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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.

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).

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.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.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.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.

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.

With cases of COVID-19 still spreading in America, and vaccines still inaccessible or undesired by many, individual mitigation behaviors, such as mask-wearing, remain critical defenses against this deadly virus. This study assessed whether approach-versus-avoidance message framing and goal-orientation affect people's intentions to follow COVID-19 preventative procedures. N = 832 subjects were randomly assigned to view mitigation messaging with either approach or avoidance framing, and either self-protective or altruistic goal-orientation. We observed a significant effect of goal-orientation, such that altruistic (versus self-protective) goal-orientations in messaging lead to stronger intentions to follow mitigation procedures. No significant effect of approach or avoidance framing was found on intentions to follow mitigation procedures. These results suggest an immediate need to address the wording of our public health messages. Adjusting the framing of COVID-19 preventative communications to reflect altruistic goals might increase the effectiveness of communications to protect at-risk populations.

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.

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.

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 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 month, 3 months, 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.

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.

Personality traits such as conscientiousness and impulsivity correlate with temporal discounting, the degree to which individuals discount the value of future relative to present rewards. These variables have, in turn, been hypothesized to relate to income inequality in the United States. A key but untested assumption of this hypothesis is that the association among these variables is distinct across socioeconomic classes. The purpose of the present research is to test that assumption. N = 1,100 adults with annual income ranging from at or below the poverty line ($0-$20,000) to upper-middle class ($200,000+) completed personality measures and a measure of temporal discounting. The results of our preregistered analyses indicated a positive association of income with trait planfulness, and a negative association with trait impulsivity and one parameter of temporal discounting that captures a bias to prefer sooner rewards to a greater degree if they are delivered that day. Our results can inform psychological theories of inequality and a broader conversation about effective public policy.

Supplemental digital content is available in the text., Objective Studies have consistently shown that long-term meditation practice is associated with reduced pain, but the neural mechanisms by which long-term meditation practice reduces pain remain unclear. This study tested endogenous opioid involvement in meditation analgesia associated with long-term meditation practice. Methods Electrical pain was induced with randomized, double-blind, cross-over administration of the opioid antagonist naloxone (0.15-mg/kg bolus dose, then 0.2-mg/kg per hour infusion dose) with 32 healthy, experienced meditation practitioners and a standardized open monitoring meditation. Results Under saline, pain ratings were significantly lower during meditation (pain intensity: 6.41 ± 1.32; pain unpleasantness: 3.98 ± 2.17) than at baseline (pain intensity: 6.86 ±1.04, t(31) = 2.476, p = .019, Cohen's d = 0.46; pain unpleasantness: 4.96 ±1.75, t(31) = 3.746, p = .001, Cohen's d = 0.68), confirming the presence of meditation analgesia. Comparing saline and naloxone revealed significantly lower pain intensity (t(31) = 3.12, p = .004, d = 0.56), and pain unpleasantness (t(31) = 3.47, p = .002, d = 0.62), during meditation under naloxone (pain intensity: 5.53 ± 1.54; pain unpleasantness: 2.95 ± 1.88) than under saline (pain intensity: 6.41 ± 1.32; pain unpleasantness: 3.98 ± 2.17). Naloxone not only failed to eliminate meditation analgesia but also made meditation analgesia stronger. Conclusions Long-term meditation practice does not rely on endogenous opioids to reduce pain. Naloxone's blockade of opioid receptors enhanced meditation analgesia; pain ratings during meditation were significantly lower under naloxone than under saline. Possible biological mechanisms by which naloxone-induced opioid receptor blockade enhances meditation analgesia are discussed.

Substance use and addiction are disproportionately experienced by individuals with a history of exposure to early life stress (ELS), such as maltreatment, domestic violence and parent psychopathology. Unfortunately, extant interventions have mixed effectiveness at improving outcome trajectories for ELS-exposed children, who are often underserved by evidenced-based programs. Here, we employ a translational neuroscience framework to delineate how neuroscience can deepen our understanding of ELS-linked alterations in children's function to inform the development of more targeted, effective early intervention and addiction prevention programs. Candidate neural pathways altered by ELS and linked to addiction are described across sensory, affective, motivational, and executive function domains. Next, we provide an example of the application of translational neuroscience principles in a family of early interventions (i.e. Multidimensional Treatment Foster Care – Preschool, Kids in Transition to School) focused on improving self-regulation in ELS-exposed children. Future directions and areas of unmet need in intervention research detail the significant potential of translational neuroscience to advance interventionists' ability to support positive adjustment in ELS-exposed children and prevent harmful addiction outcomes. Keywords: Translational neuroscience, Prevention, Intervention, Adversity, Early life stress, Addiction

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 non-trained 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.

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.

Recently, there has been an increase in the number of human neuroimaging studies seeking to predict behavior above and beyond traditional measurements such as self-report. This trend has been particularly notable in the area of food consumption, as the percentage of people categorized as overweight or obese continues to rise. In this review, we argue that there is considerable utility in this form of health neuroscience, modeling the neural bases of eating behavior and dietary change in healthy community populations. Further, we propose a model and accompanying evidence indicating that several basic processes underlying eating behavior, particularly reactivity, regulation, and valuation, can be predictive of behavior change. We also discuss future directions for this work.

Following a key developmental task of childhood—building a foundation of self-knowledge in the form of domain-specific self-concepts—adolescents begin to explore their emerging identities in ways that foster autonomy and connectedness. Neuroimaging studies of self-related processes demonstrate enhanced engagement of the ventromedial prefrontal cortex in adolescence, which may facilitate and reflect the development of identity by integrating the value of potential actions and choices. Drawing from neuroeconomic and social cognitive accounts, we propose that motivated behavior during adolescence can be modeled by a general value-based decision-making process centered around value accumulation in the ventromedial prefrontal cortex. This approach advances models of adolescent neurodevelopment that focus on reward sensitivity and cognitive control by considering more diverse value inputs, including contributions of developing self- and identity-related processes. It also considers adolescent decision making and behavior from adolescents’ point of view rather than adults’ perspectives on what adolescents should value or how they should behave.

Traditional models of health behaviour focus on the roles of cognitive, personality and social-cognitive constructs (e.g. executive function, grit, self-efficacy), and give less attention to the process by which these constructs interact in the moment that a health-relevant choice is made. Health psychology needs a process-focused account of how various factors are integrated to produce the decisions that determine health behaviour.I present an integrative value-based choice model of health behaviour, which characterises the mechanism by which a variety of factors come together to determine behaviour. This model imports knowledge from research on behavioural economics and neuroscience about how choices are made to the study of health behaviour, and uses that knowledge to generate novel predictions about how to change health behaviour. I describe anomalies in value-based choice that can be exploited for health promotion, and review neuroimaging evidence about the involvement of midline dopamine structures in tracking and integrating value-related information during choice. I highlight how this knowledge can bring insights to health psychology using illustrative case of healthy eating.Value-based choice is a viable model for health behaviour and opens new avenues for mechanism-focused intervention.

Introduction: Text-message-based interventions hold great potential for intervention and are increasingly feasible, given advances in information technology.Aims: This pilot randomized controlled trial (RCT) aims to compare the efficacy of self-versus expert-authored content delivered via text-messaging for smoking cessation.Methods: Sixty-two participants aged 25–66 attended laboratory sessions pre- and post-30 days of text-messaging intervention. Participants were randomised to one of two experimental conditions – self-authorship (SA) only and SA with implementation intentions (SA+ii) – or active control. Participants composed 30–60 brief motivational cessation messages for use during their cessation attempt. SA+ii participants were further instructed to anticipate obstacles and form simple if-then plans to overcome them. Experimental groups received their self-authored texts during the intervention phase, whereas control participants received expert-authored messages.Results: Overall, smoking decreased as measured by change in exhaled carbon monoxide (CO), F(1,59) = 4.43, p = 0.04. The SA+ii group showed slightly greater CO reduction (M = 3.63, SD = 5.39) than control (M = 0.03, SD = 5.80; t(40) = 2.08, p = 0.04). SA alone (M = 1.97, SD = 9.30) was not more effective than control.Conclusions: SA does not appear to increase efficacy. However, this pilot supports prior research, indicating that text-based interventions can increase smoking cessation success and may decrease psychological symptoms of withdrawal. Much research is needed to identify ways to bolster intervention efficacy.

The goal of this article is to introduce readers to theories, tools, and evidence from the field of neuroeconomics and to describe how health psychology and neuroeconomics can be mutually informative in the study of preventative health behaviors. Preventative health behavior here refers to both individual actions that impact one's health (e.g., exercise) and broader behavioral patterns, such as those captured in personality constructs. Although neuroeconomic researchers have begun to incorporate health-relevant behaviors into their studies, the full potential of this research to inform preventative health models is as yet unrealized. What is needed to "translate up" is the unification of rich theoretical content from health psychology with investigations by neuroeconomic researchers of the decision-making process during health-relevant choices. We identify choice as a central, shared feature across models of preventative health behavior that can serve as an inroad for neuroeconomics to contribute to existing models and highlight commonalities that might not otherwise be apparent. A central premise of our argument is that, because health decisions are nearly always multiply determined, a more precise and mechanistic understanding of how choices are made is an important but understudied topic in health psychology. A partnership between health psychologists and neuroeconomic researchers can yield valuable insights into how preventative health choice is made and to identify targets and methods for intervention.

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.

There is an active debate regarding whether the ego depletion effect is real. A recent pre-registered 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 pre-registered a multi-lab collaborating project to replicate that experiment. Data from twelve labs across the globe (N = 1775) revealed a small but significant ego depletion effect, g = 0.12, CI95 = [0.02, 0.21]. The data also provided some evidence in support of a moderating effect of individual differences in lay theory about willpower, such that participants with an unlimited-resource theory evinced a weaker depletion effect. Finally, a series of auxiliary analyses provided important implications for future studies investigating the robustness of ego depletion, such that strictly controlled experimental settings and outcome tasks with medium difficulty might be better for observing a stronger depletion effect.

The ability to inhibit unwanted responses is critical for effective control of behavior, and inhibition failures can have disastrous consequences in real-world situations. Here, we examined how prior exposure to negative emotional stimuli affects the response-stopping network. Participants performed the stop-signal task, which relies on inhibitory control processes, after they viewed blocks of either negatively emotional or neutral images. In Experiment 1, we found that neural activity was reduced following negative image viewing. When participants were required to inhibit responding after neutral image viewing, we observed activation consistent with previous studies using the stop-signal task. However, when participants were required to inhibit responding after negative image viewing, we observed reductions in the activation of ventrolateral prefrontal cortex, dorsolateral prefrontal cortex, medial frontal cortex, and parietal cortex. Furthermore, analysis of neural connectivity during stop-signal task blocks indicated that across participants, emotion-induced changes in behavioral performance were associated with changes in functional connectivity, such that greater behavioral impairment after negative image viewing was associated with greater weakening of connectivity. In Experiment 2, we collected behavioral data from a larger sample of participants and found that stopping performance was impaired after negative image viewing, as seen in longer stop-signal reaction times. The present results demonstrate that negative emotional events can prospectively disrupt the neural network supporting response inhibition.

Relating to adolescent children can be challenging for parents, and yet children’s perceptions of positive parent–child relationships are protective against deleterious outcomes. Therefore, it is valuable to understand and explore strategies that can support positive parent–adolescent relationships during adolescence. The present study investigates the effects of mindfulness training on parents’ neural activity, children’s perceptions of the parent–child relationship, and the relationship between the two. As such, this design allowed us to investigate intervention-induced changes in the parent–child relationship. One parent per family (N = 18) completed a task measuring mindful awareness of breathing during functional magnetic resonance imaging before and after attending an 8-week Mindful Families Stress Reduction (MFSR) course with their early-adolescent children. Across the sample, parent neural activation from pre- to post-intervention increased in areas related to self-awareness and evaluation (precuneus, ventromedial prefrontal cortex), emotional awareness and interoception (mid-insula), and emotion regulation (lateral prefrontal cortex). Changes in parents’ activation in the left anterior insula/inferior frontal gyrus, an area often related to empathy and emotional processing/regulation, were specifically related to changes in children’s reports of the parent–child relationship. The neural regions showing an intervention effect overlapped to a significantly greater degree with emotion regulation-related than attention-related regions. These findings implicate parental empathy and emotion/regulation in children’s perceptions of the family relationship and suggest that parent emotion and/or emotion regulation is a potential mechanism by which mindful parenting interventions affect change.

The ways that people set, pursue, and eventually succeed or fail in accomplishing their goals are central issues for consulting psychology. Goals and behavior change have long been the subject of empirical investigation in psychology, and have been adopted with enthusiasm by the cognitive and social neurosciences in the last few decades. Though relatively new, neuroscientific discoveries have substantially furthered the scientific understanding of goals and behavior change. This article reviews the emerging brain science on goals and behavior change, with particular emphasis on its relevance to consulting psychology. I begin by articulating a framework that parses behavior change into two dimensions, one motivational (the will) and the other cognitive (the way). A notable feature of complex behaviors is that they typically require both. Accordingly, I review neuroscience studies on cognitive factors, such as executive function, and motivational factors, such as reward learning and self-relevance, that contribute to goal attainment. Each section concludes with a summary of the practical lessons learned from neuroscience that are relevant to consulting psychology.

The resource model of self-control casts self-control as a capacity that relies on some limited resource that exhausts with use. The model captured our imagination and brought much-needed attention on an important yet neglected psychological construct. Despite its success, basic issues with the model remain. Here, we ask six questions: (i) Does self-control really wane over time? (ii) Is ego depletion a form of mental fatigue? (iii) What is the resource that is depleted by ego depletion? (iv) How can changes in motivation, perception, and expectations replenish an exhausted resource? (v) Has the revised resource model unwittingly become a model about motivation? (vi) Do self-control exercises increase selfcontrol? By providing some answers to these questions – including conducting a meta-analysis of the self-control training literature – we highlight how the resource model needs to be revised if not supplanted altogether.

We argue that craving is an affective state per the definition offered in the target article, and as such the extended process model provides a strong theoretical framework to understand the self-r...

Roos and colleagues' commentary on our recent meta-analysis examining acute stress effects on executive functions is an important delineation of the limits of meta-analyses with heterogeneous outcomes. In this response, we wish to both clarify the inferences we feel are appropriate given the analyses and address the methodological concerns they raise. Additionally, we present new analyses that answer questions raised in their commentary. We first discuss the classification of a broad array of tasks that depend upon the same construct (e.g., inhibition) and note that this allows for inferences regarding the process that underpins all of those tasks, but this does not entail that all tasks dependent upon that construct will evidence the same effect of stress. Second, we argue that requiring that a study present a significant effect of stress on cortisol for inclusion in analyses is too stringent for a number of reasons (e.g., some studies using validated stressor paradigms correctly do not assay cortisol for budgetary reasons) and we present analyses showing that even when studies that did not present a cortisol response were removed, the initially observed effects still held. Finally, we address concerns raised regarding analyses of time-dependent effects by presenting new analyses that help to allay those concerns. In sum, we applaud Roos and colleagues' exortation for greater methodological and conceptual rigor in studies of stress and executive function, and the additional analyses prompted by their questions help to clarify observed effects and further the field of stress and executive function research.

Goal pursuit outcomes are partly caused by the way people think about goals. Specific patterns of thought can increase the likelihood of goal achievement, such as generating heuristics to automate goal-related decision making, orienting present-moment attention to the future to increase the salience of a distal goal, and contrasting the anticipated enjoyment of an achieved goal with the progress required to complete it. However, it is unknown whether there are stable individual differences in the tendency to deploy particular meta-cognitions during goal pursuit. A tool to assess such differences would help to identify and intervene on personal barriers to goal progress. Here, we define a new construct within the conscientiousness domain—planfulness—that captures a person’s proclivity to adopt efficient goal-related cognition in pursuit of their goals. We hypothesize that planfulness consists of three interrelated facets representing distinct mental processes, temporal orientation (TO), cognitive strategies (CS), and mental flexibility (MF), and that planfulness predicts goal achievement on an individual basis. We developed a 30-item Planfulness Scale with three subscales tested and refined across 5 studies and 10 samples (total unique N = 4,318) using iterative exploratory and confirmatory factor analysis on data collected from both student and on-line samples. The Planfulness Scale demonstrated both convergent and discriminant validity when compared to other measurements, and scale scores predicted goal progress in a longitudinal study. We find that planfulness is a useful new construct for self-regulation research, and the 30-item Planfulness Scale to be a valid and reliable measurement of real-world goal achievement.

Identifying environmental influences on inhibitory control (IC) may help promote positive behavioral and social adjustment. Although chronic stress is known to predict lower IC, the immediate effects of acute stress are unknown. The parasympathetic nervous system (PNS) may be a mechanism of the stress-IC link, given its psychophysiological regulatory role and connections to prefrontal brain regions critical to IC. We used a focused assessment of IC (the stop-signal task) to test whether an acute social stressor (the Trier Social Stress Test) affected participants’ pre- to post-IC performance (n = 58), compared to a control manipulation (n = 31). High frequency heart-rate variability was used as an index of PNS activity in response to the manipulation. Results indicated that stress impaired IC performance, blocking the practice effects observed in control participants. We also investigated the associations between PNS activity and IC; higher resting PNS activity predicted better pre-manipulation IC, and greater PNS stressor reactivity protected against the negative effects of stress on IC. Together, these results are the first to document the immediate effects of acute stress on IC and a phenotypic marker (PNS reactivity to stressors) of susceptibility to stress-induced IC impairment. This study suggests a new way to identify situations in which individuals are likely to exhibit IC vulnerability and related consequences such as impulsivity and risk taking behavior. Targeting PNS regulation may represent a novel target for IC-focused interventions.

We are grateful for the careful consideration, thoughtful comments, and insightful critiques that were provided in response to the target article (Berkman, Livingston, & Kahn, this issue). We are b...

Despite extensive research on inhibitory control (IC) and its neural systems, the questions of whether IC can be improved with training and how the associated neural systems change are understudied. Behavioral evidence suggests that performance on IC tasks improves with training but that these gains do not transfer to other tasks, and almost nothing is known about how activation in IC-related brain regions changes with training. Human participants were randomly assigned to receive IC training (N= 30) on an adaptive version of the stop-signal task (SST) or an active sham-training (N= 30) during 10 sessions across 3 weeks. Neural activation during the SST before and after training was assessed in both groups using functional magnetic resonance imaging. Performance on the SST improved significantly more in the training group than in the control group. The pattern of neuroimaging results was consistent with a proactive control model such that activity in key parts of the IC network shifted earlier in time within the trial, becoming associated with cues that anticipated the upcoming need for IC. Specifically, activity in the inferior frontal gyrus decreased during the implementation of control (i.e., stopping) and increased during cues that preceded the implementation of IC from pretraining to post-training. Also, steeper behavioral improvement in the training group correlated with activation increases during the cue phase and decreases during implementation in the dorsolateral prefrontal cortex. These results are the first to uncover the neural pathways for training-related improvements in IC and can explain previous null findings of IC training transfer.

A common emotion regulation strategy, cognitive reappraisal, involves altering the meaning of a situation so that the emotional response to the situation is changed. Most research on reappraisal has focused on down-regulation of negative emotion; few studies exist on reappraisal of positive affect, and even fewer have examined the cognitive reappraisal of craving for energy-dense (e.g., “junk”) foods. In the present study we examined this form of cognitive reappraisal using a new adaptation of a classic emotion regulation task. Subjects chose idiosyncratic categories of craved (and not craved) energy-dense foods as stimuli, and were instructed either to look at the stimulus or to reappraise it in a way that reduced desire to eat the depicted food using a strategy that could be used in the real world. A repeated-measures ANOVA and follow-up tests revealed that reappraisal significantly reduced self-reported desirability of both Craved and Not Craved foods, but for a greater degree in Craved foods. In addition, the degree to which subjects decreased their desire to consume Craved foods positively correlated with the cognitive restraint subscale of the Three-Factor Eating Questionnaire, a measure of self-control of eating in everyday life.

Adolescents with prenatal substance (drug and alcohol) exposure exhibit inhibitory control (IC) deficits and aberrations in associated neural function. Nearly all research to date examines exposure to individual substances, and a minimal amount is known about the effects of heterogeneous exposure-which is more representative of population exposure levels. Using functional magnetic resonance imaging (fMRI), we investigated IC (Go/NoGo) in heterogeneously exposed (n = 7) vs. control (n = 7) at-risk adolescents (ages 13-17). The fMRI results indicated multiple IC processing differences consistent with a more immature developmental profile for exposed adolescents (Exposed > Nonexposed: NoGo > Go: right ventrolateral prefrontal cortex, right cuneus, and left inferior parietal lobe; NoGo > false alarm: occipital lobe; Go > false alarm: right anterior prefrontal cortex). Simple effects suggest exposed adolescents exhibited exaggerated correct trial but decreased incorrect trial activation. Results provide initial evidence that prenatal exposure across substances creates similar patterns of atypical brain activation to IC success and failure.

In spite of extensive scientific knowledge about the neurobiological systems and neural pathways underlying addictions, only limited progress has been made to reduce the population-level incidence of addictions by using prevention and treatment programs. In this area of research the translation of basic neuroscience of causal mechanisms to effective interventions has not been fully realized. In this article we describe how an understanding of the effects of early adverse experiences on brain and biological development may provide new opportunities to achieve impact at scale with respect to reduction of addictions. We propose four categories of new knowledge that translational neuroscience investigations of addictions should incorporate to be successful. We then describe a translational neuroscience-informed smoking cessation intervention based on this model.

This chapter presents a model of self-control that explains many phenomena related to self-control including ego depletion. We propose that valuation—the process of integrating multiple sources of subjective value for a given choice option—is a mechanism of self-control. The conflict between a goal and an impulse or another goal is resolved by comparing the cumulative subjective value of the choice options. A given choice option can have an arbitrary number of value sources, and these sources can shift over time depending on situational or intrapersonal constraints. We review the behavioral economics literature on three anomalies in valuation that are directly relevant to self-control (endowment, delay discounting, and diminishing marginal utility) and explain how the properties of the valuation system explain the ego-depletion effect. We close by discussing ways to improve self-control through interventions that target its sources of value, notably including identity.

Can neural responses of a small group of individuals predict the behavior of large-scale populations? In this investigation, brain activations were recorded while smokers viewed three different television campaigns promoting the National Cancer Institute’s telephone hotline to help smokers quit (1-800-QUIT-NOW). The smokers also provided self-report predictions of the campaigns’ relative effectiveness. Population measures of the success of each campaign were computed by comparing call volume to 1-800-QUIT-NOW in the month before and the month after the launch of each campaign. This approach allowed us to directly compare the predictive value of self-reports with neural predictors of message effectiveness. Neural activity in a medial prefrontal region of interest, previously associated with individual behavior change, predicted the population response, whereas self-report judgments did not. This finding suggests a novel way of connecting neural signals to population responses that has not been previously demonstrated and provides information that may be difficult to obtain otherwise.

Keeping track of various amounts of social cognitive information, including people's mental states, traits, and relationships, is fundamental to navigating social interactions. However, to date, no research has examined which brain regions support variable amounts of social information processing (“social load”). We developed a social working memory paradigm to examine the brain networks sensitive to social load. Two networks showed linear increases in activation as a function of increasing social load: the medial frontoparietal regions implicated in social cognition and the lateral frontoparietal system implicated in nonsocial forms of working memory. Of these networks, only load-dependent medial frontoparietal activity was associated with individual differences in social cognitive ability (trait perspective-taking). Although past studies of nonsocial load have uniformly found medial frontoparietal activity decreases with increasing task demands, the current study demonstrates these regions do support increasing mental effort when such effort engages social cognition. Implications for the etiology of clinical disorders that implicate social functioning and potential interventions are discussed.

Over the last several decades there have been multiple shifts in the relative emphasis of mental processes versus behavior in psychological science, particularly in social psychology. Studies on one side of this behavior-mental process pendulum take behavioral measures (e.g. whether the participant will deliver shocks to another individual) as the primary outcome, and view mental processes as occurring in an unobservable black box; studies on the other side adopt mental processes (e.g. attitudes) as the primary outcome, and often do not assess relevant behaviors. From a broad perspective, this behavior-mental process pendulum has moved from the behavior side during the height of behaviorism in the 1960s, toward the mental process side in the 1980s and 1990s during the cognitive revolution (Miller, 2003). Despite the first years of the 21st century being heralded as the “Decade of Behavior” by the American Psychological Association, social psychology has maintained its focus on mental and neural processes with little evidence of a return to direct observation of behavior (Baumeister, Vohs, & Funder, 2007). The rise of social cognition and social cognitive neuroscience (Ochsner & Lieberman, 2001) has further emphasized a shift away from behavior and toward the empirical study of mental processes. The target article by Kievit and colleagues (this issue) represents a considerable refinement of theoretical and statistical models that can be used to link neural with mental processes. Combining insights from philosophy with methods from psychometrics has great potential to advance the theoretical sophistication of the field. While we applaud these innovations, we also believe one potential impact of their article is to push the social psychological pendulum even further in the direction of studies on mental processes. In this commentary, we explore the conceptual status of behavior in the models proposed in the target article with the goal of offering several ways to integrate behavior into these models. We also review recent studies by our group that provide the methodological tools to do so (one series on the relationship between response inhibition and smoking cessation, and another on how persuasion relates to health behavior change) and discuss theoretical and methodological considerations relevant to behavior in light of psychometric modeling.

Successful goal pursuit involves repeatedly engaging self-control against temptations or distractions that arise along the way. Laboratory studies have identified the brain systems recruited during isolated instances of self-control, and ecological studies have linked self-control capacity to goal outcomes. However, no study has identified the neural systems of everyday self-control during long-term goal pursuit. The present study integrated neuroimaging and experience-sampling methods to investigate the brain systems of successful self-control among smokers attempting to quit. A sample of 27 cigarette smokers completed a go/no-go task during functional magnetic resonance imaging before they attempted to quit smoking and then reported everyday self-control using experience sampling eight times daily for 3 weeks while they attempted to quit. Increased activation in right inferior frontal gyrus, pre-supplementary motor area, and basal ganglia regions of interest during response inhibition at baseline was associated with an attenuated association between cravings and subsequent smoking. These findings support the ecological validity of neurocognitive tasks as indices of everyday response inhibition.

Objective:The current study tested whether neural activity in response to messages designed to help smokers quit could predict smoking reduction, above and beyond self-report.Design:Using neural activity in an a priori region of interest (a subregion of medial prefrontal cortex [MPFC]), in response to ads designed to help smokers quit smoking, we prospectively predicted reductions in smoking in a community sample of smokers (N!28) who were attempting to quit smoking. Smoking was assessed via expired carbon monoxide (CO; a biological measure of recent smoking) at baseline and 1 month following exposure to professionally developed quitting ads.Results:A positive relationship was observed between activity in the MPFC region of interest and successful quitting (increased activity in MPFC was associated with a greater decrease in expired CO). Theaddition of neural activity to a model predicting changes in CO from self-reported intentions, self-efficacy, and ability to relate to the messages significantly improved model fit, doubling the variance explained (R self-report !.15,R self-report "neural activity ! .35,R change !.20).Conclusion:Neural activity is a useful complement to existing self-report measures. In this investigation, we extend prior work predicting behavior change based on neural activity in response to persuasive media to an important health domain and discuss potential psychological interpretations of the brain‐behavior link. Our results support a novel use of neuroimaging technology for understanding the psychology of behavior change and facilitating health promotion.