Faculty Bibliography

Fear conditioning is a widely used laboratory model to investigate learning, memory, and psychopathology across species. The quantification of learning in this paradigm is heterogeneous in humans and psychometric properties of different quantification methods can be difficult to establish. To overcome this obstacle, calibration is a standard metrological procedure in which well-defined values of a latent variable are generated in an established experimental paradigm. These intended values then serve as validity criterion to rank methods. Here, we develop a calibration protocol for human fear conditioning. Based on a literature review, series of workshops, and survey of N = 96 experts, we propose a calibration experiment and settings for 25 design variables to calibrate the measurement of fear conditioning. Design variables were chosen to be as theory-free as possible and allow wide applicability in different experimental contexts. Besides establishing a specific calibration procedure, the general calibration process we outline may serve as a blueprint for calibration efforts in other subfields of behavioral neuroscience that need measurement refinement.

INTRODUCTION/BACKGROUND:Interpretation of high-resolution CT images plays an important role in the diagnosis and management of interstitial lung diseases. However, interreader variation may exist due to varying levels of training and expertise. This study aims to evaluate interreader variation and the role of thoracic radiology training in classifying interstitial lung disease (ILD). METHODS:This is a retrospective study where seven physicians (radiologists, thoracic radiologists, and a pulmonologist) classified the subtypes of ILD of 128 patients from a tertiary referral center, all selected from the Interstitial Lung Disease Registry which consists of patients from November 2014 to January 2021. Each patient was diagnosed with a subtype of interstitial lung disease by a consensus diagnosis from pathology, radiology, and pulmonology. Each reader was provided with only clinical history, only CT images, or both. Reader sensitivity and specificity and interreader agreements using Cohen's κ were calculated. RESULTS:Interreader agreement based only on clinical history, only on radiologic information, or combination of both was most consistent amongst readers with thoracic radiology training, ranging from fair (Cohen's κ: 0.2-0.46), moderate to almost perfect (Cohen's κ: 0.55-0.92), and moderate to almost perfect (Cohen's κ: 0.53-0.91) respectively. Radiologists with any thoracic training showed both increased sensitivity and specificity for NSIP as compared to other radiologists and the pulmonologist when using only clinical history, only CT information, or combination of both (p < 0.05). CONCLUSIONS:Readers with thoracic radiology training showed the least interreader variation and were more sensitive and specific at classifying certain subtypes of ILD. SUMMARY SENTENCE/UNASSIGNED:Thoracic radiology training may improve sensitivity and specificity in classifying ILD based on HRCT images and clinical history.

PURPOSE/OBJECTIVE:Disruptive behavioral disorders (DBDs) are common among children/adolescents in sub-Saharan Africa. A 16-week manualized multiple family group (MFG) intervention called Amaka Amasanyufu designed to reduce DBDs among school-going children/adolescents in low-resource communities in Uganda was efficacious in reducing symptoms of poor mental health relative to usual care in the short-term (4 months post-intervention-initiation). We examined whether intervention effects are sustained 6 months postintervention. METHODS:We used longitudinal data from 636 children positive for DBDs: (1) Control condition, 10 schools, n = 243; (2) MFG delivered via parent peers (MFG-PP), eight schools, n = 194 and; (3) MFG delivered via community healthcare workers (MFG-CHW), eight schools, n = 199 from the SMART Africa-Uganda study (2016-2022). All participants were blinded. We estimated three-level linear mixed-effects models and pairwise comparisons at 6 months postintervention and time-within-group effects to evaluate the impact on Oppositional Defiant Disorder (ODD), impaired functioning, depressive symptoms, and self-concept. RESULTS:At 6 months postintervention, children in MFG-PP and MFG-CHW groups had significantly lower means for ODD (mean difference [MD] = -1.08 and -1.35) impaired functioning (MD = -1.19 and -1.16), and depressive symptoms (MD = -1.06 and -0.83), than controls and higher means for self-concept (MD = 3.81 and 5.14). Most outcomes improved at 6 months compared to baseline. There were no differences between the two intervention groups. DISCUSSION/CONCLUSIONS:The Amaka Amasanyufu intervention had sustained effects in reducing ODD, impaired functioning, and depressive symptoms and improving self-concept relative to usual care at 6 months postintervention. Our findings strengthen the evidence that the intervention effectively reduces DBDs and impaired functioning among young people in resource-limited settings and was sustained over time.

Behavior disorders (BDs) are common and, without treatment, can have long-term impacts on child and family health. Behavioral Parent Training (BPT) is the standard of care intervention for early-onset BDs; however, structural socioeconomic barriers hinder treatment outcomes for low-income families. While digital technologies have been proposed as a mechanism to improve engagement in BPT, research exploring the relationship between technology use and outcomes is lacking. Thus, this study with 34 low-income families examined the impact of parents' use of adjunctive mobile app components on treatment efficiency in one technology-enhanced (TE-) BPT program, Helping the Noncompliant Child (HNC). While parent use of the TE-HNC app and its impact on the efficiency of service delivery varied across specific components, increased app use significantly reduced the number of weeks required for families to achieve skill mastery. Implications for the design and development of behavior intervention technologies in general, as well as for BPT in particular, are discussed.

BACKGROUND:The current study compares results of a group-based intervention developed to reduce symptoms of posttraumatic stress, depression, and anxiety in parents of premature infants with a prior study using an individual version of the treatment manual. METHODS:26 mothers of preterm infants (25-34 weeks' gestational age; >600 g) received 6 sessions of trauma-focused cognitive behavior therapy (CBT). Outcomes were compared with those of a previously published RCT, which tested an individual therapy based on the same model in a group of 62 mothers. Results were also compared across in-person and telehealth treatment. RESULTS:From baseline to follow up, the individual intervention showed greater improvement in trauma symptoms assessed with the Davidson Trauma Scale (d = 0.48, p = 0.016), although both conditions showed clinically significant improvement. Similar patterns were found for maternal depression and anxiety. In-person treatment was found to be superior to telehealth treatment administered during the COVID-19 pandemic, although the difference was not significant. CONCLUSIONS:Group-based trauma focused CBT is an effective treatment modality for parents of premature infants with symptoms of psychological distress but not as effective as individual therapy using the same treatment model.

For accurate diagnosis of interstitial lung disease (ILD), a consensus of radiologic, pathological, and clinical findings is vital. Management of ILD also requires thorough follow-up with computed tomography (CT) studies and lung function tests to assess disease progression, severity, and response to treatment. However, accurate classification of ILD subtypes can be challenging, especially for those not accustomed to reading chest CTs regularly. Dynamic models to predict patient survival rates based on longitudinal data are challenging to create due to disease complexity, variation, and irregular visit intervals. Here, we utilize RadImageNet pretrained models to diagnose five types of ILD with multimodal data and a transformer model to determine a patient's 3-year survival rate. When clinical history and associated CT scans are available, the proposed deep learning system can help clinicians diagnose and classify ILD patients and, importantly, dynamically predict disease progression and prognosis.

Cannabidiol (CBD), a non-euphoric component of cannabis, reduces seizures in multiple forms of pediatric epilepsies, but the mechanism(s) of anti-seizure action remain unclear. In one leading model, CBD acts at glutamatergic axon terminals, blocking the pro-excitatory actions of an endogenous membrane phospholipid, lysophosphatidylinositol (LPI), at the G-protein-coupled receptor GPR55. However, the impact of LPI-GPR55 signaling at inhibitory synapses and in epileptogenesis remains underexplored. We found that LPI transiently increased hippocampal CA3-CA1 excitatory presynaptic release probability and evoked synaptic strength in WT mice, while attenuating inhibitory postsynaptic strength by decreasing GABA_ARγ₂ and gephyrin puncta. LPI effects at excitatory and inhibitory synapses were eliminated by CBD pre-treatment and absent after GPR55 deletion. Acute pentylenetrazole-induced seizures elevated GPR55 and LPI levels, and chronic lithium-pilocarpine-induced epileptogenesis potentiated LPI's pro-excitatory effects. We propose that CBD exerts potential anti-seizure effects by blocking LPI's synaptic effects and dampening hyperexcitability.

IMPORTANCE:Reproductive system and mental health disorders are commonly comorbid in women. Although the causes of this overlap remain elusive, evidence suggests potential shared environmental and genetic factors associated with risk. OBJECTIVE:To investigate the comorbidity between psychiatric and reproductive system disorders, both as broad diagnostic categories and among specific pairs of diagnoses. DATA SOURCE:PubMed. STUDY SELECTION:Observational studies published between January 1980 and December 2019 assessing prevalence of psychiatric disorders in women with reproductive system disorders and prevalence of reproductive system disorders in women with psychiatric disorders were included. The study did not include psychiatric and reproductive disorders triggered by life events (eg, trauma, infection, surgery) to address potential confounding. DATA EXTRACTION AND SYNTHESIS:A search yielded 1197 records, of which 50 met the inclusion criteria for the qualitative and 31 for the quantitative synthesis in our study. A random-effects model was used for data synthesis and Egger test and I2 to assess study bias and heterogeneity. Data were analyzed from January to December 2022. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guideline. MAIN OUTCOMES AND MEASURES:Psychiatric and reproductive system disorders. RESULTS:A total of 1197 records were identified, of which 50 met the inclusion criteria for qualitative and 31 for quantitative synthesis. Diagnosis of a reproductive system disorder was associated with a 2- to 3-fold increased odds of having a psychiatric disorder (lower bound odds ratio [OR], 2.00; 95% CI, 1.41-2.83; upper bound OR; 2.88; 95% CI, 2.21-3.76). The analysis focused on specific diagnoses described in the literature and found that polycystic ovary syndrome was associated with increased odds of depression (population-based studies OR, 1.71; 95% CI, 1.19-2.45; clinical studies OR, 2.58; 95% CI, 1.57-4.23) and anxiety (population-based studies OR, 1.69; 95% CI, 1.36-2.10; clinical studies OR, 2.85; 95% CI, 1.98-4.09). Chronic pelvic pain was also associated with both depression (OR, 3.91; 95% CI, 1.81-8.46) and anxiety (OR, 2.33; 95% CI, 1.33-4.08). Few studies investigated risk of other reproductive system disorders in women with psychiatric disorders, or reverse associations (risk of reproductive system disorder among women with a psychiatric diagnosis). CONCLUSIONS AND RELEVANCE:In this systematic review and meta-analysis, a high rate of reported co-occurrence between psychiatric and reproductive disorders overall was observed. However, data for many disorder pairs were limited. The available literature focused overwhelmingly on affective disorders in polycystic ovary syndrome, overlooking a substantial portion of disease overlap. As such, the associations between the majority of mental health outcomes and conditions of the female reproductive system are largely unknown.