The purpose of our research is to understand why people succeed or fail in their goals. Success or failure is the outcome of “self-regulation,” or the process of guiding one’s actions toward the attainment of a goal. Self-regulation involves not only preventing goal-inconsistent actions (typically referred to as self-control), but also promoting goal-consistent responses. Because self-regulation requires focused effort during both brief moments and across a lifetime, our studies span time frames ranging from a few seconds to a few months. Further, because the psychological events involved in self-regulation can be investigated at multiple levels of analysis, we study the interactions among neural processes, subjective experiences, and behaviors in each time frame (see Figure 1, below). We believe that the best way to bridge levels of analysis is to combine the distinct strengths of several research methods. Therefore, our research approach integrates functional magnetic resonance imaging (fMRI) with cross-sectional and longitudinal survey methods and laboratory experiments.
A complete understanding of how and why people succeed and fail in their goals requires studies that employ several of these techniques within the same study. Beyond that, bringing these methods together can yield new insights that would have been unattainable in any one field alone. Our research program does exactly that by bringing together several levels of analysis theoretically, methodologically, and statistically. Figure 1 (above) displays our model for studying self-regulation at a range of time frames along the X-axis and using multiple levels of analysis along the Y-axis. The figure depicts where several of the studies described here fit into the conceptual space.
The overarching framework that guides the work in our lab is that self-regulation consists of two fundamental parts: one motivational (the will) and the other cognitive (the way). The will refers to the motivational and affective processes that drive goal pursuit such as approach motives, and the way refers to the suite of cognitive capacities and abilities that enable goal pursuit such as inhibitory control (see Figure 2, above). Neither part is sufficient on its own; both are necessary for effective self-regulation. The two main lines of research in our lab correspond to these parts. The central aim of these lines of work is to understand the psychological and neural processes that contribute to the outcomes of everyday goal pursuit, particularly health behavior change goals such as cigarette smoking cessation and healthful eating. Below is a discussion of selected previous and ongoing studies conducted in our lab that enable us to understand the will and the way of self-regulation at one or more time frames and at multiple levels of analysis.
The will: Motivational processes in self-regulation
Self-regulation is predicated upon a desire for behavior change. For example, the act of smoking a cigarette is only considered self-regulation failure when the desire to smoke the cigarette conflicts with a desire to stop smoking. There are many ways to conceptualize this example, but in a hierarchical view of goals (Carver & Scheier, 1998), smoking the cigarette is a lower-order goal and not smoking the cigarette is a higher-order goal. Which of the two is enacted depends in part on which goal is more desired, prioritized, or
important in the moment—in short, which is more valued. This is the central ideal behind the valuation model of self-control (Berkman & Inzlicht, in progress; see Figure 3, right). The valuation model is grounded in the insight from the fields of social neuroscience and neuroeconomics that decisions related to self-regulation such as choosing a larger-later reward in favor of a smaller-sooner reward are the result of a integrated value calculation that takes place in the ventromedial prefrontal cortex (vmPFC) and related mesolimbic dopamine regions such as the orbitofrontal cortex and the ventral striatum (Hare, Camerer, & Rangel, 2009; Kable & Glimcher, 2007). A total subjective value is calculated for each possible action in a situation, and the action with the greatest value is enacted. This model is similar to decision models from behavioral economics, where the term “utility” is used instead of value.
Our lab has investigated this in several ways. In one study, we found that monetary incentives can improve inhibitory control, and that this effect is mediated by interactions between lateral cortical regions and vmPFC (Kahn & Berkman, under review). This result is consistent with the idea that increasing the value of control improves it. We also found that only prevention acts, such as not smoking or resisting a temptation, cause self-regulatory fatigue (“ego depletion”, Baumeister et al., 1998); in contrast, promotion acts, such as exercise or goal striving, facilitate subsequent acts of self- regulation (Miller-Ziegler & Berkman, in progress). Our interpretation is that tangible progress toward a goal, which is more characteristic of goal-promotion than of prevention acts, increases the salience of the goal and reduces its perceived costs, both of which can increase its subjective value. In a third study, we found that inducing a minimal degree of social identity increases prosocial choices at the expense of individual gains in economic games (Berkman et al., 2015). Finally, we find that activity in the vmPFC among smokers while viewing quit-smoking messages predicts their subsequent behavior change during cessation (Falk et al., 2012; Livingston, Hill, Yee, & Berkman, in progress).
Together, these and other results converge on the idea that the degree of self-relevance of a goal is an important moderator of its efficacy (Falk et al., 2012; 2015; Falk, Berkman, Whalen & Lieberman, 2011; Livingston et al., in progress). Notably, the locus of self-relevance processing in the brain is highly overlapping with that of value (e.g., Northoff & Hayes, 2011; see Figure 4, left). Together, these results suggest that relevance to the self, or identity, might be an especially potent special source of value. The major theoretical contribution from our research on the will is articulated in the Identity-Value Model of Self-Regulation (Berkman, Livingston, & Kahn, under review), which is that goals that are seen as self-consistent are more likely to be achieved because they hold greater subjective value than other goals.
The way: Cognitive processes in self-regulation
Self-regulation also requires the cognitive and physical capacity to enact goal-directed behavior. The will alone is not sufficient—people also need to know the way to change behavior. Returning to the smoking cessation example: The smoker’s desire to quit might far outweigh his desire to smoke, but he won’t be able to stop smoking unless he has the physical ability and cognitive capacity to do so. Much of our work focuses on situations such as in smoking cessation, referred to as self-control conflicts, where a higher-order goal conflicts with a lower-order goal. Self-control is the ability to bias behavior in favor of the higher-order goal, often by deploying inhibitory control to reduce the influence of the lower-order goal on behavior. For example, one way that the smoker could resolve the self-control conflict between smoking and not smoking would be to use inhibitory control to reduce his craving for the cigarette or his impulse to reach for a pack. For the present purposes, we focus on our work on inhibitory control, but we have also studied other cognitive processes including attention (Calcott & Berkman, 2014; 2015) and working memory (Meyer et al., 2012).
Given its importance in self-control and self-regulation, we have conducted several studies aimed at understanding the basic cognitive neuroscience of inhibitory control. For example, it had been theorized but not proven that inhibitory control efforts across a number of response domains (e.g., motor, affect) draw upon a common resource. We provided evidence that the inferior frontal gyrus (IFG) is active during inhibitory control in each of the affective, behavioral, and cognitive domains (Cohen, Berkman, & Lieberman, 2012; Beauchamp, Kahn, & Berkman, under review). We also found that IFG activation measured in a baseline session predicts subsequent everyday self-control success such as resisting logging in to Facebook while studying (Johnson & Berkman, under review). Together, these studies suggest an important role for the IFG as a nexus for inhibitory control across domains and implicate the region as a possible target for intervention.
That various forms of inhibitory control share a common neural pathway suggests the hypothesis that training on one form of inhibitory control would alter the common pathway and then “spill over” into other forms of control (Berkman et al., 2009; Berkman, Graham, & Fisher, 2012). We conducted a longitudinal inhibitory control training study to examine the neural effects of this kind of training (Berkman, Kahn, & Merchant, 2014). We found that behavioral performance on our target measure improves with training, and, as performance improves over time, activation in IFG (and other regions) decreases and begins to peak slightly earlier in time within each trial (Figure 5, left). These data suggest that the IFG can be trained to respond to cues that are predictive of when stopping might be required, evincing a “proactive shift” to anticipate when inhibitory control is needed and engage earlier.
We have several studies that apply this basic research to understand and increase health behaviors. Much of this research focuses on inhibitory control related to cravings, or the appetitive drive to consume a stimulus, because cravings play a critical role in precipitating relapse (Berkman, Dickenson, Falk, & Lieberman, 2011; Giuliani & Berkman, 2015; Shiffman et al., 2004). For example, our research shows that the degree of activity in the IFG and related regions during inhibitory control at baseline predicts success during a smoking cessation attempt (Berkman, Falk, & Lieberman, 2011). In work led by Nicole Giuliani, a postdoctoral scholar in the lab, we developed a paradigm to study how people inhibit their cravings for energy-dense foods (Giuliani, Calcott, & Berkman, 2013) and to identify which neural regions are active during this kind of inhibitory control (Giuliani, Mann, Tomiyama, & Berkman, 2014; see Figure 6, right). A recent follow-up study using the “brain-as-predictor” approach that PI Berkman (Berkman & Falk, 2013) showed that the degree of activity in these regions is uniquely predictive of food craving and food intake during a two-week longitudinal experience sampling study (Giuliani, Tomiyama, Mann, & Berkman, 2015). The ultimate goals of this line of work are to identify the processes that are predictive of behavior change and to target them with intervention.
Broader impacts of our research
These lines of research on self-regulation have the potential to improve people’s lives for the better. We take two complementary approaches to making sure this research is applied for the greater good.
Most importantly, we include vulnerable and diverse populations in my research because these groups have the most to gain from evidence-based treatments. For example, early adversity impacts many neurocognitive systems including inhibitory control. Therefore, individuals who experienced high levels of early adversity, particularly children and adolescents, may be the most likely to benefit from interventions that precisely target those systems (Shonkoff et al., 2012). Our work increasingly adopts this translational neuroscience approach, which leverages neuroscientific knowledge about underlying systems and how they develop to target them with theory-based interventions.
We also strive to disseminate knowledge about self-regulation to general audiences. For example, PI Berkman regularly writes about research in our lab and related labs on his blog at Psychology Today, The Motivated Brain, and for other outlets. Students in the lab write “pop abstracts” on the lab blog and for The People’s Science to accompany their published papers and presentations.
Each of the ongoing studies in the lab fit broadly into one of the categories described above. Please contact us if you are interested in participating in our research!