Training Staff to Create Equivalence-Based Instruction Materials in Qualtrics.

Staff training is an important line of research to ensure that clinicians in the field of applied behavior analysis provide quality services. One approach to providing training involves the use of asynchronous training materials in which the trainer and trainee do not need to be physically present at the same time. This allows for training despite limited numbers of trainers or geographic restrictions. The purpose of this study was to train participants to create equivalence-based instruction (EBI) materials in Qualtrics, a commercial survey software package. In the first phase of the study, participants experienced a training package consisting of a video model and task analysis that described how to create EBI materials. Phase 2, evaluated whether the EBI materials created in Phase 1 led to equivalence-based responding. Results indicated that the training was effective for training staff and that staff found the training socially acceptable. Results also demonstrated that the EBI materials resulted in the learning of the trained and derived relations. Supplementary Information: The online version contains supplementary material available at 10.1007/s40732-021-00497-4.

Sexual Arousal Discounting: Devaluing Condom-Protected Sex as a Function of Reduced Arousal.

Sexual discounting is a growing area of research aimed at identifying factors that reduce people's reported willingness to have safe sex. One commonly reported reason for condom non-use is that a condom reduces sexual arousal. However, researchers have yet to isolate the specific role of sexual arousal using a sexual discounting framework. We extended past research by measuring how sexual arousal reduced people's willingness to have condom-protected sex ("sexual arousal discounting": SAD). College students (n = 379; 67.5% females) selected partners they most wanted and least wanted to have sex with and were randomized to one of two groups. In one group, participants rated their willingness to have sex with a condom if their own arousal decreased (from 100 to 10%) from condom use. The other group completed the same task except their partner's arousal decreased from condom use instead of their own. We observed a three-way interaction between arousal levels, most versus least desirable partners, and self versus partner groups. Participants' willingness to have condom-protected sex systematically reduced as a function of sexual arousal. This was observed more with the most (vs. least) desirable partner and in the self-arousal (vs. partner-arousal) group but only when the partner was their least desirable. Men (vs. women) displayed more arousal discounting but only with the most desirable partner. Finally, higher arousal discounting was associated with lower safe-sex self-efficacy and higher reported frequency of unprotected sex in the past 3 months. This study demonstrates how reduced sexual arousal from condom use can be measured as a factor influencing sexual risk-taking.

Predicting changes in substance use following psychedelic experiences: natural language processing of psychedelic session narratives.

Background: Experiences with psychedelic drugs, such as psilocybin or lysergic acid diethylamide (LSD), are sometimes followed by changes in patterns of tobacco, opioid, and alcohol consumption. But, the specific characteristics of psychedelic experiences that lead to changes in drug consumption are unknown.Objective: Determine whether quantitative descriptions of psychedelic experiences derived using Natural Language Processing (NLP) would allow us to predict who would quit or reduce using drugs following a psychedelic experience.Methods: We recruited 1141 individuals (247 female, 894 male) from online social media platforms who reported quitting or reducing using alcohol, cannabis, opioids, or stimulants following a psychedelic experience to provide a verbal narrative of the psychedelic experience they attributed as leading to their reduction in drug use. We used NLP to derive topic models that quantitatively described each participant's psychedelic experience narrative. We then used the vector descriptions of each participant's psychedelic experience narrative as input into three different supervised machine learning algorithms to predict long-term drug reduction outcomes.Results: We found that the topic models derived through NLP led to quantitative descriptions of participant narratives that differed across participants when grouped by the drug class quit as well as the long-term quit/reduction outcomes. Additionally, all three machine learning algorithms led to similar prediction accuracy (~65%, CI = ±0.21%) for long-term quit/reduction outcomes.Conclusions: Using machine learning to analyze written reports of psychedelic experiences may allow for accurate prediction of quit outcomes and what drug is quit or reduced within psychedelic therapy.

Ventricular remodeling in preterm infants: computational cardiac magnetic resonance atlasing shows significant early remodeling of the left ventricle.

BACKGROUND: Premature birth is associated with ventricular remodeling, early heart failure, and altered left ventricular (LV) response to physiological stress. Using computational cardiac magnetic resonance (CMR) imaging, we aimed to quantify preterm ventricular remodeling in the neonatal period, and explore contributory clinical factors. METHODS: Seventy-three CMR scans (34 preterm infants, 10 term controls) were performed to assess in-utero development and preterm ex-utero growth. End-diastolic computational atlases were created for both cardiac ventricles; t statistics, linear regression modeling, and principal component analysis (PCA) were used to describe the impact of prematurity and perinatal factors on ventricular volumetrics, ventricular geometry, myocardial mass, and wall thickness. RESULTS: All preterm neonates demonstrated greater weight-indexed LV mass and higher weight-indexed end-diastolic volume at term-corrected age (P < 0.05 for all preterm gestations). Independent associations of increased term-corrected age LV myocardial wall thickness were (false discovery rate <0.05): degree of prematurity, antenatal glucocorticoid administration, and requirement for >48 h postnatal respiratory support. PCA of LV geometry showed statistical differences between all preterm infants at term-corrected age and term controls. CONCLUSIONS: Computational CMR demonstrates that significant LV remodeling occurs soon after preterm delivery and is associated with definable clinical situations. This suggests that neonatal interventions could reduce long-term cardiac dysfunction.

Any reward will do: Effects of a reverse-reward contingency on size preference with pet dogs (Canis lupus familiaris).

The reverse-reward contingency (RRC) task involves presenting subjects with a choice between one plate containing a large amount of food and a second plate containing a small amount of food. Subjects are then required to select the smaller of the two options in order to receive the larger-magnitude reward. The RRC task is a commonly used paradigm for assessing complex cognition, such as inhibitory control, in subjects. To date, the RRC task has not been tested with pet dogs as subjects, and it may provide insights to their ability to perceive quantities of differing magnitudes. Nine dogs were tested in an RRC task involving three conditions. In Condition 1, plates of food were presented, and the dogs were allowed to consume their choice. In Condition 2, plates with different-sized symbols resembling the quantities of food in Condition 1 were presented, and dogs received food quantities of the same size as their choice (e.g., a larger-magnitude reward for selecting the plate with the larger shape). In Condition 3, the same plates were presented, but dogs received a reverse-sized quantity of food, relative to their choice (e.g., a smaller-magnitude reward for selecting the plate with the larger shape). A novel addition here to the traditional RRC task was the inclusion of a third, empty (control) plate that was present throughout all conditions, and no programmed consequences were provided when that plate was selected. Our results were consistent with the previous RRC literature: All dogs developed and maintained a preference for the larger stimulus option across conditions. The use of symbolic representations did not ameliorate performance on the RRC task. Applied implications are discussed.

Differences in Delay, but not Probability Discounting, in Current Smokers, E-cigarette Users, and Never Smokers.

Steeper delay discounting in substance abuse populations, compared to non-abusing populations, has been well-established in prior studies. Despite the growing interest in e-cigarettes as a novel and relatively understudied form of nicotine consumption, relatively little is known as to how e-cigarette users discount rewards compared to traditional cigarette smokers and never smokers. In the present study, we measured delay and probability discounting rates, as well as perceived risk inherent to a delayed reward, in current traditional cigarette smokers, e-cigarette users, and never smokers. We found that traditional cigarette smokers and e-cigarette users discounted delayed rewards at a similar rate-and both were steeper than never smokers. However, no differences were observed in probability discounting or in perceived risk inherent in reward delay.

Cardiovascular magnetic resonance of cardiac function and myocardial mass in preterm infants: a preliminary study of the impact of patent ductus arteriosus.

BACKGROUND: Many pathologies seen in the preterm population are associated with abnormal blood supply, yet robust evaluation of preterm cardiac function is scarce and consequently normative ranges in this population are limited. The aim of this study was to quantify and validate left ventricular dimension and function in preterm infants using cardiovascular magnetic resonance (CMR). An initial investigation of the impact of the common congenital defect patent ductus arteriosus (PDA) was then carried out. METHODS: Steady State Free Procession short axis stacks were acquired. Normative ranges of left ventricular end diastolic volume (EDV), stroke volume (SV), left ventricular output (LVO), ejection fraction (EF), left ventricular (LV) mass, wall thickness and fractional thickening were determined in "healthy" (control) neonates. Left ventricular parameters were then investigated in PDA infants. Unpaired student t-tests compared the 2 groups. Multiple linear regression analysis assessed impact of shunt volume in PDA infants, p-value ≤ 0.05 being significant. RESULTS: 29 control infants median (range) corrected gestational age at scan 34+6(31+1-39+3) weeks were scanned. EDV, SV, LVO, LV mass normalized by weight and EF were shown to decrease with increasing corrected gestational age (cGA) in controls. In 16 PDA infants (cGA 30+3(27+3-36+1) weeks) left ventricular dimension and output were significantly increased, yet there was no significant difference in ejection fraction and fractional thickening between the two groups. A significant association between shunt volume and increased left ventricular mass correcting for postnatal age and corrected gestational age existed. CONCLUSION: CMR assessment of left ventricular function has been validated in neonates, providing more robust normative ranges of left ventricular dimension and function in this population. Initial investigation of PDA infants would suggest that function is relatively maintained.

The Promises and Possibilities of Artificial Intelligence in the Delivery of Behavior Analytic Services.

Artificial intelligence (AI) has begun to affect nearly every aspect of our daily lives and nearly every industry and profession. Many readers of this journal likely work in one or more areas of behavioral health. For readers who work in behavioral health and who are interested in AI, the purpose of this article is to highlight the pervasiveness of AI research being conducted around many facets of behavioral health service delivery. To do this, we first provide a brief overview of some of the areas within AI and the types of problems each area of AI attempts to solve. We then outline the prototypical client journey in behavioral healthcare beginning with diagnosis/assessment and ending with intervention withdrawal or ongoing monitoring. Next, for each stage in the client journey, we highlight several areas that parallel existing behavior analytic practice where researchers have begun to use AI, often to improve the efficiency of service delivery or to learn new things that improve the effectiveness of behavioral health services. Finally, for those whose appetite has been whet for getting involved with AI, we close by describing three roles they might consider trying out and that parallel the three main domains of behavior analysis. These three roles are an AI tool designer (akin to EAB), AI tool implementer (akin to ABA), or AI tool supporter (akin to practice).

Starting the Conversation Around the Ethical Use of Artificial Intelligence in Applied Behavior Analysis.

Artificial intelligence (AI) is increasingly a part of our everyday lives. Though much AI work in healthcare has been outside of applied behavior analysis (ABA), researchers within ABA have begun to demonstrate many different ways that AI might improve the delivery of ABA services. Though AI offers many exciting advances, absent from the behavior analytic literature thus far is conversation around ethical considerations when developing, building, and deploying AI technologies. Further, though AI is already in the process of coming to ABA, it is unknown the extent to which behavior analytic practitioners are familiar (and comfortable) with the use of AI in ABA. The purpose of this article is twofold. First, to describe how existing ethical publications (e.g., BACB Code of Ethics) do and do not speak to the unique ethical concerns with deploying AI in everyday, ABA service delivery settings. Second, to raise questions for consideration that might inform future ethical guidelines when developing and using AI in ABA service delivery. In total, we hope this article sparks proactive dialog around the ethical use of AI in ABA before the field is required to have a reactionary conversation.

Neonatal cardiac MRI using prolonged balanced SSFP imaging at 3T with active frequency stabilization.

UNLABELLED: Cardiac MRI in neonates holds promise as a tool that can provide detailed functional information in this vulnerable group. However, their small size, rapid heart rate, and inability to breath-hold, pose particular challenges that require prolonged high-contrast and high-SNR methods. Balanced-steady state free precession (SSFP) offers high SNR efficiency and excellent contrast, but is vulnerable to off-resonance effects that cause banding artifacts. This is particularly problematic in the blood-pool, where off-resonance flow artifacts severely degrade image quality. METHODS: In this article, we explore active frequency stabilization, combined with image-based shimming, to achieve prolonged SSFP imaging free of banding artifacts. The method was tested using 2D multislice SSFP cine acquisitions on 18 preterm infants, and the functional measures derived were validated against phase-contrast flow assessment. RESULTS: Significant drifts in the resonant frequency (165 ± 23Hz) were observed during 10-min SSFP examinations. However, full short-axis stacks free of banding artifacts were achieved in 16 subjects with stabilization; the cardiac output obtained revealed a mean difference of 9.0 ± 8.5% compared to phase-contrast flow measurements. CONCLUSION: Active frequency stabilization has enabled the use of prolonged SSFP acquisitions for neonatal cardiac imaging at 3T. The findings presented could have broader implications for other applications using prolong SSFP acquisitions.

Assessment of PDA shunt and systemic blood flow in newborns using cardiac MRI.

Patent ductus arteriosus (PDA) remains common in preterm newborns, but uncertainty over optimal management is perpetuated by clinicians' inability to quantify its true haemodynamic impact. Our aim was to develop a technique to quantify ductal shunt volume and the effect of PDA on systemic blood flow volume in neonates. Phase contrast MRI sequences were optimized to quantify left ventricular output (LVO) and blood flow in the distal superior vena cava (SVC) (below the azygos vein insertion), descending aorta (DAo) and azygos vein. Total systemic flow was measured as SVC + DAo-azygos flow. Echo measures were included and correlated to shunt volumes. 75 infants with median (range) corrected gestation 33(+6) (26(+4) -38(+6) ) weeks were assessed. PDA was present in 15. In 60 infants without PDA, LVO matched total systemic flow (mean difference 2.06 ml/kg/min, repeatability index 13.2%). In PDA infants, ductal shunt volume was 7.9-74.2% of LVO. Multiple linear regression analysis correcting for gestational age showed that there was a significant association between ductal shunt volume and decreased upper and lower body flow (p = 0.01 and p < 0.001). However, upper body blood flow volumes were within the control group 95% confidence limits in all 15 infants with PDA, and lower body flow volumes within the control group limits in 12 infants with PDA. Echocardiographic assessment of reversed diastolic flow in the descending aorta had the strongest correlation with ductal shunt volume. We have demonstrated that quantification of shunt volume is feasible in neonates. In the presence of high volume ductal shunting the upper and lower body flow volume are somewhat reduced, but levels remain within or close to the normal range for preterm infants.

Identifying Trends in the Open-Access Behavior Analytic Literature via Computational Analyses (I): Simple Descriptions of Text.

Published research in scientific journals are critical resources for researchers as primary sources about: what is important in the field, the direction the field is headed, how the field relates to other sciences, and as a historical record for each of these. In this exploratory study, we analyzed the articles of five behavior analytic journals to identify trends in these areas. To do this, we downloaded all available articles (N = 10,405) since the inception of five behavior analytic journals and one control journal. We then used computational techniques to turn the collection of raw text into a structured dataset for descriptive, exploratory analyses. We found consistent differences in the length and variability of published research across behavior analytic journals compared to a control journal. We also found increasing article lengths over time which, combined with the previous finding, may highlight changing editorial contingencies that influence the writing behavior of researchers. Further, we found evidence suggesting distinct (though still connected) verbal communities between the experimental analysis of behavior and applied behavior analysis. Lastly, keyword trends suggest that increased focus on "functional analyses," "problem behavior," and "autism spectrum disorder" currently dominates the research being published in these journals similar to the practitioner arm of behavior analysis. Researchers interested in studying published behavior analytic textual stimuli will find the corresponding open dataset useful. And, for those interested in computational analyses of these data, this first pass at simple descriptions provides a launching point for much fruitful future research. Supplementary Information: The online version contains supplementary material available at 10.1007/s40616-022-00179-4.

Effects of economic context and reward amount on delay and probability discounting.

Steep delay and shallow probability discounting are associated with myriad problem behaviors; thus, it is important to understand factors that influence the degree of discounting. The present study evaluated the effects of economic context and reward amount on delay and probability discounting. Two hundred thirteen undergraduate psychology students completed four delay- or probability-discounting tasks. Participants were exposed to hypothetical narratives involving four bank amounts ($750, $12,000, $125,000, and $2,000,000). The delayed/probabilistic amount was $3,000 for the two smaller bank amounts and $500,000 for the two larger bank amounts. The discounting tasks included five delays to, or probabilities of, receipt of the larger amount. The area under the empirical discounting function was calculated for each participant. Participants discounted delayed and uncertain outcomes more when the bank amount was smaller than the outcome (i.e., the economic context was low). Participants discounted the delayed larger amounts less than delayed smaller amounts, even when the relative economic context was the same. In contrast, probability discounting did not differ across magnitudes, which suggests that economic context may attenuate the magnitude effect in probability discounting. The results further highlight the importance of considering the economic context in delay and probability discounting.

Efficacy of Edible and Leisure Reinforcers with Domestic Dogs.

Preference assessments are often used to identify stimuli that function as potential reinforcers for training or intervention purposes. Specifically, various preference assessment formats have been used to identify preferred stimuli for humans, cockroaches, cotton-top tamarins, tortoises, and wolves, to name a few. However, to date, no study has evaluated the differential efficacy between food and leisure stimuli within domestic dogs. The current study aimed to compare the reinforcing value and efficacy between food and leisure stimuli for domestic dogs by comparing rates of behavior when receiving access to either their top-preferred food or leisure items. Overall results suggest (1) domestic dogs prefer food over leisure items, and (2) food is more likely to function as a reinforcer than leisure items for domestic dog's behavior. These results suggest that dog owners and trainers should consider using food reinforcers over leisure items as reinforcers when attempting to train dogs.

Inotropes in preterm infants--evidence for and against.

There is significant uncertainty regarding the optimal circulatory management of preterm infants, with research in the field limited by the paucity of safe, reproducible biomarkers of circulatory function. This review discusses the physiology and pathophysiology of circulatory function in preterm infants, describes the mode of action and evidence for and against commonly used and recently trialled inotropic therapies and provides recommendations for managing circulatory dysfunction in the transitional period and in the context of sepsis/necrotizing enterocolitis. We recommend a pragmatic approach of assessing multiple aspects of circulatory function (blood pressure alone correlates weakly with volume of flow) in each infant, tailoring therapy on the basis of the change in function desired and frequently reassessing response to intervention.

Verbal behavior related to drug reinforcement in polysubstance cannabis users: Comparison across drugs.

Verbal reports of drug effects are often used in behavioral pharmacology. Two reports related to reinforcement are drug use (Harford, 1978; Liu et al., 2018) frequency and drug preference. Anecdotally, some individuals may specify a favorite/preferred drug (e.g., psilocybin) despite using another drug more frequently (e.g., tobacco). Research comparing these two measures has led to contradictory findings and included ratings from participants who may not have experience with the rated drugs. No comparisons have been made between use frequency and preference across multiple drugs in polysubstance users. To compare use frequency and preference for drug classes, and examine relations across drug classes, individuals reporting polysubstance use (N = 428) provided frequency and preference ratings for nine drug classes. Mean ratings showed smoked tobacco, alcohol, and cannabis were the most frequently used and most preferred drugs. Mean ratings showed 3,4-Methylenedioxymethamphetamine (MDMA) and classic hallucinogens were the least frequently used and least preferred drugs. However, more divergence between use frequency and preference was observed when these metrics were examined among individuals. Correlation coefficients between use frequency and preference were lower than previously published literature. The majority of polydrug comparisons were nonsignificant, and correlations between different drug classes differed depending on whether use frequency or preference was examined. Verbal reports about use frequency are likely not strongly predictive of verbal reports about the same drug preference. Clinicians and researchers should recognize that different verbal reports related to drug reinforcement might be proxies for distinct aspects of reinforcement and should consider these implications for assessment and research findings. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

What's the Big IDEA? A Preliminary Analysis of Behavior Analysts' Self-Reported Training in and Knowledge of Federal Special Education Law.

Many behavior analysts currently work in school settings or with individuals who may qualify for educational services through federal special education law. However, it remains unclear what training, if any, behavior analysts receive in this law. Behavior analysts have an ethical responsibility to practice within their scope of competency and in compliance with legal regulations. Thus, it is important to determine whether behavior analysts practicing in the United States are adequately prepared and familiar with federal special education law. The current study consisted of a survey wherein respondents answered questions pertaining to the relevance of federal special education law, their familiarity with core terminology, and the alignment between the law and the Professional and Ethical Compliance Code for Behavior Analysts (Behavior Analyst Certification Board, 2016). Respondents' self-report indicates that behavior analysts hold conflicting views on how federal special education law aligns with and influences their role as service providers. As such, practitioners and agencies alike may benefit from explicit clarification of the responsibility Board Certified Behavior Analysts have to seek training in and adhere to federal special education law.

Descriptive and normative ethical behavior appear to be functionally distinct.

Many philosophers and scientists have described a scientific approach to ethical behavior. Historically, ethical behavior has been categorized as descriptive (i.e., what is right) or normative (i.e., why it is right). Whether this topographical distinction is functionally relevant is unknown. In 2 experiments, participants chose what behavior was correct and why. In Experiment 1, participants did not agree on either of these measures. Normative ethical behaviors were also well described by common Western theories of bioethics (i.e., consequentialism, deontology, and virtue theory). In Experiment 2, manipulating the ethical context led to within-subject changes in responses to what, why, or both. Importantly, change in what rarely coincided with change in why, suggesting descriptive and normative ethical behaviors are functionally distinct. A visual-descriptive model describing a functional approach to descriptive and normative ethical behavior is provided. Behavior analysts interested in observing, measuring, and changing ethical decision-making should consider collecting data on descriptive and normative ethical behaviors.

Scaling N from 1 to 1,000,000: Application of the Generalized Matching Law to Big Data Contexts.

The generalized matching law (GML) has been used to describe the behavior of individual organisms in operant chambers, artificial environments, and nonlaboratory human settings. Most of these analyses have used a handful of participants to determine how well the GML describes choice in the experimental arrangement or how some experimental manipulation influences estimated matching parameters. Though the GML accounts very well for choice in a variety of contexts, the generality of the GML to all individuals in a population is unknown. That is, no known studies have used the GML to describe the individual behavior of all individuals in a population. This is likely because the data from every individual in the population has not historically been available or because time and computational constraints made population-level analyses prohibitive. In this study, we use open data on baseball pitches to provide an example of how big data methods can be combined with the GML to: (1) scale within-subjects designs to the population level; (2) track individual members of a population over time; (3) easily segment the population into subgroups for further analyses within and between groups; and (4) compare GML fits and estimated parameters to performance. These were accomplished for each of 2,374 individuals in a population using 8,467,473 observations of behavior-environment relationships spanning 11 years. In total, this study is a proof of concept for how behavior analysts can use data-science techniques to extend individual-level quantitative analyses of behavior to the population-level focused on domains of social relevance.

The Influence of Episodic Future Thinking and Graphic Warning Labels on Delay Discounting and Cigarette Demand.

Delay discounting and operant demand are two behavioral economic constructs that tend to covary, by degree, with cigarette smoking status. Given historically robust associations between adverse health outcomes of smoking, a strong preference for immediate reinforcement (measured with delay discounting), and excessive motivation to smoke cigarettes (measured with operant demand), researchers have made numerous attempts to attenuate the extent to which behaviors corresponding to these constructs acutely appear in smokers. One approach is episodic future thinking, which can reportedly increase the impact of future events on present decision making as well as reduce the reinforcing value of cigarettes. Graphic cigarette pack warning labels may also reduce smoking by increased future orientation. Experiment 1 evaluated the combined effects of episodic future thinking and graphic warning labels on delay discounting; Experiment 2 evaluated solely the effects of episodic future thinking on delay discounting and operant demand. We observed no statistically significant effects of episodic future thinking when combined with graphic warning labels or when assessed on its own. These results serve as a call for further research on the boundary conditions of experimental techniques reported to alter behaviors associated with cigarette smoking.