Neurodevelopmental Disorders In Children Research Articles

Lead: Natural Occurrence, Toxicity to Organisms and Bioremediation by Lead-degrading Bacteria: A Comprehensive Review

Heavy metals (HMs) are widespread and vital to life, but their accumulation in organisms can be hazardous. Lead (Pb) has lately attracted considerable attention due to its devastating impacts on the environment and human health, such as its ability to produce neurodevelopmental disorders in children even at low exposure levels. Cardiovascular, renal, digestive, hematological, and reproductive consequences exist. The current review sheds light on the familiar sources of the HMs, their ecological hazards, the most common types with particular reference to Pb, its natural and artificial sources, physical and chemical characteristics, environmental and human health hazards, and control strategies using different approaches as remediation through (physical, chemical and biological strategies), microorganism-assisted bacteria with particular reference to the advantages and limitation of each approach. Through this review, we introduce a solution to eliminating the problem of Pb toxicity & accumulation in the food chain through endophytes bacteria, as it has high efficiency in treating lead toxicity. The presentation will show the mechanism of these microbes in treating lead toxicity.

A Deep Learning Approach to Imputation of Dynamic Pupil Size Data and Prediction of ADHD

Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children and adolescents. Traditional diagnosis methods of ADHD focus on observed behavior and reported symptoms, which may lead to a misdiagnosis. Studies have focused on computer-aided systems to improve the objectivity and accuracy of ADHD diagnosis by utilizing psychophysiological data measured from devices such as EEG and MRI. Despite their performance, their low accessibility has prevented their widespread adoption. We propose a novel ADHD prediction method based on the pupil size dynamics measured using eye tracking. Such data typically contain missing values owing to anomalies including blinking or outliers, which negatively impact the classification. We therefore applied an end-to-end deep learning model designed to impute the dynamic pupil size data and predict ADHD simultaneously. We used the recorded dataset of an experiment involving 28 children with ADHD and 22 children as a control group. Each subject conducted an eight-second visuospatial working memory task 160 times. We treated each trial as an independent data sample. The proposed model effectively imputes missing values and outperforms other models in predicting ADHD (AUC of 0.863). Thus, given its high accessibility and low cost, the proposed approach is promising for objective ADHD diagnosis.

Electroencephalogram (EEG) based prediction of attention deficit hyperactivity disorder (ADHD) using machine learning

“Attention-Deficit Hyperactivity Disorder (ADHD)” is a neuro-developmental disorder in children under 12 years old. Learning deficits, anxiety, depression, sensory processing disorder, and oppositional defiant disorder are the most frequent comorbidities of ADHD. This research focuses on ADHD in children, considering its common occurrence and frequent coexistence with other mental disorders. The study utilizes the resting-state open-eye “Electroencephalogram” (EEG) signals of 61 children with ADHD and 60 healthy children. Morphological and “Power Spectral Density” (PSD) features associated with ADHD are analysed and “Principal Component Analysis” (PCA) is employed to reduce data dimensionality. Classification algorithms including AdaBoost, “K-Nearest Neighbour” (KNN) classifier, Naive Bayes, and random forest are utilized, with the Bernoulli Naive Bayes classifier achieving the highest accuracy of 96%. This study found some relevant characteristics for classification at the frontal (F), central (C), and parietal (P) electrode placement sites. Finally, this reveals distinct EEG patterns in children with ADHD and the study provides a potential supplementary method for ADHD diagnosis.

Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups

Attention Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder in childhood that often persists into adulthood. Objectively diagnosing ADHD can be challenging due to the reliance on subjective questionnaires in clinical assessment. Fortunately, recent advancements in artificial intelligence (AI) have shown promise in providing objective diagnoses through the analysis of medical images or activity recordings. These AI-based techniques have demonstrated accurate ADHD diagnosis; however, the growing complexity of deep learning models has introduced a lack of interpretability. These models often function as black boxes, unable to offer meaningful insights into the data patterns that characterize ADHD. Objective:This paper proposes a methodology to interpret the output of an AI-based diagnosis system for combined ADHD in age and gender-stratified populations. Methods:Our system is based on the analysis of 24 hour-long activity records using Convolutional Neural Networks (CNNs) to classify spectrograms of activity windows. These windows are interpreted using occlusion maps to highlight the time–frequency patterns explaining ADHD activity. Results:Significant differences in the frequency patterns between ADHD and controls both in diurnal and nocturnal activity were found for all the populations. Temporal dispersion also presented differences in the male population. Conclusion:The proposed interpretation techniques for CNNs highlighted gender- and age-related differences between ADHD patients and controls. Leveraging these differences could potentially lead to improved diagnostic accuracy, especially if a larger and more balanced dataset is utilized. Significance:Our findings pave the way for the development of an AI-based diagnosis system for ADHD that offers interpretability, thereby providing valuable insights into the underlying etiology of the disease.

The association between screen time and genetic risks for neurodevelopmental disorders in children

Whether longer screen time in infancy increases risk of neurodevelopmental disorders (NDDs) such as autism spectrum disorder (ASD) and ADHD has long been debated, but no causal relationship between the two remains has been established. Using ongoing longitudinal cohort data, we found that in children 24 to 40 months of age, the genetic risk of ASD was associated with longer screen time and that of ADHD with an increase in screen time over time. These data suggest that prolonged screen time may not be a cause of the genetic risk for NDD, but an early sign of NDDs.

Transcranial random noise stimulation combined with cognitive training for treating ADHD: a randomized, sham-controlled clinical trial

Non-invasive brain stimulation has been suggested as a potential treatment for improving symptomology and cognitive deficits in Attention-Deficit/Hyperactivity Disorder (ADHD), the most common childhood neurodevelopmental disorder. Here, we examined whether a novel form of stimulation, high-frequency transcranial random noise stimulation (tRNS), applied with cognitive training (CT), may impact symptoms and neural oscillations in children with ADHD. We conducted a randomized, double-blind, sham-controlled trial in 23 unmedicated children with ADHD, who received either tRNS over the right inferior frontal gyrus (rIFG) and left dorsolateral prefrontal cortex (lDLPFC) or sham stimulation for 2 weeks, combined with CT. tRNS + CT yielded significant clinical improvements (reduced parent-reported ADHD rating-scale scores) following treatment, compared to the control intervention. These improvements did not change significantly at a 3-week follow-up. Moreover, resting state (RS)-EEG periodic beta bandwidth of the extracted peaks was reduced in the experimental compared to control group immediately following treatment, with further reduction at follow-up. A lower aperiodic exponent, which reflects a higher cortical excitation/inhibition (E/I) balance and has been related to cognitive improvement, was seen in the experimental compared to control group. This replicates previous tRNS findings in adults without ADHD but was significant only when using a directional hypothesis. The experimental group further exhibited longer sleep onset latencies and more wake-up times following treatment compared to the control group. No significant group differences were seen in executive functions, nor in reported adverse events. We conclude that tRNS + CT has a lasting clinical effect on ADHD symptoms and on beta activity. These results provide a preliminary direction towards a novel intervention in pediatric ADHD.

Parental Perceptions and Usage of Unlicensed Cannabidiol Products in Children With Anxiety and Neurodevelopmental Disorders.

Data evaluating the use of unlicensed cannabidiol (CBD) products for the treatment of -symptoms associated with anxiety and neurodevelopmental disorders in children are limited despite increasing -product availability. The objectives of this study are to quantify the usage of unlicensed CBD products among pediatric patients diagnosed with anxiety and neurodevelopmental disorders and compare the -perceptions of CBD between parents who administer a CBD product to a child and parents who do not. A survey containing 31 items was designed after pretesting with pediatric health care professionals. The refined survey was distributed using Qualtrics Panels to a representative sample of US parents of a child 7 to 18 years of age diagnosed with attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and/or generalized anxiety disorder (GAD). Responses were analyzed with descriptive -statistics and compared using a χ2 or Mann-Whitney U test. Of the 518 completed surveys, 162 parents (31.3%) reported the administration of an unlicensed CBD product to a child with ADHD, ASD, and/or GAD. The highest prevalence of use was found in the West geographic region and among children diagnosed with GAD or with 2 or more diagnoses (i.e., ADHD, ASD, GAD). Parents who administered CBD products had more positive views of product safety and higher -perceived community support for usage. Nearly one-third of parents have administered an unlicensed CBD product to a child with ADHD, ASD, and GAD. Health care providers should assess pediatric patients for CBD use and be prepared to engage parents in conversations regarding the safety of these products.

Developmental deviation in delay discounting as a transdiagnostic indicator of risk for child psychopathology.

The tendency to prefer smaller, immediate rewards over larger, delayed rewards is known as delay discounting (DD). Developmental deviations in DD may be key in characterizing psychiatric and neurodevelopmental disorders. Recent work empirically supported DD as a transdiagnostic process in various psychiatric disorders. Yet, there is a lack of research relating developmental changes in DD from mid-childhood to adolescence to psychiatric and neurodevelopmental disorders. Additionally, examining the interplay between socioeconomic status/total household income (THI) and psychiatric symptoms is vital for a more comprehensive understanding of pediatric pathology and its complex relationship with DD. The current study addresses this gap in a robust psychiatric sample of 1843 children and adolescents aged 5-18 (M = 10.6, SD = 3.17; 1,219 males, 624 females). General additive models (GAMs) characterized the shape of age-related changes in monetary and food reward discounting for nine psychiatric disorders compared with neurotypical youth (NT; n = 123). Over 40% of our sample possessed a minimum of at least three psychiatric or neurodevelopmental disorders. We used bootstrap-enhanced Louvain community detection to map DD-related comorbidity patterns. We derived five subtypes based on diagnostic categories present in our sample. DD patterns were then compared across each of the subtypes. Further, we evaluated the effect of cognitive ability, emotional and behavioral problems, and THI in relation to DD across development. Higher discounting was found in six of the nine disorders we examined relative to NT. DD was consistently elevated across development for most disorders, except for depressive disorders, with age-specific DD differences compared with NTs. Community detection analyses revealed that one comorbidity subtype consisting primarily of Attention-Deficit/Hyperactivity Disorder (ADHD) Combined Presentation and anxiety disorders displayed the highest overall emotional/behavioral problems and greater DD for the food reward. An additional subtype composed mainly of ADHD, predominantly Inattentive Presentation, learning, and developmental disorders, showed the greatest DD for food and monetary rewards compared with the other subtypes. This subtype had deficits in reasoning ability, evidenced by low cognitive and academic achievement performance. For this ADHD-I and developmental disorders subtype, THI was related to DD across the age span such that participants with high THI showed no differences in DD compared with NTs. In contrast, participants with low THI showed significantly worse DD trajectories than all others. Our results also support prior work showing that DD follows nonlinear developmental patterns. We demonstrate preliminary evidence for DD as a transdiagnostic marker of psychiatric and neurodevelopmental disorders in children and adolescents. Comorbidity subtypes illuminate DD heterogeneity, facilitating the identification of high-risk individuals. Importantly, our findings revealed a marked link between DD and intellectual reasoning, with children from lower-income households exhibiting lower reasoning skills and heightened DD. These observations underscore the potential consequences of compromised self-regulation in economically disadvantaged individuals with these disorders, emphasizing the need for tailored interventions and further research to support improved outcomes.

Fearful versus loving parents: a cross-sectional study in Mysuru city to assess influence of parenting style on ADHD

Background: Attention Deficit Hyperactivity Disorder (ADHD) is a common childhood neurodevelopmental disorder. There are various genetic and social factors implicated in the development of ADHD. One of the factors is parenting style. Thus, the present study was undertaken to assess the various parenting styles present in the population and the statistical association between parenting style and ADHD prevalence. Methods: A cross- sectional study among 470 primary school students was undertaken in Mysuru district. Oral assent from students and written consent from parents was obtained for collection of data. Data was entered in MS Excel and analysed using Chi- square/Fisher's Exact test. p<0.05 was considered to be statistically significant. Results: The present study found that majority of mothers and fathers were supportive towards their children, 260 (56.4%) and 246 (53.02%) respectively. It was found that majority of the parents 324 (68.93%) preferred to sit down and reason with their children. ADHD scores for inattention showed a statistical significance with father’s parenting style (p= 0.044). However, mother’s parenting style did not show any association with ADHD scores. Conclusions: The development of regular, structured parent management programmes would be helpful in improving parents' knowledge about ADHD children and changing their attitudes towards them.

Functional Connectivity Dynamics show Resting-State Instability and Rightward Parietal Dysfunction in ADHD.

Attention Deficit/Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders in children and is characterised by inattention, impulsiveness and hyperactivity. While several studies have analysed the static functional connectivity in the resting-state functional MRI (rs-fMRI) of ADHD patients, detailed investigations are required to characterize the connectivity dynamics in the brain. In an attempt to establish a link between attention instability and the dynamic properties of Functional Connectivity (FC), we investigated the differences in temporal variability of FC between 40 children with ADHD and 40 Typically Developing (TD) children. Using a sliding-window method to segment the rs-fMRI scans in time, we employed seed-to-voxel correlation analysis for each window to obtain time-evolving seed connectivity maps for seeds placed in the posterior cingulate cortex (PCC) and the medial prefrontal cortex (mPFC). For each subject, the standard deviation of the voxel connectivity time series was used as a measure of the temporal variability of FC. Results showed that ADHD patients exhibited significantly higher variability in dFC than TD children in the cingulo-temporal, cingulo-parietal, fronto-temporal, and fronto-parietal networks ( pFW E < 0.05). Atypical temporal variability was observed in the left and right temporal gyri, the anterior cingulate cortex, and lateral regions of the right parietal cortex. The observations are consistent with visual attention issues, executive control deficit, and rightward parietal dysfunction reported in ADHD, respectively. These results help in understanding the disorder with a fresh perspective linking behavioural inattention with instability in FC in the brain.

Altered offspring neurodevelopment in an L-NAME-induced preeclampsia rat model.

To investigate the mechanism underlying the increased risk of subsequent neurodevelopmental disorders in children born to mothers with preeclampsia, we evaluated the neurodevelopment of offspring of a preeclampsia rat model induced by the administration of N-nitro-L-arginine methyl ester (L-NAME) and identified unique protein signatures in the offspring cerebrospinal fluid. Pregnant rats received an intraperitoneal injection of L-NAME (250 mg/kg/day) during gestational days 15-20 to establish a preeclampsia model. Behavioral experiments (negative geotaxis, open-field, rotarod treadmill, and active avoidance tests), immunohistochemistry [anti-neuronal nuclei (NeuN) staining in the hippocampal dentate gyrus and cerebral cortex on postnatal day 70], and proteome analysis of the cerebrospinal fluid on postnatal day 5 were performed on male offspring. Offspring of the preeclampsia dam exhibited increased growth restriction at birth (52.5%), but showed postnatal catch-up growth on postnatal day 14. Several behavioral abnormalities including motor development and vestibular function (negative geotaxis test: p < 0.01) in the neonatal period; motor coordination and learning skills (rotarod treadmill test: p = 0.01); and memory skills (active avoidance test: p < 0.01) in the juvenile period were observed. NeuN-positive cells in preeclampsia rats were significantly reduced in both the hippocampal dentate gyrus and cerebral cortex (p < 0.01, p < 0.01, respectively). Among the 1270 proteins in the cerebrospinal fluid identified using liquid chromatography-tandem mass spectrometry, 32 were differentially expressed. Principal component analysis showed that most cerebrospinal fluid samples achieved clear separation between preeclampsia and control rats. Pathway analysis revealed that differentially expressed proteins were associated with endoplasmic reticulum translocation, Rab proteins, and ribosomal proteins, which are involved in various nervous system disorders including autism spectrum disorders, schizophrenia, and Alzheimer's disease. The offspring of the L-NAME-induced preeclampsia model rats exhibited key features of neurodevelopmental abnormalities on behavioral and pathological examinations similar to humans. We found altered cerebrospinal fluid protein profiling in this preeclampsia rat, and the unique protein signatures related to endoplasmic reticulum translocation, Rab proteins, and ribosomal proteins may be associated with subsequent adverse neurodevelopment in the offspring.

Navigating the barriers to supporting neurodevelopmental disorders in children in out-of-home care

Children with neurodevelopmental disorders are currently overrepresented in the out-of-home-care (OOHC) system. This overrepresentation has created an increasing need for staff and carers to be equipped to handle the complexities these conditions entail. The aim of the present study was to gather information to understand the current service needs, practices, and knowledge within a private provider of OOHC services in Queensland. This included identifying barriers to the implementation of the Australian National Clinical Assessment Framework, which aims to facilitate appropriate screening, assessment and intervention provision for children and young people in OOHC. Twenty-five staff and 15 caregivers participated in an online survey. Results demonstrated that both staff and carers felt they needed additional training in understanding and supporting children with neurodevelopmental disorders and identified a number of barriers to accessing services. Barriers included: insufficient access to information (e.g., lack of training, health records missing or incomplete and lack of appropriate pre-placement consultation) and lack of available resources (e.g., extensive wait times for services due to reliance on public health system and ‘red tape’ systemic issues). The results also highlighted the level of unmet physical, developmental and psychological needs for children and young people in care, with a third of carers reporting concerns. Overall, the current study provides critical recommendations for future implementation strategies and interventions to better meet the needs of children and young people in the Queensland OOHC system.

Prevalence, Incidence, and Surgical Treatment Trends of Cerebral Palsy across Türkiye: A Nationwide Cohort Study.

Cerebral Palsy (CP) is the most prevalent neurodevelopmental disorder in childhood. Our aim is to identify the demographics of CP in Turkish children in addition to clinical associations and surgical preferences. Based on national health system data and the International Classification of Diseases (ICD)-10 code for CP, data were evaluated from a total of 53,027 children with CP born between 2016 and 2022, and 9658 of them underwent orthopedic surgery in those years. The incidence and frequency of CP were assessed for the parameters of age and gender. Age at the time of surgery; codes pertaining to surgical interventions; and regions, cities, and hospitals where diagnoses and surgical procedures were performed were also evaluated. There were 29,606 male (55.8%) and 23,421 (44.2%) female patients. The diagnoses of the patients were mostly (76.1%) performed in secondary and tertiary hospitals. The prevalence of CP among children in 2016-2022 was estimated to be 7.74/1000 children. The minimum and maximum incidence rates of cerebral palsy among children between 2016 and 2022 were calculated to be 0.45 and 1.05 per 1000, respectively. Tenoplasty-myoplasty tendon transfer operations were the most common surgeries (47.1%). CP remains a significant health challenge, underpinning a considerable proportion of childhood motor dysfunction. A dedicated national registry system for CP focused on classifying the condition, streamlining treatment, and tracking outcomes would be a valuable tool in our collective efforts to address this critical issue more effectively.

Protocol for the mixed methods, Managing young people (aged 16–25) with Attention deficit hyperactivity disorder in Primary care (MAP) study: mapping current practice and co-producing guidance to improve healthcare in an underserved population

IntroductionAttention deficit hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder in children and adolescents, with an average worldwide prevalence of 5%. Up to 40% of young people continue to...

Child neurodevelopmental disorders in armed conflict country, case of DR Congo: long-term trauma impact on brain development in childhood: review

Child neurodevelopmental disorders in armed conflict country, case of DR Congo: long-term trauma impact on brain development in childhood: review

Body Composition in Fussy-Eating Children, with and without Neurodevelopmental Disorders, and Their Parents, Following a Taste Education Intervention.

Fussy eaters may have an increased risk of becoming overweight or obese as adolescents, with fussy eating and weight status also correlating with neurodevelopmental disorders (NDs) such as autism spectrum disorder (ASD) and attention deficit/hyperactivity disorder (ADHD). Further, maternal and children's weight status relationships are well-established. In this study, we analyzed the body composition of parent-child dyads using bioelectrical impedance analysis (BIA). Fifty-one children aged 8-12 years, with an ND (n = 18) and without (n = 33), and their parents, participated in a 7-week food-based Taste Education intervention with 6-month follow-up. The paired t-test was used to compare differences in body composition based on children's ND status. In logistic regression analysis, odds of children being in the overweight/obese or overfat/obese categories increased by a factor of 9.1 and 10.6, respectively, when having NDs, adjusting for parents' BMI (body mass index) or fat percentage (FAT%). Children with NDs and their parents had significantly higher mean BMI-SDS (BMI standard deviation score) and FAT% at pre-intervention than children without NDs and their parents. Mean BMI-SDS and FAT% lowered significantly between time points for children with NDs and their parents but not for children without NDs or their parents. The findings underline the need for additional exploration into the relationships between children's and parents' body composition based on children's ND status.

Sodium valproate: risk of neurodevelopmental disorders in children after paternal exposure

Sodium valproate: risk of neurodevelopmental disorders in children after paternal exposure

CNTNAP2 intracellular domain (CICD) generated by γ-secretase cleavage improves autism-related behaviors

As the most prevalent neurodevelopmental disorders in children, autism spectrum disorders (ASD) are characterized by deficits in language development, social interaction, and repetitive behaviors or inflexible interests. Contactin associated protein like 2 (CNTNAP2), encoding a single transmembrane protein (CNTNAP2) with 1331 amino acid residues, is a widely validated ASD-susceptible gene. Cntnap2-deficient mice also show core autism-relevant behaviors, including the social deficits and repetitive behavior. However, the cellular mechanisms underlying dysfunction CNTNAP2 and ASD remain elusive. In this study, we found a motif within the transmembrane domain of CNTNAP2 was highly homologous to the γ-secretase cleavage site of amyloid-β precursor protein (APP), suggesting that CNTNAP2 may undergo proteolytic cleavage. Further biochemical analysis indicated that CNTNAP2 is cleaved by γ-secretase to produce the CNTNAP2 intracellular domain (CICD). Virally delivery of CICD to the medial prefrontal cortex (mPFC) in Cntnap2-deficient (Cntnap2−/−) mice normalized the deficit in the ASD-related behaviors, including social deficit and repetitive behaviors. Furthermore, CICD promoted the nuclear translocation of calcium/calmodulin-dependent serine protein kinase (CASK) to regulate the transcription of genes, such as Prader Willi syndrome gene Necdin. Whereas Necdin deficiency led to reduced social interaction in mice, virally expression of Necdin in the mPFC normalized the deficit in social preference of Cntnap2−/− mice. Our results thus reveal a critical function of CICD and highlight a role of the CNTNAP2-CASK-Necdin signaling pathway in ASD.

Neurodevelopmental Disorders in Children: Neuroplasticity and the Possibilities of Nootropic Pharmacotherapy

Neurodevelopmental Disorders in Children: Neuroplasticity and the Possibilities of Nootropic Pharmacotherapy

The Effect of Physical Activity Intervention on Motor Proficiency in Children and Adolescents with ADHD: A Systematic Review and Meta-analysis.

Attention deficit hyperactivity disorder (ADHD) is a frequently diagnosed neurodevelopmental disorder in children and adolescents. The objective of this review was to synthesize empirical studies that investigated the effects of physical activity (PA) on motor proficiency in this population. A systematic review and meta-analysis were conducted following the cochrane guidelines for systematic reviews. In May 2022, a systematic search of eight electronic databases retrieved 476 results, which were screened independently by two reviewers. Based on the inclusion and exclusion criteria, 12 studies were selected for systematic review, and 10 were included in the meta-analysis. A beneficial effect of PA on overall motor proficiency (SMD = 1.12; 95% CI [0.63 to 1.61]; p < 0.05) was observed. Similar positive effects were found for motor proficiency composites, including object control, fine manual control, and body coordination. These results indicate that PA improves the motor proficiency of children and adolescents with ADHD.