scholarly journals Impulsivity in Cocaine-Dependent Individuals with and without Attention-Deficit/Hyperactivity Disorder

2015 ◽  
Vol 21 (3) ◽  
pp. 131-143 ◽  
Author(s):  
Laura Stevens ◽  
Herbert Roeyers ◽  
Geert Dom ◽  
Leen Joos ◽  
Wouter Vanderplasschen
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Future Orientation ◽  
Stop Signal Task ◽  
Healthy Controls ◽  
Adhd Diagnosis ◽  
Hyperactivity Disorder ◽  
Trait Impulsivity ◽  
Information Sampling ◽  
The Impact

Background: Cocaine-dependent individuals (CDI) display increased impulsivity. However, despite its multifactorial nature most studies in CDI have treated impulsivity monolithically. Moreover, the impact of attention-deficit/hyperactivity disorder (ADHD) has often not been taken into account. This study investigates whether CDI with ADHD (CDI+ADHD) differ from CDI without an ADHD diagnosis and healthy controls (HC) on several impulsivity measures. Methods: Thirty-four CDI, 25 CDI+ADHD and 28 HC participated in this study. Trait impulsivity was assessed with the motor, attentional and non-planning subscales of the Barratt Impulsiveness Scale (BIS-11). Neurocognitive dimensions of impulsivity were examined with the stop signal task (SST), delay discounting task (DDT) and information sampling task (IST). Results: Relative to HC, both CDI and CDI+ADHD scored higher on all BIS-11 subscales, required more time to inhibit their responses (SST) and sampled less information before making a decision (IST). Greater discounting of delayed rewards (DDT) was only found among CDI+ADHD. Compared to CDI without ADHD, CDI+ADHD scored higher on the BIS-11 non-planning and total scale and showed higher discounting rates. Conclusion: CDI score higher on several indices of impulsivity relative to HC, regardless of whether they have concomitant ADHD or not. CDI+ADHD are specifically characterized by a lack of future orientation compared to CDI without ADHD.

The Impact of Copper in Children with Attention Deficit Hyperactivity Disorder

2017 ◽  
Vol 68 (2) ◽  
pp. 279-283
Author(s):  
Mihail Silviu Tudosie ◽  
Elena Truta ◽  
Ana Maria Davitoiu ◽  
Luminita Stanciulescu ◽  
George Jinescu ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Copper Concentration ◽  
Graphite Furnace ◽  
Urine Samples ◽  
Health State ◽  
Adhd Symptoms ◽  
Children With Adhd ◽  
Hyperactivity Disorder ◽  
The Impact

During one year (september 2013 � september 2014), 50 children from the residential institution for children SOS Satele Copiilor Bucharest, where included in our research. The children were distributed in two groups: Group A which consisted of 25 children (12 girls, 13 boys) who were not diagnosed with attention deficit hyperactivity disorder (ADHD) and Group B which consisted of 25 children (14 boys, 11 girls) who were diagnosed with ADHD. Initially, the two groups were subjected at a psycho-diagnostic battery of tests, one of them being the Evaluating the Health State of children with ADHD questionnaire elaborated by us, particularly for this research, with the purpose of highlighting the direct link between the children health state and their ADHD symptoms. This study sought to determine the concentration of copper in urine samples from a group of children with ADHD and a group of normal children, to highlight the role of copper in the development of ADHD symptoms. Levels of copper concentration in urine samples from the two groups were processed by Student�s t-Test. Statistical analysis showed that the arithmetic averages of copper concentration in urine samples, of the two groups do not differ significantly, so copper may be causing ADHD symptoms occur. The copper content in urine samples has been determined using atomic absorption spectrometry with graphite furnace.

scholarly journals Genetic variations influence brain changes in patients with attention-deficit hyperactivity disorder

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Santosh K. Yadav ◽  
Ajaz A. Bhat ◽  
Sheema Hashem ◽  
Sabah Nisar ◽  
Madeeha Kamal ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Brain Imaging ◽  
Attention Deficit ◽  
Genetic Variations ◽  
Imaging Genetics ◽  
Treatment Modalities ◽  
Genetic Studies ◽  
Hyperactivity Disorder ◽  
Clinical Biomarkers ◽  
The Impact

AbstractAttention-deficit hyperactivity disorder (ADHD) is a neurological and neurodevelopmental childhood-onset disorder characterized by a persistent pattern of inattentiveness, impulsiveness, restlessness, and hyperactivity. These symptoms may continue in 55–66% of cases from childhood into adulthood. Even though the precise etiology of ADHD is not fully understood, it is considered as a multifactorial and heterogeneous disorder with several contributing factors such as heritability, auxiliary to neurodevelopmental issues, severe brain injuries, neuroinflammation, consanguineous marriages, premature birth, and exposure to environmental toxins. Neuroimaging and neurodevelopmental assessments may help to explore the possible role of genetic variations on ADHD neuropsychobiology. Multiple genetic studies have observed a strong genetic association with various aspects of neuropsychobiological functions, including neural abnormalities and delayed neurodevelopment in ADHD. The advancement in neuroimaging and molecular genomics offers the opportunity to analyze the impact of genetic variations alongside its dysregulated pathways on structural and functional derived brain imaging phenotypes in various neurological and psychiatric disorders, including ADHD. Recently, neuroimaging genomic studies observed a significant association of brain imaging phenotypes with genetic susceptibility in ADHD. Integrating the neuroimaging-derived phenotypes with genomics deciphers various neurobiological pathways that can be leveraged for the development of novel clinical biomarkers, new treatment modalities as well as therapeutic interventions for ADHD patients. In this review, we discuss the neurobiology of ADHD with particular emphasis on structural and functional changes in the ADHD brain and their interactions with complex genomic variations utilizing imaging genetics methodologies. We also highlight the genetic variants supposedly allied with the development of ADHD and how these, in turn, may affect the brain circuit function and related behaviors. In addition to reviewing imaging genetic studies, we also examine the need for complementary approaches at various levels of biological complexity and emphasize the importance of combining and integrating results to explore biological pathways involved in ADHD disorder. These approaches include animal models, computational biology, bioinformatics analyses, and multimodal imaging genetics studies.

Dimensions of Impulsivity in Healthy People, Patients with Borderline Personality Disorder, and Patients with Attention-Deficit/Hyperactivity Disorder

2019 ◽  
Vol 25 (4) ◽  
pp. 584-595 ◽  
Author(s):  
Pavla Linhartová ◽  
Jan Širůček ◽  
Anastasia Ejova ◽  
Richard Barteček ◽  
Pavel Theiner ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Borderline Personality Disorder ◽  
Personality Disorder ◽  
Attention Deficit ◽  
Latent Variables ◽  
Borderline Personality ◽  
Healthy People ◽  
Stop Signal Task ◽  
Impulsive Behavior ◽  
Hyperactivity Disorder

Objective: Impulsivity, observed in patients with various psychiatric disorders, is a heterogeneous construct with different behavioral manifestations. Through confirmatory factor analysis (CFA), this study tests hypotheses about relationships between dimensions of impulsivity measured using personality questionnaires and behavioral tests. Method: The study included 200 healthy people, 40 patients with borderline personality disorder, and 26 patients with attention-deficit/hyperactivity disorder (ADHD) who underwent a comprehensive impulsivity test battery including the Barratt Impulsiveness Scale (BIS), UPPS-P Impulsive Behavior Scale, a Go-NoGo task, a stop-signal task, and a delay discounting task. Results: A CFA model comprising three self-reported and three behavioral latent variables reached a good fit. Both patient groups scored higher in the self-reported dimensions and impulsive choice; only the ADHD patients displayed impaired waiting and stopping impulsivity. Conclusions: Using the developed CFA model, it is possible to describe relations between impulsivity dimensions and show different impulsivity patterns in patient populations.

scholarly journals Clinical and social factors associated with attention-deficit hyperactivity disorder medication use: population-based longitudinal study

2014 ◽  
Vol 205 (4) ◽  
pp. 291-297 ◽  
Author(s):  
Cédric Galéra ◽  
Jean-Baptiste Pingault ◽  
Grégory Michel ◽  
Manuel-Pierre Bouvard ◽  
Maria Melchior ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Attention Deficit ◽  
Psychiatric Comorbidity ◽  
Medication Use ◽  
Population Based ◽  
Social Characteristics ◽  
Adhd Medication ◽  
Social Variables ◽  
Hyperactivity Disorder ◽  
The Impact

BackgroundThe impact of longitudinal psychiatric comorbidity, parenting and social characteristics on attention-deficit hyperactivity disorder (ADHD) medication use is still poorly understood.AimsTo assess the baseline and longitudinal influences of behavioural and environmental factors on ADHD medication use.MethodSurvival regressions with time-dependent covariates were used to model data from a population-based longitudinal birth cohort. The sample (n = 1920) was assessed from age 5 months to 10 years. Measures of children's psychiatric symptoms, parenting practices and social characteristics available at baseline and during follow-up were used to identify individual and family-level features associated with subsequent use of ADHD medication.ResultsUse of ADHD medication ranged from 0.2 to 8.6% between ages 3.5 to 10 years. Hyperactivity–inattention was the strongest predictor of medication use (hazard ratio (HR) = 2.75, 95% CI 2.35–3.22). Among all social variables examined, low maternal education increased the likelihood of medication use (HR = 2.09, 95% CI 1.38–3.18) whereas immigrant status lowered this likelihood (HR = 0.40, 95% CI 0.17–0.92).ConclusionsBeyond ADHD symptoms, the likelihood of receiving ADHD medication is predicted by social variables and not by psychiatric comorbidity or by parenting. This emphasises the need to improve global interventions by offering the same therapeutic opportunities (including medication) as those received by the rest of the population to some subgroups (i.e. immigrants) and by diminishing possible unnecessary prescriptions.

Neural correlates of visuospatial working memory in attention-deficit/hyperactivity disorder and healthy controls

2015 ◽  
Vol 233 (2) ◽  
pp. 233-242 ◽  
Author(s):  
Hanneke van Ewijk ◽  
Wouter D. Weeda ◽  
Dirk J. Heslenfeld ◽  
Marjolein Luman ◽  
Catharina A. Hartman ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Working Memory ◽  
Attention Deficit ◽  
Neural Correlates ◽  
Healthy Controls ◽  
Visuospatial Working Memory ◽  
Hyperactivity Disorder
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