Christopher N. Cascio

Self-affirmation alters the brain’s response to health messages and subsequent behavior change

Significance Self-affirmation is a psychological technique that is effective in increasing receptivity to interventions across domains from promoting health behaviors in high-risk populations to improving academic performance in underrepresented groups. The neural mechanisms that lead to affirmation’s success, however, are not known. We show that neural responses associated with self-related processing and value in response to an otherwise-threatening health communication intervention can be changed using self-affirmation; furthermore, these neural responses predict objectively measured behavior change in the month following the intervention. These findings suggest that self-affirmation may exert its effects by allowing at-risk individuals to see the self-relevance and value in otherwise-threatening messages and provide a framework for studying neural effects of self-affirmation more broadly. Health communications can be an effective way to increase positive health behaviors and decrease negative health behaviors; however, those at highest risk are often most defensive and least open to such messages. For example, increasing physical activity among sedentary individuals affects a wide range of important mental and physical health outcomes, but has proven a challenging task. Affirming core values (i.e., self-affirmation) before message exposure is a psychological technique that can increase the effectiveness of a wide range of interventions in health and other domains; however, the neural mechanisms of affirmation’s effects have not been studied. We used functional magnetic resonance imaging (fMRI) to examine neural processes associated with affirmation effects during exposure to potentially threatening health messages. We focused on an a priori defined region of interest (ROI) in ventromedial prefrontal cortex (VMPFC), a brain region selected for its association with self-related processing and positive valuation. Consistent with our hypotheses, those in the self-affirmation condition produced more activity in VMPFC during exposure to health messages and went on to increase their objectively measured activity levels more. These findings suggest that affirmation of core values may exert its effects by allowing at-risk individuals to see the self-relevance and value in otherwise-threatening messages.

Buffering social influence: Neural correlates of response inhibition predict driving safety in the presence of a peer

Adolescence is a period characterized by increased sensitivity to social cues, as well as increased risk-taking in the presence of peers. For example, automobile crashes are the leading cause of death for adolescents, and driving with peers increases the risk of a fatal crash. Growing evidence points to an interaction between neural systems implicated in cognitive control and social and emotional context in predicting adolescent risk. We tested such a relationship in recently licensed teen drivers. Participants completed an fMRI session in which neural activity was measured during a response inhibition task, followed by a separate driving simulator session 1 week later. Participants drove alone and with a peer who was randomly assigned to express risk-promoting or risk-averse social norms. The experimentally manipulated social context during the simulated drive moderated the relationship between individual differences in neural activity in the hypothesized cognitive control network (right inferior frontal gyrus, BG) and risk-taking in the driving context a week later. Increased activity in the response inhibition network was not associated with risk-taking in the presence of a risky peer but was significantly predictive of safer driving in the presence of a cautious peer, above and beyond self-reported susceptibility to peer pressure. Individual differences in recruitment of the response inhibition network may allow those with stronger inhibitory control to override risky tendencies when in the presence of cautious peers. This relationship between social context and individual differences in brain function expands our understanding of neural systems involved in top–down cognitive control during adolescent development.

Neural Correlates of Susceptibility to Group Opinions in Online Word-of-Mouth Recommendations

The present study examines the relationship between social influence and recommendation decisions among adolescents in the new media environment. Participants completed the App Recommendation Task—a task that captures neural processes associated with making recommendations to others, with and without information about peer recommendations of the type commonly available online. The results demonstrate that increased activity in the striatum and orbitofrontal cortex in response to peer recommendations is significantly correlated with participants changing their recommendations to be consistent with this feedback within subjects. Furthermore, individual differences in activation of the temporoparietal junction during feedback that peer recommendations varied from those of the participant correlated with individual differences in susceptibility to influence on recommendation decisions between subjects. These brain regions have previously been implicated in social influence and the concept of being a “successful idea salesperson,” respectively. Together, they highlight a potential combination of internal preference shifts and consideration of the mental states of others in recommendation environments that include peer opinions.

Neural Prediction of Communication-Relevant Outcomes

Understanding the mechanisms of effective communication may be advanced by knowledge from social and cognitive neuroscience. We build on prior brain research that mapped mental processes, and describe a brain-as-predictor approach that encompasses studies that treat measures of brain activity in response to communication relevant tasks as: 1) mediators between communication relevant stimuli and outcomes, 2) moderators of the relationship between communication relevant stimuli and outcomes or 3) direct predictors of communication relevant outcomes. In this article, we give a detailed description of the brain-as-predictor approach and provide a guide and checklist for interested authors, reviewers and editors. We discuss how the approach can provide theoretical insights and advance practical applications in communication research. Given its potential for advancing theory and practice, we argue that the brain-as-predictor approach can complement other communication research methods and serve as a valuable addition to the communication science toolbox.

Brain connectivity dynamics during social interaction reflect social network structure

Significance We examine brain dynamics during a common social experience—social exclusion—to determine whether cohesive networks in the brain support navigation of the social world and contribute to the shape of friendship networks. Specifically, exclusion is associated with increased cohesion within brain networks that support understanding what other people think and feel. Furthermore, using social network analysis, we find that variability in brain dynamics is associated with the shape of participants’ friendship networks. Bringing together findings related to brain network dynamics and social network dynamics illuminates ways that psychological processes may shape and be shaped by social environments. Social ties are crucial for humans. Disruption of ties through social exclusion has a marked effect on our thoughts and feelings; however, such effects can be tempered by broader social network resources. Here, we use fMRI data acquired from 80 male adolescents to investigate how social exclusion modulates functional connectivity within and across brain networks involved in social pain and understanding the mental states of others (i.e., mentalizing). Furthermore, using objectively logged friendship network data, we examine how individual variability in brain reactivity to social exclusion relates to the density of participants’ friendship networks, an important aspect of social network structure. We find increased connectivity within a set of regions previously identified as a mentalizing system during exclusion relative to inclusion. These results are consistent across the regions of interest as well as a whole-brain analysis. Next, examining how social network characteristics are associated with task-based connectivity dynamics, we find that participants who showed greater changes in connectivity within the mentalizing system when socially excluded by peers had less dense friendship networks. This work provides insight to understand how distributed brain systems respond to social and emotional challenges and how such brain dynamics might vary based on broader social network characteristics.

Health Communications: Predicting Behavior Change from the Brain

Health communications are intended to motivate the public to engage in healthier lifestyle choices. Why some messages succeed while others fail, however, remains a difficult question to answer. Traditional methods used to predict behavior change rely heavily on participants’ self-reports. However, participants may be limited in their ability to discern which communications are likely to move them toward change. Neuroimaging offers a method to explore the underlying neural processes that occur during health message exposure, in real-time, without imposing additional cognitive tasks (e.g., assessing one’s evaluation of the message). This chapter explores the utility of using neuroimaging in tandem with other methodologies (e.g., self-report, behavioral observation) to enhance our understanding of conscious and unconscious mechanisms that promote the effectiveness of health communications. We begin examining how neuroscience contributes to current understanding of health communication, examine health-relevant studies in the emerging field of communication neuroscience, and then discuss future directions.

Self-affirmation activates brain systems associated with self-related processing and reward and is reinforced by future orientation

Self-affirmation theory posits that people are motivated to maintain a positive self-view and that threats to perceived self-competence are met with resistance. When threatened, self-affirmations can restore self-competence by allowing individuals to reflect on sources of self-worth, such as core values. Many questions exist, however, about the underlying mechanisms associated with self-affirmation. We examined the neural mechanisms of self-affirmation with a task developed for use in a functional magnetic resonance imaging environment. Results of a region of interest analysis demonstrated that participants who were affirmed (compared with unaffirmed participants) showed increased activity in key regions of the brains self-processing (medial prefrontal cortex + posterior cingulate cortex) and valuation (ventral striatum + ventral medial prefrontal cortex) systems when reflecting on future-oriented core values (compared with everyday activities). Furthermore, this neural activity went on to predict changes in sedentary behavior consistent with successful affirmation in response to a separate physical activity intervention. These results highlight neural processes associated with successful self-affirmation, and further suggest that key pathways may be amplified in conjunction with prospection.

Social influence and the brain: persuasion, susceptibility to influence and retransmission

Social influence is an important topic of research, with a particularly long history in the social sciences. Recently, social influence has also become a topic of interest among neuroscientists. The aim of this review is to highlight current research that has examined neural systems associated with social influence, from the perspective of being influenced as well as influencing others, and highlight studies that link neural mechanisms with real-world behavior change beyond the laboratory. Although many of the studies reviewed focus on localizing brain regions implicated in influence within the lab, we argue that approaches that account for networks of brain regions and that integrate neural data with data beyond the laboratory are likely to be most fruitful in understanding influence.

Neural bases of recommendations differ according to social network structure

Abstract Ideas spread across social networks, but not everyone is equally positioned to be a successful recommender. Do individuals with more opportunities to connect otherwise unconnected others—high information brokers—use their brains differently than low information brokers when making recommendations? We test the hypothesis that those with more opportunities for information brokerage may use brain systems implicated in considering the thoughts, perspectives, and mental states of others (i.e. ‘mentalizing’) more when spreading ideas. We used social network analysis to quantify individuals’ opportunities for information brokerage. This served as a predictor of activity within meta-analytically defined neural regions associated with mentalizing (dorsomedial prefrontal cortex, temporal parietal junction, medial prefrontal cortex, /posterior cingulate cortex, middle temporal gyrus) as participants received feedback about peer opinions of mobile game apps. Higher information brokers exhibited more activity in this mentalizing network when receiving divergent peer feedback and updating their recommendation. These data support the idea that those in different network positions may use their brains differently to perform social tasks. Different social network positions might provide more opportunities to engage specific psychological processes. Or those who tend to engage such processes more may place themselves in systematically different network positions. These data highlight the value of integrating levels of analysis, from brain networks to social networks.

Global brain dynamics during social exclusion predict subsequent behavioral conformity

Abstract Individuals react differently to social experiences; for example, people who are more sensitive to negative social experiences, such as being excluded, may be more likely to adapt their behavior to fit in with others. We examined whether functional brain connectivity during social exclusion in the fMRI scanner can be used to predict subsequent conformity to peer norms. Adolescent males (n = 57) completed a two-part study on teen driving risk: a social exclusion task (Cyberball) during an fMRI session and a subsequent driving simulator session in which they drove alone and in the presence of a peer who expressed risk-averse or risk-accepting driving norms. We computed the difference in functional connectivity between social exclusion and social inclusion from each node in the brain to nodes in two brain networks, one previously associated with mentalizing (medial prefrontal cortex, temporoparietal junction, precuneus, temporal poles) and another with social pain (dorsal anterior cingulate cortex, anterior insula). Using predictive modeling, this measure of global connectivity during exclusion predicted the extent of conformity to peer pressure during driving in the subsequent experimental session. These findings extend our understanding of how global neural dynamics guide social behavior, revealing functional network activity that captures individual differences.