Attention Deficit Hyperactivity Disorder Group Research Articles

Emotional dysregulation and stimulant medication in adult ADHD.

Emotional dysregulation affects up to two-thirds of adult patients with attention-deficit/hyperactivity disorder (ADHD) and is increasingly seen as a core ADHD symptom that is clinically associated with greater functional impairment and psychiatric comorbidity. We sought to investigate emotional dysregulation in ADHD and explored its neural underpinnings. We studied emotion induction and regulation in a clinical cohort of adult patients with ADHD before and after a stimulant challenge. We compared patients with age- and gender-matched healthy controls using behavioural, structural, and functional measures. We hypothesized that patients would demonstrate aberrant emotion processing compared with healthy controls, and sought to find whether this could be normalized by stimulant medication. Behaviourally, the ADHD group showed reduced emotion induction and regulation capacity. Brain imaging revealed abberant activation and deactivation patterns during emotion regulation, lower grey-matter volume in limbic and paralimbic areas, and greater grey-matter volume in visual and cerebellar areas, compared with healthy controls. The behavioural and functional deficits seen in emotion induction and regulation in the ADHD group were not normalized by stimulant medication. Patients with ADHD may have impaired emotion induction and emotion regulation capacity, but these deficits are not reversed by stimulant medication. These results have important clinical implications when assessing which aspects of emotional dysregulation are relevant for patients and if and how traditional ADHD pharmacotherapy affects emotion induction and emotion regulation.

Identifying cognitive profiles in children with neurodevelopmental disorders using online cognitive testing.

Children with neurodevelopmental disorders (NDDs) such as autism spectrum disorder (ASD), and attention deficit hyperactivity disorder (ADHD) tend to exhibit similar deficits in attention and memory ability. Early screening of cognitive deficits in children with NDDs, particularly in preschool children, is fundamental to improving cognitive and academic outcomes. In order to determine cognitive profiles in children with ASD and ADHD, we developed accessible audiovisual instructions for an online battery of 13 cognitive tests. Children ages 4-16 who were diagnosed with ADHD (n = 83), or ASD (n = 37), or who were typically developing children (TD) (n = 86) were recruited. Data were analyzed using a stepwise Discriminant Analysis to determine which cognitive tasks were the strongest discriminators between the diagnostic groups. Results revealed four tasks reflective of working memory, reasoning, and attentional processes, which correctly classified approximately 53-60% of each group. The ADHD group had lower scores on attentional tasks compared to TD, while ASD group had lower scores on reasoning tasks compared to the TD children, and made more attempts across all four tasks. The results from this study stress the need for cognitive screening assessments that include domain-specific items to improve the characterization of executive function deficits and promote academic achievement in all children with NDDs.

Differentiating Performance on the Connors Continuous Performance Test (CPT-3) as a Function of Comorbid Internalizing Psychopathology.

Internalizing psychopathology commonly co-occurs with attention-deficit/hyperactivity disorder (ADHD). Attention concerns are present in both ADHD and internalizing disorders, yet the neuropsychological functioning of those with comorbid ADHD and internalizing psychopathology is underexamined. This study compared Conners' Continuous Performance Test-Third Edition (CPT-3) profiles across ADHD (n = 141), internalizing psychopathology (n = 78), and comorbid (ADHD/internalizing psychopathology; n = 240) groups. Compared to the internalizing psychopathology group, the comorbid group had higher mean T-scores on CPT-3 indices indicative of inattentiveness and impulsivity and more clinically elevated T-scores (T>60) on indices measuring inattentiveness and impaired sustained attention. Patients in the comorbid group were also more likely to have abnormal overall CPT-3 profiles (>2 elevated T-scores) than the ADHD and psychopathology only groups. Patients with comorbid ADHD/internalizing psychopathology may evidence a more impaired attentional performance on the CPT-3, which could aid in more tailored treatment planning.

Temporal Alpha Dissimilarity of ADHD Brain Network in Comparison With CPT and CATA.

Attention deficit hyperactivity disorder (ADHD) is a chronic neurological and psychiatric disorder that affects children during their development. To find neural patterns for ADHD and provide subjective features as decision references to assist specialists and physicians. Many studies have been devoted to investigating the neural dynamics of the brain through resting-state or continuous performance tests (CPT) with EEG or functional magnetic resonance imaging (fMRI). The present study used coherence, which is one of the functional connectivity (FC) methods, to analyze the neural patterns of children and adolescents (8-16 years old) under CPT and continuous auditory test of attention (CATA) task. In the meantime, electroencephalography (EEG) oscillations were recorded by a wireless brain-computer interface (BCI). 72 children were enrolled, of which 53 participants were diagnosed with ADHD and 19 presented to be typical developing (TD). The experimental results exhibited a higher difference in alpha and theta bands between the TD group and the ADHD group. While the differences between the TD group and the ADHD group in all four frequency domains were greater than under CPT conditions. Statistically significant differences ( [Formula: see text]) were observed between the ADHD and TD groups in the alpha rhythm during the CATA task in the short-range of coherence. For the temporal lobe FC during the CATA task, the TD group exhibited statistically significantly FC ( [Formula: see text]) in the alpha rhythm compared to the ADHD group. These findings offering new possibilities for more techniques and diagnostic methods in finding more ADHD features. The differences in alpha and beta frequencies were more pronounced in the ADHD group during the CPT task compared to the CATA task. Additionally, the disparities in brain activity were more evident across delta, theta, alpha and beta frequency domains when the task given was a CATA as opposed to a CPT. The findings presented the underlying mechanisms of the FC differences between children and adolescents with ADHD. Moreover, these findings should extend to use machine learning approaches to assist the ADHD classification and diagnosis.

Early maladaptive schemas in adolescents with attention deficit hyperactivity disorder.

Current evidence suggests that early maladaptive schemas are affected in attention deficit hyperactivity disorder (ADHD). Most of the studies on the subject have been conducted with adults, but the number of studies conducted with adolescents with ADHD is quite limited. The aim of this study was to evaluate early maladaptive schemas in adolescents diagnosed with ADHD. The study included 66 patients diagnosed with ADHD and 70 healthy adolescents who were similar to the case group in terms of age and gender. Clinical evaluation of the case and control groups were performed with "The Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version, DSM-5 November 2016-Turkish Adaptation (K-SADS-PL-DSM-5-T)". "Conners-Wells Adolescent Self-Report Scale - Revised Short Form (CASS-RS)" and "Set of Early Maladaptive Schema Questionnaires for Children and Adolescents between the ages of 10-16" were administered to all participants. It was determined that the schema scores of "dependence/incompetence", "vulnerability to harm or illness", "entitlement/grandiosity", "insufficient self-control", "subjugation" were significantly higher in the ADHD group than in the control group. A negative, significant relationship was found between age and "enmeshment/undeveloped self", "entitlement/grandiosity" and "insufficient self-control" schema scores. There was no significant difference between schema scores in terms of gender in the ADHD group. Additionally, no significant relationship was found between the education level of the parents, family income levels and schema scores. A significant positive relationship was found between the CASS-RS scores and all schema scores. As a result of the regression analysis, it was determined that CASS-RS scores positively predicted all schema scores, while the age variable negatively predicted only the schema scores of "enmeshment/undeveloped self". Results of this study showed that there were significant differences in adolescents in the ADHD group compared to the control group in terms of early maladaptive schemas, and that ADHD symptom levels was associated with early maladaptive schemas.

Identifying Autistic-Like Symptoms in Children with ADHD: A Comparative Study Using ADOS-2.

Recent literature has focused attention on the presence of autistic-like symptoms in children with Attention Deficit/Hyperactivity Disorder (ADHD), who often exhibit social difficulties, posing challenges for a distinct clinical diagnosis. The current study aimed to identify the specific pattern of autistic symptoms in subjects with ADHD or Autistic Spectrum Disorder (ASD), examining similarities or differences at both the domain and individual item levels. In this study, we enrolled 43 school-age children divided into the following: the ADHD group (n=25) consisted of children initially referred for ASD symptoms but subsequently clinically diagnosed with ADHD, and the ASD group consisted of 18 children with ASD. We used the Autism Diagnostic Observation Schedule, 2nd edition (ADOS-2), to examine relative differences in the presence of symptoms such as deficits in communication and social interaction, and restricted and repetitive behaviors in these two groups. Comparison between groups was conducted to explore differences in IQ, age, ADOS-2 domains, and externalizing and internalizing problems among the groups. We found significant differences between the groups when comparing summary scores of ADOS-2 domains (Social Affect, Restricted and Repetitive Behavior, and Total Score). Interestingly, at the individual item level, the ADHD group exhibited a similar level of atypical behaviors compared to the ASD group in two items related to the social-communication area: "Pointing" and "Gestures". Additionally, the frequencies of "Stereotyped/idiosyncratic words or phrases", "Mannerisms", and "Repetitive interests and behaviors" also showed similarities between groups. These findings indicate the importance of exploring and developing potential transdiagnostic domains that could be targeted for treatments specifically designed for children with ADHD.

An investigation on the alterations in Wnt signaling in ADHD across developmental stages

The canonical Wnt signaling pathway plays a vital role in the developmental processes of the Central Nervous System throughout both prenatal and postnatal stages, as well as in maintaining homeostasis during adulthood. Its complex intracellular cascade involves the participation of key proteins (i.e., GSK3β and β-catenin) to activate the transcription of Wnt target genes. These genes subsequently control processes like cell proliferation, maturation, and the determination of cell fate. Previous studies suggest that this pathway can also be associated with Attention-Deficit Hyperactivity Disorder (ADHD), a neurodevelopmental disorder with multifactorial etiology. This study aimed to clarify if and at what developmental stage the Wnt pathway is altered in ADHD. Accordingly, we carried out proteomic and functional assessments of the Wnt pathway using Western Blot and reporter assays, respectively. These assessments were performed at the induced pluripotent stem cell (iPSC), neural stem cell (NSC), and neuronal phases. IPSCs were generated from somatic cells retrieved from 5 controls and 5 patients diagnosed with ADHD. As opposed to the developmental stage of iPSCs, ADHD NSCs showed alterations in the protein expression of both GSK3β and β-catenin, suggesting increased Wnt activity in the ADHD group. Moreover, Wnt reporter assays confirmed higher Wnt activity in ADHD NSCs. Our molecular findings in NSCs correlated with genetic predisposition to ADHD and clinical traits displayed by their respective donors. In conclusion, these results suggest that a crucial cellular pathway is disrupted in patient-specific NSCs, potentially explaining the developmental deficits clinically exhibited by ADHD patients.

Childhood ADHD and subthreshold symptoms are associated with cognitive functioning at age 40-a cohort study on perinatal birth risks.

In this prospective cohort study over 40 years we investigated the effect of childhood attention-deficit/hyperactivity disorder (ADHD) and subthreshold ADHD on cognitive performance in adulthood. The cohort comprised individuals with mild perinatal risks. Childhood ADHD group (cADHD, n = 39) was compared to a group with subthreshold childhood attention or hyperactivity symptoms (cAP; n = 79), a group with similar perinatal risks but no ADHD symptoms (n = 255), and to controls without ADHD symptoms or perinatal risks (n = 69). The groups were assessed with multiple neuropsychological measures in domains of verbal reasoning, perceptual skills, memory, working memory, attention, executive functions, and speed. Group-level differences and frequencies of deficient functioning were analyzed. Overall, the groups' performance differed in all cognitive domains at age 40. Verbal reasoning, perceptual skills, memory, and speed had the largest effect sizes (0.51-0.62). The cADHD group's performance was lower than the other groups' on 13 out of 21 measures. The cAP group performed poorer than controls on five measures. In the cADHD group, 23% had three or more deficient cognitive domains, compared to 4-6% in the other groups. Childhood ADHD is associated with impaired cognitive functioning in adulthood on several cognitive domains whereas childhood subthreshold ADHD is linked to fewer cognitive deficits. Task complexity was linked to poorer performance within the ADHD group. Our results add to the scarce longitudinal evidence of cognitive outcomes related to childhood ADHD and subthreshold symptoms.

Unveiling critical ADHD biomarkers in limbic system and cerebellum using a binary hypothesis testing approach.

Attention deficit hyperactivity disorder (ADHD) is a common childhood developmental disorder. In recent years, pattern recognition methods have been increasingly applied to neuroimaging studies of ADHD. However, these methods often suffer from limited accuracy and interpretability, impeding their contribution to the identification of ADHD-related biomarkers. To address these limitations, we applied the amplitude of low-frequency fluctuation (ALFF) results for the limbic system and cerebellar network as input data and conducted a binary hypothesis testing framework for ADHD biomarker detection. Our study on the ADHD-200 dataset at multiple sites resulted in an average classification accuracy of 93%, indicating strong discriminative power of the input brain regions between the ADHD and control groups. Moreover, our approach identified critical brain regions, including the thalamus, hippocampal gyrus, and cerebellum Crus 2, as biomarkers. Overall, this investigation uncovered potential ADHD biomarkers in the limbic system and cerebellar network through the use of ALFF realizing highly credible results, which can provide new insights for ADHD diagnosis and treatment.

Differences in Language and Literacy Competence According to the Comorbidity of Speech Sound Disorder and Attention-Deficit/Hyperactivity Disorder: for Preschool 6-Year-Olds

Objectives: This study analyzed the differences in language and literacy skills in the groups (None, SSD, ADHD, and SSD+ADHD) classified according to the comorbidity of Speech Sound Disorder (SSD) and Attention Deficit/Hyperactivity Disorder (ADHD).Methods: The Korean Children’s Panel Study (PSKC) conducted SSD and ADHD screening tests on 1,489 6-year-old preschoolers. In this study, cross-analysis was conducted by dividing the two disability groups into Absent and Present to measure the significance of the degree of accompanying disability. In addition, multivariate covariance analysis (MANCOVA) was conducted using intelligence as covariance as the result of scoring language and literacy skills of the four groups (None, SSD, ADHD, and SSD+ADHD).Results: First, through the results of this study, it was confirmed that SSD and ADHD are significantly more likely to be comorbid. Second, both children with SSD and those with ADHD had significantly lower language skills than Typically Developing children. Third, there was a difference in the detailed items of the SSD and ADHD group literacy. A notable distinction between the two groups is that the ADHD group had a higher rate of writing problems. Fourth, the comorbidity of SSD and ADHD showed different characteristics from None, SSD, and ADHD in reasoning areas such as “predicting the next story”.Conclusion: Speech problems that receive a lot of attention in preschool age childhood should be able to be interpreted and diagnosed in relation to problems with language development and language learning delays in school age children. From this point of view, this study is expected to serve as a basic study on the early diagnosis of language academic ability development.

Functional connectivity in ADHD children doing Go/No-Go tasks: An fMRI systematic review and meta-analysis.

Attention deficit hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders diagnosed in childhood. Two common features of ADHD are impaired behavioural inhibition and sustained attention. The Go/No-Go experimental paradigm with concurrent functional magnetic resonance imaging (fMRI) scanning has previously revealed important neurobiological correlates of ADHD such as the supplementary motor area and the prefrontal cortex. The coordinate-based meta-analysis combined with quantitative techniques, such as activation likelihood estimate (ALE) generation, provides an unbiased and objective method of summarising these data to understand the brain network architecture and connectivity in ADHD children. Go/No-Go task-based fMRI studies involving children and adolescent subjects were selected. Coordinates indicating foci of activation were collected to generate ALEs using threshold values (voxel-level: p < 0.001; cluster-level: p < 0.05). ALEs were matched to one of seven canonical brain networks based on the cortical parcellation scheme derived from the Human Connectome Project. Fourteen studies involving 457 children met the eligibility criteria. No significant convergence of Go/No-Go related brain activation was found for ADHD groups. Three significant ALE clusters were detected for brain activation relating to controls or ADHD < controls. Significant clusters were related to specific areas of the default mode network (DMN). Network-based analysis revealed less extensive DMN, dorsal attention network, and limbic network activation in ADHD children compared to controls. The presence of significant ALE clusters may be due to reduced homogeneity in the selected sample demographic and experimental paradigm. Further investigations regarding hemispheric asymmetry in ADHD subjects would be beneficial.

Classification of attention deficit hyperactivity disorder using machine learning on an EEG dataset

The neurodevelopmental disorder, Attention Deficit Hyperactivity Disorder (ADHD), frequently affecting youngsters, is characterized by persistent patterns of inattention, hyperactivity, and impulsivity, the etiology of which may involve a variety of genetic, environmental, and neurological factors. Electroencephalography (EEG) measures the electrical activity in the brain through neuronal activity, which is a function of cognitive processes. In this study, a previously recorded sample set of 121 children containing unbiased data from both ADHD and control group classes and EEG signals were analyzed to classify the ADHD patients. The samples were tested under different cognitive conditions, and multiple features were extracted using Euclidean distance. Many machine learning algorithms use Euclidean distance as their default distance metric to compare two recorded data points. The extracted features were trained using four supervised machine learning algorithms (linear regression, random forest, extreme gradient boosting, and K nearest neighbor (KNN)) based on the results of various frequency bands. The results suggest that the KNN algorithm produces the highest accuracy over other machine learning approaches, and results can be further improved with the application of hyperparameter tuning and used for classifying sub-groups of ADHD to identify the severity of the disorder.

Cortical gray-white matter contrast abnormalities in male children with attention deficit hyperactivity disorder.

Presently, research concerning alterations in brain structure among individuals with attention deficit hyperactivity disorder (ADHD) predominantly focuses on entire brain volume and cortical thickness. In this study, we extend our examination to the cortical microstructure of male children with ADHD. To achieve this, we employ the gray-white matter tissue contrast (GWC) metric, allowing for an assessment of modifications in gray matter density and white matter microstructure. Furthermore, we explore the potential connection between GWC and the severity of disorder in male children by ADHD. We acquired 3DT1 sequences from the public ADHD-200 database. In this study, we conducted a comparative analysis between 43 male children diagnosed with ADHD and 50 age-matched male controls exhibiting typical development trajectories. Our investigation entailed assessing differences in GWC and cortical thickness. Additionally, we explored the potential correlation between GWC and the severity of ADHD. To delineate the cerebral landscape, each hemisphere was subdivided into 34 cortical regions using freesurfer 7.2.0. For quantification, GWC was computed by evaluating the intensity contrast of non-normalized T1 images above and below the gray-white matter interface. Our findings unveiled elevated GWC within the bilateral lingual, bilateral insular, left transverse temporal, right parahippocampal and right pericalcarine regions in male children with ADHD when contrasted with their healthy counterparts. Moreover, the cortical thickness in the ADHD group no notable distinctions that of control group in all areas. Intriguingly, the GWC of left transverse temporal demonstrated a negative correlation with the extent of inattention experienced by male children with ADHD. Utilizing GWC as a metric facilitates a more comprehensive assessment of microstructural brain changes in children with ADHD. The fluctuations in GWC observed in specific brain regions might serve as a neural biomarker, illuminating structural modifications in male children grappling with ADHD. This perspective enriches our comprehension of white matter microstructure and cortical density in these children. Notably, the inverse correlation between the GWC of the left transverse temporal and inattention severity underscores the potential role of structural and functional anomalies within this region in ADHD progression. Enhancing our insight into ADHD-related brain changes holds significant promise in deciphering potential neuropathological mechanisms.

Trastorno por déficit de atención e hiperactividad: perfil neuropsicológico y estudio de su impacto en las funciones ejecutivas y académicas

IntroductionThe aim of the study was to describe the neuropsychological profile of patients with attention deficit hyperactivity disorder (ADHD) and the impact of the disorder on executive functioning and academic performance. Patients and methodsWe conducted a retrospective observational and analytical study. The sample consisted of 24 children with a diagnosis of ADHD (aged 6-15 years) without pharmacological treatment and 24 controls without ADHD (aged 7-15 years). A comprehensive neuropsychological evaluation was carried out, encompassing major cognitive domains, in addition to assessment of executive functioning and psychopathological symptoms through the administration of questionnaires to parents and teachers. ResultsThe cognitive profile of the ADHD group was characterized by overall scores (including executive functions and academic abilities) in the normal range (z scores between −1 and 1), although significantly lower compared to the control group. Over half of the patients with ADHD (58%) had associated specific learning disorders. Furthermore, teachers tended to report executive function difficulties more frequently in male students. ConclusionsIn the study sample, the group of patients with ADHD exhibited cognitive performance within the normal range, although with lower scores compared to controls. Behavioural rating scales provide valuable information about functioning outside the clinic, but may yield biased results on account of the focus on externalising symptoms. The neuropsychological evaluation is a useful tool that can facilitate the diagnosis of ADHD and an effective response to the needs and characteristics of patients and families.

Risky driving behavior among individuals with Autism, ADHD, and typically developing persons

IntroductionMany individuals with Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) often experience difficulty with driving, including difficulty with obtaining a driver’s license as well as driving safely and efficiently. Such difficulties negatively impact their ability to function independently and participate in daily activities that require driving. ASD and ADHD commonly occur co-morbidly and share many overlapping clinical features. Few studies have directly compared the nature of difficulties in driving safety outcomes between ASD and ADHD. The overarching goal of the current study was to characterize and compare self-reported driving behavior among young autistic drivers, ADHD drivers, and typically developing (TD) drivers. MethodFifty-four participants (14 ASD, 20 ADHD, 20 TD); ages 16–30) completed the Autism Spectrum Quotient and ADHD Adult Rating scale as a method of screening of symptoms. All three groups then completed the Driving Behavior Questionnaire (DBQ), which measured self-reported driving violations, driving errors, and overall risky driving behavior. The three groups of ASD, ADHD, and TD individuals were then compared regarding symptomology and driving behavior differences. ResultsOne-way ANOVAs indicated group differences in DBQ total scores and DBQ errors. Drivers with ADHD reported significantly greater overall risky driving behaviors and driving errors compared to ASD and TD drivers. There were no significant differences between ASD and TD drivers in reported risky driving behaviors and errors. Linear regressions indicated that among all drivers, self-reported ADHD symptoms were significantly associated with higher levels of self-reported overall risky driving and driving errors, regardless of diagnostic group. DiscussionRisky driving and driving errors may be more closely related to symptoms that are characteristic of ADHD. This has implications for individuals with ADHD and autistic individuals who often show or report higher rates of ADHD symptoms. Future studies should compare driving skills of ASD and ADHD drivers using objective measures of driving performance, such as driving simulators or on-road tests.

Simulator Driving Abilities, Executive Functions, and Adaptive Behavior Among Adolescents With Complex Attention Deficit Hyperactivity Disorder

Objective: To examines the driving skills, executive functions, and adaptive behavior of adolescents diagnosed with Attention-deficit/hyperactivity disorder (ADHD) combined with emotional difficulties and/or learning disabilities (complex ADHD), compared to adolescents without ADHD. Method: A cross-sectional study including 30 adolescents with complex ADHD and 33 adolescents without ADHD aged 15 to 18 years. Driving skills on a simulator, executive functions, and adaptive behavior were evaluated. Results: Adolescents without ADHD demonstrated significantly higher total scores on the driving simulator, indicating better driving performance compared to adolescents with complex ADHD. In the complex ADHD group, after controlling for different Conners Comprehensive Behavior Rating Scale-Self Report scales, driving simulator scores were partially correlated with executive functions. Conclusion: These findings emphasize the unique needs of adolescents with complex ADHD. Given the significance of driving in today’s society, it is crucial to consider the development of intervention programs to support this population’s driving skills.

The Relationship between Gene SLC6A3 Variable Number of Tandem Repeat (VNTR) and Attention-Deficit/Hyperactivity Disorder.

Objective : This research investigates the alleles of Variable Number of Tandem Repeats (VNTR) intron 8 of the gene SLC6A3 with attention-deficit / hyperactivity disorder (ADHD) in children and adolescents. Method : The study's target population consisted of children and adolescents referred to the specialized clinic, as well as students attending school in Rasht city during 2021-2022. A sample of 95 children between the ages of 6 and 10 with ADHD was selected as the ADHD group, and 95 healthy children were selected as the control group using purposive sampling. The subjects completed the Child Symptom Inventory-4 (CSI-4) checklist after a clinical interview, and demographic information was collected. Genetic sampling was carried out through hair follicles. The sequence of interest was proliferated using the Polymerase Chain Reaction technique )PCR(; afterward, the samples were used for genotype identification on polyacrylamide gel electrophoresis. Results: The chi-square test results indicated that the 5R / 5R genotype (P = 0.026, χ2 = 7.26) and the 5R allele (P = 0.002, χ2 = 9.35) had a higher frequency compared to the control group. Additionally, the odds ratio test indicated that, compared to other genotypes and alleles, the 5R / 5R genotype (OR = 2.75, 95% CI = 1.29-5.82, P = 0.01) and the 5R allele (OR = 2.02, 95% CI = 1.28-3.19, P = 0.002) increase the odds of developing ADHD by 2.7 and 2 times higher, respectively. Conclusion: The present study successfully showed the association between intron 8 gene polymorphism, which is responsible for encoding the dopamine transporter as well as ADHD in children and adolescents in Iran.

The ability to maintain rhythm is predictive of ADHD diagnosis and profile

Attention deficit hyperactivity disorder (ADHD) is the most prevalent neuropsychiatric disorder in the world. Currently, the diagnosis is based mainly on interviews, resulting in uncertainties in the clinical assessment. While some neuropsychological tests are used, their specificity and selectivity are low, and more reliable biomarkers are desirable. Previous research indicates that ADHD is associated with morphological changes in the cerebellum, which is essential for motor ability and timing. Here, we compared 29 children diagnosed with ADHD to 96 age-matched controls on prism adaptation, eyeblink conditioning, and timed motor performance in a finger tapping task. Prism adaptation and timing precision in the finger tapping task, but not performance on eyeblink conditioning, differed between the ADHD and control groups, as well as between children with and without Deficits in Attention, Motor control, and Perception (DAMP) – a more severe form of ADHD. The results suggest finger tapping can be used as a cheap, objective, and unbiased biomarker to complement current diagnostic procedures.

Gaze measurements during viewing human dialogue scenes in adults with ADHD: Preliminary findings.

Eye gaze measurement to human dialogue scenes in adults with attention deficit hyperactivity disorder (ADHD) was investigated. We examined whether eye gaze measurement might be a biological marker of ADHD. Twenty-two individuals with ADHD (mean age, 34.5 years) attending the outpatient clinic of Showa University Karasuyama Hospital were included in the study, and 26 healthy individuals (mean age, 32.6 years) with no history of mental disorders were used as the control group. For the participants, intellectual functioning was estimated using the Japanese Adult Reading Test, and mental symptoms were assessed using the Autism Spectrum Quotient and Conner's Adult ADHD Rating Scale. We extracted human dialogue scenes from two classic movies as visual stimuli and recorded the participant's gaze while watching these scenes using Tobii's eye tracker. For gazing time, repeated measures analysis of variance showed no significant main effect of "group" and no significant interaction effect between "group" and areas of interest "(AOI)." In the normal group, gazing time at the eyes was significantly longer than those at the mouth, body, and background; in the ADHD group, gazing time at the eyes was significantly longer than only that at the background. Given the different results obtained in the past in ASD, these results suggest that it would be necessary to directly compare the two groups to determine whether the gaze measurement shows significant differences in ASD and ADHD.

Are decreased cocaine- and amphetamine regulated transcript and Agouti- related peptide levels associated Eating behavior in medication-free children with attention deficit and hyperactivity disorder?

This study aimed to investigate plasma levels of cocaine- and amphetamine-regulated transcript (CART), agouti-related protein (AgRP), cholecystokinin (CCK) and peptide YY (PYY) and their relationship with eating behaviors among children with attention deficit hyperactivity disorder (ADHD) and healthy controls. A total of 94 medication-free children with ADHD and 82 controls aged 8–14 years were included in this study. The Plasma levels of CART, AgRP, CCK and PYY were measured using enzyme-linked immunosorbent assay kits. The Children's Eating Behavior Questionnaire (CEBQ) was used to assess eating behaviors in children. CART and AgRP levels were found to be significantly lower in the ADHD group than in the control group, while CCK levels were found to be significantly higher in the ADHD group than in the control group. However, there was no significant difference in PYY levels between the groups. Compared to controls, those with ADHD demonstrated significantly higher scores on the CEBQ subscales of food responsiveness, emotional overeating, desire to drink, enjoyment of food, and food fussiness, and significantly lower scores on the slowness of eating subscale. CART was significantly correlated with emotional overeating and enjoyment of food scores, while AgRP was significantly correlated with emotional undereating scores. Covariance analysis was performed by controlling potential confounders such as body mass index, age and sex, and the results were found to be unchanged. It was concluded that CART, AgRP, and CCK may play a potential role in the pathogenesis of ADHD.