Clinical Diagnosis Of Attention Deficit Hyperactivity Disorder Research Articles

Predictors of preschool attention-deficit/hyperactivity disorder diagnosis: a population-based study using national registers.

The diagnosis of attention-deficit/hyperactivity disorder (ADHD) in preschool years (before age 6 years) is a marker of severity and poor prognosis. This study investigated a broad range of predictors of ADHD diagnosis during preschool age. Population-based cohort study using Swedish registers. The final sample consisted of all children born in Sweden between 2001 and 2007 who could be linked to both of their biological parents, excluding those who died or emigrated (n = 631,695). Follow-up was completed December 31, 2013. Cox proportional-hazards models for survival analysis were used to identify the predictors that increased the risk of receiving a clinical diagnosis of ADHD from 3 to 5 years. Hazard ratios (HR) with 95% confidence intervals (CI) were presented for each of the 41 selected predictors covering early-onset psychiatric comorbidities, nonpsychiatric medical conditions, parental history and perinatal factors. At the end of follow-up, 1,686 preschoolers (2.7% of the whole sample) had received a diagnosis of ADHD. We found that 39 out of 41 predictors were associated with increased risk of a later diagnosis of preschool ADHD. Novel associations with preschool ADHD diagnosis were found for gastroesophageal reflux disease (HR = 3.48), premature contractions during pregnancy (HR = 2.03), and criminal conviction history from any parent (HR = 2.14). A large number of novel and well-established predictors of preschool ADHD diagnosis were identified. This broad set of early predictors may direct future clinical research and assist in early identification of preschool ADHD.

Prevalence of pharmacotherapy for attention‐deficit/hyperactivity disorder and prescription stimulant misuse: A national study of US college students

AbstractBackground and aimsIncreasing rates of attention‐deficit/hyperactivity disorder (ADHD) pharmacotherapy may simultaneously benefit patients and increase the availability of stimulants for misuse. We measured the association between university‐level prevalence of ADHD medication treatment and prevalence of prescription stimulant misuse (PSM) among college students.Design, setting and participantsThis was an observational study using cross‐sectional data from the American College Health Association–National College Health Assessment III. Data included 395 participating universities between Fall 2019 and Fall 2022. Our sample included 224 469 undergraduates aged 18–25 years (65.2% cisgender female; 58.7% White).MeasurementsStudents self‐reported any life‐time clinical ADHD diagnosis, past‐year ADHD medication treatment and past‐3‐month PSM. We defined university‐level ADHD medication prevalence as the proportion of included students endorsing past‐year ADHD medication treatment. Secondary outcomes included life‐time PSM and moderate‐ to high‐risk alcohol and cannabis use. We also measured university‐level depression medication prevalence as a negative control exposure.FindingsAmong the included students, 9.6% reported a life‐time clinical ADHD diagnosis, 5.1% reported past‐year medication treatment and 2.4% reported past‐3‐month PSM. The prevalence of ADHD medication treatment varied among universities [mean = 5.3%, standard deviation (SD) = 2.8%]. In adjusted models, prevalence of PSM was 7% relatively greater for every 1% increase in university‐level medication prevalence [adjusted prevalence ratio (aPR) = 1.07; 95% confidence interval (CI) = 1.04–1.09]. Further, individuals with non‐medication‐treated ADHD were 40% more likely to report PSM than those without ADHD (aPR = 1.40; 95% CI = 1.25–1.56). There was no statistically significant difference in PSM among individuals with ADHD who did or did not receive medication (aPR = 0.90; 95% CI = 0.78–1.04). Results for secondary outcomes and the negative control partially supported the specificity of the findings.ConclusionsAmong university students in the United States, there appears to be a positive association between attending universities with a greater prevalence of attention deficit/hyperactivity disorder (ADHD) medication treatment and risk of prescription stimulant misuse (PSM). This study provides further support for the possibility that ADHD medication treatment prevalence is a risk factor for PSM.

Assessing suicidality in adult ADHD patients: prevalence and related factors

BackgroundThe association between Attention-deficit hyperactivity disorder (ADHD) and suicidality has been subject of growing interest for research in the latest years. Suicidality was generally assessed categorically and without the use of validated instruments, leading to heterogeneous or even conflicting evidence. The prevalence of both suicidal ideation and attempts varies considerably, and the associated risk factors remain unclear. Our study investigated suicidality in ADHD using a dimensional approach and a validated and internationally recognized instrument. Our primary aim was to evaluate the prevalence of suicidal ideation (SI), severe suicidal ideation (SSI), suicidal behavior (SB) and non suicidal self-injury behavior (NSSIB) in a sample of adult patients with ADHD. The second objective was to identify sociodemographic and clinical features associated with increased risk of suicidality in these patients.MethodsThe sample included 74 adult patients with clinical diagnosis of ADHD. Suicidality was assessed by administering the Columbia-Suicide Severity Rating Scale. Logistic regressions were used to examine predictors of SI, SSI, SB and NSSIB.ResultsThe lifetime prevalence of SI and SSI were 59.5% and 16.2%, respectively. The 9.5% of patients showed lifetime SB, while NSSIB was found in 10.8% of the subjects. Lifetime SI was associated with severity of inattentive symptoms during adulthood, low self-esteem and impairment in social functioning. Lifetime SSI appeared related to severity of inattentive symptoms during childhood, attentional impulsiveness and number of hospitalizations, while physical activity appeared to be protective. The prevalence of lifetime SB and NSSIB did not appear significantly related to any socio-demographic or clinical feature.ConclusionsAdults with ADHD should be considered at risk of suicide and it is important to determine which patients are at higher risk, in order to guide preventive interventions. The association between ADHD and suicidal ideation did not appear to be influenced by psychiatric comorbidities, but rather by inattention itself, which represents the core symptom of ADHD.

Cognitive heterogeneity in Attention Deficit Hyperactivity Disorder: Implications for maths.

This study investigated whether cognitive function better predicted maths test performance than a clinical diagnosis of attention deficit hyperactivity disorder (ADHD). Forty-four drug naïve children (Mage = 101.34 months, SD = 19.39; 30% girls) were recruited from clinical ADHD referral waiting lists. Children underwent assessment of Executive Functions (EF), lower-level cognitive processes, and maths performance. Children were grouped using a categorical approach comprising (1) children with a clinical ADHD diagnosis and (2) children without a diagnosis (i.e., subthreshold ADHD). Secondly, hierarchical cluster analysis generated subgroups of children using EF scores. Children were compared on cognition, maths, and parent-rated symptoms of ADHD and co-occurring difficulties. Children's diagnostic outcomes did not differentiate maths performance. By contrast, EF subgroups generated meaningful cognitive clusters which differentiated maths test scores. This suggests that cognitive patterns of performance, rather than children's diagnostic outcomes, are more informative for identifying meaningful groups with variable maths performance which has implications for remedial support.

Deliberate self-harm in adolescents screening positive for attention-deficit / hyperactivity disorder: a population-based study

BackgroundAdolescents with attention-deficit / hyperactivity disorder (ADHD) have an increased risk of self-harm. The risk of self-harm among adolescents who display an elevated level of ADHD symptoms, but without a formal diagnosis, is not well-studied and understood.ObjectiveTo investigate the relationship between self-reported symptoms of ADHD and self-harm in a population-based sample of adolescents.MethodsAdolescents in the population-based youth@hordaland study were invited to complete the Adult ADHD Self-Report Scale (ASRS) and the Short Mood and Feelings Questionnaire (SMFQ). They were asked whether they ever deliberately have taken an overdose or tried to harm themselves on purpose, once or multiple times, defined according to the code used in the Child and Adolescent Self-harm in Europe (CASE) Study. Adolescents reporting severe problems on ≥ four of six selected items on the ASRS-v 1.1 screener were defined as ADHD-screen positive (ADHD-SC+), and the remaining sample as ADHD-screen negative (ADHD-SC-). SMFQ score ≥ 12 was used to define a high level of depressive symptoms.ResultsA total of 9692 adolescents (mean age 17.4 years, 53.1% females) participated in the study, of which 2390 (24.7%) screened positive on the ASRS. ADHD-SC+ adolescents engaged in self-harm more often than the ADHD-SC- group (14.6% vs. 5.4%, OR = 3.02, 95%CI [2.57–3.24]). This remained significant after adjustment for demographic variables, SMFQ score ≥ 12, symptoms of conduct disorder and familial history of self-harm and suicide attempts (OR = 1.58, 95%CI [1.31–1.89]). They were also more likely to report an overdose as their method of self-harm (OR = 1.52, 95%CI [1.05–2.23]). Within the ADHD-SC+ group female sex, high levels of inattention and hyperactivity/impulsivity symptoms, SMFQ score ≥ 12, symptoms indicating conduct disorder and familial history of self-harm and suicide attempts increased the likelihood of engaging in deliberate self-harm.ConclusionAdolescents who screened positive for ADHD had increased risk of engaging in self-harm. Clinicians should consider the increased risk of such engagement in adolescents who present with high level of ADHD symptoms, even in the absence of a clinical ADHD diagnosis.

Electrophysiological functional connectivity and complexity reflecting cognitive processing speed heterogeneity in young children with ADHD

Early intervention is imperative for young children with attention-deficit/hyperactivity disorder (ADHD) who manifest heterogeneous neurocognitive deficits. The study investigated the functional connectivity and complexity of brain activity among young children with ADHD exhibiting a fast cognitive processing speed (ADHD-F, n = 26), with ADHD exhibiting a slow cognitive processing speed (ADHD-S, n = 17), and typically developing children (n = 35) using wireless electroencephalography (EEG) during rest and task conditions. During rest, compared with the typically developing group, the ADHD-F group displayed lower long-range intra-hemispheric connectivity, while the ADHD-S group had lower frontal beta inter-hemispheric connectivity. During task performance, the ADHD-S group displayed lower frontal beta inter-hemispheric connectivity than the typically developing group. The ADHD-S group had lower frontal inter-hemispheric connectivity in broader frequency bands than the ADHD-F group, indicating ADHD heterogeneity in mental processing speed. Regarding complexity, the ADHD-S group tended to show lower frontal entropy estimators than the typically developing group during the task condition. These findings suggest that the EEG profile of brain connectivity and complexity can aid the early clinical diagnosis of ADHD, support subgrouping young children with ADHD based on cognitive processing speed heterogeneity, and may contain specific novel neural biomarkers for early intervention planning.

INTEGRATE-ADHD: Comparison and Integration of Administrative and Epidemiological ADHD Diagnosis Data through Clinical Assessment - Presentation of the Project

As one of the most frequently diagnosed mental disorders in children and adolescents with sometimes serious individual, family and social consequences, attention deficit/hyperactivity disorder (ADHD) is highly relevant to society and health policy. In Germany, data from statutory health insurance companies has reported increasing ADHD diagnosis prevalence rates over years, while epidemiological data has shown constant and recently even decreasing prevalence rates. The clinical validity of diagnoses from either data sources is unknown. In the framework of the consortium project INTEGRATE-ADHD, 5461 parents of children aged 0 to 17 years with a confirmed administrative ADHD diagnosis insured with the third-largest German statutory health insurance provider (DAK-Gesundheit) in at least one quarter of 2020 were surveyed with the questionnaires from the epidemiological German Health Interview and Examination Survey (KiGGS study) and its in-depth module on child mental health (BELLA study) on their child's ADHD diagnosis and symptoms and on other topics, including comorbidity, utilisation of healthcare services, quality of care and satisfaction, psychosocial risk and protective factors and health-related quality of life. In addition, a subsample of 202 children and adolescents with a clinical diagnosis based on the AMWF S3 guideline on ADHD was analysed. An important aim of the project is to use data linkage on person-level to identify possible causes for the often divergent prevalence estimates from epidemiological and administrative data and to integrate and validate the data sources using a guideline-based clinical diagnosis, thereby contributing to a more accurate population-based prevalence estimate of ADHD in children and adolescents and clarifying actual or supposed contradictions between the data sources. The INTEGRATE-ADHD data linkage project combines administrative, epidemiological and clinical ADHD diagnosis data to create a "three-dimensional view" of the ADHD diagnosis. The results will be used to identify fields of action for healthcare policy and self-administration in the German healthcare system and to derive recommendations for the actors and stakeholders in the field of ADHD. The first results will be published in 2024.

Effectiveness of a Virtual Reality Serious Video Game (The Secret Trail of Moon) for Emotional Regulation in Children With Attention-Deficit/Hyperactivity Disorder: Randomized Clinical Trial.

Difficulties in emotional regulation are often observed in children and adolescents with attention-deficit/hyperactivity disorder (ADHD). Innovative complementary treatments, such as video games and virtual reality, have become increasingly appealing to patients. The Secret Trail of Moon (MOON) is a serious video game developed by a multidisciplinary team featuring cognitive training exercises. In this second randomized clinical trial, we evaluated the impact of a 20-session treatment with MOON on emotional regulation, as measured by the Strengths and Difficulties Questionnaire. We hypothesize that patients with ADHD using MOON will show improvements in (1) emotional regulation, (2) core ADHD symptoms, (3) cognitive functioning, and (4) academic performance, compared to a control group; additionally, we anticipate that (5) changing the platform (from face-to-face using virtual reality to the web) will not affect emotional regulation scores; and (6) the video game will not cause any clinically significant side effects. This was a prospective, unicentric, randomized, unblinded, pre- and postintervention study with block-randomized sequence masking. Participants included individuals aged between 7 and 18 years who had a clinical diagnosis of ADHD and were receiving pharmacological treatment. They were randomized into 2 groups using an electronic case report form: the MOON group, receiving standard pharmacological treatment plus personalized cognitive training via a serious video game, and the control group, receiving standard pharmacological treatment. We provided both the groups with psychoeducational support on ADHD. Analysis was conducted using the Student 2-tailed t test and 2-factor ANOVA. An independent monitor supervised the study. A total of 76 patients with ADHD participated in the trial, with an equal randomization (MOON: n=38, 50% and control: n=38, 50%) and a total dropout rate of 7. The primary hypothesis, a 3- or 4-point reduction in the global Strengths and Difficulties Questionnaire score, was not met. However, significant improvements were observed in material organization (P=.03), working memory (P=.04), and inhibition (P=.05), particularly among patients more engaged with the MOON treatment. Serious video games, when integrated into a multimodal treatment plan, can enhance outcomes for symptoms associated with ADHD. ClinicalTrials.gov NCT06006871; https://clinicaltrials.gov/study/NCT06006871. RR2-10.2196/53191.

Social Functioning in Children and Adolescents with ADHD and Autism Spectrum Disorder: A Cross-Disorder Comparison

ABSTRACT Objective Social functioning can be defined according to three main components: social perception, social performance, and social knowledge. Although they are important in daily life relationships and in children’s adaptation, these components have never been tested together in children and adolescents with Attention Deficit/Hyperactivity Disorder (ADHD) or with Autism Spectrum Disorder (ASD) using lab-based tasks. The present study used a cross-disorder approach to compare the performance of children with ADHD and ASD and non-diagnosed (ND) peers utilizing a task that involves these three fundamental social functioning components. Methods Two hundred and twenty-five Italian children (86% boys) aged between 8 and 16 (66 with a clinical diagnosis of ADHD; 51 with a clinical diagnosis of ASD, level 1; 108 ND children) were enrolled. The three groups were matched for age, gender, and IQ. Social functioning was assessed using a lab-based task, including videos of problematic interactions among peers, created ad hoc for the study, and a semi-structured interview based on the Social Information Processing model. Results Data were analyzed using one-way ANOVAs and multinomial mixed effects models. Our findings suggested that both groups with ADHD and ASD presented social functioning difficulties in comparison to ND children. However, a different pattern of performance emerged. Children with ADHD showed higher difficulties in social performance than those with ASD, whereas autistic children revealed more difficulties in social perception and in some aspects of social knowledge. Conclusions Our findings have important clinical implications for assessment, intervention, and differential diagnosis, and should encourage clinicians to investigate different aspects of social functioning and identify specific strengths and weaknesses in each social profile.

Auxiliary Diagnosis of Children With Attention-Deficit/Hyperactivity Disorder Using Eye-Tracking and Digital Biomarkers: Case-Control Study.

Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in school-aged children. The lack of objective biomarkers for ADHD often results in missed diagnoses or misdiagnoses, which lead to inappropriate or delayed interventions. Eye-tracking technology provides an objective method to assess children's neuropsychological behavior. The aim of this study was to develop an objective and reliable auxiliary diagnostic system for ADHD using eye-tracking technology. This system would be valuable for screening for ADHD in schools and communities and may help identify objective biomarkers for the clinical diagnosis of ADHD. We conducted a case-control study of children with ADHD and typically developing (TD) children. We designed an eye-tracking assessment paradigm based on the core cognitive deficits of ADHD and extracted various digital biomarkers that represented participant behaviors. These biomarkers and developmental patterns were compared between the ADHD and TD groups. Machine learning (ML) was implemented to validate the ability of the extracted eye-tracking biomarkers to predict ADHD. The performance of the ML models was evaluated using 5-fold cross-validation. We recruited 216 participants, of whom 94 (43.5%) were children with ADHD and 122 (56.5%) were TD children. The ADHD group showed significantly poorer performance (for accuracy and completion time) than the TD group in the prosaccade, antisaccade, and delayed saccade tasks. In addition, there were substantial group differences in digital biomarkers, such as pupil diameter fluctuation, regularity of gaze trajectory, and fixations on unrelated areas. Although the accuracy and task completion speed of the ADHD group increased over time, their eye-movement patterns remained irregular. The TD group with children aged 5 to 6 years outperformed the ADHD group with children aged 9 to 10 years, and this difference remained relatively stable over time, which indicated that the ADHD group followed a unique developmental pattern. The ML model was effective in discriminating the groups, achieving an area under the curve of 0.965 and an accuracy of 0.908. The eye-tracking biomarkers proposed in this study effectively identified differences in various aspects of eye-movement patterns between the ADHD and TD groups. In addition, the ML model constructed using these digital biomarkers achieved high accuracy and reliability in identifying ADHD. Our system can facilitate early screening for ADHD in schools and communities and provide clinicians with objective biomarkers as a reference.

The diagnostic effect of integrated visual and auditory continuous performance and event-related potentials in ADHD.

The development of objective assessment tools for attention deficit hyperactivity disorder (ADHD) has become a hot research topic. The aim was to explore the value of the P300 wave and integrated visual and auditory continuous performance test (IVA-CPT) in diagnosing ADHD. We enrolled 30 patients with ADHD and 30 age-matched healthy volunteers in a prospective study to evaluate differences in IVA-CPT and P300 indexes using student t test. These tools' accuracy in identifying ADHD patients was evaluated using receiver operating characteristic curve analysis. Additionally, the correlation between P300 and IVA-CPT in ADHD patients was evaluated using Pearson correlation analysis. Compared with healthy volunteers, ADHD patients showed longer latency and lower amplitude, and had lower scores of IVA-CPT (P<0.01). There was no significant difference of latency, amplitude, and area below the amplitude of the P300 wave and in the score of IVA-CPT for age and gender within-ADHD groups (P>0.05). Moreover, receiver operating characteristic (ROC) curve showed high accuracy of P300 and IVA-CPT in identifying ADHD patients. Furthermore, both P300 index and IVA-CPT had high accuracy and performance in identification of ADHDin, ADHDhi, and ADHDcom. However, for different subtypes of ADHD, no significant differences were observed of ROC curves between subgroups (P>0.05). In addition, the performance in IVA-CPT was positively correlated with the amplitude, and negatively correlated with the latency of P300. These results support the discriminant validity of P300 and IVA-CPT in distinguishing ADHD patients, providing a theoretical basis for P300 and IVA-CPT testing in the clinical diagnosis of ADHD.

Illuminating the daily life experiences of adolescents with and without ADHD: protocol for an ecological momentary assessment study

IntroductionAdolescents with attention-deficit/hyperactivity disorder (ADHD) are at elevated risk of a range of difficulties, among which emotion regulation, peer and co-occurring mental health problems are prominent challenges. To better support...

Classification of attention deficit/hyperactivity disorder based on EEG signals using a EEG-Transformer model ∗ ∗This work was supported in part by the National Key R&D Program of China (2022YFE0197500), National Natural Science Foundation of China (#81927804, #62101538), Science and Technology Planning Project of Shenzhen (#JSGG20210713091808027, #JSGG20211029095801002), China Postdoctoral Science Foundation (2022M710968), and the Science and Technology Program of Guangdong Province

Objective. Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder in adolescents that can seriously impair a person’s attention function, cognitive processes, and learning ability. Currently, clinicians primarily diagnose patients based on the subjective assessments of the Diagnostic and Statistical Manual of Mental Disorders-5, which can lead to delayed diagnosis of ADHD and even misdiagnosis due to low diagnostic efficiency and lack of well-trained diagnostic experts. Deep learning of electroencephalogram (EEG) signals recorded from ADHD patients could provide an objective and accurate method to assist physicians in clinical diagnosis. Approach. This paper proposes the EEG-Transformer deep learning model, which is based on the attention mechanism in the traditional Transformer model, and can perform feature extraction and signal classification processing for the characteristics of EEG signals. A comprehensive comparison was made between the proposed transformer model and three existing convolutional neural network models. Main results. The results showed that the proposed EEG-Transformer model achieved an average accuracy of 95.85% and an average AUC value of 0.9926 with the fastest convergence speed, outperforming the other three models. The function and relationship of each module of the model are studied by ablation experiments. The model with optimal performance was identified by the optimization experiment. Significance. The EEG-Transformer model proposed in this paper can be used as an auxiliary tool for clinical diagnosis of ADHD, and at the same time provides a basic model for transferable learning in the field of EEG signal classification.

Risk factors of suicidal spectrum behaviors in adults and adolescents with attention-deficit / hyperactivity disorder – a systematic review

IntroductionAdolescents and adults with attention-deficit/hyperactivity disorder (ADHD) are at increased risk of suicidal spectrum behaviors (SSBs). However, there is limited knowledge about risk factors triggering SSBs in this group of people.ObjectiveTo explore published literature concerning factors that may increase the risk of SSBs in adults and adolescents with ADHD.MethodsA systematic literature search following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was conducted on 22nd of February 2022 using the Ovid MEDLINE and Web of Science databases. Three categories of search terms were used: (1) self-harm, self-injury, self-mutilation, suicide, self-poisoning; (2) adults, adolescents; and (3) attention-deficit hyperactivity disorder/ADHD. Studies with data concerning mediating factors of SSBs in relation to a clinical diagnosis of ADHD in participants above 16 years of age were included.ResultsThe literature search identified 604 articles, of which 40 were included in the final study selection. Factors found to increase the likelihood of SSBs included ADHD symptom severity and persistence, female gender, family history of ADHD, childhood and parental influences, and social functioning. Even when adjusting for psychiatric comorbidities, most studies showed that adults and adolescents with ADHD have an elevated risk of SSBs.ConclusionThis systematic review has documented that several demographic and clinical features are associated with an increased risk of SSBs in adolescents and adults with ADHD. Notably, ADHD emerges as an independent risk factor for SSBs. This information ought to have clinical implications in terms of screening and suicide prevention strategies. Further longitudinal studies are needed to investigate the outcome of preventive strategies in individuals along the full spectrum of ADHD symptom severity.

Attention deficit hyperactivity disorder in patients with seizures: Functional seizures vs. epilepsy

BackgroundWe investigated the rates of positive screening for attention deficit-hyperactivity disorder (ADHD) in adults with seizures [i.e., focal epilepsy vs. idiopathic generalized epilepsy (IGE) vs. functional seizures (FS)]. We hypothesized that the rates of positive screening for ADHD are different between these three groups of patients. MethodsThis was a cross sectional study. Patients, 19 to 55 years of age, with a diagnosis of IGE, focal epilepsy or FS were investigated at the outpatient epilepsy clinic at Shiraz University of Medical Sciences, Shiraz, Iran, from September 2022 until January 2023 and during their follow-up visits. We used the validated Persian version of Adult ADHD Self-Report Scale (ASRS v1.1)15 to investigate and screen for ADHD in these patients. ResultsForty patients with focal epilepsy, 40 with IGE, and 40 with FS were included. Attention deficit-hyperactivity disorder (ADHD) screening was positive in 35% of patients with FS, in 30% of those with focal epilepsy (compared with FS, p = 0.633), and in 10% of patients with IGE (compared with FS, p = 0.007). ConclusionAdult patients with functional seizures and those with focal epilepsy are at a high risk of self-reporting experiences that could be characteristic of ADHD. Screening tools [e.g., Adult ADHD Self-Report Scale (ASRS v1.1)] are useful to help clinicians address seizure comorbidities such as ADHD. However, a clinical diagnosis of ADHD should be ascertained in a patient with positive screening.

Hippocampal Volume in Children with Attention Deficit Hyperactivity Disorder and Speech and Language Delay.

Hippocampus is a complex brain structure located deep in the temporal lobes of the brain. The structure has been implicated in several disorders related to cognition. Reports are emerging of its involvement in attention deficit hyperactivity disorder (ADHD). The current study was planned to assess the volume of the hippocampus in children with ADHD and speech and language delay with normal birth history using magnetic resonance imaging (MRI) of the brain. MRI brain of 12 children (age range = 3-6 years) and 22 controls with clinical diagnosis of ADHD as per Diagnostic and Statistical Manual-5 were obtained in oblique coronal sequence (T1 weighted). The entire hippocampus formation was outlined manually using Image-J software available freely from www.freesurfer.com. Results were expressed as volume cubic millimeters ± SD. Volumes of the hippocampi of children with ADHD were 2450.2 ± 667 mm3 (R) and 2505.8 ± 878.5 mm3 (L), respectively. The mean volume (bilateral) of the cases was 2478 ± 772.75 mm3. The right hippocampal volume of the controls was 3255.8 ± 1374.3 mm3 (R) and that of the left side was 3159.3 ± 1451 (L) mm3, respectively. Current study reported a substantial shrinkage (23%) of the left and right hippocampus in children with ADHD compared to controls.

How does attention deficit hyperactivity disorder affect children’s road-crossing? A case-control study

Objective: Children diagnosed with attention-deficit/hyperactivity disorder (ADHD) may have particularly high pedestrian injury risk given their deficits in attention, inhibition, and concentration. The aims of this study were a) to assess differences in pedestrian skill between children with ADHD and typically-developing children and b) to examine relations between pedestrian skill and attention, inhibition, and executive function among children with ADHD as well as among typically-developing children. Methods: A sample of 50 children with mean age of 9 years participated, 56% of them diagnosed with ADHD. Children completed IVA + Plus, an auditory-visual test evaluating impulse response control and attention and then engaged in a Mobile Virtual Reality (MVR) pedestrian task to assess pedestrian skills. Parents completed the Barkley’s Deficits in Executive Functions Scale-Child & Adolescents (BDEFS-CA) to rate children’s executive function. Children with ADHD engaged in the experiment off any ADHD medications. Results: Independent samples t-tests indicated significant differences between the two groups in all IVA + Plus and BDEFS_CA scores, supporting the clinical diagnoses of ADHD and the distinction between the two groups. Independent samples t-tests also indicated differences in pedestrian behavior: Children in the ADHD group had significantly higher numbers of unsafe crossings in the MVR environment. Partial correlations within samples stratified by ADHD status indicated that for both groups of children, there were positive correlations between unsafe pedestrian crossings and executive dysfunction. There were no relations between IVA + Plus attentional measures and unsafe pedestrian crossings in either group. A linear regression model predicting unsafe crossings was significant, with children with ADHD more likely to cross in a risky manner after controlling for executive dysfunction and child age. Conclusions: ADHD children exhibited riskier street-crossing behavior in the MVR, confirming an increased risk of pedestrian injury among children with ADHD compared to typically-developing children. Risky crossing among the typically-developing children and ADHD was related to deficits in executive function. Implications are discussed in relation to parenting and professional practice.

Genetic risk for attention-deficit/hyperactivity disorder predicts cognitive decline and development of Alzheimer's disease pathophysiology in cognitively unimpaired older adults.

Attention-deficit/hyperactivity disorder (ADHD) persists in older age and is postulated as a risk factor for cognitive impairment and Alzheimer's Disease (AD). However, these findings rely primarily on electronic health records and can present biased estimates of disease prevalence. An obstacle to investigating age-related cognitive decline in ADHD is the absence of large-scale studies following patients with ADHD into older age. Alternatively, this study aimed to determine whether genetic liability for ADHD, as measured by a well-validated ADHD polygenic risk score (ADHD-PRS), is associated with cognitive decline and the development of AD pathophysiology in cognitively unimpaired (CU) older adults. We calculated a weighted ADHD-PRS in 212 CU individuals without a clinical diagnosis of ADHD (55-90 years). These individuals had baseline amyloid-β (Aβ) positron emission tomography, longitudinal cerebrospinal fluid (CSF) phosphorylated tau at threonine 181 (p-tau181), magnetic resonance imaging, and cognitive assessments for up to 6 years. Linear mixed-effects models were used to test the association of ADHD-PRS with cognition and AD biomarkers. Higher ADHD-PRS was associated with greater cognitive decline over 6 years. The combined effect between high ADHD-PRS and brain Aβ deposition on cognitive deterioration was more significant than each individually. Additionally, higher ADHD-PRS was associated with increased CSF p-tau181 levels and frontoparietal atrophy in CU Aβ-positive individuals. Our results suggest that genetic liability for ADHD is associated with cognitive deterioration and the development of AD pathophysiology. Findings were mostly observed in Aβ-positive individuals, suggesting that the genetic liability for ADHD increases susceptibility to the harmful effects of Aβ pathology.

Effect of comorbid ADHD on mortality in women with borderline personality disorder

BackgroundMany similarities exist between borderline personality disorder (BPD) and attention-deficit/hyperactivity disorder (ADHD), more so in women than in men. People with comorbid ADHD and BPD represent a subgroup of BPD patients with distinct symptom expression and, consequently, a different prognosis. We used Swedish national high quality registers to assess whether such comorbidity is related to increased mortality risk. The study focused on women with BPD because they are more likely than men to be clinically diagnosed with BPD and present a higher mortality risk, especially for unnatural causes of death, including suicide.FindingsIn a cohort of 15 847 women diagnosed with BPD a subsequent clinical diagnosis of ADHD did not influence the overall risk of mortality, including suicide.ConclusionsWomen with comorbid ADHD and BPD have a similar mortality risk as those only diagnosed with BPD.

Association of Parent-Rated Sleep Disturbances With Attention-Deficit/Hyperactivity Disorder Symptoms: 9-Year Follow-up of a Population-Based Cohort Study

Symptoms of attention-deficit/hyperactivity disorder (ADHD) and sleep disturbances frequently co-occur, and can result in significant functional impairments that worsen quality of life. Despite a growing number of studies focusing on the association between sleep disturbances and ADHD symptoms over the last 20 years, the directionality of this association from childhood to early adulthood remains unclear. A sample of French parents (n= 1,055) were followed-up over a 9-year period. At children mean ages of 9, 13, and 18 years, parents were interviewed about their children's ADHD symptoms and sleep disturbances. Random-intercept cross-lagged panel models assessed the directionality of the association from childhood to early adulthood. Parent-reported sleep disturbances at a mean age of 13 years predicted increased ADHD symptoms 5 years later. Additional analyses suggested that this effect might be limited to inattentive symptoms, and that ADHD symptoms at a mean age of 9 predicted increased sleep disturbances 4 years later. The present study provides evidence of a directional longitudinal association between parent-reported sleep disturbances and ADHD symptoms from adolescence to early adulthood. Our results highlight the importance of identifying sleep disturbances and ADHD symptoms for the design of preventive interventions. Future studies investigating this association in children with a clinical diagnosis of ADHD have the potential to provide important information for clinical practice.