Mai Uchida

Autistic Traits in Children With and Without ADHD

OBJECTIVE: To assess the implications of autistic traits (ATs) in youth with attention-deficit/hyperactivity disorder (ADHD) without a diagnosis of autism. METHODS: Participants were youth with (n = 242) and without (n = 227) ADHD and controls without ADHD in whom a diagnosis of autism was exclusionary. Assessment included measures of psychiatric, psychosocial, educational, and cognitive functioning. ATs were operationalized by using the withdrawn + social + thought problems T scores from the Child Behavior Checklist. RESULTS: A positive AT profile was significantly overrepresented among ADHD children versus controls (18% vs 0.87%; P < .001). ADHD children with the AT profile were significantly more impaired than control subjects in psychopathology, interpersonal, school, family, and cognitive domains. CONCLUSIONS: A substantial minority of ADHD children manifests ATs, and those exhibiting ATs have greater severity of illness and dysfunction.

Mild traumatic brain injury and ADHD: a systematic review of the literature and meta-analysis.

Objective: This study investigated the association between mild traumatic brain injury (mTBI) and ADHD, which increases risk of injuries and accidents. Method: We conducted a systematic review and meta-analysis of studies that examined the relationship between mTBI and ADHD. Results: Five studies, comprising 3,023 mTBI patients and 9,716 controls, fit our a priori inclusion and exclusion criteria. A meta-analysis found a significant association between ADHD and mTBI, which was significant when limited to studies that reported on ADHD subsequent to mTBI and when the direction of the association was not specified, but not for studies that reported mTBI subsequent to ADHD. Heterogeneity of effect size and publication biases were not evident. Conclusion: The literature documents a significant association between mTBI and ADHD. Further clarification of the relationship and direction of effect between mTBI and ADHD and treatment implications could have large clinical, scientific, and public health implications.

Adult Outcome of ADHD: An Overview of Results From the MGH Longitudinal Family Studies of Pediatrically and Psychiatrically Referred Youth With and Without ADHD of Both Sexes.

Objective: We aimed to provide an overview of the Massachusetts General Hospital (MGH) Longitudinal Studies of ADHD. Methods: We evaluated and followed samples of boys and girls with and without ADHD ascertained from psychiatric and pediatric sources and their families. Results: These studies documented that ADHD in both sexes is associated with high levels of persistence into adulthood, high levels of familiality with ADHD and other psychiatric disorders, a wide range of comorbid psychiatric and cognitive disorders including mood, anxiety, and substance use disorders, learning disabilities, executive function deficits, emotional dysregulation, and autistic traits as well as functional impairments. The MGH studies suggested that stimulant treatment decreased risks of developing comorbid psychiatric disorders, substance use disorders, and functional outcomes. The MGH studies documented the neural basis of persistence of ADHD using neuroimaging. Conclusion: The MGH studies provided various insights on symptoms, course, functions, comorbidities, and neuroscience of ADHD.

Mild Traumatic Brain Injury and Attention-Deficit Hyperactivity Disorder in Young Student Athletes.

Abstract A recent meta-analysis documented a significant statistical association between mild traumatic brain injury (mTBI) and attention deficit hyperactivity disorder (ADHD) (Adeyemo et al., 2014), but the direction of this effect was unclear. In this study, we hypothesized that ADHD would be an antecedent risk factor for mTBI. Participants were student athletes ages 12 to 25 who had sustained a mTBI and Controls of similar age and sex selected from studies of youth with and without ADHD. Subjects were assessed for symptoms of ADHD, concussion severity, and cognitive function. mTBI subjects had a significantly higher rate of ADHD than Controls, and in all cases the age of onset of ADHD was before mTBI onset. mTBI+ADHD subjects also had more severe concussion symptoms (fatigue and poor concentration) than mTBI-ADHD subjects. These results support ADHD as an antecedent risk factor for mTBI in student athletes and that its presence complicates the course of mTBI.

Re-examining the risk for switch from unipolar to bipolar major depressive disorder in youth with ADHD: A long term prospective longitudinal controlled study

BACKGROUND Recent studies have identified subthreshold forms of bipolar (BP)-I disorder and deficits in emotional regulation as risk factors for bipolar disorder in youth. The primary aim of this study was to investigate whether emotional dysregulation and subthreshold forms of BP-I disorder increase the risk for BP switches in ADHD youth with non-bipolar MDD. METHODS We used data from two large controlled longitudinal family studies of boys and girls with and without ADHD. Subjects (N=522) were followed prospectively and blindly over an average follow up period of 11.4 years. Comparisons were made between ADHD youth with unipolar major depression (MDD) who did (N=24) and did not (N=79) switch to BP-I disorder at follow-up. RESULTS The rate of conversion to BP-I disorder at follow up was higher in MDD subjects with subthreshold BP-I disorder at baseline compared to those without (57% vs. 21%; OR=9.57, 95% CI=1.62-56.56, p=0.013) and in MDD subjects with deficient emotional self-regulation (OR=3.54, 95% CI=1.08-11.60, p=0.037). LIMITATIONS The sample was largely Caucasian, so these results may not generalize to minority groups. The sample of youth with SED was small, which limited the statistical power for some analyses. CONCLUSIONS Switches from unipolar MDD to BP-I disorder in children with ADHD and MDD were predicted by baseline subthreshold BP-I disorder symptoms and baseline deficits in emotional regulation. More work is needed to assess whether these risk factors are operant outside the context of ADHD.

Further evidence that severe scores in the aggression/anxiety-depression/attention subscales of child behavior checklist (severe dysregulation profile) can screen for bipolar disorder symptomatology: a conditional probability analysis

BACKGROUND Previous work shows that children with high scores (2SD, combined score≥210) on the Attention Problems, Aggressive Behavior, and Anxious-Depressed (A-A-A) subscales of the Child Behavior Checklist (CBCL) are more likely than other children to meet criteria for bipolar (BP)-I disorder. However, the utility of this profile as a screening tool has remained unclear. METHODS We compared 140 patients with pediatric BP-I disorder, 83 with attention deficit hyperactivity disorder (ADHD), and 114 control subjects. We defined the CBCL-Severe Dysregulation profile as an aggregate cutoff score of ≥210 on the A-A-A scales. Patients were assessed with structured diagnostic interviews and functional measures. RESULTS Patients with BP-I disorder were significantly more likely than both control subjects (Odds Ratio [OR]: 173.2; 95% Confidence Interval [CI], 21.2 to 1413.8; P<0.001) and those with ADHD (OR: 14.6; 95% CI, 6.2 to 34.3; P<0.001) to have a positive CBCL-Severe Dysregulation profile. Receiver Operating Characteristics analyses showed that the area under the curve for this profile comparing children with BP-I disorder against control subjects and those with ADHD was 99% and 85%, respectively. The corresponding positive predictive values for this profile were 99% and 92% with false positive rates of <0.2% and 8% for the comparisons with control subjects and patients with ADHD, respectively. LIMITATIONS Non-clinician raters administered structured diagnostic interviews, and the sample was referred and largely Caucasian. CONCLUSIONS The CBCL-Severe Dysregulation profile can be useful as a screen for BP-I disorder in children in clinical practice.

Examining the association between posttraumatic stress disorder and attention-deficit/hyperactivity disorder: a systematic review and meta-analysis.

OBJECTIVE To conduct a systematic review and meta-analysis examining the relationship between attention-deficit/hyperactivity disorder (ADHD) and posttraumatic stress disorder (PTSD). DATA SOURCES We reviewed literature through PubMed and PsycINFO without a specified date range, utilizing the search (posttraumatic stress disorder OR PTSD) AND (ADHD OR attention deficit hyperactivity disorder OR ADD OR attention deficit disorder OR hyperkinetic syndrome OR minimal brain dysfunction). References from relevant articles were reviewed. STUDY SELECTION We identified 402 articles; 28 met criteria. We included original human research in English that operationalized diagnoses of ADHD and PTSD, evaluated the relationship between the disorders, and included controls. We excluded articles that failed to differentiate ADHD or PTSD from nonspecific or subsyndromal deficits or failed to compare their relationship. DATA EXTRACTION We extracted sample size, age, diagnostic methods, design, referral status, control type, and number of subjects with and without ADHD and PTSD alone and combined. We computed meta-analyses for 22 studies examining ADHD in PTSD and PTSD in ADHD using a random effects model and meta-analytic regression. We assessed for heterogeneity and publication bias and adjusted for intrastudy clustering. RESULTS The relative risk (RR) for PTSD in ADHD was 2.9 (P < .0005); in samples using healthy controls, the RR was 3.7 (P = .001); and in samples using traumatized controls, the RR was 1.6 (P = .003). The RR for ADHD in PTSD was 1.7 (P < .0005); in samples using traumatized controls, the RR was 2.1 (P < .0005). The association was not significant in samples using psychiatric controls. CONCLUSIONS Results indicate a bidirectional association between ADHD and PTSD, suggesting clinical implications and highlighting the need for neurobiological research that examines the mechanisms underlying this connection.

Altered Intrinsic Functional Brain Architecture in Children at Familial Risk of Major Depression

BACKGROUND Neuroimaging studies of patients with major depression have revealed abnormal intrinsic functional connectivity measured during the resting state in multiple distributed networks. However, it is unclear whether these findings reflect the state of major depression or reflect trait neurobiological underpinnings of risk for major depression. METHODS We compared resting-state functional connectivity, measured with functional magnetic resonance imaging, between unaffected children of parents who had documented histories of major depression (at-risk, n = 27; 8-14 years of age) and age-matched children of parents with no lifetime history of depression (control subjects, n = 16). RESULTS At-risk children exhibited hyperconnectivity between the default mode network and subgenual anterior cingulate cortex/orbital frontal cortex, and the magnitude of connectivity positively correlated with individual symptom scores. At-risk children also exhibited 1) hypoconnectivity within the cognitive control network, which also lacked the typical anticorrelation with the default mode network; 2) hypoconnectivity between left dorsolateral prefrontal cortex and subgenual anterior cingulate cortex; and 3) hyperconnectivity between the right amygdala and right inferior frontal gyrus, a key region for top-down modulation of emotion. Classification between at-risk children and control subjects based on resting-state connectivity yielded high accuracy with high sensitivity and specificity that was superior to clinical rating scales. CONCLUSIONS Children at familial risk for depression exhibited atypical functional connectivity in the default mode, cognitive control, and affective networks. Such task-independent functional brain measures of risk for depression in children could be used to promote early intervention to reduce the likelihood of developing depression.

Functional and structural brain correlates of risk for major depression in children with familial depression

Despite growing evidence for atypical amygdala function and structure in major depression, it remains uncertain as to whether these brain differences reflect the clinical state of depression or neurobiological traits that predispose individuals to major depression. We examined function and structure of the amygdala and associated areas in a group of unaffected children of depressed parents (at-risk group) and a group of children of parents without a history of major depression (control group). Compared to the control group, the at-risk group showed increased activation to fearful relative to neutral facial expressions in the amygdala and multiple cortical regions, and decreased activation to happy relative to neutral facial expressions in the anterior cingulate cortex and supramarginal gyrus. At-risk children also exhibited reduced amygdala volume. The extensive hyperactivation to negative facial expressions and hypoactivation to positive facial expressions in at-risk children are consistent with behavioral evidence that risk for major depression involves a bias to attend to negative information. These functional and structural brain differences between at-risk children and controls suggest that there are trait neurobiological underpinnings of risk for major depression.

Can unipolar and bipolar pediatric major depression be differentiated from each other? A systematic review of cross-sectional studies examining differences in unipolar and bipolar depression

INTRODUCTION While pediatric mania and depression can be distinguished from each other, differentiating between unipolar major depressive disorder (unipolar MDD) and bipolar major depression (bipolar MDD) poses unique clinical and therapeutic challenges. Our aim was to examine the current body of knowledge on whether unipolar MDD and bipolar MDD in youth could be distinguished from one another in terms of clinical features and correlates. METHODS A systematic literature search was conducted on studies assessing the clinical characteristics and correlates of unipolar MDD and bipolar MDD in youth. RESULTS Four scientific papers that met our priori inclusion and exclusion criteria were identified. These papers reported that bipolar MDD is distinct from unipolar MDD in its higher levels of depression severity, associated impairment, psychiatric co-morbidity with oppositional defiant disorder, conduct disorder and anxiety disorders, and family history of mood and disruptive behavior disorders in first-degree relatives. LIMITATIONS Though we examined a sizeable and diverse sample, we were only able to identify four cross sectional informative studies in our review. Therefore, our conclusions should be viewed as preliminary. CONCLUSIONS These findings can aid clinicians in differentiating the two forms of MDD in youth.