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Alcohol craving is an urge to consume alcohol that commonly precedes drinking; however, craving does not lead to drinking for all people under all circumstances. The current study measured the correlation between neural reactivity and alcohol cues as a risk, and purpose in daily life as a protective factor that may influence the link between alcohol craving and the subsequent amount of consumption.Observational study that correlated functional magnetic resonance imaging (fMRI) data on neural cue reactivity and ecological momentary assessments (EMA) on purpose in life and alcohol use.Two college campuses in the United States.A total of 54 college students (37 women, 16 men, and 1 other) recruited via campus-based groups from January 2019 to October 2020.Participants underwent fMRI while viewing images of alcohol; we examined activity within the ventral striatum, a key region of interest implicated in reward and craving. Participants then completed 28 days of EMA and answered questions about daily levels of purpose in life and alcohol use, including how much they craved and consumed alcohol.A significant three-way interaction indicated that greater alcohol cue reactivity within the ventral striatum was associated with heavier alcohol use following craving in daily life only when people were previously feeling a lower than usual sense of purpose. By contrast, individuals with heightened neural alcohol cue reactivity drank less in response to craving if they were feeling a stronger than their usual sense of purpose in the preceding moments (bNeural sensitivity to alcohol cues within the ventral striatum appears to be a potential risk for increased alcohol use in social drinkers, when people feel less purposeful. Enhancing daily levels of purpose in life may promote alcohol moderation among social drinkers who show relatively higher reactivity to alcohol cues.

Mindful attention is characterized by acknowledging the present experience as a transient mental event. Early stages of mindfulness practice may require greater neural effort for later efficiency. Early effort may self-regulate behavior and focalize the present, but this understanding lacks a computational explanation. Here we used network control theory as a model of how external control inputs—operationalizing effort—distribute changes in neural activity evoked during mindful attention across the white matter network. We hypothesized that individuals with greater network controllability, thereby efficiently distributing control inputs, effectively self-regulate behavior. We further hypothesized that brain regions that utilize greater control input exhibit shorter intrinsic timescales of neural activity. Shorter timescales characterize quickly discontinuing past processing to focalize the present. We tested these hypotheses in a randomized controlled study that primed participants to either mindfully respond or naturally react to alcohol cues during fMRI and administered text reminders and measurements of alcohol consumption during 4 wk postscan. We found that participants with greater network controllability moderated alcohol consumption. Mindful regulation of alcohol cues, compared to one’s own natural reactions, reduced craving, but craving did not differ from the baseline group. Mindful regulation of alcohol cues, compared to the natural reactions of the baseline group, involved more-effortful control of neural dynamics across cognitive control and attention subnetworks. This effort persisted in the natural reactions of the mindful group compared to the baseline group. More-effortful neural states had shorter timescales than less effortful states, offering an explanation for how mindful attention promotes being present.

Information sharing within social networks can catalyze widespread attitudinal and behavioral change and the chance to share information with others has been characterized as inherently valuable to people. But what are the sources of value and how might they be leveraged to promote sharing? We test ideas from the value-based virality model that the value of sharing increases when people perceive messages as more relevant to themselves and to people they know, resulting in stronger intentions to share. We extend this work by considering how sharing context-broadcasting to a wide audience or narrowcasting directly to someone-may alter these relationships. Six online studies with adults in the United States (N participants = 3,727; messages = 362; message ratings = 30,954) showed robust evidence that self and social relevance are positively and uniquely related to sharing intentions within- and between-person. Specification curve analysis showed these relationships were consistent across message content (COVID-19, voting, general health, climate change), medium (social media post and news articles), and sharing context (broad- and narrowcasting). A preregistered experiment showed that manipulating the self and social relevance of messages through a framing manipulation causally increased sharing intentions. These causal effects were mediated by changes in both self and social relevance, but the relative strength of the causal pathways differed depending on sharing context. These findings extend existing models of information sharing, and highlight self and social relevance as psychological mechanisms that motivate information sharing that can be targeted to promote sharing across contexts. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Previous theorizing suggests there are multiple means by which people regulate their emotions and impulses, but that these strategies vary in the degree to which they support goal attainment. Some have proposed that proactive strategies (e.g. situation selection, distraction) may be particularly effective, while interventive strategies (e.g. suppression) are less effective. Despite these diverging predictions, researchers have yet to examine spontaneous use of these strategies and their respective and combined efficacy when applied to momentary food desires experienced in daily life. In the present study, we assessed eating patterns for one week via ecological momentary assessment in college-aged women (N = 106). Results from pre-registered analyses indicated that using a variety of strategies, including preventative strategies such as situation selection and distraction, was associated with greater self-control success, as indexed by weaker desires, higher resistance, lower likelihood of enacting desires, and less food consumed. A similar pattern was observed when participants implemented additional strategies during desire episodes, which they were more likely to do when their desires conflicted with other self-regulatory goals. All associations were observed while controlling for momentary hunger levels, dieting status, age, and body mass index. These findings are consistent with a growing body of work assessing people’s spontaneous use of emotion regulation strategies in everyday contexts, suggesting potential meta-motivational tendencies marked by flexible and adaptive use of self-regulatory strategies.

Background and Objectives Social distancing, while effective in slowing the spread of the coronavirus disease 2019 (COVID-19), can increase social isolation. The current preregistered study examined purpose in life as a psychological resource that may buffer against loneliness and increase intentions to engage in health-protective behaviors. Research Design and Methods During the COVID-19 pandemic, 517 adults (mean = 37.71, SD = 11.30; range = 19–73) reported their levels of purpose in life, current and prepandemic levels of loneliness, and degrees to which they intended to engage in behaviors known to prevent the spread of COVID-19. Results Across age, having a stronger sense of purpose in life was associated with lower loneliness, as well as greater intentions to engage in COVID-protective behaviors. Higher loneliness was associated with lower intentions to maintain social distance and engage in additional health promotion behaviors such as handwashing. However, this link was not present at higher levels of purpose in life. Older age was also associated with less loneliness, but not for individuals with lower levels of purpose in life. Discussion and Implications Results suggest that psychological resources such as purpose in life are associated with increased protective health behaviors. Furthermore, purpose in life may reduce loneliness and counteract the negative effects of stressors that diminish the willingness to engage in health-protective behaviors. Our data also highlight resilience among older individuals in times of isolation during a global pandemic.

Humans are a fundamentally social species whose well-being depends on how we connect with and relate to one another. As such, scientific understanding of factors that promote health and well-being requires insight into causal factors present at multiple levels of analysis, ranging from brain networks that dynamically reconfigure across situations to social networks that allow behaviors to spread from person to person. The Social Health Impacts of Network Effects (SHINE) study takes a multilevel approach to investigate how interactions between the mind, brain, and community give rise to well-being. The SHINE protocol assesses multiple health and psychological variables, with particular emphasis on alcohol use, how alcohol-related behavior can be modified via self-regulation, and how thoughts, feelings, and behaviors unfold in the context of social networks. An overarching aim is to derive generalizable principles about relationships that promote well-being by applying multilayer mathematical models and explanatory approaches such as network control theory. The SHINE study includes data from 711 college students recruited from social groups at two universities in the northeastern United States of America, prior to and during the COVID-19 pandemic. Participants completed at least one of the following study components: baseline self-reported questionnaires and social network characterization, self-regulation intervention assignment (mindful attention or perspective taking), functional and structural neuroimaging, ecological momentary assessment, and longitudinal follow-ups including questionnaires and social network characterization. The SHINE dataset enables integration across modalities, levels of analysis, and timescales to understand young adults’ well-being and health-related decision making. Our goal is to further our understanding of how individuals can change their thoughts, feelings, and behaviors, and of how these changes unfold in the context of social networks.

Modifying behaviors, such as alcohol consumption, is difficult. Creating psychological distance between unhealthy triggers and one’s present experience can encourage change. Using two multisite, randomized experiments, we examine whether theory-driven strategies to create psychological distance—mindfulness and perspective taking—can change drinking behaviors among two samples of young adults without alcohol dependence via a 28-day smartphone intervention (Study 1, N = 108 participants, 5492 observations; Study 2, N=218 participants, 9994 observations). Study 2 presents a close replication with a fully remote delivery during the onset of the COVID-19 pandemic. During weeks when they received daily smartphone reminders, individuals in the psychological distance interventions drank less frequently than control weeks, and less than control participants. Intervention reminders reduced drinking frequency but did not impact amount. We find that smartphone-based mindfulness and perspective-taking interventions, aimed to create psychological distance, can change behavior. This approach requires frequent reminders, which can be delivered viasmartphones.

A key challenge for understanding human experience is to capture the interplay between biology, environment, and culture. Because these levels of analysis operate across temporal scales from milliseconds to years, multimodal techniques are needed to provide insight into their operation and interaction. Data from brain scanning (e.g., neuroimaging) and smartphones are increasingly combined to provide complementary insights into the neurobiological correlates of dynamic psychiatric phenotypes as they unfold in real-world settings. We review literature published in the last three years highlighting how scanners and smartphones can be combined to push forward our understanding of brain-behavior relationships in health and disease.

Mindfulness is characterized by attentiveness to the present experience with nonjudgmental awareness and acceptance. Practicing mindfulness alters brain function to support the executive regulation of thoughts, feelings, and behavior. While early stages of practice are thought to require greater "neural effort" for later efficiency, current evidence relies on circular definitions of effort based on functional activity magnitude. Here we used network control theory as a model of how external control inputs, which operationalize effort, can distribute changes in neural activity across the macro-scale structural brain network. Further, we inferred the intrinsic timescale of activity to operationalize present-centered activity as shorter momentary timescales that discontinue the past and update the present. To explain effects of mindful regulation on alcohol consumption, we applied these methods to a randomized controlled intervention study with resting-state and task fMRI data. The task primed participants to either mindfully respond or naturally react to alcohol cues. Mobile text interventions and measurements of alcohol consumption were administered using ecological momentary assessments during the subsequent 4 weeks. We hypothesized that neural states of mindfulness require greater effort to enact and sustain. This effort may support deautomatized habitual natural reactions, discontinued processing, and updated present-centered neural dynamics. We found that mindful regulation of alcohol cues, compared to the natural reactions of the benchmark group, involved more effortful control of neural dynamics across cognitive control and attention networks. This effort persisted in the natural reactions of the mindful group compared to the benchmark group. Using resting-state fMRI, we found that more effortful neural states tended to occur over shorter timescales than less effortful states. Our findings provide an explanation for how neural dynamics with altered effort and stability, such as mindful states, tend to center the present experience.

Objective: Alcohol is theorized to be motivated by desires to regulate negative affect and/or to enhance positive affect. We tested the association between momentary affect and alcohol use in the daily lives of college students, hypothesizing that alcohol use would be more likely to follow increases in positive affect and that alcohol use would not be strongly associated with negative affect. Method: Using two ecological momentary assessment (EMA) studies consisting of two prompts per day for 28 days, we used multilevel hurdle models to test for lagged associations between positive and negative affect and alcohol use. There were 108 participants (60.19%; mean age = 20.20, SD=1.69) in EMA study 1 and 268 participants (60.03%women, mean age = 20.22, SD=1.96) in EMA study 2. To provide context for the affect-alcohol associations, we collected data on whether participants drank alone or with others at each drinking occasion and the drinking motives of participants using the Drinking Motives Questionnaire. Results: Alcohol use was more likely to occur following increases in positive affect. No significant associations emerged between fluctuations in negative affect and alcohol use. This pattern of findings was observed across both ecological momentary assessment studies. The majority of alcohol use occurred in social contexts. Conclusions: College students who report primarily social and enhancement motives for drinking and who seldom drink alone are more likely to drink following increases in positive affect.

Adolescence is characterized as a period when relationships and experiences shift toward peers. The social reorientation model of adolescence posits this shift is driven by neurobiological changes that increase the salience of social information related to peer integration and acceptance. Although influential, this model has rarely been subjected to tests that could falsify it, or studied in longitudinal samples assessing within-person development. We focused on two phenomena that are highly salient and dynamic during adolescence—social status and self-perception—and examined longitudinal changes in neural responses during a self/other evaluation task. We expected status-related social information to uniquely increase across adolescence in social brain regions. Despite using hierarchical growth curve modeling with parcellated whole-brain data to increase power to detect developmental effects, we didn’t find evidence in support of this hypothesis. Social brain regions showed increased responsivity across adolescence, but this trajectory was not unique to status-related information. Additionally, brain regions associated with self-focused cognition showed heightened responses during self-evaluation in the transition to mid-adolescence, especially for status-related information. These results qualify existing models of adolescent social reorientation and highlight the multifaceted changes in self and social development that could be leveraged in novel ways to support adolescent health and well-being.

Previous theorizing suggests there are multiple means by which people regulate their emotions and impulses, but that these strategies vary in the degree to which they support goal attainment. Some have proposed that proactive strategies (e.g., situation selection, distraction) may be particularly effective, while interventive strategies (e.g., suppression) are less effective. Despite these diverging predictions, researchers have yet to examine spontaneous use of these strategies and their respective and combined efficacy when applied to momentary food desires experienced in daily life. In the present study, we assessed eating patterns for one week via ecological momentary assessment in college-aged women (N=103). Results from pre-registered analyses indicated that using a variety of strategies, including preventative strategies such as situation selection and distraction, was associated with greater self-control success, as indexed by weaker desires, higher resistance, lower likelihood of enacting desires, and less food consumed. A similar pattern was observed when participants implemented additional strategies during desire episodes. All associations were observed while controlling for momentary hunger levels, dieting status, age, and body mass index. These findings are consistent with a growing body of work assessing people’s spontaneous use of emotion regulation strategies in everyday contexts, suggesting potential meta-motivational tendencies marked by flexible and adaptive use of self-regulatory strategies.

Many challenges faced by humans require large-scale cooperation for communal benefits. We examined what motivates such cooperation in the context of social distancing and mask wearing to reduce the transmission intensity of the novel coronavirus (COVID-19). We hypothesized that collectivism, a cultural variable characterizing the extent that individuals see themselves in relation to others, contributes to people’s willingness to engage in these behaviors. Consistent with preregistered predictions, across three studies (n=2864), including a U.S. nationally representative sample, people’s collectivist orientation is positively associated with intentions, positive beliefs, norm perceptions, and policy support for the preventive behaviors. In separate analyses at the country level (n=69 countries), more collectivist countries demonstrated lower growth rate in both COVID-19 confirmed cases and deaths. Together, these studies demonstrate the positive role of collectivism at the individual- and country-level in reducing COVID-19 transmission, and highlight the need to consider culture in public health policies and communications.

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.

Highlights • Self-evaluation of social traits by adolescent girls elicited activation in midline brain regions. • Age and pubertal development were not related to neural activation during self-evaluation. • Higher vmPFC and pgACC activation were related to a higher probability of endorsing negative traits. • Higher activation in those regions was also related to a lower probability of endorsing positive traits., Early adolescence is marked by puberty, and is also a time of flux in self-perception. However, there is limited research on the neural correlates of self-evaluation in relation to pubertal development. The current study examined relationships between neural activation during self-evaluation of social traits and maturation (age and pubertal development) in a community sample of female adolescents. Participants (N = 143; age M = 11.65, range = 10.0–13.0) completed a functional MRI task in which they judged the self-descriptiveness of adjectives for prosocial, antisocial and social status-related traits. Pubertal development was based on self-report, and was also examined using morning salivary testosterone, dehydroepiandrosterone, and estradiol. Contrary to preregistered hypotheses, neither age nor pubertal development were related to neural activation during self-evaluation. We further examined whether activation in two regions-of-interest, the ventromedial prefrontal cortex (vmPFC) and perigenual anterior cingulate (pgACC), was associated with trial-level self-evaluative behavior. In line with preregistered hypotheses, higher vmPFC and pgACC activation during self-evaluation were both associated with a higher probability of endorsing negative adjectives, and a lower probability of endorsing positive adjectives. Future studies should examine neural trajectories of self-evaluation longitudinally, and investigate the predictive value of the neural correlates of self-evaluation for adolescent mental health.

Background: Despite recent studies linking pubertal processes to brain development, as well as research demonstrating the importance of both pubertal and neurodevelopmental processes for adolescent mental health, there is limited knowledge of the full pathways and mechanisms behind the emergence of mental illnesses such as depression and anxiety disorders in adolescence. The Transitions in Adolescent Girls (TAG) study aims to understand the complex relationships between pubertal development, brain structure and connectivity, the behavioral and neural correlates of social and self-perception processes, and adolescent mental health in female adolescents. Methods: The TAG study includes 174 female adolescents aged 10.0 to 13.0 years, recruited from the local community in Lane County, Oregon, USA. The participants, along with a parent/guardian, will complete three waves of assessment over the course of three years; the third wave is currently underway. Each wave includes collection of four saliva samples (one per week) and one hair sample for the assessment of hormone levels and immune factors; an MRI session including structural, diffusion, resting-state functional and task-based functional scans; the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS), a diagnostic interview on current and lifetime mental health; production of a short self-narrative video; and measurement of height, weight, and waist circumference. The functional MRI tasks include a self-evaluation paradigm and a self-disclosure paradigm. In addition, adolescents and their parents/guardians complete a number of surveys to report on the adolescent’s pubertal development, mental health, social environment and life events; adolescents also report on various indices of self-perception and social-emotional functioning. Discussion: The knowledge gained from this study will include developmental trajectories of pubertal, neurological, and social processes and their roles as mechanisms in predicting emergence of mental illness in female adolescents. This knowledge will help identify modifiable, developmentally specific risk factors as targets for early intervention and prevention efforts.Methods: The TAG study includes 174 girls aged 10.0 to 13.0 years, recruited from the local community in Lane County, Oregon, USA. The girls, along with a parent/guardian, will complete three waves of assessment over the course of three years; the second and third wave are currently underway. Each wave includes collection of four saliva samples (one per week) and one hair sample for the assessment of hormone levels and immune factors; an MRI session including structural, diffusion, resting-state functional and task-based functional scans; the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS), a diagnostic interview on current and lifetime mental health; production of a short self-narrative video; and measurement of height, weight, and waist circumference. The functional MRI tasks include a self-evaluation paradigm and a self-disclosure paradigm. In addition, adolescents and their parents/guardians complete a number of surveys to report on the adolescent’s pubertal development, mental health, social environment and life events; adolescents also report on various indices of self-perception and social-emotional functioning. Discussion: The knowledge gained from this study will include developmental trajectories of pubertal, neurological, and social processes and their roles as mechanisms in predicting emergence of mental illness in adolescent girls. This knowledge will help identify modifiable, developmentally specific risk factors as targets for early intervention and prevention efforts.

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.

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.

Early adolescence is a time of flux in self-concept and self-esteem, as well as when puberty takes place. However, there is limited research on the neural correlates of self-evaluation in relation to pubertal development. The current study aimed to examine how age and pubertal development associate with neural activation during self-evaluation in a community sample of girls, and if these associations depend on the type of evaluated trait. Participants (N=143; age 10.0-13.0) completed a functional MRI task in which they judged the self-descriptiveness of adjectives describing prosocial, antisocial and social status-related traits. Pubertal development was examined using the self-reported Pubertal Development Scale, and morning salivary testosterone, dehydroepiandrosterone, and estradiol. Contrary to preregistered hypotheses, age and pubertal development were not related to neural activation during self-evaluation. We also examined whether activation in two areas linked to self-referential processing, the ventromedial prefrontal cortex (vmPFC) and perigenual anterior cingulate (pgACC), could predict trial-level self-evaluative behaviour. In line with the preregistered hypothesis, higher vmPFC and pgACC activation during self-evaluation predicted more endorsement of negative items and less endorsement of positive items. Future studies should test longitudinal associations, as well as the predictive value of the neural correlates of self-evaluation for adolescent mental health.

Psychological health and well-being has important implications for individual and societal thriving. Research underscores the subjective nature of well-being, but how do individuals intuit this subjective sense of well-being in the moment? This preregistered study addresses this question by examining the neural correlates of self-evaluated psychological health and their dynamic relationship with trial-level evaluations. Participants (N = 105) completed a self-evaluation task and made judgments about three facets of psychological health and positive functioning—well-being, ill-being, and social connectedness. Consistent with preregistered hypotheses, self-evaluation elicited activity in the default mode network, and there was strong spatial overlap among constructs. Trial-level analyses assessed whether and how activity in a priori regions of interest—pgACC, vmPFC, and VS—were related to subjective evaluations. These regions explained additional variance in whether participants endorsed or rejected items but were differentially related to evaluations. Stronger activity in pgACC was associated with a higher probability of endorsement across constructs, whereas stronger activity in vmPFC was associated with a higher probability of endorsing ill-being items, but a lower probability of endorsing well-being and social items. These results add nuance to neurocognitive accounts of self-evaluation and extend our understanding of the neurobiological basis of subjective psychological health and well-being.