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Attention deficit hyperactivity disorder characteristics: II. Clinical correlates of irritable mood.

ABSTRACT: This study describes the relationship of irritable mood (IRR) with affective disorders in youths with attention deficit hyperactivity disorder (ADHD).Five hundred ADHD subjects were assessed with the childhood version of the Schedule for Affective Disorder & Schizophrenia. Subjects were in a genetic ADHD protocol and limited to those of Caucasian/European descent.The most prevalent concurrent diagnoses were oppositional defiant disorder (ODD) (43.6%), minor depression/dysthymic disorder (MDDD) (18.8%), and generalized anxiety (13.2%)/overanxious disorder (12.4%). IRR subjects (21.0%) compared to the non-IRR (NIRR) group had higher rates of all affective disorders (76.2% vs. 9.6%) and ODD (83.8% vs. 32.9%) but lower rates of hyperactive ADHD (1.9% vs. 8.9%). Among those without comorbidities, 98.3% were NIRR. Logistic regression found IRR mood significantly associated with major depressive disorder (odds ratio [OR]: 33.4), MDDD (OR: 11.2), ODD (OR: 11.6), and combined ADHD (OR: 1.7) but not with anxiety disorders. Among symptoms, it associated IRR mood with a pattern of dysthymic and ODD symptoms but with fewer separation anxiety symptoms. Diagnostic and symptomatic parameters were unaffected by demographic variables.Potential confounders influencing these results include patient recruitment from only one clinical service; a cohort specific sample effect because some presumed affective disorders and non-Caucasians were excluded; and the young mean age (10.2 years) limiting comorbid patterns.The prominence of an MDDD pattern suggests this IRR group is appropriate in the DSM V's proposed chronic depressive disorder, possibly with or without temper dysregulation. A new diagnosis of disruptive mood dysregulation disorder may be unwarranted.

SUBMITTER: Ambrosini PJ

PROVIDER: S-EPMC3496809 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature

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Attention deficit hyperactivity disorder characteristics: II. Clinical correlates of irritable mood.

Ambrosini Paul J PJ Bennett David S DS Elia Josephine J

Journal of affective disorders 20120804 1

<h4>Background</h4>This study describes the relationship of irritable mood (IRR) with affective disorders in youths with attention deficit hyperactivity disorder (ADHD).<h4>Methods</h4>Five hundred ADHD subjects were assessed with the childhood version of the Schedule for Affective Disorder & Schizophrenia. Subjects were in a genetic ADHD protocol and limited to those of Caucasian/European descent.<h4>Results</h4>The most prevalent concurrent diagnoses were oppositional defiant disorder (ODD) (4 ...[more]

PMID: 22868057

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Project description:OBJECTIVE:Disruptive mood dysregulation disorder (DMDD), characterized by severe irritability, and attention-deficit/hyperactivity disorder (ADHD) are highly comorbid. This is the first study to characterize neural and behavioral similarities and differences in attentional functioning across these disorders. METHOD:Twenty-seven healthy volunteers, 31 patients with DMDD, and 25 patients with ADHD (8 to 18 years old) completed a functional magnetic resonance imaging attention task. Group differences in intra-subject variability in reaction time (RT) were examined. The present functional magnetic resonance imaging analytic approach precisely quantified trial-wise associations between RT and brain activity. RESULTS:Group differences manifested in the relation between RT and brain activity (all regions: p < .01, F > 2.54, partial eta-squared [?p2] > 0.06). Patients with DMDD showed specific alterations in the right paracentral lobule, superior parietal lobule, fusiform gyrus, and cerebellar culmen. In contrast, patients with DMDD and those with ADHD exhibited blunted compensatory increases in activity on long RT trials. In addition, youth with DMDD exhibited increased activity in the postcentral gyrus, medial frontal gyrus, and cerebellar tonsil and declive (all regions: p < .05, F > 2.46, ?p2 > 0.06). Groups in the imaging sample did not differ significantly in intra-subject variability in RT (F2,79 = 2.664, p = .076, ?p2 = 0.063), although intra-subject variability in RT was significantly increased in youth with DMDD and ADHD when including those not meeting strict motion and accuracy criteria for imaging analysis (F2,96 = 4.283, p = .017, ?p2 = 0.083). CONCLUSION:Patients with DMDD exhibited specific alterations in the relation between pre-stimulus brain activity and RT. Patients with DMDD and those with ADHD exhibited similar blunting of compensatory neural activity in frontal, parietal, and other regions. In addition, patients with DMDD showed increased RT variability compared with healthy youth. This work is the first to identify common and unique behavioral and neural signatures of DMDD and ADHD.

Project description:Objectives: To investigate child and parental characteristics of medication use for attention-deficit/hyperactivity disorder (ADHD). Methods: Participants were part of the prospective population-based Norwegian Mother, Father and Child Cohort study (MoBa) (n = 114,500 children, 95,000 mothers, and 75,000 fathers). This cohort was linked to the Norwegian Prescription Database (NorPD) and the Norwegian Patient Registry (NPR) to compare child and parental characteristics in children medicated and not medicated for ADHD during years 2008-2013. Results: One thousand seven hundred and sixty-four children (74% boys) with ADHD (International Classification of Diseases [ICD-10]: F90 and F98.8) were identified. One thousand three hundred and sixty-two (77%) used medication. Boys and girls did not differ in the use of ADHD medication (both 77%). Mean age at first prescription was 9 years in both boys and girls, and age at ADHD diagnosis was 8 years in medicated and unmedicated children. Significantly more hyperkinetic conduct disorders (F90.1), and significantly fewer with attention-deficit disorder (F98.8) were found among the medicated children compared to the unmedicated children. The medicated children also had a significantly lower global functioning (Child Global Assessment Scale). Child disruptive symptoms reported in the MoBa child age 3 year questionnaire were significantly higher in children who used medication compared to the nonusers (t = 2.2, p = 0.03), and group differences in ADHD symptoms at age 3 years were close to significant (t = 1.8, p = 0.07). Other preschool child and parental characteristics were not significantly different in the two groups. Conclusion: In this large birth cohort study, where a great majority of children with ADHD used medication, only child characteristics were significantly associated with the use of medication. We could not replicate previous findings suggesting that "environmental factors," such as parental education and psychopathology, drive medication use. The small differences between medicated and unmedicated children in this cohort study, where a majority used medication, might be due to strong established clinical practices where medication is offered as a treatment option, particularly for hyperkinetic conduct disorder in an egalitarian high-income society.

Project description:Symptoms of autism spectrum disorder and attention-deficit/hyperactivity disorder often co-occur. Among these, sensory impairment, which is a core diagnostic feature of autism spectrum disorder, is often observed in children with attention-deficit/hyperactivity disorder. However, the underlying mechanisms of symptoms that are shared across disorders remain unknown. To examine the neural correlates of sensory symptoms that are associated with autism spectrum disorder and attention-deficit/hyperactivity disorder, we analysed resting-state functional MRI data obtained from 113 people with either autism spectrum disorder or attention-deficit/hyperactivity disorder (n = 78 autism spectrum disorder, mean age = 29.5; n = 35 attention-deficit/hyperactivity disorder, mean age = 31.2) and 96 neurotypical controls (mean age = 30.6, range: 20-55 years) using a cross-sectional study design. First, we used a multi-dimensional approach to examine intrinsic brain functional connectivity related to sensory symptoms in four domains (i.e. low registration, sensation seeking, sensory sensitivity and sensation avoidance), after controlling for age, handedness and head motion. Then, we used a partial least squares correlation to examine the link between sensory symptoms related to intrinsic brain functional connectivity and neurodevelopmental symptoms measured using the Autism Spectrum Quotient and Conners' Adult Attention-Deficit/Hyperactivity Disorder Rating Scale, regardless of diagnosis. To test whether observed associations were specific to sensory symptoms related to intrinsic brain functional connectivity, we conducted a control analysis using a bootstrap framework. The results indicated that transdiagnostic yet distinct intrinsic brain functional connectivity neural bases varied according to the domain of the examined sensory symptom. Partial least squares correlation analysis revealed two latent components (latent component 1: q < 0.001 and latent component 2: q < 0.001). For latent component 1, a set of intrinsic brain functional connectivity was predominantly associated with neurodevelopmental symptom-related composite score (r = 0.64, P < 0.001), which was significantly correlated with Conners' Adult Attention-Deficit/Hyperactivity Disorder Rating Scale total T scores (r = -0.99, q < 0.001). For latent component 2, another set of intrinsic brain functional connectivity was positively associated with neurodevelopmental symptom-related composite score (r = 0.58, P < 0.001), which was eventually positively associated with Autism Spectrum Quotient total scores (r = 0.92, q < 0.001). The bootstrap analysis showed that the relationship between intrinsic brain functional connectivity and neurodevelopmental symptoms was relative to sensory symptom-related intrinsic brain functional connectivity (latent component 1: P = 0.003 and latent component 2: P < 0.001). The current results suggest that sensory symptoms in individuals with autism spectrum disorder and those with attention-deficit/hyperactivity disorder have shared neural correlates. The neural correlates of the sensory symptoms were associated with the severity of both autism spectrum disorder and attention-deficit/hyperactivity disorder symptoms, regardless of diagnosis.

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Attention deficit hyperactivity disorder characteristics: II. Clinical correlates of irritable mood.

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Attention deficit hyperactivity disorder characteristics: II. Clinical correlates of irritable mood.

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