Effect of bariatric surgery on the pharmacokinetics of drugs used for attention-deficit hyperactivity disorder-A case series.

BACKGROUND: Changes in gastrointestinal physiology following bariatric surgery may affect the pharmacokinetics of drugs. Data on the impact of bariatric surgery on drugs used for attention-deficit/hyperactivity disorder (ADHD) are limited. METHODS: In patients treated with ADHD medication and undergoing bariatric surgery, serial drug concentrations were measured for 24 h preoperatively and one, six and 12 months postoperatively. Primary outcome was change in area under the concentration-time curve from 0 to 24 h (AUC0-24), with other pharmacokinetic variables as secondary outcomes. RESULTS: Eight patients treated with lisdexamphetamine (n = 4), dexamphetamine (n = 1), methylphenidate (n = 1) and atomoxetine (n = 2) were included. In total, 409 samples were analysed. Patients underwent sleeve gastrectomy (n = 5) and Roux-en-Y gastric bypass (n = 3). AUC0-24 and Cmax of dexamphetamine increased after surgery in those using the prodrug lisdexamphetamine. There was no clear-cut reduction in tmax postoperatively. For ritalinic acid and atomoxetine, no changes in AUC0-24 were observed, but for atomoxetine, a higher Cmax and a shorter tmax were observed postoperatively. CONCLUSION: Bariatric surgery may increase the systemic exposure of dexamphetamine after intake of lisdexamphetamine. Patients using lisdexamphetamine should be followed with regard to adverse drug reactions after bariatric surgery, and, if available, therapeutic drug monitoring should be considered.

Asymmetry of attentive networks contributes to adult Attention-deficit/hyperactivity disorder (ADHD) pathophysiology.

Diffusion imaging studies in Attention-deficit/hyperactivity disorder (ADHD) have revealed alterations in anatomical brain connections, such as the fronto-parietal connection known as superior longitudinal fasciculus (SLF). Studies in neurotypical adults have shown that the three SLF branches (SLF I, II, III) support distinct brain functions, such as attention and inhibition; and that their pattern of lateralization is associated with attention performance. However, most studies in ADHD have investigated the SLF as a single bundle and in children; thus, the potential contribution of the lateralization of the SLF branches to adult ADHD pathophysiology remains to be elucidated. We used diffusion-weighted spherical deconvolution tractography to dissect the SLF branches in 60 adults with ADHD (including 26 responders and 34 non-responders to methylphenidate, MPH) and 20 controls. Volume and hindrance modulated orientational anisotropy (HMOA), which respectively reflect white matter macro- and microstructure, were extracted to calculate the corresponding lateralization indices. We tested whether neurotypical controls differed from adults with ADHD, and from treatment response groups in sensitivity analyses; and investigated associations with clinico-neuropsychological profiles. All the three SLF branches were lateralized in adults with ADHD, but not in controls. The lateralization of the SLF I HMOA was associated with performance at the line bisection, not that of the SLF II volume as previously reported in controls. Further, an increased left-lateralization of the SLF I HMOA was associated with higher hyperactivity levels in the ADHD group. Thus, an altered asymmetry of the SLF, perhaps especially of the dorsal branch, may contribute to adult ADHD pathophysiology.

Sensory Processing Challenges in Children with Neurodevelopmental Disorders and Genetic Conditions: An Observational Study.

Sensory processing challenges are crucial yet often neglected aspects in the care of children with neurodevelopmental disorders and genetic conditions. They represent a key area of interest in neuroscience, as they significantly impact children's daily functioning and quality of life. This observational study examines these challenges in a group of 614 children, aged 3 to 14 years and 11 months, divided into three groups: 183 with neurodevelopmental disorders (autism spectrum disorder, attention deficit hyperactivity disorder, developmental delays, and learning disorders), 89 with genetic conditions (22q11.2 deletion syndrome, Williams syndrome, and pseudohypoparathyroidism), and 342 controls. Sensory processing was assessed using Sensory Profile 2 (SP2). Results indicated that children with neurodevelopmental disorders and genetic conditions exhibited significant sensory processing difficulties compared to controls. SP2 identified distinct sensory challenges across different sensory systems, varying by diagnosis. Notably, genetic conditions appeared to have a more generalised impact across multiple sensory systems, while neurodevelopmental disorders tended to affect specific systems more narrowly. These findings highlight the importance of early identification and tailored evidence-based interventions to address these specific sensory processing issues. Further research should explore the long-term impact of these interventions in these different populations and their integration into broader therapeutic programmes.

Precuneal hyperperfusion in patients with attention-deficit/hyperactivity disorder-comorbid nociplastic pain.

Introduction: Nociplastic pain (NP), a third category of chronic pain, offers a framework for elucidating its pathophysiology and treatment strategies. One of the characteristics of NP is comorbidity of symptoms other than pain, such as psychological and cognitive problems; therefore, these can be clues to understanding NP. Recently, we reported several cases with comorbid symptoms of attention-deficit/hyperactivity disorder (ADHD). Notably, ADHD medications, including methylphenidate (MP) and atomoxetine, improved chronic pain as well as the symptoms of ADHD. However, in clinical settings, identifying comorbid ADHD in patients with chronic pain is challenging, and underlying mechanisms have not been elucidated. To explore the common characteristics of brain function in patients with ADHD-comorbid NP, we identified brain regions where cerebral blood flow (CBF) distributions changed between pre- and post-treatment using single-photon emission computed tomography (SPECT). Additionally, we examined brain regions where CBF values correlated with clinical scores. Methods: We retrospectively studied 65 patients (mean age 53 ± 14 years; 30 males and 35 females) with ADHD-comorbid NP who underwent CBF-SPECT before and after ADHD medication initiation. Clinical scores included the clinical global impression severity (CGI-S), pain numerical rating scale, hospital anxiety and depression scale, pain catastrophizing scale, and Conners' adult ADHD rating scale-self report scores. Voxel-based statistical methods were used to compare pre- and post-treatment CBF-SPECT images to identify significant differences and investigate brain regions correlated with clinical scores. Results: The CBF was higher in the precuneus, insular gyrus, and thalamus before treatment than after treatment (paired t-test, cluster-definition p < 0.001, cluster-extent threshold p < 0.05, with family-wise error [FWE] correction). The hyperperfusion in the precuneus was positively correlated with the CGI-S score and significantly reduced after treatment with MP (paired t-test, cluster-definition p < 0.005, cluster-extent threshold p < 0.05, with FWE correction). Conclusion: The finding of precuneal hyperperfusion may provide insight into the mechanisms of NP and help identify patients who would benefit most from ADHD medications.

Resting-State Functional Connectivity Predicts Attention Problems in Children: Evidence from the ABCD Study.

Attention deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder, and numerous functional and structural differences have been identified in the brains of individuals with ADHD compared to controls. This study uses data from the baseline sample of the large, epidemiologically informed Adolescent Brain Cognitive Development Study of children aged 9-10 years old (N = 7979). Cross-validated Poisson elastic net regression models were used to predict a dimensional measure of ADHD symptomatology from within- and between-network resting-state correlations and several known risk factors, such as biological sex, socioeconomic status, and parental history of problematic alcohol and drug use. We found parental history of drug use and biological sex to be the most important predictors of attention problems. The connection between the default mode network and the dorsal attention network was the only brain network identified as important for predicting attention problems. Specifically, we found that reduced magnitudes of the anticorrelation between the default mode and dorsal attention networks relate to increased attention problems in children. Our findings complement and extend recent studies that have connected individual differences in structural and task-based fMRI to ADHD symptomatology and individual differences in resting-state fMRI to ADHD diagnoses.

Assessing suicidality in adult ADHD patients: prevalence and related factors : Suicidality in adult ADHD patients.

BACKGROUND: The 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. METHODS: The 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. RESULTS: The 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. CONCLUSIONS: Adults 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.

A systematic review and meta-analysis comparing the severity of core symptoms of attention-deficit hyperactivity disorder in females and males.

In the past decade, there have been substantial changes in diagnostic nomenclature. This study investigated sex differences in attention-deficit/hyperactivity disorder (ADHD) symptom severity based on Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV, DSM-IV(TR), and DSM-5 criteria, separating rating scale and clinical interview data in children and adults with ADHD. PubMed, PsycINFO, and Scopus were searched for published studies (1996-2021) reporting severity of attention, and hyperactivity/impulsivity in males and females. We compared data: (1) across the entire lifespan aggregating rating scale and clinical interview data (51 studies), (2) drawing solely on rating scale data (18 studies), and (3) drawing solely on clinical interview data (33 studies). Fifty-two studies met inclusion criteria comparing data for females (n = 8423) and males (n = 9985) with ADHD across childhood and/or adulthood. In total, 15 meta-analyses were conducted. Pooled data across the lifespan aggregating both rating scale and clinical diagnostic interview data, showed males had significantly more severe hyperactivity/impulsivity symptoms than females. Rating scale data were similar; boys had significantly more severe hyperactivity/impulsivity than girls. In adulthood, men were rated to have significantly more severe inattention than women with no difference in the hyperactivity/impulsivity dimension. All significant differences were of small effect size. No significant sex differences in the severity of symptoms emerged for clinical interview data for children or adults, in contrast. Possible reasons for the discrepancy in findings between rating scales and clinical diagnostic interviews are discussed.

Comparative analysis of electroencephalogram (EEG) data gathered from the frontal region with other brain regions affected by attention deficit hyperactivity disorder (ADHD) through multiresolution analysis and machine learning techniques.

Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by repeated patterns of hyperactivity, impulsivity, and inattention that limit daily functioning and development. Electroencephalography (EEG) anomalies correspond to changes in brain connection and activity. The authors propose utilizing empirical mode decomposition (EMD) and discrete wavelet transform (DWT) for feature extraction and machine learning (ML) algorithms to categorize ADHD and control subjects. For this study, the authors considered freely accessible ADHD data obtained from the IEEE data site. Studies have demonstrated a range of EEG anomalies in ADHD patients, such as variations in power spectra, coherence patterns, and event-related potentials (ERPs). Some of the studies claimed that the brain's prefrontal cortex and frontal regions collaborate in intricate networks, and disorders in either of them exacerbate the symptoms of ADHD. , Based on the research that claimed the brain's prefrontal cortex and frontal regions collaborate in intricate networks, and disorders in either of them exacerbate the symptoms of ADHD, the proposed study examines the optimal position of EEG electrode for identifying ADHD and in addition to monitoring accuracy on frontal/ prefrontal and other regions of brain our study also investigates the position groupings that have the highest effect on accurateness in identification of ADHD. The results demonstrate that the dataset classified with AdaBoost provided values for accuracy, precision, specificity, sensitivity, and F1-score as 1.00, 0.70, 0.70, 0.75, and 0.71, respectively, whereas using random forest (RF) it is 0.98, 0.64, 0.60, 0.81, and 0.71, respectively, in detecting ADHD. After detailed analysis, it is observed that the most accurate results included all electrodes. The authors believe the processes can detect various neurodevelopmental problems in children utilizing EEG signals.

Beyond Reading: Psychological and Mental Health Needs in Adolescents with Dyslexia.

BACKGROUND: Overall, children and adolescents diagnosed with dyslexia or ADHD show an increased risk for psychological and mental health problems, and dyslexia and ADHD tend to coexist frequently. Thus, the main objective of this study was to examine psychological and mental health problems in dyslexia. METHOD: Participated 95 adolescents with dyslexia (DG), comorbid dyslexia + attention-deficit hyperactivity disorder, combined subtype (D + ADHD-CG), and a comparison group with typical development (TDCG). Self-reported measures of anxiety and depression, and parent and teacher versions of the Strengths and Difficulties Questionnaire (SDQ) were used. RESULTS: Self-reports of internalizing problems showed that adolescents in the GD and D + ADHD-CG groups had more depression and stated anxiety problems with a very high percentage above the clinical cut-off point than the CG. Both the parent and teacher reports showed that the DG and D + ADHD-CG groups obtained higher mean values and a higher number of adolescents above the clinical cut-off of internalizing, externalizing, and total problems than the TDCG. The comorbid D + ADHD-CG group had the highest internalizing and externalizing problems. CONCLUSIONS: In conclusion, our findings indicate that the internalizing and externalizing problems experienced by adolescents with dyslexia and comorbid ADHD should be recognized early and treated promptly by education professionals.

Enhanced ADHD classification through deep learning and dynamic resting state fMRI analysis.

Attention Deficit Hyperactivity Disorder (ADHD) is characterized by deficits in attention, hyperactivity, and/or impulsivity. Resting-state functional connectivity analysis has emerged as a promising approach for ADHD classification using resting-state functional magnetic resonance imaging (rs-fMRI), although with limited accuracy. Recent studies have highlighted dynamic changes in functional connectivity patterns among ADHD children. In this study, we introduce Skip-Vote-Net, a novel deep learning-based network designed for classifying ADHD from typically developing children (TDC) by leveraging dynamic connectivity analysis on rs-fMRI data collected from 222 participants included in the NYU dataset within the ADHD-200 database. Initially, for each subject, functional connectivity matrices were constructed from overlapping segments using Pearson's correlation between mean time series of 116 regions of interest defined by the Automated Anatomical Labeling (AAL) 116 atlas. Skip-Vote-Net was then developed, employing a majority voting mechanism to classify ADHD/TDC children, as well as distinguishing between the two main subtypes: the inattentive subtype (ADHDI) and the predominantly combined subtype (ADHDC). The proposed method was evaluated across four classification scenarios: (1) two-class classification of ADHD from TD children using balanced data, (2) two-class classification between ADHD and TD children using unbalanced data, (3) two-class classification between ADHDI and ADHDC, and (4) three-class classification among ADHDI, ADHDC, and TD children. Using Skip-Vote-Net, we achieved mean classification accuracies of 97% ± 1.87 and 97.7% ± 2.2 for the balanced and unbalanced classification cases, respectively. Furthermore, the mean classification accuracy for discriminating between ADHDI and ADHDC reached 99.4% ± 1.21. Finally, the proposed method demonstrated an average accuracy of 98.86% ± 1.03 in classifying ADHDI, ADHDC, and TD children collectively. Our findings highlight the superior performance of Skip-Vote-Net over existing methods in the classification of ADHD, showcasing its potential as an effective diagnostic tool for identifying ADHD subtypes and distinguishing ADHD from typically developing children.

A Randomized Controlled Trial of the Effects of Organizational Skills Training on Children With Attention Deficit Hyperactivity Disorder in China.

BACKGROUND: In addition to attention and hyperactivity problems, children with attention deficit hyperactivity disorder (ADHD) have poorer organizational skills needed to manage time and materials. This study examines the improvement of organizational skills in children with ADHD by studying organizational skills training (OST). METHODS: This was a prospective, randomized controlled trial. Between September 2023 and January 2024, 70 children with a diagnosis of ADHD and at least one domain of executive dysfunction (EF) were divided into two groups. The conventional group was treated with medication, biofeedback, and behavioral interventions based on the children's actual condition. The OST group received OST in addition to the conventional group. RESULTS: The mean age of the children was 8.33 ± 1.62 years. A total of 66 children completed the intervention and follow-up, 32 in the conventional group and 34 in the OST group. There were no differences between the two groups of children in terms of their preintervention scores on the BRIEF, SNAP-IV, or IVA-CPT. Postintervention scores on the behavioral scales decreased (p < .05), and IVA-CPT scores increased (p < .05) in both groups compared with those in the preintervention period. The OST group had a lower BRIEF (p = .019) and SNAP-IV Attention deficit subscale (p = .046) and a higher IVA-CPT Attention deficit Index (p = .032) than the conventional group after the intervention. The percentage of children with a normal BRIEF total score in the OST group was 79.41% (27/34) after the intervention, which was greater than the 37.50% (12/32) in the conventional group (p = .001). Compared with the OST group, children in the conventional group were at greater risk of having BRIEF scores that remained abnormal after the intervention. Analysis of covariance revealed a statistically significant effect of group (p = .008), preintervention BRIEF (p < .001), and participation score (p = .036) on postintervention BRIEF. CONCLUSION: OST can further improve organizational skills in daily life in children with ADHD while improving core symptoms of attention deficit in addition to conventional treatment. The effect of OST on BRIEF is also influenced by the child's BRIEF status at the baseline level and the level of cooperation during the intervention. TRIAL REGISTRATION: The randomized controlled trial registration number was ChiCTR2300075744.

Increasing Prevalence of Attention-Deficit/Hyperactivity Disorder in Patients With Borderline Personality Disorder.

While research has shown that the prevalence of ADHD in the general population has increased over time, there have been no studies focused on ADHD prevalence in patients with borderline personality disorder (BPD). This study compares two cohorts of adults with rigorously diagnosed BPD recruited nearly three decades apart (1992 vs. 2020). Participants from the 1992 McLean Study of Adult Development (MSAD) (N = 290) and the 2020 Flourishing study (N = 147) were assessed for ADHD using DSM-III-R and DSM-5 criteria respectively. Compared to MSAD subjects, the prevalence of ADHD among Flourishing subjects was significantly higher overall, and in female (but not male) subjects. This increased prevalence, which is likely due to the broadening of the DSM criteria over time, highlights what many observers believe to be a problematic expansion of the diagnostic criteria for ADHD that may have decoupled this criteria set from capturing a neurodevelopmental disorder that typically begins in childhood.

Comparison of Brain Function Between Medication-Naïve ADHD with and without Comorbidity in Chinese Children Using Resting-State fNIRS.

Background: This study used functional near-infrared spectroscopy (fNIRS) to investigate brain activation patterns in children with attention deficit hyperactivity disorder (ADHD) with and without additional comorbidities to identify disease-related biomarkers by the neuroimaging that will facilitate to make a diagnosis decision. Methods: In this study, 165 medication-naive children aged 7 to 15 years were recruited and categorized into four groups: ADHD, ADHD with learning disabilities (ADHD&LD), ADHD with oppositional defiant disorder (ADHD&ODD), and healthy controls. A multichannel fNIRS system was used to monitor hemodynamic changes at rest state in the prefrontal and temporal lobes of the brain. The amplitude of a low-frequency fluctuation (ALFF) matrix was calculated by summation and averaging of the square root of the signal power spectrum. One-way analysis of variance was used to identify statistical differences between channels. Results: All ADHD children presented significantly higher ALFF values in different brain regions when compared with the healthy controls. Patients with ADHD&LD exhibited higher ALFF values in the medial prefrontal cortex (P Ch38 = .01, P Ch48 = .01), temporal cortex (P Ch22 = .04, P Ch41 = .002, P Ch51 = .001), and the left ventrolateral prefrontal cortex (P Ch39 = .0009, P Ch50 = .001), whereas ADHD&ODD children were not significantly different to those diagnosed with ADHD. Conclusions: ADHD with learning disabilities (LD) possessed a different pathogenesis from ADHD, manifested as lower functional brain activity in the medial prefrontal cortex, temporal cortex, and the left ventrolateral prefrontal cortex, while ADHD&ODD did not present significant changes compared with ADHD. ODD-related symptoms may be part of ADHD symptoms rather than being an independent disorder.

The neurodivergent perinatal experience - A systematic literature review on autism and attention deficit hyperactivity disorder.

BACKGROUND: Neurodivergent individuals often face unique challenges during the perinatal period, which can significantly impact their experiences of pregnancy, childbirth, and early parenting. Despite growing awareness of neurodiversity, there remains a gap in perinatal care that fully addresses the lived experiences and needs of those with neurodivergent conditions such as Autism (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD). OBJECTIVE: To compile and analyse recent literature on the perinatal experiences of neurodivergent parturients. To provide an overview of current knowledge, identify prevalent challenges, and suggest opportunities for improving perinatal services. Additionally, we aim to highlight research gaps that guide future studies and enhance care quality for neurodivergent individuals during the perinatal period. METHODS: The Systematic Reviews methodological process was utilised to search relevant scientific databases to gather current research articles on neurodivergent perinatal experiences. Eleven studies met the inclusion criteria and were appraised using a rigorous quality checklist. Thematic analysis identified recurring themes across the selected papers. RESULTS: Three major themes emerged: Care provider support, Perinatal mental health needs, and Resilience and growth of neurodivergent parturients. These themes highlight significant differences in perinatal experiences between neurodivergent and neurotypical individuals, underscoring the need for tailored care approaches. CONCLUSION: The findings reveal that current perinatal care practices do not adequately address the specific challenges faced by perinatal neurodivergent individuals. There is a critical need for perinatal care systems to integrate neurodiversity-affirming practices. Future research should consider intersectionality to include marginalised and underrepresented neurodivergent voices.

Scheduling of methylphenidate: Preventing misuse or impeding ADHD treatment adherence?

Background: Attention-deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder, with a chronic, and potentially debilitating course if untreated. Medication adherence is poor - negatively affecting emotional, social, educational and employment outcomes. The current Schedule 6 status of methylphenidate (MPH) drives healthcare resource utilisation and costs - a potential barrier to care. Aim: This study explored stakeholders' understanding and perceptions of the potential impact of a regulatory shift in the scheduling of MPH on treatment accessibility and adherence for ADHD. Setting: Participants from multiple stakeholder groups, involved in ADHD management in South Africa, were recruited via professional networks. Methods: A qualitative analysis of semi-structured interviews with 23 stakeholders was conducted to explore their views on the utility, benefits and risks associated with rescheduling MPH. Results: Six key themes emerged from the interviews: 'adherence', 'accessibility', 'affordability', 'stigma', 'rescheduling of MPH' and 'risk mitigation'. Core to these themes is the role of the scheduling of MPH - which can have a protective societal role, but also acts as a barrier to care for individuals with ADHD. Conclusion: The current Schedule 6 status of MPH is not an effective strategy to prevent misuse and diversion but negatively impacts on treatment adherence. The positive outlook from stakeholders on rescheduling MPH holds significant implications for the ADHD landscape in South Africa. Contribution: It is crucial to address stigma, facilitate fundamental change in service delivery and remove structural and practical barriers to care to improve outcomes for individuals with ADHD. A framework for ADHD treatment adherence is provided.

Abnormal brain entropy dynamics in ADHD.

BACKGROUND: Brain entropy (BEN) is a novel measure for irregularity and complexity of brain activities, which has been used to characterize abnormal brain activities in many brain disorders including attention-deficit/hyperactivity disorder (ADHD). While most research assumes BEN is stationary during scan sessions, the brain in resting state is also a highly dynamic system. The BEN dynamics in ADHD has not been explored. METHODS: We used a sliding window approach to derive the dynamical brain entropy (dBEN) from resting-state functional magnetic resonance imaging (rfMRI) dataset that includes 98 ADHD patients and 111 healthy controls (HCs). We identified 3 reoccurring BEN states. We tested whether the BEN dynamics differ between ADHD and HC, and whether they are associated with ADHD symptom severity. RESULTS: One BEN states, characterized by low overall BEN and low within-state BEN located in SMN (sensorimotor network) and VN (visual network), its FW (fractional window) and MDT (mean dwell time) were increased in ADHD and positively correlated with ADHD severity; another state characterized by high overall BEN and low within-state BEN located in DMN (default mode network) and ECN (executive control network), its FW and MDT were decreased in ADHD and negatively correlated with ADHD severity. LIMITATIONS: The window length of dBEN analysis can be further optimized to suit more datasets. The co-variation between dBEN and other dynamical brain metrics was not explored. CONCLUSION: Our findings revealed abnormal BEN dynamics in ADHD, providing new insights into clinical diagnosis and neuropathology of ADHD.

Online Sexual Risk Behaviors in Adolescents: Roles of Family Relationships, Impulsivity, and Attention-Deficit/Hyperactivity Disorder.

PURPOSE: This study examined the associations of passive and active online sexual risk behaviors with perceived family relationships, impulsivity, and attention-deficit/hyperactivity disorder (ADHD). PARTICIPANTS AND METHODS: A total of 176 adolescents with ADHD and 173 adolescents without ADHD participated in this study. The participants' parents rated their parenting style on the Parental Bonding Instrument. The adolescents self-reported their lifelong experiences of passive and active online sexual risk behaviors, perceived family relationship quality on the family domain of the Taiwanese Quality of Life Questionnaire for Adolescents, and three domains of impulsivity on the Barratt Impulsiveness Scale version 11. Multivariable logistic regression was used to examine the associations of online sexual risk behaviors with perceived family relationships, impulsivity, and ADHD. RESULTS: Overall, 114 participants (32.7%) reported passive forms of online sexual risk behaviors, and 49 (14.0%) reported active online sexual risk behaviors. Lack of foresight and self-control was significantly associated with passive online sexual risk behaviors (p = 0.003). Good family relationship was significantly associated with a decreased risk of active online sexual risk behaviors (p = 0.011), whereas seeking novelty and making decisions hastily was significantly associated with an increased risk of active online sexual risk behaviors (p = 0.048). ADHD diagnosis and inability to plan were not significantly associated with online sexual risk behaviors (p > 0.05). CONCLUSION: A high proportion of Taiwanese adolescents reported exhibiting online sexual risk behaviors. The factors related to the manifestation of these behaviors should be considered when designing relevant intervention programs.

ADHD and Risk of Precocious Puberty: Considering the Impact of MPH.

BACKGROUND/OBJECTIVES: The complex association between attention-deficit/hyperactivity disorder (ADHD) and methylphenidate (MPH) with precocious puberty (PP) is still unclear. This study aims to investigate the association between ADHD, MPH, and PP. METHODS: This is a nationwide cohort study including a total of 3,342,077 individuals, 186,681 with ADHD and 3,155,396 without. First, we compared the risk of PP between ADHD cases and non-ADHD cases. Second, we compared the risk of PP between MPH users and non-MPH users in patients with ADHD. RESULTS: Patients with ADHD were at a greater risk of PP (adjusted hazard ratio [aHR], 2.01 [95% CI, 1.91-2.11]). In our moderation analyses, the female gender was a positive additive effect modifier of the association between ADHD and PP, whereas tics and intellectual disability were negative effect modifiers. In patients with ADHD, MPH users had a significantly lower risk of PP (aHR, 0.63 [95% CI 0.57-0.70]), and females had a negative effect modification on the association between MPH and PP. CONCLUSIONS: Our study found that children with ADHD were at a greater risk of PP. Girls with ADHD were a group particularly vulnerable to PP. Comorbid tics or intellectual disability was associated with a lower risk of PP. Among patients with ADHD, MPH was protective against PP, especially in girls. However, these preliminary results need further validation due to the nature of them being from an electronic database study. Unmeasured confounding factors might affect the association between MPH and PP.

Fusion of Multi-Task Neurophysiological Data to Enhance the Detection of Attention- Deficit/Hyperactivity Disorder.

OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) is a childhood-onset neurodevelopmental disorder with a prevalence ranging from 6.1 to 9.4%. The main symptoms of ADHD are inattention, hyperactivity, impulsivity, and even destructive behaviors that may have a long-term negative influence on learning performance or social relationships. Early diagnosis and treatment provide the best chance of reducing and managing symptoms. Currently, ADHD diagnosis relies on behavioral observations and ratings by clinicians and parents. Medical diagnosis of ADHD was reported to be delayed because of a global shortage of well-trained clinicians, the heterogeneous nature of ADHD, and combined comorbidities. Therefore, alternative ways to increase the efficiency of early diagnosis are needed. Previous studies used behavioral and neurophysiological data to assess patients with ADHD, yielding an accuracy range from 56.6% to 92%. Several factors were shown to affect the detection rate, including methods and tasks used and the number of electroencephalogram (EEG) channels. Given that children with ADHD have difficulty sustaining attention, in this study, we tested whether data from multiple tasks with different difficulties and prolonged experiment times can probe the levels of brain resources engaged during task performance and increase ADHD detection. Specifically, we proposed a Deep Neural Network-based (DNN) fusion model of multiple tasks to enhance the detection of ADHD. METHODS & RESULTS: Forty-nine children with ADHD and thirty-two typically developing children were recruited. Analytic results show that the fusion of multi-task neurophysiological data can increase the separation rate to 89%, whereas a single data type can only achieve a best accuracy of 81%. Moreover, the use of multiple tasks helps distinguish between children with ADHD and typically developing children. Our results suggest that different neurophysiological models from multiple tasks can provide essential information to assist in ADHD screening. In conclusion, the proposed model offers a more efficient, and accurate alternative for early clinical diagnosis and management of ADHD. The application of artificial intelligence and multimodal neurophysiological data in clinical settings sets a precedent for digital health, paving the way for future advancements in the field.

Common Genetic Influence on the Relationship Between Gaming Addiction and Attention Deficit Hyperactivity Disorder in Young Adults: A Twin Study.

Although the relationship between gaming addiction (GA) and attention deficit hyperactivity disorder (ADHD) is well established, the causal mechanism of this relationship remains ambiguous. We aimed to investigate whether common genetic and/or environmental factors explain the GA-ADHD relationship. We recruited 1413 South Korean adult twins (837 monozygotic [MZ], 326 same-sex dizygotic [DZ], and 250 opposite-sex DZ twins; mean age = 23.1 ± 2.8 years) who completed an online survey on GA and related traits. Correlational analysis and bivariate model-fitting analysis were conducted. Phenotypic correlation between GA and ADHD in the present sample was 0.55 (95% CI [0.51, 0.59]). Bivariate model-fitting analysis revealed that genetic variances were 69% (95% CI [64%, 73%]) and 68% (95% CI [63%, 72%]) for ADHD and GA respectively. The remaining variances (ADHD: 31%; GA: 32%) were associated with nonshared environmental variances, including measurement error. Genetic and nonshared environmental correlations between ADHD and GA were 0.68 (95% CI [0.62, 0.74]) and 0.22 (95% CI [0.13, 0.30]) respectively, which indicates that shared genes can explain 82% of the phenotypic correlation between ADHD and GA. Our study demonstrated that the ADHD-GA association was largely due to shared genetic vulnerability.