13.15, male, 24 right hands) and 26 inattentive individuals (mean age =11.39±2.1, IQ=107.44±13.98, male, 28 right hands) as well as 30 IQ matched healthy control group (mean age=11.08±2.15, IQ=115±13.56, male, 23 right hands).

Results

In this study, two statistical approaches were used. In the first approach, region-based as well as the whole association patterns between full-scale IQ and GM were computed and compared between groups. The second approach was to examine the differential pattern of GM density without considering IQ in three groups.

Conclusion

Results showed significant differences between the ADHD group and the control. This finding could indicate that intelligence is not purely based on the density of GM in certain brain regions; it is a dynamic phenomenon and drastically changes neurodevelopmental disorders.

Highlights

In ADHDs as compared to healthy controls the relation between GM and IQ was decreased at right hemisphere;In ADHDs as compared to healthy controls the relation between GM and IQ was increased at left hemisphere;Differenceses of the observed relation between control group and IQ matched ADHDs suggest a compensatory mechanism in ADHDs to maintaine an adequate cognitive performance;GM is not the only determiner of intelligence. IQ score may be affected by neural dynamic of the brain; therefore, the structural covariate could be a better alternative for GM density.

Plain Language Summary

In this study, we estimated the relation between GM density and IQ score in 2 subtypes of ADHD (combined and inattentive) and IQ matched healthy control group. We compared the association between groups and found that the pattern of association in ADHDs were different from controls. In the other words, the decreased association at right hemisphere, were compensated by increased association at left hemisphere in ADHDs to maintaine adequate performance. We conclude that, the brain structure is not the single determiner of intelligence, rather intelligence may underpine by neural dynamics of the brain. Therefore, the structural covariate may be a better alternative for GM density.

Lack of association between severity of ADHD symptoms and salivary oxytocin levels

Impairments in the reactivity of Oxytocin (OT) system were associated with interpersonal difficulties in children with ADHD. The current study aimed to explore the correlation between symptoms severity and salivary OT levels at different time-points in children with ADHD. Symptoms severity was assessed in 50 children with ADHD (28 males, mean age 9.42 ± 1.65) using the Swanson, Nolan and Pelham Questionnaire-IV (SNAP-IV) and the Strengths and Difficulties Questionnaire (SDQ). Salivary OT levels were measured at baseline, as well as 15 min after positive social interaction. There was no statistical correlation between severity of ADHD and salivary OT levels in each of the time points. We conclude that impairments in the reactivity of the OT system in children with ADHD, associated with interpersonal impairments, might be a distinct aspect of the clinical picture, differentiated from the levels of inattentive, hyperactive/impulsive or behavioral symptoms.

The association between symptom severity and theory of mind impairment in children with attention deficit/hyperactivity disorder

The aim was to investigate the correlation between ADHD symptom severity and impairments in "theory of mind" (ToM) and empathy, and the improvement in these functions following the administration of methylphenidate (MPH). Fifty children aged 6-12 years with ADHD participated in the study. Symptom severity was assessed using the Swanson, Nolan and Pelham Questionnaire-IV (SNAP-IV). ToM performance was assessed using the "ToM test" and the "Faux-Pas Recognition Test". A significant negative correlation was found between the SNAP-IV Conners index, the oppositional and deportment subscales, and ToM test scores. MPH administration improved ToM scores in a magnitude that was negatively correlated with baseline performance. Additionally, Children with more severe behavioral problems showed greater improvement in ToM following administration of MPH. We conclude that severity of ADHD symptoms, most notably behavioral symptoms, is correlated with deficits in ToM. Administration of MPH improves ToM performance, with the greatest improvement occurring in children with more severe behavioral symptoms.

Neurocognitive and behavioral profile of fetal alcohol spectrum disorder

Prenatal alcohol exposure is the leading preventable cause of cognitive deficit in developed countries and can lead to fetal alcohol spectrum disorder (FASD). This term encompasses a wide range of physical, mental, behavioral, and cognitive effects that result from damage caused by exposure to alcohol during intrauterine life. Alcohol consumption among the general population is common in Eastern European countries and especially among women at risk of social exclusion, who are the ones who lose or give up custody of their children. A high number of these children are adopted in Spain and many of them present neurocognitive and behavioral disorders, causing FASD to be a public health problem in our country. In many occasions this clinical spectrum is delayed or under-diagnosed due to the overlapping of neuropsychological symptoms caused by the abandonment. A neurocognitive and behavioral profile specific for FASD has not been defined and all the symptoms are common to other etiologies. The aim of this work is to review the neuropsychological profile in the diagnosis of FASD.

Association between sensory modulation and sleep difficulties in children with Attention Deficit Hyperactivity Disorder (ADHD)

BACKGROUND

Sleep difficulties have been reported in up to 85% of children with Attention Deficit hyperactivity disorder (ADHD). Children with ADHD exhibit commonly sensory modulation difficulties (SMD) and experience more significant functional difficulties. Sleep difficulties have also been associated with SMD. The aim of this study was to evaluate whether SMD are associated with sleep difficulties in children with ADHD.

METHODS

We assessed sleep difficulties using the Children's Sleep Habits Questionnaire, and SMD using the Short Sensory Profile (SSP) questionnaire. A total of 25 children with ADHD and atypical sensory profiles, 13 children with ADHD and typical sensory profiles and 38 children used as controls (all children aged 8-11 years) were included.

RESULTS

Sleep difficulties were detected in 86.4% of children with ADHD and atypical SSPs, as compared to 30.8% of children with ADHD and typical SSPs, and 16.7% of controls. A multivariate logistic regression revealed that children with ADHD and atypical SSPs had significantly increased odds for sleep difficulties as compared to controls (OR = 32.4; 95% CI 4.0-260.1, p = 0.001), while children with ADHD and typical SSPs were indistinguishable from controls. Suspected confounders (gender, age, mother's education, and stimulant therapy) did not contribute to sleep difficulties.

CONCLUSION

In this pilot study, SMD were associated with sleep difficulties in children with ADHD.

Attention deficit hyperactivity disorder (ADHD) symptoms, comorbid psychopathology, behaviour problems and gastrointestinal symptoms in children and adolescents with autism spectrum disorder

OBJECTIVES

The study aims to investigate attention deficit hyperactivity disorder (ADHD) symptoms, gastrointestinal (GI) symptoms, comorbid psychopathology and behaviour problems in children and adolescents with autism spectrum disorder (ASD).

METHODS

Parents of 147 children and adolescents with ASD aged 6-18 years completed the Conners 3 Parent-Short Form, Gastrointestinal Symptom Inventory, Behavior Problems Inventory-Short Form and Autism Spectrum Disorder-Comorbid for Children.

RESULTS

Fifty-six per cent of children and adolescents had a comorbid diagnosis of ADHD, yet over 70% presented with clinically significant ADHD symptoms. Forty per cent of participants received a diagnosis of ADHD before ASD and 25.6% received a diagnosis of ASD first. Relationships were found between ADHD symptoms and comorbid psychopathology, GI symptoms, and behaviour problems.

CONCLUSIONS

The outcomes suggest that ADHD is being underestimated as a comorbid disorder of ASD. This may have implications on treatment and interventions for children and adolescents who have a diagnosis of both ASD and ADHD.

[Neurocognitive and behavioral profile of fetal alcohol spectrum disorder]

Prenatal alcohol exposure is the leading preventable cause of cognitive deficit in developed countries and can lead to fetal alcohol spectrum disorder (FASD). This term encompasses a wide range of physical, mental, behavioral, and cognitive effects that result from damage caused by exposure to alcohol during intrauterine life. Alcohol consumption among the general population is common in Eastern European countries and especially among women at risk of social exclusion, who are the ones who lose or give up custody of their children. A high number of these children are adopted in Spain and many of them present neurocognitive and behavioral disorders, causing FASD to be a public health problem in our country. In many occasions this clinical spectrum is delayed or under-diagnosed due to the overlapping of neuropsychological symptoms caused by the abandonment. A neurocognitive and behavioral profile specific for FASD has not been defined and all the symptoms are common to other etiologies. The aim of this work is to review the neuropsychological profile in the diagnosis of TEAF.

Optimising medication management in children and young people with ADHD using a computerised test (QbTest): a feasibility randomised controlled trial

BACKGROUND

Medication for attention deficit hyperactivity disorder (ADHD) should be closely monitored to ensure optimisation. There is growing interest in using computerised assessments of ADHD symptoms to support medication monitoring. The aim of this study was to assess the feasibility and acceptability of a randomised controlled trial (RCT) to evaluate the efficacy of one such computerised assessment, the Quantified Behavior (Qb) Test, as part of medication management for ADHD.

METHODS

This feasibility multi-site RCT conducted in child and adolescent mental health and community paediatric settings recruited participants aged 6-15 years diagnosed with ADHD starting stimulant medication. Participants were randomised into one of two arms: experimental (QbTest protocol) where participants completed a QbTest at baseline and two follow-up QbTests on medication (2-4 weeks and 8-10 weeks later) and control where participants received treatment as usual, including at least two follow-up consultations. Measures of parent, teacher, and clinician-rated symptoms and global functioning were completed at each time point. Clinicians recorded treatment decision-making and health economic measures were obtained. Data were analysed using multi-level modelling and participants (children and parents) and clinicians were interviewed about their experiences, resulting data were thematically analysed.

RESULTS

Forty-four children and young people were randomised. Completion of study outcome measures by care-givers and teachers ranged from 52 to 78% at baseline to 47-65% at follow-up. Participants reported the questionnaires to be useful to complete. SNAP-IV inattention scores showed greater reduction in the intervention than the control group (- 5.85, 95% CI - 10.33, - 1.36,). Engagement with the intervention ranged from 100% at baseline, to 78% follow-up 1 and 57% follow-up 2. However, only 37% of QbTests were conducted in the correct time period. Interview data highlighted that the objectivity of the QbTest was appreciated by clinicians and parents. Clinicians commented that the additional time and resources required meant that it is not feasible to use QbTest for all cases.

CONCLUSION

The trial design and protocol appear to be feasible and acceptable but could be improved by modifying QbTest time periods and the method of data collection. With these changes, the protocol may be appropriate for a full trial. Adding QbTest may improve symptom outcome as measured by SNAP-IV.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03368573 , prospectively registered, 11th December 2017, and ISRCTN, ISRCTN69461593 , retrospectively registered, 10th April 2018.

The contribution of Xp22.31 gene dosage to Turner and Klinefelter syndromes and sex-biased phenotypes

Turner syndrome (TS) is a rare developmental condition in females caused by complete, or partial, loss of the second sex chromosome; it is associated with a number of phenotypes including short stature, ovarian failure and infertility, as well as neurobehavioural and cognitive manifestations. In contrast, Klinefelter syndrome (KS) arises from an excess of X chromosome material in males (typical karyotype is 47,XXY); like TS, KS is associated with infertility and hormonal imbalance, and behavioural/neurocognitive differences from gonadal sex-matched counterparts. Lower dosage of genes that escape X-inactivation may partially explain TS phenotypes, whilst overdosage of these genes may contribute towards KS-related symptoms. Here, I discuss new findings from individuals with deletions or duplications limited to Xp22.31 (a region escaping X-inactivation), and consider the extent to which altered gene dosage within this small interval (and of the steroid sulfatase (STS) gene in particular) may influence the phenotypic profiles of TS and KS. The expression of X-escapees can be higher in female than male tissues; I conclude by considering how lower Xp22.31 gene dosage in males may increase their likelihood of exhibiting particular phenotypes relative to females. Understanding the genetic contribution to specific phenotypes in rare disorders such as TS and KS, and to more common sex-biased phenotypes, will be important for developing more effective, and more personalised, therapeutic approaches.

Predicting ADHD symptoms and diagnosis at age 14 from objective activity levels at age 7 in a large UK cohort

Hyperactivity is one of the three core symptoms in children with attention deficit hyperactivity disorder (ADHD). Diagnosing ADHD typically involves self-report, third party report and observations. Objective activity data can make a valuable contribution to the diagnostic process. Small actigraphy studies in clinical samples have shown that children with ADHD move more than children without ADHD. However, differences in physical activity between children with and without ADHD have not been assessed in large community samples or longitudinally. This study used data from the Millennium Cohort Study to test whether symptoms of ADHD (parent-rating Strengths and Difficulties Questionnaire) and ADHD diagnosis at age 14 (reported by parents) could be predicted from objective activity data (measured with actigraphs) at age 7 in N = 6675 children (final N = 5251). Regressions showed that less sedentary behavior at age 7 predicted more ADHD symptoms at age 14 (β =  - 0.002, CI  - 0.004 to  - 0.001). The result remained significant when controlled for ADHD symptoms at age 7, sex, BMI, month of birth, SES and ethnicity (β  =  - 0.001, CI  - 0.003 to  - 0.0003). ADHD diagnosis at age 14 was also significantly predicted by less sedentary behavior at age 7 (β  =  - 0.008). Our findings show that symptoms of ADHD can be predicted by objective activity data 5 years in advance and suggest that actigraphy could be a useful instrument aiding an ADHD diagnosis. Interestingly, the results indicate that the key difference between children with and without ADHD lies in reduced sedentary activity, i.e., times of rest.

Occupational experiences of college students with ADHD: A qualitative study

BACKGROUND

College students with attention deficit hyperactivity disorder (ADHD) face difficulties with occupational performance in many functional domains. Despite the broad literature on academic and psychosocial functions, there is a gap in knowledge regarding how these students experience participation in their various daily functions.

OBJECTIVE

Gaining a deeper understanding of the occupational experiences of college students with ADHD and exploring factors that facilitate or impede their occupational performance.

METHOD

Twenty college students with ADHD were interviewed using the Occupational Performance History Interview (OPHI-II). Qualitative content analysis was employed.

RESULTS

Six themes were found in relation to varied occupational domains: (1) Eating and meal preparation: Too little or too much; (2) Sleep: Not enough to 'recharge batteries'; (3) Medication management: Intense ambivalence; (4) Studying: Too hard, too effortful (5) Work: Need it and love it; and (6) Leisure: Desired yet absent. Each theme contained categories related to factors that influenced performance. Impeding factors included occupational demands, ADHD biological attributes, and personal beliefs. Facilitating factors included self-awareness, executive strategies, adaptive routines, and enabling social context.

CONCLUSIONS

College students with ADHD experience profound difficulties in occupational performance, yet variation occurs across domains, attributable to occupational, biological, psychological, and social factors. Results can inform tailored interventions supporting occupational performance in this population.

Investigation of Brain Functional Networks in Children Suffering from Attention Deficit Hyperactivity Disorder

ADHD defects the recognition of facial emotions. This study assesses the neurophysiological differences between children with ADHD and matched healthy controls during a face emotional recognition task. The study also explores how brain connectivity is affected by ADHD. Electroencephalogram (EEG) signals were recorded from 64 scalp electrodes. Event-related phase coherence (ERPCOH) method was applied to pre-processed signals, and functional connectivity between any pair of electrodes was computed in different frequency bands. A logistic regression (LR) classifier with elastic net regularization (ENR) was trained to classify ADHD and HC participants using the functional connectivity of frequency bands as a potential biomarker. Subsequently, the brain network is constructed using graph-theoretic techniques, and graph indices such as clustering coefficient (C) and shortest path length (L) were calculated. Significant intra-hemispheric and the inter-hemispheric discrepancy between ADHD and healthy control (HC) groups in the beta band was observed. The graph features indicate that the clustering coefficient is significantly higher in the ADHD group than that in the HC group. At the same time, the shortest path length is significantly lower in the beta band. ADHD's brain networks have a problem in transferring information among various neural regions, which can cause a deficiency in the processing of facial emotions. The beta band seems better to reflect the differences between ADHD and HC. The observed functional connectivity and graph differences could also be helpful in ADHD investigations.

Self and hetero-perception and discrimination in Attention Deficit Hyperactivity Disorder

This study intends to show the external perception that Primary Education students have of their schoolmates with Attention Deficit Hyperactivity Disorder (ADHD) and the perception of the student who has being diagnosed with ADHD himself/herself in order to analyse the differences between both perceptions. For that purpose, a questionnaire was e elaborated ad hoc, and the main results shown point to the fact that the external perception of the Primary Education student is more positive than the perception of the diagnosed student. Moreveover, the perception of the schoolmates of students diagnosed with ADHD tends to worsen in superior courses. This discovery invites us to reflect on and understand the more frequent attitudes and behaviours that develop in interaction situations as well as investigate those conducts related to social prejudice associated to their clinical characteristics and prevalent syntoms (attention déficit, hyperactivity and impulsivity), which develop an increase of the negative perception towards the student with ADHD.

Principle ERP reduction and analysis: Estimating and using principle ERP waveforms underlying ERPs across tasks, subjects and electrodes

Event-related potentials (ERP) waveforms are the summation of many overlapping signals. Changes in the peak or mean amplitude of a waveform over a given time period, therefore, cannot reliably be attributed to a particular ERP component of ex ante interest, as is the standard approach to ERP analysis. Though this problem is widely recognized, it is not well addressed in practice. Our approach begins by presuming that any observed ERP waveform - at any electrode, for any trial type, and for any participant - is approximately a weighted combination of signals from an underlying set of what we refer to as principle ERPs, or pERPs. We propose an accessible approach to analyzing complete ERP waveforms in terms of their underlying pERPs. First, we propose the principle ERP reduction (pERP-RED) algorithm for investigators to estimate a suitable set of pERPs from their data, which may span multiple tasks. Next, we provide tools and illustrations of pERP-space analysis, whereby observed ERPs are decomposed into the amplitudes of the contributing pERPs, which can be contrasted across conditions or groups to reveal which pERPs differ (substantively and/or significantly) between conditions/groups. Differences on all pERPs can be reported together rather than selectively, providing complete information on all components in the waveform, thereby avoiding selective reporting or user discretion regarding the choice of which components or windows to use. The scalp distribution of each pERP can also be plotted for any group/condition. We demonstrate this suite of tools through simulations and on real data collected from multiple experiments on participants diagnosed with Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder. Software for conducting these analyses is provided in the pERPred package for R.

Prenatal alcohol exposure and risk of attention deficit hyperactivity disorder in offspring: A retrospective analysis of the millennium cohort study

OBJECTIVE

To investigate the relationship between prenatal maternal alcohol consumption and the risk of attention deficit hyperactivity disorder (ADHD), the strengths and difficulties questionnaire (SDQ) score and abnormal hyperactivity score in seven-year-old children.

METHODS

This study is a retrospective analysis of the Millennium Cohort Study (MCS). Questionnaires were used to gather data on gestational alcohol consumption when children were 9 months old and neurodevelopmental outcomes in offspring at 7 years of age (N = 13,004). Alcohol consumption was classified into never, light, moderate and heavy. Crude and adjusted logistic regression models were used for data analysis.

RESULTS

The total number of women who reported drinking alcohol in pregnancy (the light, moderate and heavy drinking group) was 3916 (30.1%). No significant association was found between light, moderate or heavy gestational alcohol consumption and ADHD (adjusted odds ratio [aOR] for light = 0.80, 95% confidence interval [CI] = [0.53,1.22], aOR for moderate = 0.83, [0.40, 1.74]; aOR for heavy = 1.27, [0.54, 2.98]); for abnormal SDQ score (aOR for light = 0.94, [0.78,1.13], aOR for moderate = 0.70, [0.49,1.00]; aOR for heavy = 1.08, [0.70, 1.66]); for abnormal Hyperactivity score (aOR for light = 1.02, [0.89,1.17]; aOR for moderate = 1.05, [0.82, 1.34]; aOR for heavy = 0.90, [0.62, 1.32]), in offspring.

CONCLUSION

Light, moderate or heavy antenatal alcohol consumption was not associated with an increased susceptibility to ADHD or behavioural outcomes in this study. However, due to the limited number of cases we cannot rule out an increased risk of ADHD in relation to heavy alcohol consumption.

Comparison between conventional and HD-tDCS of the right inferior frontal gyrus in children and adolescents with ADHD

OBJECTIVE

To investigate whether the effects of HD-tDCS and conventional tDCS of the right IFG are superior to the effects of sham stimulation for the improvement of working memory performance in ADHD.

METHODS

15 ADHD patients between 10 and 16 years underwent three tDCS sessions in which conventional, HD and sham tDCS of the right IFG were applied. In all sessions a 2-back working memory task was solved and EEG was recorded. Baseline data were assessed from 15 age matched healthy controls.

RESULTS

In ADHD patients, increased positive values of P300 and N200 mean amplitudes were found after conventional and HD-tDCS. Thus, both components were more in resemblance to ERPs in healthy controls. Behavioral performance was not generally influenced by tDCS but effects of HD-tDCS depended on individual hyperactive/impulsive symptom load. The rate of responders for HD-tDCS was equivalent to the responder rate for conventional tDCS.

CONCLUSIONS

ERP data indicate that HD-tDCS is equally suitable as conventional tDCS for the recruitment of the right IFG in the context of working memory processing.

SIGNIFICANCE

HD-tDCS of the right IFG is a promising approach for neuromodulation in ADHD but further research is necessary to develop adaptations that produce reliable behavioral benefits.

The therapeutic role of Cannabidiol in mental health: a systematic review

Background

The therapeutic application of cannabidiol (CBD) is gaining interest due to expanding evidence for its use.

Objective

To summarize the clinical outcomes, study designs and limitations for the use of CBD and nabiximols (whole plant extract from Cannabis sativa L. that has been purified into 1:1 ratio of CBD and delta-9-tetrahydrocannabinol) in the treatment of psychiatric disorders.

Materials and method

A systematic review was conducted including case reports, case series, open-label trials, non-randomized and randomized controlled trials (RCTs). The search resulted in 23 relevant studies on CBD and nabiximols in the treatment of a wide range of psychiatric disorders. The quality of evidence was judged by using the Oxford Centre for Evidence-Based Medicine 2011 Levels of Evidence that ranges from Level 1 to Level 5 based on the quality and study design. These levels of evidence help in grading the recommendations, including Grade A (strong), Grade B (moderate), Grade C (weak), and Grade D (weakest).

Results

CBD and CBD-containing compounds such as nabiximols were helpful in alleviating psychotic symptoms and cognitive impairment in patients with a variety of conditions, and several studies provided evidence of effectiveness in the treatment of cannabis withdrawal and moderate to severe cannabis use disorder with Grade B recommendation. There is Grade B recommendation supporting the use of CBD for the treatment of schizophrenia, social anxiety disorder and autism spectrum disorder (ASD), and attention deficit hyperactivity disorder (ADHD). Grade C recommendation exists for insomnia, anxiety, bipolar disorder, posttraumatic stress disorder, and Tourette syndrome. These recommendations should be considered in the context of limited number of available studies.

Conclusion

CBD and CBD-containing compounds such as nabiximols were helpful in alleviating symptoms of cannabis-related disorders, schizophrenia, social anxiety disorder, and comorbidities of ASD, and ADHD with moderate recommendation. However, there is weaker evidence for insomnia, anxiety, bipolar disorder, posttraumatic stress disorder, and Tourette syndrome. The evidence for the use of CBD and CBD-containing compounds for psychiatric disorders needs to be explored in future studies, especially large-scale and well-designed RCTs.

Physical exercise in attention deficit hyperactivity disorder - evidence and implications for the treatment of borderline personality disorder

A growing body of literature indicates a potential role for physical exercise in the treatment of attention deficit hyperactivity disorder (ADHD). Suggested effects include the reduction of ADHD core symptoms as well as improvements in executive functions. In the current review, we provide a short overview on the neurophysiological mechanisms assumed to underlie the beneficial effects of exercise. Further, we review the current evidence from experimental studies regarding both acute exercise and long-term interventions in ADHD. While the positive effects observed after acute aerobic exercise are promising, very few well-designed long-term intervention studies have been conducted yet. Moreover, although exercise effects have not yet been studied in borderline personality disorder (BPD), in the end of this paper we derive hypotheses why exercise could also be beneficial for this patient population.

Clinical characterization of children and adolescents with NF1 microdeletions

PURPOSE

An estimated 5-11% of patients with neurofibromatosis type 1 (NF1) harbour NF1 microdeletions encompassing the NF1 gene and its flanking regions. The purpose of this study was to evaluate the clinical phenotype in children and adolescents with NF1 microdeletions.

METHODS

We retrospectively analysed 30 children and adolescents with NF1 microdeletions pertaining to externally visible neurofibromas. The internal tumour load was determined by volumetry of whole-body magnetic resonance imaging (MRI) in 20 children and adolescents with NF1 microdeletions. Furthermore, the prevalence of global developmental delay, autism spectrum disorder and attention deficit hyperactivity disorder (ADHD) were evaluated.

RESULTS

Children and adolescents with NF1 microdeletions had significantly more often cutaneous, subcutaneous and externally visible plexiform neurofibromas than age-matched patients with intragenic NF1 mutations. Internal neurofibromas were detected in all 20 children and adolescents with NF1 microdeletions analysed by whole-body MRI. By contrast, only 17 (61%) of 28 age-matched NF1 patients without microdeletions had internal tumours. The total internal tumour load was significantly higher in NF1 microdeletion patients than in NF1 patients without microdeletions. Global developmental delay was observed in 28 (93%) of 30 children with NF1 microdeletions investigated. The mean full-scale intelligence quotient in our patient group was 77.7 which is significantly lower than that of patients with intragenic NF1 mutations. ADHD was diagnosed in 15 (88%) of 17 children and adolescents with NF1 microdeletion. Furthermore, 17 (71%) of the 24 patients investigated had T-scores ≥ 60 up to 75, indicative of mild to moderate autistic symptoms, which are consequently significantly more frequent in patients with NF1 microdeletions than in the general NF1 population. Also, the mean total T-score was significantly higher in patients with NF1 microdeletions than in the general NF1 population.

CONCLUSION

Our findings indicate that already at a very young age, NF1 microdeletions patients frequently exhibit a severe disease manifestation which requires specialized long-term clinical care.

Association of water fluoride and urinary fluoride concentrations with attention deficit hyperactivity disorder in Canadian youth

BACKGROUND

Exposure to fluoride has been linked with increased prevalence of attention deficit hyperactivity disorder (ADHD) in the United States and symptoms of inattention in Mexican children. We examined the association between fluoride exposure and attention outcomes among youth living in Canada.

METHOD

We used cross-sectional data collected from youth 6 to 17 years of age from the Canadian Health Measures Survey (Cycles 2 and 3). Urinary fluoride concentration adjusted for specific gravity (UFSG) was available for 1877 participants. Water fluoride concentration measured in tap water samples was available for 980 participants. Community water fluoridation (CWF) status was determined by viewing reports on each city's website or contacting the water treatment plant. We used logistic regression to test the association between the three measures of fluoride exposure and ADHD diagnosis. Linear regression was used to examine the relationship between the three measures of fluoride exposure and the hyperactivity/inattention score on the Strengths and Difficulties Questionnaire (SDQ).

RESULTS

UF_SG did not significantly predict ADHD diagnosis or hyperactive/inattentive symptoms. A 1 mg/L increase in tap water fluoride level was associated with a 6.1 times higher odds of an ADHD diagnosis (95% CI = 1.60, 22.8). A significant interaction between age and tap water fluoride level (p = .03) indicated a stronger association between tap water fluoride and hyperactivity/inattention symptoms among older youth. A 1 mg/L increase in water fluoride level was associated with a 1.5 SDQ score increase (95% CI: 0.23, 2.68, p = .02) for youth at the 75th percentile of age (14 years old). Similarly, there was a significant interaction between age and CWF. At the 75th percentile of age (14 years old), those living in a fluoridated region had a 0.7-point higher SDQ score (95% CI = 0.34, 1.06, p < .01) and the predicted odds of an ADHD diagnosis was 2.8 times greater compared with youth in a non-fluoridated region (aOR = 2.84, 95% CI: 1.40, 5.76, p < .01).

DISCUSSION

Exposure to higher levels of fluoride in tap water is associated with an increased risk of ADHD symptoms and diagnosis of ADHD among Canadian youth, particularly among adolescents. Prospective studies are needed to confirm these results.

Age-related differences in frontal lobe function in children with ADHD

BACKGROUND

The neural correlates of executive function disorders are thought to be predominantly localized within the prefrontal cortex (PFC). However, no study to date has investigated changes in this system across different age groups in children with attention deficit hyperactivity disorder (ADHD). Thus, this study aimed to explore changes in PFC function in children with ADHD.

METHODS

Study participants included typically developing (TD) children (n = 140) and children with ADHD (n = 67) of primary school age. Behavioral executive functions and their neural basis were evaluated between the TD children and children with ADHD and also across different age periods (younger and older children). To examine executive function, inhibitory control was assessed using the reverse Stroop task, and PFC near-infrared spectroscopic measurements were used to investigate the neural mechanisms involved.

RESULTS

Both ADHD symptoms and the ability to inhibit color interference improved with age. Compared to TD children, children with ADHD demonstrated decreased activation of the right and middle PFC across all age groups. Interestingly, the left PFC appeared to play a compensatory role.

CONCLUSION

Children with ADHD exhibited changes in PFC function that varied with age. Longitudinal studies are required to assess the potential of using PFC function as an early biomarker of ADHD.

Attention Deficit/Hyperactivity, the Metabolic Syndrome, and Type 2 Diabetes

PURPOSE OF REVIEW

To present current data on the coexistence of attention deficit hyperactivity disorder (ADHD) and the metabolic syndrome and type 2 diabetes mellitus in adults and children and to discuss possible mechanisms.

RECENT FINDINGS

Emerging data suggest that risk factors for obesity and insulin resistance such as diabetes during pregnancy and intrauterine growth failure may also have a role in the development of ADHD. Furthermore, ADHD and obesity share lifestyle factors, such as abnormal eating patterns, binge eating, and a sedentary lifestyle. ADHD is a risk factor for components of the metabolic syndrome, particularly obesity and type 2 diabetes mellitus, and also hypertension, both in adults and youth. Associations of ADHD with obesity, diabetes, and hypertension have been ascertained, and various mechanisms have been proposed. Research is needed to decipher the shared genetic, pharmacological, and lifestyle risk factors. Individuals with ADHD should be treated as a high-risk group for cardiometabolic complications.

Towards a fuller assessment of benefits to children's health of reducing air pollution and mitigating climate change due to fossil fuel combustion

BACKGROUND

Fossil fuel combustion by-products, including particulate matter (PM_2.5), polycyclic aromatic hydrocarbons (PAH), nitrogen dioxide (NO₂) and carbon dioxide (CO₂), are a significant threat to children's health and equality. Various policies to reduce emissions have been implemented to reduce air pollution and mitigate climate change, with sizeable estimated health and economic benefits. However, only a few adverse outcomes in children have been considered, resulting in an undercounting of the benefits to this vulnerable population.

OBJECTIVES

Our goal was to expand the suite of child health outcomes addressed by programs to assess health and economic benefits, such as the Environmental Protection Agency (EPA) Benefits Mapping and Analysis Program (BenMAP), by identifying concentration-response (C-R) functions for six outcomes related to PM_2.5, NO₂, PAH, and/or PM₁₀: preterm birth (PTB), low birthweight (LBW), autism, attention deficit hyperactivity disorder, IQ reduction, and the development of childhood asthma.

METHODS

We conducted a systematic review of the literature published between January 1, 2000 and April 30, 2018 to identify relevant peer-reviewed case-control and cohort studies and meta-analyses. In some cases meta-analyses were available that provided reliable C-R functions and we assessed their consistency with subsequent studies. Otherwise, we reviewed all eligible studies published between our search dates.

RESULTS

For each pollutant and health outcome, we present the characteristics of each selected study. We distinguish between C-R functions for endpoints having a causal or likely relationship (PTB, LBW, autism, asthma development) with the pollutants for incorporation into primary analyses and endpoints having a suggestive causal relationship with the pollutants (IQ reduction, ADHD) for secondary analyses.

CONCLUSION

We have identified C-R functions for a number of adverse health outcomes in children associated with air pollutants largely from fossil fuel combustion. Their incorporation into expanded assessments of health benefits of clean air and climate mitigation policies will provide an important incentive for preventive action.

Aural and nasal foreign bodies in children - Epidemiology and correlation with hyperkinetic disorders, developmental disorders and congenital malformations

OBJECTIVES

Foreign body incorporation in children is often a serious situation. Attention deficit hyperactivity disorder (ADHD) could be a risk factor for self-insertion of foreign bodies. Large cohort analyses are missing.

METHODS

This was a retrospective analysis of patients' records from a health insurance company representing 2.19% of the German population and 1.75% of German children and adolescents. According to the International Classification of Diseases, children in the age range between 1 and 18 years have been screened for foreign bodies in ear, nasal sinus and nostrils as well as for hyperkinetic disorders (F90), disorders of psychological development (F80-F89), and congenital malformations, deformations and chromosomal abnormalities (Q00-Q99).

RESULTS

In total, 12887 children (6609 male; 6278 female) have been treated in 16929 cases. The majority (n = 10041 (77.9%)) presented with foreign body incorporation on a single occasion. On average, 1.31 cases of foreign body treatment were recorded per child; 14.1% of children with foreign body treatment (FBT) also had a record of hyperkinetic disorder, 52.7% had a disorder of psychological development, and 50.8% a congenital malformation. Mean occurrence of FBT was 174.8 days before the diagnosis of a hyperkinetic disorder but 517.2 days after the diagnosis of a psychological development disorder and 683.1 days after the diagnosis of a congenital malformation, deformation or chromosomal abnormality.

CONCLUSION

Patients with disorders of psychological development as well as children with congenital malformations are high-risk patients for nasal and aural foreign bodies. The prevalence of a hyperkinetic disorder in patients with FBT is much higher than in the normal population. ADHD is a risk factor for foreign bodies.

Evaluation of the diagnostic implications of Das-Naglieri cognitive assessment system in children with attention deficit hyperactivity disorder

BACKGROUND

Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental characterized by attention deficit, hyperactivity, emotional impulses and difficulty with cognitive functions. The Das-Naglieri Cognitive Assessment System (DN: CAS), as a theory-driven assessment kit, was explored based on Planning, Attention, Simultaneous, and Successive Theory (PASS). Recent researches have tried to explore the sensitivity and specificity of DN: CAS in diagnosing ADHD; nevertheless, these studies were performed in a small study population. The following study explores the cognitive functions in ADHD by the DN: CAS and to evaluate the DN: CAS's diagnostic value in ADHD.

METHODS

A total of 135 children with ADHD and 140 healthy controls were enrolled to evaluate cognitive function by the DN: CAS. ROC curve and the area under the curve (AUC) were applied to evaluate the diagnostic value of DN: CAS on ADHD.

RESULTS

Compared with healthy controls, children with ADHD had significantly lower scores in Planning, Simultaneous (Verbal-Spatial Relations), Attention in the four Subtests of DN: CAS, as well as the total scores. ROC analysis indicated that Planning and Attention of DN: CAS had good classification accuracy in diagnosing ADHD with AUCs of 0.808 and 0.730, respectively.

CONCLUSIONS

The planning and attention assessment of DN: CAS revealed high sensitivity and specificity in diagnosing ADHD, thus suggesting that DN: CAS might be an effective tool in diagnosing ADHD.

Empathy, social relationship and co-occurrence in young adults with DCD

Empathy is defined as an emotional or cognitive response to another's emotional state. It is considered essential for navigating meaningful social interactions and is closely linked to prosocial behavior. Developmental coordination disorder (DCD) is characterized by an impairment of motor coordination that has a marked impact on both academic and day-to-day living activities. Children and adolescents with DCD have been shown to have less developed social support and friendships. The research linking empathy and DCD is scarce. The aims of this study are to gain an understanding of the relationship between DCD and empathy in young adults with DCD only, and with DCD coupled with other neurodevelopmental disorders, in comparison with typically developing adults.

METHODS

The study included 212 young adults aged 18-40 years. The subjects in this study were from mainstream populations in the UK. The study groups included: (a) "DCD only" with 42 individuals; (b) "DCD + ASD" with 21 individuals; (c) "DCD + ADHD" with 45 individuals; (d) "DCD + ASD + ADHD" with 29 individuals; and (e) the control group of 75 individuals.

RESULTS

ANOVA on the Empathy Questionnaire (EQ) showed a statistically significant difference between groups (F [4,257] = 35.63; p < 0.001; η_p² = 0.409). No significant differences were found between the DCD-only and the control. MANOVA was performed to assess differences in the Socialising and Friendship Questionnaire (SAF-Q) scores. The results showed a statistically significant difference between groups (F [8,257] = 9.98; p < 0.001; η = 0.162). Pearson correlation coefficients were performed, revealing significant high correlations between the EQ and the two parts of the SAF-Q ("past" and "currently").

CONCLUSION

The results of this study indicate that social difficulties in the DCD-only group are not due to lack of empathy, but may be driven by an accumulation of external factors. In this study we also concluded that DCD does not appear to be the factor that reduces the ability to empathize, but rather the presence of ADHD and/or ASD.

Collaborative Care of Attention Deficit Hyperactivity Disorder: An Innovative Partnership to Serve Rural Pediatric Patients

Attention deficit hyperactivity disorder (ADHD) is a common behavioral health disorder in childhood that causes significant impairments in quality of life, home relationships, and school success. Despite a substantial evidence base and corresponding practice guidelines established by the American Academy of Pediatrics that support use of behavioral therapy to treat ADHD, affected patients infrequently receive therapy. This article will review the causes of underuse of behavioral therapy and methods to overcome these barriers such as integrating behavioral health care, thereby creating a pediatric patient-centered medical home. Additionally, a novel practice model of a behavioral health care collaboration being piloted in a rural pediatric office will be presented, including methods to screen, assess, and treat ADHD patients and families within the comfort of the primary care office.

The association between exposure to environmental factors and the occurrence of attention-deficit/hyperactivity disorder (ADHD). A population-based retrospective cohort study

BACKGROUND

A number of factors contribute to attention deficit hyperactivity disorder (ADHD) and although they are not fully known, the occurrence of ADHD seems to be a consequence of an interaction between multiple genetic and environmental factors. However, apart from pesticides, the evidence is inadequate and inconsistent as it differs not only in the population and time period analysed, but also in the type of study, the control of the confounding variables and the statistical methods used. In the latter case, the studies also differ in the adjustment of spatial and temporal variability. Our objective here, is to provide evidence on an association between environmental factors and ADHD.

METHODS

In our study, we used a population-based retrospective cohort in which we matched cases and controls (children free of the disease) by sex and year of birth (n = 5193, 78.9% boys). The cases were children born between 1998 and 2012 and diagnosed with ADHD (n = 116). To evaluate whether there was a geographical pattern in the incidence of ADHD, we first represented the smoothed standardized incidence rates on a map of the region being studied. We then estimated the probability of being a case by using a generalized liner mixed model with a binomial link. As explanatory variables of interest, we included the following environmental variables: distance to agricultural areas, distance to roads (stratified into three categories according to traffic density and intensity), distance to petrol stations, distance to industrial estates, and land use. We control for both observed (individual and family specific variables and deprivation index) and unobserved confounders (in particular, individual and familial heterogeneity). In addition, we adjusted for spatial extra variability.

RESULTS

We found a north-south pattern containing two clusters (one in the centre of the study region and another in the south) in relation to the risk of developing ADHD. The results from the multivariate model suggest that these clusters could be related to some of the environmental variables. Specifically, living within 100 m from an agricultural area or a residential street and/or living fewer than 300 m from a motorway, dual carriageway or one of the industrial estates analysed was associated (statistically significant) with an increased risk of ADHD.

CONCLUSION

Our results indicate that some environmental factors could be associated with ADHD occurring, particularly those associated with exposure to pesticides, organochlorine compounds and air pollutants because of traffic.