Faculty Bibliography

BACKGROUND:The United States Preventive Services Task Force recommends that clinicians provide or refer pregnant and postpartum women who are at an increased risk of perinatal depression to counseling interventions. However, this prevention goal requires effective interventions that reach women at risk of, but before, the development of a depressive disorder. OBJECTIVE:We describe a pilot efficacy trial of a novel dyadic intervention to prevent common maternal mental health disorders, that is, Practical Resources for Effective Postpartum Parenting, in a sample of women at risk of maternal mental health disorders based on poverty status. We hypothesized that Practical Resources for Effective Postpartum Parenting compared with enhanced treatment as usual would reduce symptoms of maternal mental health disorders after birth. STUDY DESIGN/METHODS:A total of 60 pregnant women who were recruited from obstetrical practices at Columbia University Irving Medical Center were randomized to the Practical Resources for Effective Postpartum Parenting (n=30) or enhanced treatment as usual (n=30) intervention. The Edinburgh Postnatal Depression Scale, Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale, and Patient Health Questionnaire were used to compare maternal mood at 6 weeks, 10 weeks, and 16 weeks after delivery. RESULTS:At 6 weeks after delivery, women randomized to Practical Resources for Effective Postpartum Parenting had lower mean Edinburgh Postnatal Depression scores (P=.018), lower mean Hamilton Depression scores (P<.001), and lower mean Hamilton Anxiety scores (P=.041); however, the incidence of postpartum mental disorders did not differ by treatment group. CONCLUSION/CONCLUSIONS:The Practical Resources for Effective Postpartum Parenting, which is an intervention integrated within obstetrical care, improves subclinical symptomology for at-risk dyads at a crucial time in the early postpartum period; however, our study did not detect reductions in the incidence of postpartum mental disorders.

The aim of this study is to examine the familial aggregation of Attention-deficit/hyperactivity disorder (ADHD) and its cross-transmission with bipolar disorder (BD) in a community-based family study of mood spectrum disorders. A clinically-enriched community sample of 562 probands recruited from the greater Washington, DC metropolitan area and their 698 directly interviewed relatives were included in analyses. Inclusion criteria were English speaking and consent to contact at least two first-degree relatives. Standard family study methodology was used and DSM-IV classified mental disorders were ascertained through a best-estimate procedure based on direct semi-structured interviews and multiple family history reports. There was specificity of familial aggregation of both bipolar I disorder (BD I) and bipolar II disorder (BD II) (i.e., BD I OR = 6.08 [1.66, 22.3]; BD II OR = 2.98 [1.11, 7.96]) and ADHD (ADHD OR = 2.13 [1.16, 3.95]). However, there was no evidence for cross-transmission of BD and ADHD in first degree relatives (i.e., did not observe increased rates of BD in relatives of those with ADHD and vice versa; all ps > 0.05). The specificity of familial aggregation of ADHD and BD alongside the absence of shared familial risk are consistent with the notion that the comorbidity between ADHD and BD may be attributable to diagnostic artifact, could represent a distinct BD suptype characterized by childhood-onset symptoms, or the possibility that attention problems serve as a precursor or consequence of BD.

Delineating common and separable neural alterations in substance use disorders (SUD) is imperative to understand the neurobiological basis of the addictive process and to inform substance-specific treatment strategies. Given numerous functional MRI (fMRI) studies in different SUDs, a meta-analysis could provide an opportunity to determine robust shared and substance-specific alterations. The present study employed a coordinate-based meta-analysis covering fMRI studies in individuals with addictive cocaine, cannabis, alcohol, and nicotine use. The primary meta-analysis demonstrated common alterations in primary dorsal striatal, and frontal circuits engaged in reward/salience processing, habit formation, and executive control across different substances and task-paradigms. Subsequent sub-analyses revealed substance-specific alterations in frontal and limbic regions, with marked frontal and insula-thalamic alterations in alcohol and nicotine use disorders respectively. Examining task-specific alterations across substances revealed pronounced frontal alterations during cognitive processes yet stronger striatal alterations during reward-related processes. Finally, an exploratory meta-analysis revealed that neurofunctional alterations in striatal and frontal reward processing regions can already be determined with a high probability in studies with subjects with comparably short durations of use. Together the findings emphasize the role of dysregulations in frontostriatal circuits and dissociable contributions of these systems in the domains of reward-related and cognitive processes which may contribute to substance-specific behavioral alterations.

BACKGROUND:Sleep is vital to youth well-being and when it becomes disturbed - whether due to environmental or individual factors - mental and physical health suffer. Sleep problems can also be a symptom of underlying mental health disorders. Assessing different components of sleep, including quality and hygiene, can be useful both for identifying mental health problems and for measuring changes in well-being over time. However, there are dozens of sleep-related measures for youth and it can be difficult to determine which to select for a specific research or clinical purpose. The goal of this review was to identify sleep-related measures for clinical and/or research use in youth mental health settings, and to update the evidence base on this topic. METHOD:We generated a list of candidate measures based on other reviews and searched in PubMed and PsycINFO using the terms "sleep" AND (measure OR assessment OR questionnaire) AND (psychometric OR reliability OR validity). Search results were limited to studies about children and adolescents (aged 2-17) published in English. Additional criteria for inclusion were that there had to be at least three publications reporting on the measure psychometrics in community or mental health populations. Sleep measures meeting these criteria were evaluated using the criteria set by De Los Reyes and Langer (2018). RESULTS:Twenty-six measures, across four domains of sleep - insomnia, sleep hygiene, sleepiness, sleep quality - met inclusion criteria. Each measure had at least adequate clinical utility. No measure(s) emerged as superior across psychometric domains. CONCLUSION:Clinicians and researchers must evaluate sleep measures for each use case, as the intended purpose will dictate which measure is best. Future research is necessary to evaluate measure performance in transdiagnostic mental health populations, including youth with serious mental illness.

While interest in active avoidance has recently been resurgent, many concerns relating to the nature of this form of learning remain unresolved. By separating stimulus and response acquisition, aversive Pavlovian-instrumental transfer can be used to measure the effect of avoidance learning on threat processing with more control than typical avoidance procedures. However, the motivational substrates that contribute to the aversive transfer effect have not been thoroughly examined. In three studies using rodents, the impact of a variety of aversive signals on shock-avoidance responding (i.e., two-way shuttling) was evaluated. Fox urine, as well as a tone paired with the delivery of the predator odor were insufficient modulatory stimuli for the avoidance response. Similarly, a signal for the absence of food did not generate appropriate aversive motivation to enhance shuttling. Only conditioned Pavlovian stimuli that had been paired with unconditioned threats were capable of augmenting shock-avoidance responding. This was true whether the signaled outcome was the same (e.g., shock) or different (e.g., klaxon) from the avoidance outcome (i.e., shock). These findings help to characterize the aversive transfer effect and provide a more thorough analysis of its generalization to warning signals for different kinds of threats. This feature of aversive motivation has not been demonstrated using conventional avoidance procedures and could be potentially useful for applying avoidance in treatment settings.

OBJECTIVE/UNASSIGNED:Trauma-focused cognitive-behavioral therapy (CBT) is an important component of evidence-based treatment for posttraumatic stress disorder (PTSD), but the efficacy of treatment varies from individual to individual. It is hypothesized that some of this variability is derived from interindividual differences in the brain's intrinsic response to trauma-related stimuli and in activity of executive functional regions. The authors sought to characterize these differences using functional MRI (fMRI) in patients about to undergo CBT for PTSD. METHODS/UNASSIGNED:Blood-oxygenation-level-dependent signal was measured in 12 individuals with PTSD related to sexual and/or physical trauma while they read words with positive, neutral, and negative content. Some negative words had PTSD-related themes, while others did not. It was hypothesized that PTSD-related words would evoke emotional processes likely to be engaged by the CBT process and would be most likely to activate brain circuitry important for CBT success. RESULTS/UNASSIGNED:A group-level analysis showed that the rostral dorsomedial prefrontal cortex (rdmPFC) was activated to a greater degree in response to PTSD-related words compared with other word types. This activation was strongest among patients with the best CBT responses, particularly in the latter part of the task, when differences between individuals were most pronounced. CONCLUSIONS/UNASSIGNED:The rdmPFC activation observed in this study may reflect the engagement of neural processes involved in introspection and self-reflection. CBT may be more effective for individuals with a greater ability to engage these processes.

Attention-Deficit/Hyperactivity Disorder (ADHD) is associated with disordered eating, especially addictive-like eating behavior (i.e., binge eating, food addiction, loss of control overeating). The exact mechanisms underlying this association are unclear. ADHD and addictive-like eating behavior are both associated with negative affectivity and emotion dysregulation, which we hypothesized are mediators of this relationship. The purpose of this systematic review was to review the evidence related to this hypothesis from studies assessing the relationship between childhood or adulthood ADHD symptomatology, negative affectivity, emotion dysregulation and addictive-like eating behavior. The systematic review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) recommendations. The literature search was conducted in PubMed and PsycINFO (publication date: January 2015 to August 2020; date of search: 2nd September 2020). Out of 403 potentially relevant articles, 41 were retained; 38 publications reported that ADHD and disordered eating or addictive-like eating behavior were significantly associated, including 8 articles that suggested a mediator role of negative affectivity or emotion dysregulation. Sixteen publications reported that the association between ADHD symptomatology and disordered eating or addictive-like eating behavior differed according to gender, eating behavior and ADHD symptoms (hyperactivity, impulsivity and inattention). We discuss the practical implications of these findings and directions future research.

Multilayer network models have been proposed as an effective means of capturing the dynamic configuration of distributed neural circuits and quantitatively describing how communities vary over time. Beyond general insights into brain function, a growing number of studies have begun to employ these methods for the study of individual differences. However, test-retest reliabilities for multilayer network measures have yet to be fully quantified or optimized, potentially limiting their utility for individual difference studies. Here, we systematically evaluated the impact of multilayer community detection algorithms, selection of network parameters, scan duration, and task condition on test-retest reliabilities of multilayer network measures (i.e., flexibility, integration, and recruitment). A key finding was that the default method used for community detection by the popular generalized Louvain algorithm can generate erroneous results. Although available, an updated algorithm addressing this issue is yet to be broadly adopted in the neuroimaging literature. Beyond the algorithm, the present work identified parameter selection as a key determinant of test-retest reliability; however, optimization of these parameters and expected reliabilities appeared to be dataset-specific. Once parameters were optimized, consistent with findings from the static functional connectivity literature, scan duration was a much stronger determinant of reliability than scan condition. When the parameters were optimized and scan duration was sufficient, both passive (i.e., resting state, Inscapes, and movie) and active (i.e., flanker) tasks were reliable, although reliability in the movie watching condition was significantly higher than in the other three tasks. The minimal data requirement for achieving reliable measures for the movie watching condition was 20 min, and 30 min for the other three tasks. Our results caution the field against the use of default parameters without optimization based on the specific datasets to be employed - a process likely to be limited for most due to the lack of test-retest samples to enable parameter optimization.

PURPOSE OF REVIEW/OBJECTIVE:This review paper aims to update readers on the importance of screening for attention-deficit/hyperactivity disorder (ADHD) in adults and to provide a primer on how best to screen and diagnose this condition in an efficient and reliable manner. RECENT FINDINGS/RESULTS:The ASRS Screening Scale was updated in 2017 to reflect the changes made to identify ADHD based on the DSM-5 criteria and to reflect our understanding that adult ADHD is characterized by executive functioning deficits that are not explicitly reflected in the DSM-5 criteria. The use of the ASRS Screening Scale improves the clinician's ability to rapidly identify adult patients who require a comprehensive evaluation to diagnose ADHD and/or other comorbid psychiatric conditions. The scale has been validated for use in both the general population and in the ADHD specialty treatment population, which supports its use by both general clinicians and mental health clinicians. Identification of adult ADHD is critical due to the profound personal, familial, and societal costs associated with this condition.