Faculty Bibliography

Over the past two decades, research on pediatric bipolar disorder has grown geometrically. The diagnosis of pediatric bipolar disorder was met with enthusiasm, which in healthy doses catalyzed change, and skepticism, which in good measure pushes for rigor. Skepticism led to productive questions about the phenomenology of pediatric bipolar disorder and how best to diagnose and treat it. With regard to prevalence, key questions included whether it was increasing over time, and whether it was limited to the United States. In 2011, we published a meta-analysis addressing the prevalence questions; results indicated that bipolar disorder manifested at statistically indistinguishable rates in youth community samples across the world. In their recent paper, Parry et al. examine the studies included in the 2011 meta-analysis using a qualitative approach. Their opinion piece represents a step backwards; every study has shortcomings, but in focusing on a dozen individual studies, Parry et al. fail to take into account the preponderance of evidence - literally thousands of articles across countries, cohorts and methodologies - that support the existence of bipolar disorder in both prepubescent youth and adolescents. This commentary addresses misperceptions regarding the diagnosis of bipolar disorder in youth, particularly with regard to cross-informant agreement, to present converging data from international sources regarding the onset of bipolar disorder in childhood, and to correct the false claim that pediatric bipolar disorder is controversial. As clinicians and researchers, we have an obligation to do what we can to improve the lives of youth affected by mental illness. Denying the existence of a serious mood disorder will not serve the best interests of young people and will perpetuate the long delays many experience before getting an accurate diagnosis, appropriate treatment, and a fair chance at a good quality of life.

Purpose: Instagram has grown over the years to become one of the most popular social media platforms, and three quarters of teens who use social media use Instagram. In recent years, "Finstas", or "fake" Instagrams have grown in popularity among US teenagers. Finsta accounts are subsidiary Instagram accounts with highly selected audiences where owners can post material that is not associated with their main account. Public Twitter posts (tweets) can provide insight into communication about these clandestine accounts not available through Instagram due to the inherent private nature of these accounts. This exploratory study uses natural language processing (NLP) techniques on tweets about Finsta accounts to gain insight into this phenomenon. Method(s): An R-script was developed to pull data from the Twitter API to capture tweets longitudinally that were in English, from North America, and specifically mention some form of the stem and lemmatized word "Finsta." As there are no current studies on Finsta accounts, a comprehensive thematic analysis was then performed on the corpus of tweets to develop qualitative insights on this phenomenon. A quantitative process involved further cleaning and removing of stop-words to develop a Ngram frequency chart of the lemmatized words in the corpus of tweets to better understand the ways in which people were communicating about Finsta accounts. Result(s): 10,000 tweets containing the word "Finsta" were pulled from the Twitter API. After a comprehensive cleaning process, 5,159 tweets were then analyzed qualitatively to identify themes as a preliminary inquiry into this relatively new phenomenon. Themes identified within the corpus were: a desire for privacy compared to their main account, a place to share information that may be politically incorrect or would get users in trouble if shared on accounts with wider viewership, and a place to showcase real life. Ngram frequency words highlight similar words common to social media, "follow," "like," and "post" being amongst the most popular; however, within this corpus there are high frequencies of the words, "private," "sad," "nudes," "spam," "rant," "exposed," "emotional," and "outlet," tied to contextual themes indicating that Finstas may be an outlet for emotional catharsis in a "safe space." A Finsta user may have twenty followers (as opposed to 1000 on their main account) that include their closest friends. They may post blurry pictures without filters, with long captions detailing their negative emotional state. This sensitive content is posted with the underlying assumption that their friends will keep this information private. Conclusion(s): Preliminary analyses indicate that Finstas are a new way for teens to connect with peers in a controlled space online, where they can truly express themselves. Additionally, there is also a great deal of gossip, exhibitionism, risk-taking, and other attention-seeking behaviors typical of adolescence that manifest in ways not seen on users' primary accounts. Finsta accounts fulfill a vital role in the lives of adolescents looking for ways to authentically connect, share, and create community that is not offered through traditional uses of social media. Sources of Support: NYU CAMS Undergraduate Internship

AIM/OBJECTIVE:Data pertaining to child and adolescent psychiatry (CAP) training systems are limited as extant research has mostly been derived from one-time data collection. This 5-year follow-up survey collects updated information on CAP training systems in the Far East, allowing for the tracking of system changes over the past 5 years. METHODS:Data were obtained from 18 countries, or functionally self-governing areas, in the Far East, 17 of which were also included in the original study. An online questionnaire was completed by leading CAP professionals in each country. Questions were expanded in the present study to capture the contents of CAP training. RESULTS:When compared to data from the original study, there has been progress in CAP training systems in the last 5 years. Specifically, there has been an increase in the number of countries with CAP training programs and national guidelines for the training. In addition, the number of CAP departments/divisions affiliated with academic institutions/universities has increased. Findings from 12 of 18 countries in the present study provide data on clinical contents. All informants of the present study reported the need for more child and adolescent psychiatrists and allied professionals. CONCLUSION/CONCLUSIONS:Despite progress in CAP training systems over the last 5 years, the need for more professionals in child and adolescent mental health care in all the relevant areas in this region have yet to be adequately addressed. Continued national efforts and international collaborations are imperative to developing and sustaining new CAP training systems while facilitating improvements in existing programs.

The aim of this study was to examine the effects of maternal interpersonal violence-related posttraumatic disorder (IPV-PTSD) on child appraisal of emotion, as measured by high-density electroencephalography (HD-EEG) during an Emotional Face-matching Task (EFMT). We recorded HD-EEG in 47 children of mothers with and without IPV-PTSD during an Emotional Face-matching Task (EFMT). Mothers and children each performed the EFMT. Behavioral results demonstrated that both mothers who were directly exposed to violent events, and their children, presented attentional bias toward negative emotions when processing facial stimuli. EEG findings confirmed differences in emotion appraisal between children of IPV-PTSD mothers and non-PTSD controls at scalp-level and in terms of source localization upon which children of IPV-PTSD mothers demonstrated decreased activation of the right dorsolateral prefrontal cortex (dlPFC) in response to angry and fearful faces as compared to non-PTSD children with respect to the N170 component. Our study, to our knowledge, is the first to show that maternal IPV-PTSD significantly affects a mother's own and her child's neural activity in response to facial expressions of negative emotion. These findings are potentially important to the development and study of effective interventions to interrupt intergenerational cycles of violence and trauma.

Olfactory impairments may provide early indications of future health outcomes in older adults. Thus, an important question concerns whether these impairments can be self-assessed. Previous findings of cross-sectional studies indicate low correlations between self-reported olfactory function and objective olfactory performance. On the other hand, subjective olfactory impairments predict future dementia and mortality in longitudinal settings. No previous study has assessed the relationship between subjectively and objectively measured decline in olfaction over time. Based on data for 903 older adults derived from the Betula Study, a Swedish population-based prospective study, we tested whether rate-of-change in odor identification could be predicted from subjective olfactory decline over a time span of 10 years during which subjective and objective odor functions were assessed on 2 or 3 test occasions. Indeed, we found that participants who experienced subjective olfactory decline over the study period also had significantly steeper rates of decline in odor identification, even after adjusting for demographic, cognitive, and genetic factors that previously have been associated with performance in odor identification. This association was, however, not present in a subsample with baseline cognitive impairment. We interpret these results as evidence that when asked about whether they have an olfactory impairment or not, older persons are assessing intraindividual olfactory changes, rather than interindividual differences. Our results indicate that subjective olfactory loss reflects objective olfactory decline in cognitively intact older adults. This association might be harnessed to predict health outcomes and highlights the need to develop effective olfactory self-assessments.

Perceptual learning is an enhancement in discriminability of similar stimuli following experience with those stimuli. Here, we examined the efficacy of adding additional active training following a standard training session, compared with additional stimulus exposure in the absence of associated task performance. Mice were trained daily in an odor-discrimination task, and then, several hours later each day, received 1 of 3 different manipulations: 1) a second active-training session, 2) non-task-related odor exposure in the home cage, or 3) no second session. For home-cage exposure, odorants were presented in small tubes that mice could sniff and investigate for a similar period of time as in the active discrimination task each day. The results demonstrate that daily home-cage exposure was equivalent to active odor training in supporting improved odor discrimination. Daily home-cage exposure to odorants that did not match those used in the active task did not improve learning, yielding outcomes similar to those obtained with no second session. Piriform cortical local field potential recordings revealed that both sampling in the active learning task and investigation in the home cage evoked similar beta band oscillatory activity. Together the results suggest that odor-discrimination learning can be significantly enhanced by addition of odor exposure outside of the active training task, potentially because of the robust activity evoked in the olfactory system by both exposure paradigms. They further suggest that odorant exposure alone could enhance or maintain odor-discrimination abilities in conditions associated with olfactory impairment, such as aging or dementia.

Genetic factors are strongly implicated in the susceptibility to develop externalizing syndromes such as attention-deficit/hyperactivity disorder (ADHD), oppositional defiant disorder, conduct disorder, and substance use disorder (SUD). Variants in the ADGRL3 (LPHN3) gene predispose to ADHD and predict ADHD severity, disruptive behaviors comorbidity, long-term outcome, and response to treatment. In this study, we investigated whether variants within ADGRL3 are associated with SUD, a disorder that is frequently co-morbid with ADHD. Using family-based, case-control, and longitudinal samples from disparate regions of the world (n = 2698), recruited either for clinical, genetic epidemiological or pharmacogenomic studies of ADHD, we assembled recursive-partitioning frameworks (classification tree analyses) with clinical, demographic, and ADGRL3 genetic information to predict SUD susceptibility. Our results indicate that SUD can be efficiently and robustly predicted in ADHD participants. The genetic models used remained highly efficient in predicting SUD in a large sample of individuals with severe SUD from a psychiatric institution that were not ascertained on the basis of ADHD diagnosis, thus identifying ADGRL3 as a risk gene for SUD. Recursive-partitioning analyses revealed that rs4860437 was the predominant predictive variant. This new methodological approach offers novel insights into higher order predictive interactions and offers a unique opportunity for translational application in the clinical assessment of patients at high risk for SUD.

A 2016 survey of pediatric neuropsychologists found that 92% of clinicians reported use of "at least one" performance validity test (PVT) in each assessment. The present investigation sought to verify documented PVT use among clinicians by review of actual reports. A convenience sample of pediatric neuropsychological reports of children ages 6-17 were reviewed over an 24-month period (January 2015-January 2017); reports were those seen as part of our routine practice, including reports on children we were reevaluating, cases that we consulted on, or cases evaluated elsewhere presenting to our centers that required record review for clinical decision making (e.g., presurgical epilepsy evaluations). A total of 131 reports, from 102 unique neuropsychologists were reviewed. PVT usage was documented in only six reports, from six unique clinicians, representing only 4.58% of the reports (or 5.88% of clinicians), far below expectations recent survey results. Though sampling differences and documentation factors may account for some of this disparity, a "social desirability bias" on surveys is likely a major factor in explaining these discordant findings.

Despite its popularity in the neuropsychological evaluation of children, the utility of the Wechsler Intelligence Scale for Children - Fifth Edition (WISC-V) has not yet been investigated in children with epilepsy. Eighty clinically referred children and adolescents with epilepsy were administered the WISC-V as part of a comprehensive assessment and scores were compared to matched controls from the WISC-V standardization sample. T tests compared WISC-V indices and subtests between patients and controls and Chi-square analyses compared the rates of low scores. Correlational analyses assessed the relationships between epilepsy severity variables (e.g., age of onset, duration of epilepsy, number of antiepileptic drugs, seizure frequency). All WISC-V composites and subtests were significantly lower in patients versus controls and the rate of low scores was higher in patients than controls for all composites and subtests with the exception of Figure Weights. The Working Memory Index and Processing Speed Index were most sensitive to impairment, while the Verbal Comprehension Index and Fluid Reasoning Index were least sensitive. Of the epilepsy severity variables, age of seizure onset and number of antiepileptic drugs were strong predictors of deficits, whereas seizure frequency was the weakest predictor. Importantly, no significant differences were seen in children with right hemisphere epilepsy versus left on the five WISC-V composites, though a trend was seen towards a lower Visual-Spatial Index in those with right-sided focal seizures.

INTRODUCTION/BACKGROUND:The exact mechanisms underlying the established association between ADHD and obesity remain unclear. Food addiction and binge eating may contribute to this link. We examined for the first time the association between childhood/adult ADHD and food addiction/binge eating in patients with obesity, as well as the association between ADHD and sleep apnea syndrome. METHODS:We included 105 obese patients from the Nutrition Department of the University Hospital of Tours (France) between January and December 2014. We assessed categorical diagnoses of childhood/adulthood ADHD (semi-structured interview DIVA 2.0), food addiction (Yale Food Addiction Scale 2.0), binge eating (Binge Eating Scale), obstructive sleep apnea (clinical assessment), and BMI (clinical assessment). RESULTS:Patients with adult ADHD were at significantly higher risk of food addiction than patients without adult ADHD (28.6% vs. 9.1%; p = .016). Adult and childhood ADHD were significantly associated with self-reported food addiction, food addiction scores and binge eating scores, with a larger effect size for adult (ORs: 4.00 [1.29-12.40], 1.37 [1.14-1.65] and 1.08 [1.03-1.14], respectively) than childhood (ORs: 3.32 [1.08-10.23], 1.29 [1.08-1.55] and 1.06 [1.01-1.11], respectively) ADHD. ADHD diagnosis was not significantly correlated to obstructive sleep apnea. Mean age of onset of ADHD preceded mean age of onset of obesity. CONCLUSION/CONCLUSIONS:ADHD diagnosis is associated with food addiction and binge eating, with a larger effect size for adult than childhood ADHD. Our results provide a strong rationale for further longitudinal research on the link between ADHD, food addiction, binge eating and obesity, paving the way for evidence-based therapeutic interventions for these patients.