Randomized trial of parent-child interaction therapy improves child-welfare parents' behavior, self-regulation, and self-perceptions.

OBJECTIVE: We conducted a large (N = 204) randomized, clinical trial to test the efficacy of parent-child interaction therapy (PCIT) on observed parenting, two key drivers of maladaptive parenting-self-regulation and social cognitions, and child behavior outcomes in a sample of child welfare-involved families. METHOD: Participants were randomly assigned to standard PCIT (n = 120) or services-as-usual (SAU; n = 84). The sample was characterized by low household income, significant exposures to adverse childhood experiences, and substance abuse. Intention-to-treat analyses were conducted on multiply imputed data followed by secondary per-protocol analyses. RESULTS: Significant PCIT effects emerged on (a) increased positive parenting, reduced negative parenting and disruptive child behavior (small-to-medium intention-to-treat effects and medium-to-large per-protocol effects); (b) gains in parent inhibitory control on the stop-signal task (small-to-medium effects); (c) gains in parent-reported emotion regulation and (d) positive, affirming self-perceptions (small-to-medium effects), relative to the SAU control group. PCIT's effects on gains in parent emotion regulation were mediated by reductions in observed negative parenting. No differences in rates of parent commands or child compliance were observed across conditions. Harsh child attributions moderated treatment impact on parenting skills acquisition. PCIT parents who held harsher attributions displayed greater gains in use of labeled praises and declines in negative talk/criticism with their child, than control group parents. CONCLUSIONS: This randomized trial presents the first evidence that PCIT improves inhibitory control and emotion regulation in a child welfare parents and replicates other published trials documenting intervention gains in positive parenting and child behavior in child welfare families. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Striatal response to negative feedback in a stop signal task operates as a multi-value learning signal.

Background and aim: We examined error-driven learning in fMRI activity of 217 subjects in a stop signal task to obtain a more robust characterization of the relation between behavioral measures of learning and corresponding neural learning signals than previously possible. Methods: The stop signal task is a two-alternative forced choice in which participants respond to an arrow by pressing a left or right button but must inhibit that response on 1 in 7 trials when cued by an auditory "stop signal." We examined post-error learning by comparing brain activity (BOLD signal) and behavioral responses on trials preceded by successful (correct stop) vs. failed (failed stop) inhibition. Results: There was strong evidence of greater bilateral striatal activity in the period immediately following correct (vs. failed) stop trials (most evident in the putamen; peak MNI coordinates [-26 8 -2], 430 voxels, p < 0.001; [24 14 0], 527 voxels, p < 0.001). We measured median activity in the bilateral striatal cluster following every failed stop and correct stop trial and correlated it with learning signals for (a) probability and (b) latency of the stop signal. In a mixed-effects model predicting activity 5-10 s after the stop signal, both reaction time (RT) change (B = -0.05, t = 3.0, χ2 = 11.3, p < 0.001) and probability of stop trial change (B = 1.53, t = 6.0, χ2 = 43.0, p < 0.001) had significant within-subjects effects on median activity. In a similar mixed model predicting activity 1-5 s after the stop signal, only probability of stop trial change was predictive. Conclusions: A mixed-effects model indicates the striatal activity might be a learning signal that encodes reaction time change and the current expected probability of a stop trial occuring. This extends existing evidence that the striatum encodes a reward prediction error signal for learning within the stop signal task, and demonstrates for the first time that this signal seems to encode both change in stop signal probability and in stop signal delay.

Addressing stigma within the dissemination of research products to improve quality of care for pregnant and parenting people affected by substance use disorder.

Substance use disorders are a common and treatable condition among pregnant and parenting people. Social, self, and structural stigma experienced by this group represent a barrier to harm reduction, treatment utilization, and quality of care. We examine features of research dissemination that may generate or uphold stigmatization at every level for pregnant and parenting individuals affected by substance use disorder and their children. We explore stigma reduction practices within the research community that can increase uptake of evidence-based treatment programs and prevent potential harm related to substance use in pregnant and parenting people. The strategies we propose include: (1) address researcher stereotypes, prejudice, and misconceptions about pregnant and parenting people with substance use disorder; (2) engage in interdisciplinary and transdisciplinary collaborations that engage with researchers who have lived experience in substance use; (3) use community-based approaches and engage community partners, (4) address stigmatizing language in science communication; (5) provide contextualizing information about the social and environmental factors that influence substance use among pregnant and parenting people; and (6) advocate for stigma-reducing policies in research articles and other scholarly products.

Prepared and reactive inhibition in smokers and non-smokers.

INTRODUCTION: Models of addiction have identified deficits in inhibitory control, or the ability to inhibit inappropriate or unwanted behaviors, as one factor in the development and maintenance of addictive behaviors. Current literature supports disruption of the prefrontal circuits that mediate reactive inhibitory control processes (i.e., inhibition in response to sudden, unplanned changes in environmental demands) in substance use disorders. However, the relationship between disorders of addiction, such as nicotine dependence, and planned inhibitory processes (i.e., inhibition that occurs after advance warning) is unclear. The goal of the present study was to examine the extent to which reactive and planned inhibitory processes are differentially disrupted in nicotine dependent individuals. METHOD: We employed an internet-based novel stop signal task wherein participants were instructed to stop a continuous movement at either a predictable or unpredictable time. This task explicitly separated planned and reactive inhibitory processes and assessed group differences in task performance between smokers (N = 281) and non-smokers (N = 164). The smoker group was defined as any participant that identified as a smoker and reported an average daily nicotine consumption of at least 2 mg. The non-smoker group was defined as any participant that identified as a non-smoker and had not been a former smoker that quit within the last year. The smoker group also completed a questionnaire regarding smoking behaviors which included the Fägerstrom Test of Nicotine Dependence (FTND). We used these data to assess the continuous relation between planned stopping, unplanned stopping, and smoking behaviors. RESULTS: We found significant differences in stop times for both reactive and planned stopping between groups as well as within the smoker group. Additionally, in the smoker group, dependence as measured by the FTND was associated with longer stop times on planned stop trials. Surprisingly, greater daily average consumption of nicotine was related to faster stopping for both trial types. CONCLUSION: These results indicate the relevance of measuring both reactive and planned inhibitory processes for elucidating the relationship between nicotine addiction and mechanisms of inhibitory control.

Psychological Science in the Wake of COVID-19: Social, Methodological, and Metascientific Considerations.

The COVID-19 pandemic has extensively changed the state of psychological science from what research questions psychologists can ask to which methodologies psychologists can use to investigate them. In this article, we offer a perspective on how to optimize new research in the pandemic's wake. Because this pandemic is inherently a social phenomenon-an event that hinges on human-to-human contact-we focus on socially relevant subfields of psychology. We highlight specific psychological phenomena that have likely shifted as a result of the pandemic and discuss theoretical, methodological, and practical considerations of conducting research on these phenomena. After this discussion, we evaluate metascientific issues that have been amplified by the pandemic. We aim to demonstrate how theoretically grounded views on the COVID-19 pandemic can help make psychological science stronger-not weaker-in its wake.

Efficacy of a combined food-response inhibition and attention training for weight loss.

This Current Opinion in Behavioral Sciences article reviews trials that evaluated an obesity treatment that combines response-inhibition training with high-calorie foods and training designed to reduce attention for high-calorie foods. Two randomized controlled trials suggest that food-response inhibition and attention training produced significant body-fat loss, along with a reduction in valuation of, and reward-region response to, high-calorie foods. However, these effects did not emerge in a third trial, potentially because this trial used more heterogeneous food images, which reduced inhibition learning and attentional learning. Collectively, results suggest that food-response inhibition and attention training can devalue high-calorie foods and result in weight loss, but only if a homogeneous set of high-calorie and low-calorie food images is used.

A Multilab Replication of the Ego Depletion Effect.

There is an active debate regarding whether the ego depletion effect is real. A recent preregistered experiment with the Stroop task as the depleting task and the antisaccade task as the outcome task found a medium-level effect size. In the current research, we conducted a preregistered multilab replication of that experiment. Data from 12 labs across the globe (N = 1,775) revealed a small and significant ego depletion effect, d = 0.10. After excluding participants who might have responded randomly during the outcome task, the effect size increased to d = 0.16. By adding an informative, unbiased data point to the literature, our findings contribute to clarifying the existence, size, and generality of ego depletion.

Test-retest reliability of functional MRI food receipt, anticipated receipt, and picture tasks.

BACKGROUND: Functional MRI (fMRI) tasks are increasingly being used to advance knowledge of the etiology and maintenance of obesity and eating disorders. Thus, understanding the test-retest reliability of BOLD signal contrasts from these tasks is important. OBJECTIVES: To evaluate test-retest reliability of responses in reward-related brain regions to food receipt paradigms (palatable tastes, anticipated palatable tastes), food picture paradigms (high-calorie food pictures), a monetary reward paradigm (winning money and anticipating winning money), and a thin female model picture paradigm (thin female model pictures). METHOD: We conducted secondary univariate contrast-based analyses in data drawn from 4 repeated-measures fMRI studies. Participants (Study 1: N = 60, mean [M] age = 15.2 ± 1.1 y; Study 2: N = 109, M age = 15.1 ± 0.9 y; Study 3: N = 39, M age = 21.2 ± 3.7 y; Study 4: N = 62, M age = 29.7 ± 6.2 y) completed the same tasks over 3-wk to 3-y test-retest intervals. Studies 3 and 4 included participants with eating disorders and obesity, respectively. RESULTS: Test-retest reliability of the food receipt and food picture paradigms was poor, with average ICC values ranging from 0.07 to 0.20. The monetary reward paradigm and the thin female model picture paradigm also showed poor test-retest reliability: average ICC values 0.21 and 0.12, respectively. Although several regions demonstrated moderate to good test-retest reliability, these results did not replicate across studies using similar paradigms. In Studies 3 and 4, but not Study 1, test-retest reliability in visual processing regions was moderate to good when contrasting single conditions with a low-level baseline. CONCLUSIONS: Results underscore the importance of examining the temporal reliability of fMRI tasks and call for the development and use of well-validated standardized fMRI tasks in eating- and obesity-related studies that can provide more reliable measures of neural activation. The trials were registered at clinicaltrials.gov as NCT02084836, NCT01949636, NCT03261050, and NCT03375853.

So Useful as a Good Theory? The Practicality Crisis in (Social) Psychological Theory.

Practicality was a valued attribute of academic psychological theory during its initial decades, but usefulness has since faded in importance to the field. Theories are now evaluated mainly on their ability to account for decontextualized laboratory data and not their ability to help solve societal problems. With laudable exceptions in the clinical, intergroup, and health domains, most psychological theories have little relevance to people's everyday lives, poor accessibility to policymakers, or even applicability to the work of other academics who are better positioned to translate the theories to the practical realm. We refer to the lack of relevance, accessibility, and applicability of psychological theory to the rest of society as the practicality crisis. The practicality crisis harms the field in its ability to attract the next generation of scholars and maintain viability at the national level. We describe practical theory and illustrate its use in the field of self-regulation. Psychological theory is historically and scientifically well positioned to become useful should scholars in the field decide to value practicality. We offer a set of incentives to encourage the return of social psychology to the Lewinian vision of a useful science that speaks to pressing social issues.

Reducing mental health disparities by increasing the personal relevance of interventions.

One of the most persistent health disparities is the underutilization of mental health services by people of color. Neither evidence-based treatments (universal focus) nor culturally adapted treatments (group focus) have reduced these disparities. We propose the personal relevance of psychotherapy (PROP) model, which integrates universal, group, and individual dimensions to determine the personal relevance of interventions. A cultural example of personal relevance among people of East Asian ancestry involves "face" (i.e., one's prestige and position in society), which may moderate treatment outcomes. Pragmatic intervention approaches focused on helping individuals cope with specific external problems, compared to managing a "personal" disease, can effectively "restore" face. Thus, social problem-solving interventions may be more personally relevant to many people of East Asian ancestry than are approaches that are internally focused. In addition, we posit that social neuroscience can offer unique opportunities above and beyond self-report measures when assessing the impact of PROP and the personal relevance of interventions for diverse populations. Our preliminary evidence upon testing this hypothesis indicated that among Asian Americans, exposure to problem-solving therapy content elicited significantly greater neural activity in brain areas associated with personal relevance compared to exposure to cognitive-behavioral therapy content. Identifying personally relevant interventions has the potential to reduce mental health disparities by increasing engagement with mental health services for diverse groups. The increased client engagement produced by personally relevant interventions also has the potential to make mental health services more effective for diverse groups. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Neural Substrates of Food Valuation and Its Relationship With BMI and Healthy Eating in Higher BMI Individuals.

Considerable evidence points to a link between body mass index (BMI), eating behavior, and the brain's reward system. However, much of this research focuses on food cue reactivity without examining the subjective valuation process as a potential mechanism driving individual differences in BMI and eating behavior. The current pre-registered study (https://osf.io/n4c95/) examined the relationship between BMI, healthy eating, and subjective valuation of healthy and unhealthy foods in a community sample of individuals with higher BMI who intended to eat more healthily. Particularly, we examined: (1) alterations in neurocognitive measures of subjective valuation related to BMI and healthy eating; (2) differences in the neurocognitive valuation for healthy and unhealthy foods and their relation to BMI and healthy eating; (3) and whether we could conceptually replicate prior findings demonstrating differences in neural reactivity to palatable vs. plain foods. To this end, we scanned 105 participants with BMIs ranging from 23 to 42 using fMRI during a willingness-to-pay task that quantifies trial-by-trial valuation of 30 healthy and 30 unhealthy food items. We measured out of lab eating behavior via the Automated Self-Administered 24 H Dietary Assessment Tool, which allowed us to calculate a Healthy Eating Index (HEI). We found that our sample exhibited robust, positive linear relationships between self-reported value and neural responses in regions previously implicated in studies of subjective value, suggesting an intact valuation system. However, we found no relationship between valuation and BMI nor HEI, with Bayes Factor indicating moderate evidence for a null relationship. Separating the food types revealed that healthy eating, as measured by the HEI, was inversely related to subjective valuation of unhealthy foods. Imaging data further revealed a stronger linkage between valuation of healthy (compared to unhealthy) foods and corresponding response in the ventromedial prefrontal cortex (vmPFC), and that the interaction between healthy and unhealthy food valuation in this region is related to HEI. Finally, our results did not replicate reactivity differences demonstrated in prior work, likely due to differences in the mapping between food healthiness and palatability. Together, our findings point to disruptions in the valuation of unhealthy foods in the vmPFC as a potential mechanism influencing healthy eating.

Brain Activity Associated With Regulating Food Cravings Predicts Changes in Self-Reported Food Craving and Consumption Over Time.

Neural patterns associated with viewing energy-dense foods can predict changes in eating-related outcomes. However, most research on this topic is limited to one follow-up time point, and single outcome measures. The present study seeks to add to that literature by employing a more refined assessment of food craving and consumption outcomes along with a more detailed neurobiological model of behavior change over several time points. Here, a community sample of 88 individuals (age: M = 39.17, SD = 3.47; baseline BMI: M = 31.5, SD = 3.9, range 24-42) with higher body mass index (BMI) performed a food craving reactivity and regulation task while undergoing functional magnetic resonance imaging. At that time-and 1, 3, and 6 months later-participants reported craving for and consumption of healthy and unhealthy foods via the Food Craving Inventory (FCI) and ASA24 (N at 6 months = 52-55 depending on the measure). A priori hypotheses that brain activity associated with both viewing and regulating personally desired unhealthy, energy-dense foods would be associated with self-reported craving for and consumption of unhealthy foods at baseline were not supported by the data. Instead, regression models controlling for age, sex, and BMI demonstrated that brain activity across several regions measured while individuals were regulating their desires for unhealthy food was associated with the self-reported craving for and consumption of healthy food. The hypothesis that vmPFC activity would predict patterns of healthier eating was also not supported. Instead, linear mixed models controlling for baseline age and sex, as well as changes in BMI, revealed that more regulation-related activity in the dlPFC, dACC, IFG, and vmPFC at baseline predicted decreases in the craving for and consumption of healthy foods over the course of 6 months.

Multivariate neural signatures for health neuroscience: assessing spontaneous regulation during food choice.

Establishing links between neural systems and health can be challenging since there is not a one-to-one mapping between brain regions and psychological states. Building sensitive and specific predictive models of health-relevant constructs using multivariate activation patterns of brain activation is a promising new direction. We illustrate the potential of this approach by building two 'neural signatures' of food craving regulation (CR) using multivariate machine learning and, for comparison, a univariate contrast. We applied the signatures to two large validation samples of overweight adults who completed tasks measuring CR ability and valuation during food choice. Across these samples, the machine learning signature was more reliable. This signature decoded CR from food viewing and higher signature expression was associated with less craving. During food choice, expression of the regulation signature was stronger for unhealthy foods and inversely related to subjective value, indicating that participants engaged in CR despite never being instructed to control their cravings. Neural signatures thus have the potential to measure spontaneous engagement of mental processes in the absence of explicit instruction, affording greater ecological validity. We close by discussing the opportunities and challenges of this approach, emphasizing what machine learning tools bring to the field of health neuroscience.

Autonomy can support affect regulation during illness and in health.

The benefits of autonomy to self-regulation, health, and well-being are well established. However, relatively few studies have investigated how autonomy might influence affect regulation. In this commentary, we argue that autonomy is an important motivational factor that interacts with affect regulation and may be particularly relevant in health contexts, such as cancer, that can limit individual autonomy. We describe the relationship between autonomy and affect regulation and illustrate ways in which autonomy can be supported broadly as well as during various phases in the cancer trajectory.

Acute stress impairs children's sustained attention with increased vulnerability for children of mothers reporting higher parenting stress.

Despite evidence that acute stress impairs attention in adults, there has been minimal research in children. Here, the effects of acute stress on Go/No-go performance were examined in young children (M age = 5.41 years). Given the critical role of the parent-child relationship to children's self-regulatory development, the extent to which parenting stress predicts children's cognitive vulnerability to acute stress and autonomic reactivity was also investigated. A between-groups design (n = 58 stress, n = 26 control) was used with oversampling of the stressor-exposed children to examine individual differences. The Parenting Stress Index and subscales were employed as a measure of parenting stress. Acute stress impaired children's sustained attention, but not inhibitory control. Higher parenting stress was associated with vulnerability to attentional impairment. Parenting distress was also positively associated with sympathetic reactivity to acute stress, but neither sympathetic nor parasympathetic reactivity was associated with attentional impairment. A conceptual model of pathways through which repetitive acute stress may contribute to self-regulatory difficulties is presented, including the potential buffering role of caregivers.

Levers and barriers to success in the use of translational neuroscience for the prevention and treatment of mental health and promotion of well-being across the lifespan.

Neuroscientific tools and approaches such as neuroimaging, measures of neuroendocrine and psychoneuroimmune activity, and peripheral physiology are increasingly used in clinical science and health psychology research. We define translational neuroscience (TN) as a systematic, theory-driven approach that aims to develop and leverage basic and clinical neuroscientific knowledge to aid the development and optimization of clinical and public health interventions. There is considerable potential across basic and clinical science fields for this approach to provide insights into mental and physical health pathology that had previously been inaccessible. For example, TN might hold the potential to enhance diagnostic specificity, better recognize increased vulnerability in at-risk populations, and augment intervention efficacy. Despite this potential, there has been limited consideration of the advantages and limitations of such an approach. In this article, we articulate extant challenges in defining TN and propose a unifying conceptualization. We illustrate how TN can inform the application of neuroscientific tools to realistically guide clinical research and inform intervention design. We outline specific leverage points of the TN approach and barriers to progress. Ten principles of TN are presented to guide and shape the emerging field. We close by articulating ongoing issues facing TN research. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Comparing two neurocognitive models of self-control during dietary decisions.

Self-control is the process of favoring abstract, distal goals over concrete, proximal goals during decision-making and is an important factor in health and well-being. We directly compare two prominent neurocognitive models of human self-control with the goal of identifying which, if either, best describes behavioral and neural data of dietary decisions in a large sample of overweight and obese adults motivated to eat more healthfully. We extracted trial-by-trial estimates of neural activity during incentive-compatible choice from three brain regions implicated in self-control, dorsolateral prefrontal cortex, ventral striatum and ventromedial prefrontal cortex and assessed evidence for the dual-process and value-based choice models of self-control using multilevel modeling. Model comparison tests revealed that the value-based choice model outperformed the dual-process model and best fit the observed data. These results advance scientific knowledge of the neurobiological mechanisms underlying self-control-relevant decision-making and are consistent with a value-based choice model of self-control.

Predicting Exercise With a Personality Facet: Planfulness and Goal Achievement.

Establishing reliable predictors of health behavior is a goal of health psychology. A relevant insight from personality psychology is that facets can predict specific behaviors better than broad traits do. We hypothesized that we could predict physical activity with a facet of conscientiousness related to goal pursuit-planfulness. We measured the relationship between Planfulness Scale scores and physical activity in 282 individuals over a total of 20 weeks, using a piecewise latent growth curve model. We additionally tested whether planfulness uniquely relates to activity when compared with related constructs. Finally, ratings of participants' written goals were correlated with these personality traits and physical activity. We found that planfulness was positively associated with average visits to a recreational center, that planfulness explained unique variance in activity, and that planfulness correlated with the descriptiveness of written goals. We conclude that the Planfulness Scale is a valid measurement uniquely suited to predicting goal achievement.

Brief, computerized inhibitory control training to leverage adolescent neural plasticity: A pilot effectiveness trial.

Adolescence is a time of heightened neural plasticity. Many brain networks show protracted development through this period, such as those underlying inhibitory control (IC), a neurocognitive skill implicated in risk-taking and therefore relevant to public health. Although IC appears to be trainable in adults and young children, whether and how IC may be malleable during adolescence is not fully understood. In this pilot RCT, we tested the effects of a school-based IC training paradigm (versus active control) on IC performance and neural function in adolescents (N = 19) aged 15 to 17 recruited from a low-income school district. We also examined the extent to which training effects transferred to a nontrained IC task and real-world risk behavior, as well as potential moderation effects by early adversity exposure. Training altered brain function related to attention during IC preparation and implementation, though it did not alter IC performance in the training group compared to the control group. There was limited evidence of training transfer. Results have implications for translational neuroscience research in adolescents.