Multi-informant evaluation of Cognitive Disengagement Syndrome (formerly Slow Cognitive Tempo). Children's self-reported measures in relation to parents / Evaluación multi-informante del Síndrome de Desconexión Cognitiva (anteriormente Tempo Cognitivo Lento). Medidas autoinformadas de los niños con relación a padres

El objetivo fue examinar, desde una aproximación multi-informante, las medidas del Síndrome de Desconexión Cognitiva (SDC) de padres/madres e hijos/as y su relación con síntomas internalizantes y externalizantes. 279 niños/as (9-13 años), y sus padres/madres completaron las evaluaciones sobre SDC, la inatención del trastorno por déficit de atención e hiperactividad (TDAH) y otras medidas internalizadas y externalizadas. Los ítems de las tres medidas de SDC convergieron razonablemente bien en el factor SDC. Se aportaron pruebas discriminantes de la validez de las relaciones entre las puntuaciones de las pruebas y las medidas de los tres constructos diferentes (SDC, soledad y preferencia por la soledad). La asociación más estrecha estuvo entre la evaluación parental de las medidas de SDC con ansiedad y depresión, y entre inatención con hiperactividad/impulsividad y trastorno negativista desafiante. Se observó capacidad predictiva de la medida de SDC sobre la soledad y preferencia por estar solo autoinformadas. Se encontró una posible asociación entre la medida del SDC evaluado por padres/madres y sexo y edad de los niños. En conclusión, los datos apoyan la inclusión de medidas autoinformadas en la evaluación del SDC. Las medidas del SDC en niños se vinculan con medidas internalizantes y, la inatención con las externalizantes.(AU)

Learning and Memory Impairments With Attention-Deficit/Hyperactivity Disorder.

ADHD is a common chronic neurodevelopmental disorder and is characterized by persistent inattention, hyperactivity, impulsivity and are often accompanied by learning and memory impairment. Great evidence has shown that learning and memory impairment of ADHD plays an important role in its executive function deficits, which seriously affects the development of academic, cognitive and daily social skills and will cause a serious burden on families and society. With the increasing attention paid to learning and memory impairment in ADHD, relevant research is gradually increasing. In this article, we will present the current research results of learning and memory impairment in ADHD from the following aspects. Firstly, the animal models of ADHD, which display the core symptoms of ADHD as well as with learning and memory impairment. Secondly, the molecular mechanism of has explored, including some neurotransmitters, receptors, RNAs, etc. Thirdly, the susceptibility gene of ADHD related to the learning and impairment in order to have a more comprehensive understanding of the pathogenesis. Key words: Learning and memory, ADHD, Review.

A Digital Cognitive-Physical Intervention for Attention-Deficit/Hyperactivity Disorder: Randomized Controlled Trial.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders among children. Pharmacotherapy has been the primary treatment for ADHD, supplemented by behavioral interventions. Digital and exercise interventions are promising nonpharmacologic approaches for enhancing the physical and psychological health of children with ADHD. However, the combined impact of digital and exercise therapies remains unclear. OBJECTIVE: The aim of this study was to determine whether BrainFit, a novel digital intervention combining gamified cognitive and exercise training, is efficacious in reducing ADHD symptoms and executive function (EF) among school-aged children with ADHD. METHODS: This 4-week prospective randomized controlled trial included 90 children (6-12 years old) who visited the ADHD outpatient clinic and met the diagnostic criteria for ADHD. The participants were randomized (1:1) to the BrainFit intervention (n=44) or a waitlist control (n=46) between March and August 2022. The intervention consisted of 12 30-minute sessions delivered on an iPad over 4 weeks with 3 sessions per week (Monday, Wednesday, and Friday after school) under the supervision of trained staff. The primary outcomes were parent-rated symptoms of attention and hyperactivity assessed according to the Swanson, Nolan, and Pelham questionnaire (SNAP-IV) rating scale and EF skills assessed by the Behavior Rating Inventory of Executive Function (BRIEF) scale, evaluated pre and post intervention. Intention-to-treat analysis was performed on 80 children after attrition. A nonparametric resampling-based permutation test was used for hypothesis testing of intervention effects. RESULTS: Among the 145 children who met the inclusion criteria, 90 consented and were randomized; ultimately, 80 (88.9%) children completed the study and were included in the analysis. The participants' average age was 8.4 (SD 1.3) years, including 63 (78.8%) male participants. The most common ADHD subtype was hyperactive/impulsive (54/80, 68%) and 23 (29%) children had severe symptoms. At the endpoint of the study, the BrainFit intervention group had a significantly larger improvement in total ADHD symptoms (SNAP-IV total score) as compared to those in the control group (ß=-12.203, 95% CI -17.882 to -6.523; P<.001), owing to lower scores on the subscales Inattention (ß=-3.966, 95% CI -6.285 to -1.647; P<.001), Hyperactivity/Impulsivity (ß=-5.735, 95% CI -8.334 to -3.137; P<.001), and Oppositional Defiant Disorder (ß=-2.995, 95% CI -4.857 to -1.132; P=.002). The intervention was associated with significant reduction in the Metacognition Index (ß=-6.312, 95% CI -10.973 to -1.650; P=.006) and Global Executive Composite (ß=-5.952, 95% CI -10.214 to -1.690; P=.003) on the BRIEF. No severe intervention-related adverse events were reported. CONCLUSIONS: This novel digital cognitive-physical intervention was efficacious in school-age children with ADHD. A larger multicenter effectiveness trial with longer follow-up is warranted to confirm these findings and to assess the durability of treatment effects. TRIAL REGISTRATION: Chinese Clinical Trial Register ChiCTR2300070521; https://www.chictr.org.cn/showproj.html?proj=177806.

Atopic Dermatitis: Disease Background and Risk Factors.

Multiple risk factors have been associated with the development of atopic dermatitis (AD). Recent advances in understanding the role of genetics in this disease have been made, with discovery of the filaggrin (FLG) gene as the most notable so far. In addition to FLG gene mutations as a risk factor for AD, a positive family history of atopic or allergic disease in either parent has been shown to confer a greater risk of developing AD. Atopic dermatitis usually presents early in life and is thought to represent the initial step in the "atopic march," which is characterized by the development of other atopic diseases later in life such as asthma, allergic rhinitis, and/or rhinoconjunctivitis, food allergies, and hay fever. Other comorbid diseases that have been associated with AD include increase risk of viral and bacterial skin infections, neuropsychiatric diseases such as attention-deficit hyperactivity disorders (ADHD), and autistic spectrum disorder (ASD). Patients with AD have also been found to have worse sleep quality overall compared to patients without AD. In this chapter, we will discuss the risk factors associated with development of atopic dermatitis as well as the most commonly reported comorbidities in patients with this disease.

Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network.

Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that is characterized by inattention, hyperactivity, and impulsivity. The neural mechanisms underlying ADHD remain inadequately understood, and current approaches do not well link neural networks and attention networks within brain networks. Our objective is to investigate the neural mechanisms related to attention and explore neuroimaging biological tags that can be generalized within the attention networks. In this paper, we utilized resting-state functional magnetic resonance imaging data to examine the differential functional connectivity network between ADHD and typically developing individuals. We employed a graph convolutional neural network model to identify individuals with ADHD. After classification, we visualized brain regions with significant contributions to the classification results. Our results suggest that the frontal, temporal, parietal, and cerebellar regions are likely the primary areas of dysfunction in individuals with ADHD. We also explored the relationship between regions of interest and attention networks, as well as the connection between crucial nodes and the distribution of positively and negatively correlated connections. This analysis allowed us to pinpoint the most discriminative brain regions, including the right orbitofrontal gyrus, the left rectus gyrus and bilateral insula, the right inferior temporal gyrus and bilateral transverse temporal gyrus in the temporal region, and the lingual gyrus of the occipital lobe, multiple regions of the basal ganglia and the upper cerebellum. These regions are primarily involved in the attention executive control network and the attention orientation network. Dysfunction in the functional connectivity of these regions may contribute to the underlying causes of ADHD.

[A creative approach to psychoeducation for ADHD in adults]. / Une offre de soins créative de psychoéducation du TDAH chez l'adulte.

A group-based online psycho-education program for adults with attention deficit hyperactivity disorder (ADHD) and their families has been set up by a multi-professional psychiatric team. Feedback from users has mainly shown benefits in terms of improving self-esteem, destigmatization and accessibility to care. This suggests a real interest in developing this care offer in the pathway of ADHD adults.

Long-Term Cardiovascular Risk Associated With Treatment of Attention-Deficit/Hyperactivity Disorder in Adults.

BACKGROUND: Incrementing numbers of patients treated for attention-deficit/hyperactivity disorder (ADHD) call for scrutiny concerning long-term drug-safety. OBJECTIVES: This study aims to investigate associations between long-term use of ADHD treatment and cardiovascular outcomes. METHODS: Using nationwide registers, adult patients first-time initiated on ADHD treatment between 1998 and 2020 were identified. Exposure groups were prior users, <1 defined daily dose (DDD) per day, ≥1 DDD per day determined at start of follow-up, and 1 year after patients' first claimed prescription. Outcomes were acute coronary syndromes, stroke, heart failure, and a composite of the above. RESULTS: At start of follow-up, 26,357, 31,211, and 15,696 individuals were correspondingly categorized as prior users (42% female, median age: 30 years [Q1-Q3: 23-41 years]), <1 DDD per day (47% female, median age: 31 years [Q1-Q3: 24-41 years]), and ≥1 DDD per day (47% female, median age: 33 years [Q1-Q3: 25-41 years]), respectively. Comparing ≥1 DDD per day with prior users, elevated standardized 10-year absolute risk of stroke (2.1% [95% CI: 1.8%-2.4%] vs 1.7% [95% CI: 1.5%-1.9%]), heart failure (1.2% [95% CI: 0.9%-1.4%] vs 0.7% [95% CI: 0.6%-0.8%]), and the composite outcome (3.9% [95% CI: 3.4%-4.3%] vs 3.0% [95% CI: 2.8 %-3.2%]) was found-with corresponding risk ratios of 1.2 (95% CI: 1.0-1.5), 1.7 (95% CI: 1.3-2.2), and 1.3 (95% CI: 1.1-1.5). No apparent associations were found for acute coronary syndrome (1.0% [95% CI: 0.8%-1.2%] vs 0.9% [95% CI: 0.8%-1.0%]). CONCLUSIONS: Possible associations between elevated long-term cardiovascular risk and increasing dosage of ADHD treatment use in a young patient group should warrant further investigation.

Access to early diagnosis for attention-deficit/hyperactivity disorder among children and adolescents in Mexico City at specialized mental health services.

BACKGROUND: In Mexico, this pioneering research was undertaken to assess the accessibility of timely diagnosis of Dyads [Children and adolescents with Attention Deficit Hyperactivity Disorder (ADHD) and their primary caregivers] at specialized mental health services. The study was conducted in two phases. The first phase involved designing an "Access Pathway" aimed to identify barriers and facilitators for ADHD diagnosis; several barriers, with only the teacher being identified as a facilitator. In the second phase, the study aimed to determine the time taken for dyads, to obtain a timely diagnosis at each stage of the Access Pathway. As well as identify any disparities based on gender and socioeconomic factors that might affect the age at which children can access a timely diagnosis. METHOD: In a retrospective cohort study, 177 dyads participated. To collect data, the Acceda Survey was used, based on the robust Conceptual Model Levesque, 2013. The survey consisted of 48 questions that were both dichotomous and polytomous allowing the creation of an Access Pathway that included five stages: the age of perception, the age of search, the age of first contact with a mental health professional, the age of arrival at the host hospital, and the age of diagnosis. The data was meticulously analyzed using a comprehensive descriptive approach and a nonparametric multivariate approach by sex, followed by post-hoc Mann-Whitney's U tests. Demographic factors were evaluated using univariable and multivariable Cox regression analyses. RESULTS: 71% of dyads experienced a late, significantly late, or highly late diagnosis of ADHD. Girls were detected one year later than boys. Both boys and girls took a year to seek specialized mental health care and an additional year to receive a formal specialized diagnosis. Children with more siblings had longer delays in diagnosis, while caregivers with formal employment were found to help obtain timely diagnoses. CONCLUSIONS: Our findings suggest starting the Access Pathway where signs and symptoms of ADHD are detected, particularly at school, to prevent children from suffering consequences. Mental health school-based service models have been successfully tested in other latitudes, making them a viable option to shorten the time to obtain a timely diagnosis.

Inferring skin-brain-skin connections from infodemiology data using dynamic Bayesian networks.

The relationship between skin diseases and mental illnesses has been extensively studied using cross-sectional epidemiological data. Typically, such data can only measure association (rather than causation) and include only a subset of the diseases we may be interested in. In this paper, we complement the evidence from such analyses by learning an overarching causal network model over twelve health conditions from the Google Search Trends Symptoms public data set. We learned the causal network model using a dynamic Bayesian network, which can represent both cyclic and acyclic causal relationships, is easy to interpret and accounts for the spatio-temporal trends in the data in a probabilistically rigorous way. The causal network confirms a large number of cyclic relationships between the selected health conditions and the interplay between skin and mental diseases. For acne, we observe a cyclic relationship with anxiety and attention deficit hyperactivity disorder (ADHD) and an indirect relationship with depression through sleep disorders. For dermatitis, we observe directed links to anxiety, depression and sleep disorders and a cyclic relationship with ADHD. We also observe a link between dermatitis and ADHD and a cyclic relationship between acne and ADHD. Furthermore, the network includes several direct connections between sleep disorders and other health conditions, highlighting the impact of the former on the overall health and well-being of the patient. The average R 2 for a condition given the values of all conditions in the previous week is 0.67: in particular, 0.42 for acne, 0.85 for asthma, 0.58 for ADHD, 0.87 for burn, 0.76 for erectile dysfunction, 0.88 for scars, 0.57 for alcohol disorders, 0.57 for anxiety, 0.53 for depression, 0.74 for dermatitis, 0.60 for sleep disorders and 0.66 for obesity. Mapping disease interplay, indirect relationships, and the key role of mediators, such as sleep disorders, will allow healthcare professionals to address disease management holistically and more effectively. Even if we consider all skin and mental diseases jointly, each disease subnetwork is unique, allowing for more targeted interventions.

Adults with both bipolar disorder and ADHD.

ADHD and bipolar disorder (BP) commonly coexist, and both share key symptoms, depending on affective state and emotional dysregulation. The overlap poses diagnostic challenges and may lead to underdiagnoses. Comorbid cases exhibit worsened symptom burden, increased psychiatric morbidity, admissions, and suicide attempts. Treating BP before ADHD is recommended. Stimulant use combined with mood stabilisers may be effective and relatively safe; however, this review finds that well-designed randomised controlled studies in the area is warranted.

Identifying temporal pathways using biomarkers in the presence of latent non-Gaussian components.

Time-series data collected from a network of random variables are useful for identifying temporal pathways among the network nodes. Observed measurements may contain multiple sources of signals and noises, including Gaussian signals of interest and non-Gaussian noises, including artifacts, structured noise, and other unobserved factors (eg, genetic risk factors, disease susceptibility). Existing methods, including vector autoregression (VAR) and dynamic causal modeling do not account for unobserved non-Gaussian components. Furthermore, existing methods cannot effectively distinguish contemporaneous relationships from temporal relations. In this work, we propose a novel method to identify latent temporal pathways using time-series biomarker data collected from multiple subjects. The model adjusts for the non-Gaussian components and separates the temporal network from the contemporaneous network. Specifically, an independent component analysis (ICA) is used to extract the unobserved non-Gaussian components, and residuals are used to estimate the contemporaneous and temporal networks among the node variables based on method of moments. The algorithm is fast and can easily scale up. We derive the identifiability and the asymptotic properties of the temporal and contemporaneous networks. We demonstrate superior performance of our method by extensive simulations and an application to a study of attention-deficit/hyperactivity disorder (ADHD), where we analyze the temporal relationships between brain regional biomarkers. We find that temporal network edges were across different brain regions, while most contemporaneous network edges were bilateral between the same regions and belong to a subset of the functional connectivity network.

Barriers and facilitators to implementing a Canadian shared-care ADHD program in pediatric settings in Shanghai: a consolidated framework for implementation research approach.

OBJECTIVES: The vast majority of children with Attention-Deficit Hyperactivity Disorder (ADHD) do not have access to proper diagnosis and treatment in China. The goal of this project is to identify the challenges and facilitators in implementing a Canadian ADHD Shared Care Pathways program in pediatric settings in Shanghai region. METHODS: Purposive semi-structured focus groups were conducted on a total of 13 healthcare practitioners from the Shanghai Xinuha, Ninghai and Chongming hospitals. Two independent researchers conducted a thematic analysis of the data with themes emerging based on the Consolidated Framework for Implementation Research (CFIR). RESULTS: Notable barriers identified by participants included: (1) lack of knowledge in the management of ADHD, primarily among general practitioners; (2) lack of resources such as lack of staff, time, and medication for ADHD; (3) challenges in implementing an international multicentre intervention (such as communication difficulties between teams and integration of resources available in different hospitals); and (4) mental health stigma, difficulties in identifying ADHD patients, and logistical problems related to medication procurement rules put in place by provincial governments. Notable facilitators included: (1) the strong motivation of stakeholders and their confidence in their ability to learn and subsequently execute action plans to achieve the implementation goal; (2) the compatibility between the values and goals of the stakeholders and those of the program despite some cultural tension, a positive learning climate, strong tensions for change, and the high interest of organization leaders in engaging in the program (3) the perceived benefits of the program, such as standardization of the diagnostic and treatment process, and engaging primary care providers in ADHD management; and (4) the strong relationship between participating institutions and schools as well as provincial health initiatives available to support collaborative models of care. Mixed factors to implementation were also explored. CONCLUSIONS: Appropriate training of health care providers, cultural adaptation of the program, increase public awareness about ADHD to decrease stigma, as well as strong project management and guidelines that clearly describe the role and expectations of each team member appeared essential to successful implementation.

A Cluster Analysis of Neuropsychological Impairment in Borderline Personality Disorder: Identifying a Neurocognitive Subtype Linked to Attention Deficit Hyperactivity Disorder.

INTRODUCTION: Cognitive impairment associated with borderline personality disorder (BPD) has been consistently demonstrated. However, a specific neuropsychological profile has not yet been established for this disorder, maybe due to the heterogeneity of BPD. The aim of this work is the search for distinct neuropsychological subtypes among patients with BPD and for the association of neuropsychological subgroups with specific clinical characteristics. METHODOLOGY: One hundred fifteen patients with BPD diagnosis received an extensive neuropsychological evaluation assessing attentional, memory and executive functions indexes. For subtyping strategies, a cluster analysis of neuropsychological BPD distribution was performed. Central clinical dimensions of BPD were measured and analysed in relation with the obtained neuropsychological clusters. RESULTS: Two clusters were found: Cluster 1 showed a significantly lower score on the working memory index, and Cluster 2 had significantly worse overall executive performance, response inhibition and planning abilities. Patients in the neurocognitive Cluster 2 showed significantly higher clinical deficits of attention as measured with subscales of the CAARS attention deficit hyperactivity disorder (ADHD) index (F = 2.549, p < 0.005, d = 11.49). CONCLUSIONS: Two neuropsychological clusters of patients were found in the BPD sample: Cluster 1 patients showed greater impairment in working memory, while Cluster 2 patients had greater deficits of executive functioning, particularly for response inhibition and planning. In addition, BPD patients with greater executive deficits presented greater levels of ADHD clinical features. These findings might also facilitate earlier diagnosis of severe BPD patient profiles and to establish more personalized treatment based on neurocognitive stimulation.

Dispensing of attention-deficit hyperactivity disorder medications for adults in Aotearoa New Zealand.

AIM: To report dispensing trends for attention-deficit hyperactivity disorder (ADHD) in Aotearoa New Zealand, focussing on adults in order to highlight increasing demand for ADHD treatment by adults and to prompt discussion. METHOD: Demographic and dispensing data for ADHD were obtained from the Pharmaceutical Collection between the years 2006 and 2022. This was stratified according to child (<18 years) and adult (≥18 years) populations. Population dispensing rates for methylphenidate and atomoxetine were calculated. Key findings are reported to reveal demographic and dispensing trends for medication treated ADHD in Aotearoa New Zealand. RESULTS: More males are dispensed ADHD medication than females, although this is less evident for adults (54.8% male). Maori adults are dispensed ADHD medication at a lower rate (10.1%) than Maori children (22.9%). There was a 10-fold increase in dispensing of ADHD medication for adults compared to a three-fold increase for children over the study period. New dispensing for adults doubled between 2011 and 2022. CONCLUSION: Medication treatment for adult ADHD is increasing in Aotearoa New Zealand and includes treatment for persisting childhood ADHD and new diagnoses made in adulthood. Despite increases, dispensing rates for ADHD remain lower than prevalence estimates, suggesting a significant treatment gap. Addressing the treatment gap for ADHD may reduce negative effects of ADHD, but wider social influences should also be considered.

Effectiveness of Power Exercises Compared to Traditional Strength Exercises on Motor Skills, Muscle Performance and Functional Muscle Strength of Children with Attention Deficit Hyperactivity Disorder: A Single-Blind Randomized Controlled Trial.

The aim of this study was to compare the impact of 8-weeks of power exercises compared to traditional strength exercises on motor abilities, muscle performance, and functional strength in children with ADHD. A total of 34 children with ADHD were randomized into two groups to receive functional power training (n = 17, M age: 121.2 ± 16.6 months) and traditional strength training (n = 17, M age: 116.1 ± 13.4 months). After the 8-week intervention, two-way ANOVA results with 95% confidence intervals showed no differences between the groups in motor skills, muscle power, or functional muscle strength. However, the functional power training group had larger effect sizes and greater increases in total motor composite score (10% vs 7%), body coordination (13.8% vs 4.9%) and bilateral coordination (38.8% vs 27.9%) than the traditional strength training group. The power training group also exhibited catch-up growth with typically developing peers. These findings suggest that power exercises may be more effective than strength exercises for rapid force generation in daily life, particularly for children with ADHD.

Integrating Structural and Experiential Family Therapy in Neurodivergent Families: A Case Study.

Autism Spectrum Disorder (ASD) is widely regarded as the most severe childhood behavioral disorder. However, society's lack of awareness regarding neurodevelopmental disorders, like autism, has led to a limited understanding of their profound impact on children and their families. Challenges include unique sensory experiences, communication and social interactions, strain on familial relationships, emotional toll on parents, and educational hurdles, which can significantly impact the well-being of individuals and their families. This case study explores the integration of Structural and Experiential Family Therapy in a neurodivergent family coping with ASD and Attention-Deficit/Hyperactivity Disorder (ADHD). Structural interventions focus on clarifying roles and redistributing caregiving responsibilities, addressing issues of communication, and power dynamics. Experiential interventions target emotion-focused techniques, empathy building, and cultural sensitivity training. This integration may promote lasting change in family dynamics and a call to empower parents within neurodivergent families through tailored interventions, contributing to a sustainable therapeutic approach.