Faculty Bibliography

RATIONALE/BACKGROUND:receptor levels in OFC and enhance sensorimotor deficits and hyperactivity induced by RU24969. OBJECTIVES/OBJECTIVE:-mediated sensorimotor deficits. METHODS:receptor agonist RU24969 on prepulse inhibition (PPI) of startle, hyperactivity, and expression of cFos was examined. RESULTS:receptor levels in OFC of Ala56 mice, RU24969-induced PPI deficits and hyperlocomotion were not different between genotypes. Baseline levels of cFos expression were not different between groups. RU24969 increased cFos expression in OFC of wild-types and decreased cFos in the striatum. CONCLUSIONS:levels in SERT Ala56 mice do not necessarily exacerbate these deficits, potentially due to compensations during neural circuit development in this model system.

BACKGROUND:Evidence for the effectiveness of state-mandated body mass index (BMI) screening programs in the United States has been inconclusive, and potential unintended consequences of the programs have been debated. The present review aims to understand parents' perceptions of and responses to school-based BMI screening, and to highlight racial/ethnic differences. METHODS:We systematically identified studies published January 2003-May 2019 examining parent and/or youth perceptions of and/or responses to US school-based BMI screening. RESULTS:A total of 16 studies were included in the review. Studies suggested that while parents largely found BMI screening helpful, they held concerns regarding stigma, lack of privacy, and unhealthy behaviors and attitudes resulting from school-based screening. Furthermore, parents did not frequently follow-up with health care providers, although they reported some healthy behavior changes. CONCLUSIONS:Our review highlights existing parent perceptions of school-based BMI screening including the potential for healthy behavior change and important concerns regarding weight-stigma and disturbed eating attitudes/behaviors. Additionally, racial/ethnic differences in screening preferences and experiences were found. Limitations of existing literature included a need to understand youths' experiences and a lack of standardized, reliable outcomes research. Implications for future research and the role of parents, schools, and providers are discussed.

BACKGROUND:Prenatal development is a time when the brain is acutely vulnerable to insult and alteration by environmental factors (e.g., toxins, maternal health). One important risk factor is maternal obesity (Body Mass Index > 30). Recent research indicates that high maternal BMI during pregnancy is associated with increased risk for numerous physical health, cognitive, and mental health problems in offspring across the lifespan. It is possible that heightened maternal prenatal BMI influences the developing brain even before birth. METHODS:The present study examines this possibility at the level of macrocircuitry in the human fetal brain. Using a data-driven strategy for parcellating the brain into subnetworks, we test whether MRI functional connectivity within or between fetal neural subnetworks varies with maternal prenatal BMI in 109 fetuses between the ages of 26 and 39weeks. RESULTS:We discovered that strength of connectivity between two subnetworks, left anterior insula/inferior frontal gyrus (aIN/IFG) and bilateral prefrontal cortex (PFC), varied with maternal BMI. At the level of individual aIN/IFG-PFC connections, we observed both increased and decreased between-network connectivity with a tendency for increased within-hemisphere connectivity and reduced cross-hemisphere connectivity in higher BMI pregnancies. Maternal BMI was not associated with global differences in network topography based on network-based statistical analyses. CONCLUSIONS:Overall effects were localized in regions that will later support behavioral regulation and integrative processes, regions commonly associated with obesity-related deficits. By establishing onset in neural differences prior to birth, this study supports a model in which maternal BMI-related risk is associated with fetal connectome-level brain organization with implications for offspring long-term cognitive development and mental health.

Normal developmental activities (eg, going to school, raising a hand in class, and managing typical life uncertainties) are 'triggers' for children and adolescents with anxiety disorders. To cope, children with anxiety avoid; however, when avoidance of developmentally appropriate activities is not possible, catastrophic responses can ensue. If these catastrophic reactions result in successful avoidance, they are likely to recur leading to a generalized pattern of dysregulated behavior. Interventions include treating anxiety disorder symptoms to remission. For parents the goal is to challenge their child to engage in important developmental activities, reward positive coping and avoid reinforcing avoidance behavior.

OBJECTIVE:Many public health approaches to suicide prevention emphasize connecting at-risk individuals to professional treatment. However, it is unclear to what degree the outpatient mental health workforce has the requisite knowledge and skills to provide the evidence-based care needed to help those at risk. In this project, prior to the implementation of a statewide suicide prevention initiative, we assessed the baseline suicide prevention training and clinical practices of the New York State outpatient mental health workforce, a group likely representative of the broader U.S. clinical workforce. METHOD:A workforce survey of suicide prevention training and clinical practices was administered to 2,257 outpatient clinicians, representing 169 clinics serving approximately 90,000 clients. Clinicians were asked to complete the survey online, and all responses were confidential. RESULTS:Clinicians reported substantial gaps in their suicide prevention knowledge and training. The vast majority reported moderate self-efficacy working with suicidal clients and endorsed using evidence-based assessment procedures, but varied in utilization of recommended intervention practices. CONCLUSIONS:This study highlights gaps in clinicians' training and clinical practices that need to be overcome to provide evidence-based suicide care. Promisingly, positive associations were found between training and clinician knowledge, self-efficacy, and use of evidence-based practices.

Anxiety and eating disorders (EDs) often co-occur, prompting calls to explore anxiety-related maintenance processes in ED samples. Safety behaviors, which function to prevent a feared outcome from occurring or to reduce anxiety associated with a feared stimulus, are observed across anxiety disorders and, along with overt avoidance behaviors, are an important target in treatment. Data suggest that individuals with EDs also engage in safety behaviors. However, no existing assessments provide a comprehensive measure of eating-disorder-specific overt avoidance and safety behaviors. The goal of this Stage 1 Registered Report is to develop a comprehensive self-report measure of ED-specific safety behaviors. In Study 1, we will recruit 50 women with EDs to complete the scale and provide feedback on the response scale. Feedback from these participants will be used to refine the measure. In Study 2, we will evaluate the psychometric properties of the measure in a large sample of women with EDs (n dependent on the size of measurement) and a community sample without current or a history of ED symptoms. We will explore the measure factor structure, known-groups validity by comparing scores from women with EDs to healthy controls, internal consistency, and convergent and divergent validity with other psychological instruments.

Psychophysiological interaction (PPI) was proposed 20 years ago for study of task modulated connectivity on functional MRI (fMRI) data. A few modifications have since been made, but there remain misunderstandings on the method, as well as on its relations to a similar method named beta series correlation (BSC). Here, we explain what PPI measures and its relations to BSC. We first clarify that the interpretation of a regressor in a general linear model depends on not only itself but also on how other effects are modeled. In terms of PPI, it always reflects differences in connectivity between conditions, when the physiological variable is included as a covariate. Secondly, when there are multiple conditions, we explain how PPI models calculated from direct contrast between conditions could generate identical results as contrasting separate PPIs of each condition (a.k.a. "generalized" PPI). Thirdly, we explicit the deconvolution process that is used for PPI calculation, and how is it related to the trial-by-trial modeling for BSC, and illustrate the relations between PPI and those based upon BSC. In particular, when context sensitive changes in effective connectivity are present, they manifest as changes in correlations of observed trial-by-trial activations or functional connectivity. Therefore, BSC and PPI can detect similar connectivity differences. Lastly, we report empirical analyses using PPI and BSC on fMRI data of an event-related stop signal task to illustrate our points.

Brain extraction (a.k.a. skull stripping) is a fundamental step in the neuroimaging pipeline as it can affect the accuracy of downstream preprocess such as image registration, tissue classification, etc. Most brain extraction tools have been designed for and applied to human data and are often challenged by non-human primates (NHP) data. Amongst recent attempts to improve performance on NHP data, deep learning models appear to outperform the traditional tools. However, given the minimal sample size of most NHP studies and notable variations in data quality, the deep learning models are very rarely applied to multi-site samples in NHP imaging. To overcome this challenge, we used a transfer-learning framework that leverages a large human imaging dataset to pretrain a convolutional neural network (i.e. U-Net Model), and then transferred this to NHP data using a small NHP training sample. The resulting transfer-learning model converged faster and achieved more accurate performance than a similar U-Net Model trained exclusively on NHP samples. We improved the generalizability of the model by upgrading the transfer-learned model using additional training datasets from multiple research sites in the Primate Data-Exchange (PRIME-DE) consortium. Our final model outperformed brain extraction routines from popular MRI packages (AFNI, FSL, and FreeSurfer) across a heterogeneous sample from multiple sites in the PRIME-DE with less computational cost (20s∼10min). We also demonstrated the transfer-learning process enables the macaque model to be updated for use with scans from chimpanzees, marmosets, and other mammals (e.g. pig). Our model, code, and the skull-stripped mask repository of 136 macaque monkeys are publicly available for unrestricted use by the neuroimaging community at https://github.com/HumanBrainED/NHP-BrainExtraction.

Early life is a sensitive period in which enhanced neural plasticity allows the developing brain to adapt to its environment. This plasticity can also be a risk factor in which maladaptive development can lead to long-lasting behavioral deficits. Here, we test how early-life exposure to the selective-serotonin-reuptake-inhibitor, fluoxetine, affects motivation and dopaminergic signaling in adulthood. We show for the first time that mice exposed to fluoxetine in the early postnatal period exhibit a reduction in effort-related motivation. These mice also show blunted responses to amphetamine and reduced dopaminergic activation in a sucrose reward task.Interestingly, we find that the reduction in motivation can be rescued in the adult by administering bupropion, a dopamine-norepinephrine reuptake inhibitor used as an antidepressant and a smoke cessation aid, but not by fluoxetine. Taken together, our studies highlight the effects of early postnatal exposure of fluoxetine on motivation and demonstrate the involvement of the dopaminergic system in this process.Significance StatementThe developmental period is characterized by enhanced plasticity. During this period, environmental factors have the potential to lead to enduring behavioral changes. Here we show that exposure to the SSRI fluoxetine during a restricted period in early-life leads to a reduction in adult motivation. We further show that this reduction is associated with decreased dopaminergic responsivity. Finally, we show that motivational deficits induced by early-life fluoxetine exposure can be rescued by adult administration of bupropion but not by fluoxetine.