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Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit combinations of inattention, impulsiveness, and hyperactivity. With early treatment and diagnosis, there is potential to modify neuronal connections and improve symptoms. However, the heterogeneous nature of ADHD, combined with its comorbidities and a global shortage of diagnostic clinicians, means diagnosis of ADHD is often delayed. Hence, it is important to consider other pathways to improve the efficiency of early diagnosis, including the role of artificial intelligence. In this study, we reviewed the current literature on machine learning and deep learning studies on ADHD diagnosis and identified the various diagnostic tools used. Subsequently, we categorized these studies according to their diagnostic tool as brain magnetic resonance imaging (MRI), physiological signals, questionnaires, game simulator and performance test, and motion data. We identified research gaps include the paucity of publicly available database for all modalities in ADHD assessment other than MRI, as well as a lack of focus on using data from wearable devices for ADHD diagnosis, such as ECG, PPG, and motion data. We hope that this review will inspire future work to create more publicly available datasets and conduct research for other modes of ADHD diagnosis and monitoring. Ultimately, we hope that artificial intelligence can be extended to multiple ADHD diagnostic tools, allowing for the development of a powerful clinical decision support pathway that can be used both in and out of the hospital. •Review on studies that had used machine learning and deep learning techniques for ADHD diagnosis.•Various diagnostic tools of ADHD were identified: MRI, EEG, questionnaires, motion data, performance test, etc.•We discovered that, except for MRI, there are lack of publicly available datasets for all modalities used in ADHD assessment.•~75% of the studies proposed machine learning models, but deep learning models have grown in popularity in recent years.•Data from wearable devices such as the ECG, PPG, and accelerometer are underutilized for ADHD diagnosis.

(1) Background: Recently, a growing number of studies have provided evidence to suggest a strong correlation between air pollution exposure and attention-deficit/hyperactivity disorder (ADHD). In this study, we assessed the relationship between early-life exposure to particulate matter (PM)10, PM2.5, and ADHD; (2) Methods: The National Health Insurance Research Database (NHIRD) contains the medical records, drug information, inspection data, etc., of the people of Taiwan, and, thus, could serve as an important research resource. Air pollution data were based on daily data from the Environmental Protection Administration Executive Yuan, R.O.C. (Taiwan). These included particulate matter (PM2.5 and PM10). The two databases were merged according to the living area of the insured and the location of the air quality monitoring station; (3) Results: The highest levels of air pollutants, including PM2.5 (adjusted hazard ratio (aHR) = 1.79; 95% confidence interval (CI) = 1.58–2.02) and PM10 (aHR = 1.53; 95% CI = 1.37–1.70), had a significantly higher risk of ADHD; (4) Conclusions: As such, measures for air quality control that meet the WHO air quality guidelines should be strictly and uniformly implemented by Taiwanese government authorities.

Quality of life (QoL) describes an individual’s subjective perception of their position in life as evidenced by their physical, psychological, and social functioning. QoL has become an increasingly important measure of outcome in child mental health clinical work and research. Here we provide a systematic review of QoL studies in children and young people with attention deficit hyperactivity disorder (ADHD) and address three main questions. (1) What is the impact of ADHD on QoL? (2) What are the relationships between ADHD symptoms, functional impairment and the mediators and moderators of QoL in ADHD? (3) Does the treatment of ADHD impact on QoL? Databases were systematically searched to identify research studies describing QoL in ADHD. Thirty six relevant articles were identified. Robust negative effects on QoL are reported by the parents of children with ADHD across a broad range of psycho-social, achievement and self evaluation domains. Children with ADHD rate their own QoL less negatively than their parents and do not always seeing themselves as functioning less well than healthy controls. ADHD has a comparable overall impact on QoL compared to other mental health conditions and severe physical disorders. Increased symptom level and impairment predicts poorer QoL. The presence of comorbid conditions or psychosocial stressors helps explain these effects. There is emerging evidence that QoL improves with effective treatment. In conclusion, ADHD seriously compromises QoL especially when seen from a parents’ perspective. QoL outcomes should be included as a matter of course in future treatment studies.

Rationale Attention-deficit/hyperactivity disorder (ADHD) is thought to involve hypofunctional catecholamine systems in the striatum, nucleus accumbens, and prefrontal cortex (PFC); however, recent clinical evidence has implicated glutamate dysfunction in the pathophysiology of ADHD. Recent studies show that increased stimulation of dopamine D2 and D4 receptors causes inhibition of N -methyl- d -aspartate and α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors, respectively. The spontaneously hypertensive rat (SHR) model of ADHD combined type (C) has been found to have a hypofunctional dopamine system in the ventral striatum, nucleus accumbens, and PFC compared to the control Wistar Kyoto (WKY) strain. Objectives Based on the current understanding of typical dopamine–glutamate interactions, we hypothesized that the SHR model of ADHD would have a hyperfunctional glutamate system terminating in the striatum, nucleus accumbens, and PFC. Results High-speed amperometric recordings combined with four-channel microelectrode arrays to directly measure glutamate dynamics showed increased evoked glutamate release in the PFC (cingulate and infralimbic cortices, p  < 0.05) and also in the striatum ( p  < 0.05) of the SHR (ADHD-C) as compared to the WKY. Finally, glutamate uptake was discovered to be aberrant in the PFC, but not the striatum, of the SHR when compared to the control WKY strain. Conclusions These results suggest that the glutamatergic system in the PFC of the SHR model of ADHD is hyperfunctional and that targeting glutamate in the PFC could lead to the development of novel therapeutics for the treatment of ADHD.

This article presents an analysis of the everyday costs of caring for a child with a disability guided by the budget standard approach and the theoretical frameworks of human need and capability. The analysis is based on 30 in-depth digital interviews with 15 families raising children with ADHD in Norway. We find that all families interviewed have needs leading to increased economic costs at the household level. However, the estimated cost increase and the associated cost drivers vary substantially between the families, ranging between an approximate 16-67% increase in monthly costs compared to the Norwegian Reference Budget. Keywords: household costs, attention-deficit/hyperactivity disorder (ADHD), disability, capability, budget standards

Objective To evaluate the prevalence of and risk factors for attention‐deficit/hyperactivity disorder (ADHD) in children with epilepsy (CWE). Methods We conducted a systematic search in PubMed and Embase for the meta‐analysis. The pooled prevalence of ADHD was calculated using a random‐effects model; subgroup analyses were performed to explore heterogeneity. We collected raw data from articles reporting potential risk factors, which were included in the subsequent risk factor analysis. Results Forty‐six articles met the inclusion criteria for the meta‐analysis, which showed a pooled ADHD prevalence of 30.7% in CWE, with a predominance of the inattentive subtype of ADHD; the heterogeneity of prevalence was related to population source/study setting (clinic based, community based, or database based) and method of ADHD diagnosis (with or without clinical review). Risk factors for ADHD in epilepsy included younger age, intellectual/developmental disabilities, a family history of epilepsy, earlier epilepsy onset, absence epilepsy, more frequent seizures, and polytherapy; In contrast, risk factors such as sex, generalized epilepsy or seizures, epilepsy etiology, and electroencephalogram abnormalities were not significantly associated with the occurrence of ADHD. Significance The prevalence of ADHD in CWE is high and several potential risk factors are associated with it. This study contributes to a better understanding of ADHD in epilepsy for screening and treatment. Plain Language Summary This systematic review summarizes the prevalence of attention‐deficit/hyperactivity disorder (ADHD) occurring in children with epilepsy and analyses the risk factors for comorbid ADHD in epilepsy. By reviewing 46 articles, we concluded that the overall prevalence of ADHD in children with epilepsy was 30.7% and that intellectual/developmental disabilities were the most significant risk factor for combined ADHD in children with epilepsy. This study provides a wealth of information on comorbid ADHD in epilepsy, which will help clinicians identify and treat potential ADHD in children with epilepsy in a timely manner.

Severe prenatal stress exposure has been found to increase the risk of neuropsychiatric conditions like schizophrenia. We examined the risk of attention-deficit/hyperactivity disorder (ADHD) in the offspring following prenatal maternal bereavement, as a potential source of stress exposure. We conducted a nationwide population-based cohort study including all 1,015,912 singletons born in Denmark from 1987 to 2001. A total of 29,094 children were born to women who lost a close relative during pregnancy or up to 1 year before pregnancy. These children were included in the exposed cohort and other children were in the unexposed cohort. We used Cox regression to estimate hazard ratios for ADHD, defined as the first-time ADHD hospitalization or first-time ADHD medication after 3 years of age. Boys born to mothers who were bereaved by unexpected death of a child or a spouse, had a 72% increased risk of ADHD [hazard ratio (HR) 1.72, 95% confidence interval (CI) 1.09–2.73]. Boys born to mothers who lost a child or a spouse during 0–6 months before pregnancy and during pregnancy had a HR of 1.47 (95% CI 1.00–2.16) and 2.10 (95% CI 1.16–3.80), respectively. Our findings suggest that prenatal maternal exposure to severe stress may increase the risk of ADHD in the offspring.

Attention‐deficit/hyperactivity disorder (ADHD) is a common psychiatric condition among children and adolescents, often associated with a high risk of psychiatric comorbidities. Currently, ADHD diagnosis relies exclusively on clinical presentation and patient history, underscoring the need for clinically relevant, reliable, and objective biomarkers. Such biomarkers may enable earlier diagnosis and lead to improved treatment outcomes. Our research team has focused on identifying potential biomarkers for ADHD by investigating its possible pathomechanisms, with consideration of the aforementioned criteria. Given the significant sex‐related differences in ADHD prevalence (male predominance) and the age‐related variability in its symptomatology, we explored the role of neuroendocrine systems in ADHD. Specifically, we examined the epigenetic regulation mechanism involved in ADHD pathogenesis and developed a diagnostic model based on peripheral microRNA. Additionally, we investigated the role of microbiota dysbiosis in the pathophysiology of ADHD and provided novel insights into its management. This paper presents a summary of our findings on potential biomarkers for ADHD. By analyzing blood, salivary, and fecal samples, we identified several promising biomarkers that may serve as objective parameters for improving the diagnostic accuracy for ADHD. Further research involving larger cohort studies is required to confirm the reliability of these biomarkers.

In children with attention-deficit/hyperactivity disorder (ADHD), different neurofeedback (NF) protocols have been applied, with the most prominent differentiation between EEG frequency-band (e.g., theta/beta) training and training of slow cortical potentials (SCPs). However, beyond distinctions between such basic NF variables, there are also competing assumptions about mechanisms of action (e.g., acquisition of regulation capability, generalization to daily life behavior). In the present article, we provide a framework for NF models and suppose two hypothetical models, which we call \"conditioning-and-repairing model\" and \"skill-acquisition model,\" reflecting extreme poles within this framework. We argue that the underlying model has an impact not only on how NF is applied but also on the selection of evaluation strategies and suggest using evaluation strategies beyond beaten paths of pharmacological research. Reflecting available studies, we address to what extent different views are supported by empirical data. We hypothesize that different models may hold true depending on the processes and behaviors to be addressed by a certain NF protocol. For example, the skill-acquisition model is supported by recent findings as an adequate explanatory framework for the mechanisms of action of SCP training in ADHD. In conclusion, evaluation and interpretation of NF trials in ADHD should be based on the underlying model and the way training is applied, which, in turn, should be stated explicitly in study reports.

Introduction Attention‐deficit/hyperactivity disorder (ADHD) is associated with impairments related to peer relations (PR) and social activities (SA). The objective of this post hoc analysis was to assess the degree to which viloxazine extended‐release (viloxazine ER; viloxazine extended‐release capsules; Qelbree®) improves clinical assessments of PR and SA in children and adolescents with ADHD. Methods Data were used from four Phase III placebo‐controlled trials of 100 to 600 mg/day of viloxazine ER (N = 1354; 6–17 years of age). PR and SA were measured with the Peer Relations content scale of the Conners 3rd Edition Parent Short Form's Peer Relation content scale (C3PS‐PR) and the Social Activities domain of the Weiss Functional Impairment Rating Scale‐Parent Report's (WFIRS‐P‐SA) at baseline and end of study. ADHD symptoms were assessed weekly with the ADHD Rating Scale, 5th Edition. The analyses relied on the general linear mixed model with the subject as a random effect. Results Improvement in C3PS‐PR (p = .0035) and WFIRS‐P‐SA (p = .0029) scores were significantly greater in subjects treated with viloxazine ER compared with placebo. When using measures of clinically meaningful response, the C3PS‐PR responder rate was significantly higher for viloxazine ER (19.2%) compared with placebo (14.1%) and the difference was statistically significant (p = .0311); the Number Needed to Treat (NNT) was 19.6. The WFIRS‐P‐SA responder rate was significantly higher for viloxazine ER (43.2%) compared with placebo (28.5%) and the difference was statistically significant (p < .0001); the NNT was 6.8. The standardized mean difference effect size for both PR and SA was 0.09. Conclusions Viloxazine ER significantly reduces the impairment of PR and SA in children and adolescents with ADHD. Although its effects on PR and SA are modest, many ADHD patients can be expected to achieve clinically meaningful improvements in PR and SA with viloxazine ER treatment for longer than 6 weeks. KEY POINTS Children and adolescents with attention‐deficit/hyperactivity disorder (ADHD) commonly experience deficits associated with peer relations (PR) and social activities (SA). Viloxazine extended‐release (viloxazine ER) is approved for the treatment of ADHD in children and adolescents. In a post hoc analysis of pooled data from four pediatric, Phase III, placebo‐controlled trials, viloxazine ER significantly improved the outcome in assessments of both PR and SA in children and adolescents with ADHD.