Over the past two decades, there has been a growing interest in the use of meditation to improve cognitive performance, emotional balance, and well-being. As a consequence, research into the psychological effects and neural mechanisms of meditation has been accumulating. Whether and how meditation affects decision making is not yet clear. Here, we review evidence from behavioral and neuroimaging studies and summarize the effects of meditation on social and non-social economic decision making. Research suggests that meditation modulates brain activities associated with cognitive control, emotion regulation and empathy, and leads to improved non-social and social decision making. Accordingly, we propose an integrative model in which cognitive control, emotional regulation, and empathic concern mediate the effects of meditation on decision making. This model provides insights into the mechanisms by which meditation affects the decision making process. More evidence is needed to test our explanatory model and to explore the function of specific brain areas and their interactive effects on decision making during meditation training.
If we are to make peace in the world, we must first make peace in ourselves.
—The Dalai Lama
There is a growing body of evidence suggesting that interventions including regular physical exercise (Scully et al., 1998; Hassmén et al., 2000), cognitive behavior therapy (Beck, 1993), and ancient contemplative practices (Rice, 2001; Astin et al., 2003; Hill et al., 2006) leads to a range of positive psychological outcomes such as improved cognitive performance, enhanced emotional regulation, and even plasticity-related alterations in the brain. In particular, one type of contemplative practice, meditation, has attracted wide attention from both psychologists and neuroscientists over the past two decades due to a growing appreciation for its ability to affect cognition, emotion, and decision making.
There are various definitions of meditation depending on what main interventions are emphasized. In general, meditation is defined as a broad variety of practices designed to cultivate emotional balance and psychological well-being, including relaxation, the observation of one’s own inner or outer experiences, and the intentional self-regulation of attention (Lutz et al., 2008b; Slagter et al., 2011; Awasthi, 2012). There are many forms of meditation practice such as mindfulness meditation, concentrative meditation, transcendental meditation, Buddhist meditation, and others (Cahn and Polich, 2006; Travis and Shear, 2010). In the current review, for the most part we focus on the literature regarding mindfulness meditation, and sometimes also compassion meditation and loving-kindness meditation. Mindfulness meditation refers to a broad range of practices based on promoting a non-judgmental and non-reactive state of awareness that may improve one’s ability to modify automatic behaviors in the long run (Kabat-Zinn, 2003). Compassion meditation focuses one’s awareness mainly on alleviating the suffering of all other sentient beings, and the central point of loving-kindness meditation is a loving and kind concern for the well-being of oneself and others (Hofmann et al., 2011). Among all types of meditation, these three types are most common and most studied in research on meditation and human decision making (Chambers et al., 2008; Hofmann et al., 2011; Chiesa et al., 2013).
Evidence from behavioral studies has provided support for potential applications of meditation. In particular, a 3-month meditation retreat has been found to be associated with decreased variability in attentional processing of target tones, suggesting improved sustained attention (Lutz et al., 2009b). Also, in a 10-day program in mindfulness meditation, individuals showed decreased reaction time on an internal switching task and better performance in the Digit Span Backward subscale, suggesting a greater capacity for sustained attention, working memory, and executive function (Chambers et al., 2008). From other perspectives, researchers also found that compassion-focused meditation may increase happiness as well as decrease worry and emotional suppression (Jazaieri et al., 2014), and general meditation training may reduce emotional interference from unpleasant pictures (Ortner et al., 2007).
Notably, previous research mainly illustrates the impacts of meditation on basic emotions and cognitive functions such as attention, memory, and executive function. Beyond emotion and cognition, individuals also need to make decisions in situations involving complex social interactions (Sanfey, 2007). Decision making can be regarded as the thought processes during which a judgment or course of action is identified and selected from several alternative possibilities based on one’s values and preferences (Rilling and Sanfey, 2011). The process of decision-making is often characterized by a competition between reflection and intuition. Based on existing literature (Fehr and Camerer, 2007; Sanfey, 2007; Rilling and Sanfey, 2011), we divide decision making into non-social and social categories. Non-social decision-making research focuses on individual decisions that are made purely based on one’s own beliefs, values, and preferences, whereas research on social decision making focuses on interactive decisions that are made based on the concomitant choices and preferences of others (Fehr and Camerer, 2007; Sanfey, 2007; Rilling and Sanfey, 2011). It is not known, however, whether meditation-related experience can facilitate non-social and social decision making.
We postulate that the effects of meditation may not be limited to those aspects of cognition and emotion that are prerequisites of high-level decision making, but can also extend to decision-making processes. In particular, recent evidence has suggested that meditation may play a role in reducing economic decision biases, and enhancing the empathy, compassion, and altruism involved in social decisions (Birnie et al., 2010; Leiberg et al., 2011; Klimecki et al., 2012). Also, clinical evidence has demonstrated that meditation can be a useful tool to reduce substance abuse, alcohol addiction, and the craving to smoke (Breslin et al., 2002; Zgierska et al., 2009; Fernandez et al., 2010; Westbrook et al., 2013). These disorders are associated with impulsive behaviors (e.g., taking risks) and suboptimal decision making (Keng et al., 2011; Sedlmeier et al., 2012; Carim-Todd et al., 2013). The aforementioned behavioral findings have indicated a potential role of meditation on improving decision making in both social and non-social conditions.
As neuroimaging techniques advance, it becomes possible to study changes in the brain that occur long-term meditation. Several recent studies have provided evidence of meditation-dependent cortical plasticity, demonstrating that, compared to non-mediators, long-term meditators show long-lasting changes in the brain, such as increased cortical thickness in the prefrontal cortex and right anterior insula, greater gray matter concentration in the right insula, and increased gray matter density in the brain stem (Lazar et al., 2005; Hölzel et al., 2008; Vestergaard-Poulsen et al., 2009). Beyond brain variations, researchers also have observed increased neural activity during meditation in the dorsolateral prefrontal cortex (DLPFC), parietal cortex, hippocampus and para-hippocampus, temporal lobe, striatum, and anterior cingulate cortex (ACC) during meditation, suggesting a crucial role of meditation in cognitive control, memory processing, conflict monitoring, and reward processing (Lazar et al., 2000). Taken together, these findings have provided further neural evidence for meditation which may influence decision making via changes in the brain regions involved in reward processing, cognitive control, and emotion management.
Both behavioral and neuroimaging studies have provided new insights into the psychological function of meditation on decision making. However, no systematic review has yet integrated the evidence of these psychological effects and underlying mechanisms of meditation on decision making. In business, decision making is one of the central activities of management and is critically important for the implementation of ideas (Simon, 1987). For individuals, families and organizations making good decisions can lead to happiness (Hsee et al., 2008) and greater achievement (Shen et al., 2015). Ineffective decisions may lead to regret (Coricelli et al., 2007; Van Dijk and Zeelenberg, 2007), pain (Frantsve and Kerns, 2007) and even mental disorders (Goudriaan et al., 2005). Thus, it is of great significance to systematically review the potential effects of meditation on decision making and the neural mechanisms of these effects.
Here, we limit our review to published, peer-reviewed and empirical studies that assessed psychological outcomes of meditation on decision making. In particular, we focus on mindfulness, loving-kindness, and compassion meditation techniques, and review their influences on non-social economic and social decision making. The literature search was performed using the main keywords “mindfulness meditation,” “loving-kindness meditation,” “compassion meditation” from the electronic databases Google scholar, PubMed, Springer, ProQuest, PsycINFO, and Elsevier. We chose these databases because they include almost the whole literature related to mental health, medicine, psychology, and neuroscience. Next, we further restricted our keywords to “decision making,” “decisions,” or specific topics such as “decision bias,” “gambling,” “prosocial,” or “altruism.” Beyond articles from the main database, we also carefully identified citations from the chosen articles. Our review was restricted to English-language journal articles over the past two decades (1995–2015). There were 55 studies that met our criteria when searching with these keywords. Of these, we included only original research with a control group and a specific technique of meditation. Case studies, correlation studies, original research without control group, and any reviews or abstracts were excluded. In total, 13 studies were included in this review. We aim to (1) summarize the psychological effects of meditation on social and non-social decision making based on selected literature, (2) discuss the psychological and neural mechanisms of meditation with regard to how they impact the decision process, and (3) address major challenges encountered and directions for future studies. We hope that our review will provide some novel ideas for future research on the application of meditation to improve personal judgments, decision making, organizational behavior, and management.
The Effects of Meditation on Non-Social Economic Decision Making
In the domain of non-social decision making, most researchers have utilized paradigms developed in game theory and behavioral economics to investigate economic preferences and decision biases in both personal and interactive situations (e.g., reward anticipation, risk taking, compulsive gambling, decision biases; Lakey et al., 2007a; Kiken and Shook, 2011; Kirk et al., 2011; Leiberg et al., 2011; Hafenbrack et al., 2014). One prominent dual-process theory has been proposed by Kahneman and Frederick (2002) to explain personal judgments and decision bias. They argued that mental processes are divided into two distinct categories based on whether they operate automatically or in a controlled, intentional fashion. Generally, decision biases are induced by instantiating controlling difficulties or emotional interference. Here, we review studies investigating the influence of mindfulness meditation on non-social decision-making processes including risk taking, impulsive gambling, negativity bias, and sunk cost bias (see Table 1).TABLE 1
TABLE 1. Summary of studies of meditation on decision making.
In general, risk-taking refers to a tendency to engage in behaviors that can be harmful or dangerous, but which meanwhile create an opportunity for positive outcomes. In particular of the economic domain, risk-taking is defined as a disposition to gamble after loss, increased preoccupation with gambling, enhanced necessity to take risks, and more restlessness when losing money (Winters et al., 2002). Such decision-making deficits are generally reflected in gambling tasks like the Georgia Gambling Task (GGT), which measures overconfidence and willingness to take risks (Goodie, 2003), and the Iowa Gambling Task (IGT) which assesses risk preference in relation to uncertainty, reward, and penalties (Bechara et al., 1994; Lakey et al., 2007b). Using both the GGT and the IGT with a large sample of college students (N = 309), Lakey et al. (2007a) explored the influence of trait mindfulness on risk-taking behavior. They found that increased dispositional mindfulness predicted a reduced severity of gambling outcomes and increased adaptability of decision making. Alfonso et al. (2011) first investigated the effects of meditation on risk taking among 18 abstinent polysubstance abusers (who were considered to have clinically significant deficit in executive function and decision making). These authors also found a significant beneficial effect of mindfulness meditation on response inhibition and risky decision making, suggesting a potential role of meditation for improving impulsive gambling inhibition, decision-making dysfunction, and addiction treatment.
People are highly susceptible to judgment and decision biases (Weng et al., 2013). Negativity bias is the tendency to weigh negative information, events, or emotions more heavily than the positive (Rozin and Royzman, 2001). This bias may be related to threating signals or habitual responses (Rozin and Royzman, 2001; Kiken and Shook, 2011). Using a 15-min instructional mindfulness breathing exercise, one study among 175 college students demonstrated that meditation can decrease negativity bias (η2pηp2 = 0.023) and increase positive judgments in an attitude formation task (Kiken and Shook, 2011). Another study of 102 undergraduate students revealed that a standardized 10-min instruction in a mindful breathing meditation can weaken thoughts that emphasize negativity (η2pηp2 = 0.86) (Kiken and Shook, 2014). The findings suggest that meditation interventions can significantly reduce negativity by precluding habitual reactions toward negative ratings or stimuli.
Sunk cost bias, also known as the sunk cost fallacy, is a tendency to continue to pursue a failing endeavor once an investment in money, effort, or time has been made (Maréchal, 2010). People often report falling victim to the sunk cost bias, even though they know that continuing is not the best choice. This bias may be related to the escalation of commitment, entrapment, anticipated regret, and loss aversion (Brockner et al., 1986; Brockner, 1992; Tversky and Kahneman, 1992; Wong and Kwong, 2007). Recently, Hafenbrack et al. (2014) investigated the short-term effects of mindfulness meditation on sunk cost biases and found that mindfulness meditation can modulate one’s temporal focus away from the future and past, and reduce negative affect, thereby decreasing the strength of the sunk cost bias (φ = 0.35).
From the above findings, we conclude that meditation-related experience can reduce impulsivity, pathological gambling, and decision biases in non-social decision making. These effects indicate a modulating role of meditation during decision making by controlling risky responses, precluding habitual actions, regulating temporal focus, and reducing negative emotions.
The Effects of Meditation on Social Decision Making
The behavioral studies mentioned above mainly addressed irrational decisions or decision biases in non-social situations. Whether or not meditation can influence social decision making remains unclear. Here, we describe several of the most relevant studies on this topic, in which mindfulness meditation, loving-kindness meditation, and compassion meditation have been examined in terms of their effects on social decisions, such as assessments of fairness, altruism, prosocial responses, and prosocial behavior.
Assessing the fairness of a social interaction is an important aspect of prosocial behavior. Sensitivity to fairness is generally studied using the ultimatum game. In this game, two people, a proposer and a responder, are involved. The responder decides whether or not to accept or reject offers from the proposer to split a pot of money (either evenly or unevenly). If the responder accepts, both players gain accordingly. If the responder rejects the offer, neither person is paid (Crockett et al., 2010). Using an ultimatum game, it has been found that individuals who meditate are more willing to accept unfair offers compared to non-meditators. At the neural level, control participants exhibit greater activation in the anterior insula during unfair offers. Meditators display attenuated activity of the anterior insula for high-level emotional representations and increased activity of the posterior insula for low-level internal representations. This suggests that a different network of brain regions is involved among meditators to untangle negative emotional reactions (Kirk et al., 2011). Researchers also found that loving kindness meditation practitioners show less anger, less punishment, and more compensation of victims in response to fairness violations compared to controls, and this may result from the enhanced kindness to victims and cultivation of altruism with compassion meditation (McCall et al., 2014). Based on these studies, we suggest that meditation experience can help to regulate negative emotions or cultivate compassion during social decision making, leading to the acceptance of more unfair offers.
Altruism represents a motivational state to benefit others (Schwartz, 1977). Using 8-min loving-kindness meditation training, researchers have explored the effect of meditation on altruistic behavior in a dictator game. In these games, one person (the “dictator”) can unilaterally allocate any part of a given resource to others without worrying about reprisal. In one study, participants typically show empathic concern and prosocial orientation toward their counterparts (η2pηp2 = 0.08), and these feelings were fully mediated by positive feelings toward others (η2pηp2 = 0.17; Reb et al., 2010). Meditation experience was shown to promote more altruistic behavior (giving more of the resource to the counterpart), which is mainly modulated by the positive emotions generated during the training.
Using a redistribution task combined with neuroimaging techniques, Weng et al. (2013) investigated the neural mechanisms underlying the effects of short-term compassion meditation on altruistic behavior. During this task, participants observed a virtual circumstance in which a victim received unfair treatment. Participants could then choose to spend any amount of their own money to redistribute funds to the victim. Compared to the control group, compassion meditators were found to give more of their funds to victims (η2pηp2 = 0.65), and this behavior was associated with altered activation in brain regions associated with social cognition and emotion regulation, including the inferior parietal cortex, DLPFC, and its connectivity with the nucleus accumbens. Such studies suggest that greater altruistic behavior may be elicited by increasing engagement of the neural systems associated with understanding the suffering of others, executive control, and reward processing.
In line with this, recent research has also investigated the effects of meditation on more general prosocial behavior, which covers a wide range of actions that benefit others, such as cooperation, helping, and sharing (Batson and Powell, 2003). In one study, Leiberg et al. (2011) instructed participants to navigate a virtual character through a maze to reach a treasure in a limited amount of time. This task limited the influence of reciprocity, cost, and distress, but allowed for the repeated assessment of prosocial behavior. Results demonstrated that subjects with compassion meditation training compared to those who received memory skills training showed more prosocial behavior (η2pηp2 = 0.21). Additionally, the effectiveness of compassion training was further promoted by increasing positive mood and compassionate feelings and by decreasing negative mood (η2pηp2 = 0.30). From such studies, we can conclude that even short-term compassion training can have a positive impact on prosocial behavior toward strangers, which relies on emotion regulation. These findings suggest one pathway by which meditation may promote prosocial behavior.
Beyond these laboratory studies, a recent study used more ecologically valid methods to investigate the effect of meditation on empathy with real-time interpersonal interactions (Condon et al., 2013). Prosocial responses were measured by whether a participant offered his or her seat to an individual with a physical disability. Results revealed that participants who had taken an 8-week course on meditation were more likely to offer up their seats than those on a waiting-list control group (φ = 0.36), indicating increased altruistic behavior in a real-life situation following a meditation intervention.
Furthermore, researchers have also explored the impact of mediation on implicit and explicit biases. Using an Implicit Association Test (IAT), Kang et al. (2014) found a significant decrease of implicit biases toward Blacks and homeless people with a 6-week loving-kindness practice. They suggested that loving-kindness meditation can automatically activate implicit attitudes toward different stigmatized social groups via the increase of cognitive control and decrease of psychological stress. Another study demonstrated a significant decrease of age and racial biases (both effect size: η2pηp2 = 0.06) among participants who listened to a 10-min mindfulness recording relative to those who listened to a natural history. They suggested that the significant reduction of implicit biases was induced by automatic associations between mindfulness and biases (Lueke and Gibson, 2014).
In summary, the studies presented above suggest a consistent positive effect of both short- and long-term meditation on altruism, prosocial behavior, moral decision making, and intergroup bias. Meditation may facilitate such decision making by modulating executive control, reward processing, emotion regulation, and/or empathic concern involved in the decision process.
The Mechanisms of Meditation and Their Effects on Decision Making
Overall, the research presented above suggests that meditation interventions can promote good decision making, reduce decision bias, and improve altruistic and prosocial behaviors. Next, we introduce one unifying theoretical framework for the effects of meditation on decision making (see Figure 1). Our proposed model is based on dual-process theory, in which automatic (or intuitive) and deliberate (or reflective) processes are considered to be two separate components of decision making. This theory is widely accepted by researchers to explain decision-making processes and the relationship between cognition, emotion, and decision making. Here, we extend the dual-process model to explain the effects of meditation on non-social economic and social behaviors and the mechanisms of those effects. We additionally consider the mediating role of empathy in social decision making based on the two studies discussed above (Leiberg et al., 2011; Weng et al., 2013).FIGURE 1
FIGURE 1. A model for the effects of meditation on decision making. Meditation modulates brain activities associated with cognitive control, emotion regulation and empathy, and lead to improved non-social and social decision making. Our proposed model is a combination of existed behavioral and neuroimaging findings, theoretical guidance of dual-process theory, as well as proper speculations on the underlying mechanisms. Both the specific neural findings and the modulation effects of cognitive control, emotional regulation, and empathic concern between meditation and decision making are supported by extant research literature. However, more evidence is needed to explore the function of specific brain areas and their interaction effects on decision making during meditation training. ACC: anterior cingulate cortex; DLPFC: dorsolateral prefrontal cortex; dmPFC: dorsomedial prefrontal cortex; IFG: inferior frontal gyrus; pSTS: posterior superior temporal sulcus; TPJ: temporo-parietal junction; vmPFC: ventromedial prefrontal cortex.
Cognitive Control Promotes Reflective Judgments
Conceptually, meditation places an emphasis on observing particular aspects of inner or outer experience, intentional self-regulation of attention, and the promotion of non-judgmental and non-reactive awareness. This collection of processes is similar to cognitive control, which has been defined as the selection of goal-relevant information, performance monitoring, and the storage and manipulation of information in working memory, from which individuals can flexibly adapt their behavior to pursue an internal goal (Slagter et al., 2011). Behavioral evidence suggests that meditation-related interventions can increase sensitivity to sensations, thoughts, and feelings, and lead to more sustained attention (MacLean et al., 2010), cognitive flexibility (Moore and Malinowski, 2009), and working memory (van Vugt and Jha, 2011). Meditation can also decrease rumination (Ramel et al., 2004), negative automatic thinking (Frewen et al., 2008), and habitual responding (Wenk-Sormaz, 2005). Thus, with short- or long-term meditation interventions, individuals can improve their cognitive control capabilities (Chambers et al., 2008). Thus, we propose that meditation can help decision-makers to reach conclusions with a more reflective consideration of their values and objectives, allowing them to better differentiate between relevant and irrelevant information, maintain goal awareness, and reduce irrational behaviors. In addition, with enhanced cognitive control and reflective thinking, people who meditate may be able to reduce some habitual tendencies such as engaging in risky decisions, obsessing about past or future considerations, and reacting automatically in a negative or undue manner. Thus, we propose that meditation can improve decision-making abilities with enhanced self-monitoring and cognitive control.
Recent neuroimaging studies have provided new insights into the potential neural mechanisms by which meditation affects decision making. Specifically, these studies have suggested positive effects of meditation on attention, memory, response inhibition, self-regulation, and reward processing. In particular, Brefczynski-Lewis et al. (2007) found that the association between meditation and activation in the neural networks involved in sustained attention could be represented by an inverted U-shaped curve. Similarly, other researchers have demonstrated that expert meditators exhibit reduced brain activation in regions related to discursive thoughts and emotions (mainly in ventral attention network regions), and greater activation in regions related to response inhibition and attention (mainly prefrontal regions, basal ganglia, and sub-thalamic nuclei), suggesting that meditation practice can modify and enhance the mechanisms underlying cognitive control over automatic behaviors (also known as top–down neural activity) (Corbetta and Shulman, 2002; Ochsner et al., 2002; Aron and Poldrack, 2006; Carim-Todd et al., 2013). Moreover, Lazar et al. (2000) identified several functional brain regions that are active during meditation, such as the DLPFC, parietal cortex, temporal lobe, hippocampus and parahippocampus, striatum, and pregenual ACC. These areas are related to attention, memory, reward processing, and arousal/autonomic control. Xue et al. (2011) have also shown that even short-term meditation interventions can increase the network efficiency of the ACC, which is crucial for conflict monitoring and performance adjustment. Overall, these findings on the effects of meditation on cognitive processing on the neural level support the notion that meditation may improve several aspects of decision making. In summary, both behavioral and neural evidence of cognitive processing provide evidence that meditation affects decision making. We propose that meditation can enhance reflective decision making by improving cognitive control over habitual reactions and intuitive processing.
Emotion Regulation Reduces Intuitive Decisions
In addition to cognitive control, meditation can also affect emotion regulation, which can play a crucial role in decision making, especially in the social domain. Emotion regulation refers to a variety of strategies applied at different points during the generation of emotional responses that influence what, when, and how emotions arise, persist, and are experienced and expressed (Gross and Thompson, 2007). Notably, during meditation there is a particular awareness and non-judgmental acceptance of the present, which may enhance one’s sensitivity to affective cues and lead to more timely emotion regulation, reactions, and hyper-vigilance (Block-Lerner et al., 2007). In such a way, meditation may modify decision making by promoting proper emotion regulation. In other words, we propose that meditation interventions may lead to better decisions by promoting better emotion regulation.
Evidence from behavioral and neuroimaging studies provide some support for the effects of meditation on decision making via emotion regulation. At the behavioral level, well-established research by Kiken and Shook (2011) has indicated that even short-term meditation interventions can reduce negativity bias and increase positive judgments. These effects, however, are mainly modulated by attention reallocation, the suppression of intuition, and executive control (Slagter et al., 2007; Kozasa et al., 2012). Research on structural brain changes associated with mindfulness have demonstrated a positive association between trait mindfulness and gray matter volume in the right anterior insula and the right amygdala, regions related to emotional/bodily states and intuitive responses. Taken together, these studies suggest that meditation may enhance decision making through the regulation of negative/positive emotions, thereby improving cognitive control over intuitive decisions.
Empathic Concern Facilitates Social Decisions
Empathy has been associated with increased helping and social support (Coke et al., 1978). In addition to the modulating effects of cognitive control and emotion regulation on decision making, we also found a crucial role of empathy in enhancing prosocial behavior during meditation training. Conceptually, meditation interventions, and compassion meditation and loving-kindness meditation in particular, involve training in understanding the feelings of others and a focus on alleviating their suffering. Empathy also elicits other-oriented emotions depending on the perceived well-being of others (Batson et al., 2011). Behaviorally, a number of social and developmental studies have demonstrated that short-term inductions of empathic concern can motivate prosocial behavior (Batson et al., 2007). Thus, it is possible that compassion or loving-kindness meditation can improve social decisions by promoting empathy and a better understanding of others.
Evidence from neuroimaging studies provides support for the effect of meditation on pro-social decisions through increased empathy. Mascaro et al. (2013) demonstrated that an 8-week compassion intervention improved empathic accuracy which is positively correlated with neural activity in the inferior frontal gyrus and dorsomedial prefrontal cortex. Structural neuroimaging studies have demonstrated that loving-kindness and compassion meditation altered the activation of circuits previously linked to empathy (insula and ACC) and theory of mind in response to emotional stimuli (amygdala, right temporo-parietal junction, and right posterior superior temporal sulcus) (Lutz et al., 2008a). These studies provided indirect evidence of the mediating role of empathy. Using a redistribution task combined with functional magnetic resonance imaging (fMRI) techniques, Weng et al. (2013) found that empathy-related brain networks are involved in the effects of meditation on prosocial decisions, suggesting a facilitating role of empathy on social decision making after meditation interventions. The psychological effects of meditation may depend not only basic cognitive processing and emotion regulation, but also on more advanced social capabilities, such as empathy.
Conclusions Regarding the Mechanisms of Meditation
Based on these previous studies, we propose one explanatory model for the effects of meditation on decision making that includes aspects of cognitive control, emotion regulation, and empathy. We have explored some of the neural mechanisms potentially underlying this model. We posit that the beneficial effects of meditation on decision making may be modulated by cognitive control, emotion regulation, and empathic concern, which are three important contributors to more rational decisions and prosocial behaviors. It should be noted that, in the current review, our model is mainly based on the extant relevant empirical studies. It is possible that additional mechanisms may be involved but have yet to be identified.
Limitations and Future Directions
Several important limitations in our review are worth mentioning. First, the current review focuses on three most studied types of meditation and their influence on decision making, but there many other forms of meditation, including concentrative meditation, transcendental meditation, Buddhist meditation and others. It remains unknown whether the different types of meditation result in similar effects and changes to decision making. Future studies may compare different forms of meditation in terms of their impact. Second, although we describe three distinct processes that may potentially underlie the effects of meditation, little direct evidence for the causal role of cognitive control, emotion regulation, and/or empathy has been provided. Using fMRI, future studies can further examine how meditation modulates activity in brain regions associated with cognitive control and emotion regulation in decision-making tasks. Additionally, in future research, other techniques like transcranial direct-current stimulation and transcranial magnetic stimulation may help to explore the function of specific brain areas on decision making during meditation training. Recent studies have shown that meditation experience modulates resting-state brain activity or functional connectivity in the default mode network, ACC, insula, and attention-related networks (Brefczynski-Lewis et al., 2007; Lutz et al., 2009a; Brewer et al., 2011; Xue et al., 2011). Research also shows that stimulating DLPFC can induce similar changes (Newberg et al., 2001). Third, we only briefly mentioned the separate influence of cognitive control, emotion regulation, and empathy on decision making following meditation interventions; however, some interaction effects may also exist. Thus, we suggest our model should be interpreted with caution and used as a guide for further studies to investigate such interactions. Finally, it is worth mentioning that there are only a small number of studies (n = 13) on the effects of meditation on decision making. More research is needed to better our understanding of how meditation shapes social decision making.
In this review, we have integrated findings on the effects of meditation on decision making, empathy, and prosocial behavior. This line of research has produced to promising data suggesting that meditation interventions may be effective in promoting good decision making and increasing prosocial behavior. However, an equally important direction for future research is to investigate the neural mechanisms underlying meditation interventions. In the present paper, we propose one explanatory model that accounts for the effects of meditation on decision making by way of changes to cognitive control, emotion regulation, and empathetic concern. This model has important implications for additional research and continues to shed light on the potential mechanisms underlying the effect of meditation on decision-making processes. More evidence is needed to test our explanatory model and explore the function of specific brain areas on decision making during meditation training. Finally, we address some limitations of the current review and indicate several future directions. This review provides a useful conceptual model of the significance of meditation for decision making in both social and non-social domains.
This article was written by
- 1Department of Psychology and Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
- 2School of Economics and Management and Scientific Laboratory of Economic Behaviors, South China Normal University, Guangzhou, China
SS, ZY, and JW wrote the first draft of the paper. SS, ZY, and RY edited drafts and contributed intellectually to the paper. All authors read and approved the final manuscript.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
We acknowledge the Foundation for High-level Talents in Higher Education of Guangdong (No. C10454) and National Natural Science Foundation of China (No. 31371128) for financial support. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Alfonso, J. P., Caracuel, A., Delgado-Pastor, L. C., and Verdejo-Garcia, A. (2011). Combined goal management training and mindfulness meditation improve executive functions and decision-making performance in abstinent polysubstance abusers. Drug Alcohol. Depend. 117, 78–81. doi: 10.1016/j.drugalcdep.2010.12.025
Aron, A. R., and Poldrack, R. A. (2006). Cortical and subcortical contributions to stop signal response inhibition: role of the subthalamic nucleus. J. Neurosci. 26, 2424–2433. doi: 10.1523/jneurosci.4682-05.2006
Astin, J. A., Shapiro, S. L., Eisenberg, D. M., and Forys, K. L. (2003). Mind-body medicine: state of the science, implications for practice. J. Am. Board Fam. Med. 16, 131–147. doi: 10.3122/jabfm.16.2.131
Awasthi, B. (2012). Issues and perspectives in meditation research: in search for a definition. Front. Psychol. 3:613. doi: 10.3389/fpsyg.2012.00613
Batson, C. D., Ahmad, N., Lishner, D. A., and Tsang, J. (2011). “Empathy and altruism,” in The Oxford Handbook of Positive Psychology, eds C. R. Snyder and S. J. Lopez (Oxford: Oxford University Press), 485–498.
Batson, C. D., Eklund, J. H., Chermok, V. L., Hoyt, J. L., and Ortiz, B. G. (2007). An additional antecedent of empathic concern: valuing the welfare of the person in need. J. Pers. Soc. Psychol. 93, 65–74. doi: 10.1037/0022-35188.8.131.52
Batson, C. D., and Powell, A. A. (2003). “Altruism and prosocial behavior,” in Handbook of Psychology, Vol. 5, eds T. Millon, M. J. Lerner, and I. B. Weiner (Hoboken, NJ: Wiley), 463–464.
Bechara, A., Damasio, A. R., Damasio, H., and Anderson, S. W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition 50, 7–15. doi: 10.1016/0010-0277(94)90018-3
Beck, A. T. (1993). Cognitive therapy: nature and relation to behavior therapy. J. Psychother. Pract. Res. 2, 342–356. doi: 10.1016/S0005-7894(70)80030-2
Birnie, K., Speca, M., and Carlson, L. E. (2010). Exploring self-compassion and empathy in the context of mindfulness-based stress reduction (MBSR). Stress Health 26, 359–371. doi: 10.1002/smi.1305
Block-Lerner, J., Adair, C., Plumb, J. C., Rhatigan, D. L., and Orsillo, S. M. (2007). The case for mindfulness-based approaches in the cultivation of empathy: does nonjudgmental, present-moment awareness increase capacity for perspective-taking and empathic concern? J. Marital. Fam. Ther. 33, 501–516. doi: 10.1111/j.1752-0606.2007.00034.x
Brefczynski-Lewis, J., Lutz, A., Schaefer, H., Levinson, D., and Davidson, R. (2007). Neural correlates of attentional expertise in long-term meditation practitioners. Proc. Natl. Acad. Sci. U.S.A. 104, 11483–11488. doi: 10.1073/pnas.0606552104
Breslin, F. C., Zack, M., and Mcmain, S. (2002). An information-processing analysis of mindfulness: Implications for relapse prevention in the treatment of substance abuse. Clin. Psychol. 9, 275–299. doi: 10.1093/clipsy.9.3.275
Brewer, J. A., Worhunsky, P. D., Gray, J. R., Tang, Y.-Y., Weber, J., and Kober, H. (2011). Meditation experience is associated with differences in default mode network activity and connectivity. Proc. Natl. Acad. Sci. U.S.A. 108, 20254–20259. doi: 10.1073/pnas.1112029108
Brockner, J. (1992). The escalation of commitment to a failing course of action: toward theoretical progress. Acad. Manage. Rev. 17, 39–61. doi: 10.5465/AMR.1992.4279568
Brockner, J., Houser, R., Birnbaum, G., Lloyd, K., Deitcher, J., Nathanson, S., et al. (1986). Escalation of commitment to an ineffective course of action: the effect of feedback having negative implications for self-identity. Admin. Sci. Q. 31, 109–126. doi: 10.2307/2392768
Cahn, B. R., and Polich, J. (2006). Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychol. Bull. 132, 180–211. doi: 10.1037/0033-2909.132.2.180
Carim-Todd, L., Mitchell, S. H., and Oken, B. S. (2013). Mind-body practices: an alternative, drug-free treatment for smoking cessation? A systematic review of the literature. Drug Alcohol. Depend. 132, 399–410. doi: 10.1016/j.drugalcdep.2013.04.014
Chambers, R., Lo, B. C. Y., and Allen, N. B. (2008). The impact of intensive mindfulness training on attentional control, cognitive style, and affect. Cogn. Ther. Res. 32, 303–322. doi: 10.1007/s10608-007-9119-0
Chiesa, A., Serretti, A., and Jakobsen, J. C. (2013). Mindfulness: Top-down or bottom-up emotion regulation strategy? Clin. Psychol. Rev. 33, 82–96. doi: 10.1016/j.cpr.2012.10.006
Coke, J. S., Batson, C. D., and Mcdavis, K. (1978). Empathic mediation of helping: a two-stage model. JPSP 36, 752–766. doi: 10.1037/0022-35184.108.40.2062
Condon, P., Desbordes, G., Miller, W. B., and Desteno, D. (2013). Meditation increases compassionate responses to suffering. Psychol. Sci. 24, 2125–2127. doi: 10.1177/0956797613485603
Corbetta, M., and Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 3, 201–215. doi: 10.1038/nrn755
Coricelli, G., Dolan, R. J., and Sirigu, A. (2007). Brain, emotion and decision making: the paradigmatic example of regret. Trends Cogn. Sci. 11, 258–265. doi: 10.1016/j.tics.2007.04.003
Crockett, M. J., Clark, L., Hauser, M. D., and Robbins, T. W. (2010). Serotonin selectively influences moral judgment and behavior through effects on harm aversion. Proc. Natl. Acad. Sci. U.S.A. 107, 17433–17438. doi: 10.1073/pnas.1009396107
Fehr, E., and Camerer, C. F. (2007). Social neuroeconomics: the neural circuitry of social preferences. Trends Cogn. Sci. 11, 419–427. doi: 10.1016/j.tics.2007.09.002
Fernandez, A. C., Wood, M. D., Stein, L., and Rossi, J. S. (2010). Measuring mindfulness and examining its relationship with alcohol use and negative consequences. Psychol. Addict. Behav. 24, 608. doi: 10.1037/a0021742
Frantsve, L. M. E., and Kerns, R. D. (2007). Patient–provider interactions in the management of chronic pain: current findings within the context of shared medical decision making. Pain. Med. 8, 25–35. doi: 10.1016/j.tics.2007.09.002
Frewen, P. A., Evans, E. M., Maraj, N., Dozois, D. J., and Partridge, K. (2008). Letting go: mindfulness and negative automatic thinking. Cogn. Ther. Res. 32, 758–774. doi: 10.1007/s10608-007-9142-1
Goodie, A. S. (2003). The effects of control on betting: paradoxical betting on items of high confidence with low value. J. Exp. Psychol. Learn. Mem. Cogn. 29, 598–610. doi: 10.1037/0278-73220.127.116.118
Goudriaan, A. E., Oosterlaan, J., De Beurs, E., and Van Den Brink, W. (2005). Decision making in pathological gambling: a comparison between pathological gamblers, alcohol dependents, persons with Tourette syndrome, and normal controls. Cogn. Brain Res. 23, 137–151. doi: 10.1016/j.cogbrainres.2005.01.017
Gross, J. J., and Thompson, R. A. (2007). “Emotion regulation: conceptual foundations,” in Handbook of Emotion Regulation, ed. J. J. Gross (New York: Guilford Press), 3–24.
Hafenbrack, A. C., Kinias, Z., and Barsade, S. G. (2014). Debiasing the mind through meditation: mindfulness and the sunk-cost bias. Psychol. Sci. 25, 369–376. doi: 10.1177/0956797613503853
Hassmén, P., Koivula, N., and Uutela, A. (2000). Physical exercise and psychological well-being: a population study in Finland. Prev. Med. 30, 17–25. doi: 10.1006/pmed.1999.0597
Hill, C., Herdon, A., and Karpinska, Z. (2006). Contemplative practices: educating for peace and tolerance. Teach. Coll. Rec. 108, 1915–1935. doi: 10.1111/j.1467-9620.2006.00768.x
Hofmann, S. G., Grossman, P., and Hinton, D. E. (2011). Loving-kindness and compassion meditation: potential for psychological interventions. Clin. Psychol. Rev. 31, 1126–1132. doi: 10.1016/j.cpr.2011.07.003
Hölzel, B. K., Ott, U., Gard, T., Hempel, H., Weygandt, M., Morgen, K., et al. (2008). Investigation of mindfulness meditation practitioners with voxel-based morphometry. Soc. Cogn. Affect. Neurosci. 3, 55–61. doi: 10.1093/scan/nsm038
Hsee, C. K., Hastie, R., and Chen, J. (2008). Hedonomics: bridging decision research with happiness research. Perspect. Psychol. Sci. 3, 224–243. doi: 10.1111/j.1745-6924.2008.00076.x
Jazaieri, H., Mcgonigal, K., Jinpa, T., Doty, J. R., Gross, J. J., and Goldin, P. R. (2014). A randomized controlled trial of compassion cultivation training: effects on mindfulness, affect, and emotion regulation. Motiv. Emot. 38, 23–35. doi: 10.1007/s11031-013-9368-z
Kabat-Zinn, J. (2003). Mindfulness-based interventions in context: past, present, and future. Clin. Psychol. Sci. Pract. 10, 144–156. doi: 10.1093/clipsy.bpg016
Kahneman, D., and Frederick, S. (2002). “Representativeness revisited: attribute substitution in intuitive judgment,” in Heuristics and Biases: The Psychology of Intuitive Judgment, eds T. Gilovich, D. Griffin, and D. Kahneman (New York: Cambridge University Press), 49–81. doi: 10.1017/CBO9780511808098.004
Kang, Y., Gray, J. R., and Dovidio, J. F. (2014). The nondiscriminating heart: lovingkindness meditation training decreases implicit intergroup bias. J. Exp. Psychol. Gen. 143, 1306. doi: 10.1037/a0034150
Keng, S.-L., Smoski, M. J., and Robins, C. J. (2011). Effects of mindfulness on psychological health: a review of empirical studies. Clin. Psychol. Rev. 31, 1041–1056. doi: 10.1016/j.cpr.2011.04.006
Kiken, L. G., and Shook, N. J. (2011). Looking up: mindfulness increases positive judgments and reduces negativity bias. Soc. Psychol. Personal. Sci. 2, 425–431. doi: 10.1177/1948550610396585
Kiken, L. G., and Shook, N. J. (2014). Does mindfulness attenuate thoughts emphasizing negativity, but not positivity? J. Res. Pers. 53, 22–30. doi: 10.1016/j.jrp.2014.08.002
Kirk, U., Downar, J., and Montague, P. R. (2011). Interoception drives increased rational decision-making in meditators playing the ultimatum game. Front. Neurosci. 5:49. doi: 10.3389/fnins.2011.00049
Klimecki, O. M., Leiberg, S., Lamm, C., and Singer, T. (2012). Functional neural plasticity and associated changes in positive affect after compassion training. Cereb. Cortex 1552–1561. doi: 10.1093/cercor/bhs142
Kozasa, E. H., Sato, J. R., Lacerda, S. S., Barreiros, M. A., Radvany, J., Russell, T. A., et al. (2012). Meditation training increases brain efficiency in an attention task. Neuroimage 59, 745–749. doi: 10.1016/j.neuroimage.2011.06.088
Lakey, C. E., Campbell, W. K., Brown, K. W., and Goodie, A. S. (2007a). Dispositional mindfulness as a predictor of the severity of gambling outcomes. Pers. Individ. Dif. 43, 1698–1710. doi: 10.1016/j.paid.2007.05.007
Lakey, C. E., Goodie, A. S., and Campbell, W. K. (2007b). Frequent card playing and pathological gambling: the utility of the georgia gambling task and iowa gambling task for predicting pathology. J. Gambl. Stud. 23, 285–297. doi: 10.1007/s10899-006-9034-4
Lazar, S. W., Bush, G., Gollub, R. L., Fricchione, G. L., Khalsa, G., and Benson, H. (2000). Functional brain mapping of the relaxation response and meditation. Neuroreport 11, 1581–1585. doi: 10.1097/00001756-200005150-00041
Lazar, S. W., Kerr, C. E., Wasserman, R. H., Gray, J. R., Greve, D. N., Treadway, M. T., et al. (2005). Meditation experience is associated with increased cortical thickness. Neuroreport 16, 1893–1897. doi: 10.1097/01.wnr.0000186598.66243.19
Leiberg, S., Klimecki, O., and Singer, T. (2011). Short-term compassion training increases prosocial behavior in a newly developed prosocial game. PLoS ONE 6:e17798. doi: 10.1371/journal.pone.0017798
Lueke, A., and Gibson, B. (2014). Mindfulness meditation reduces implicit age and race bias the role of reduced automaticity of responding. Soc. Psychol. Personal. Sci. 6, 284–291. doi: 10.1177/1948550614559651
Lutz, A., Brefczynski-Lewis, J., Johnstone, T., and Davidson, R. J. (2008a). Regulation of the neural circuitry of emotion by compassion meditation: effects of meditative expertise. PLoS ONE 3:e1897. doi: 10.1371/journal.pone.0001897
Lutz, A., Slagter, H. A., Dunne, J. D., and Davidson, R. J. (2008b). Attention regulation and monitoring in meditation. Trends Cogn. Sci. 12, 163–169. doi: 10.1016/j.tics.2008.01.005
Lutz, A., Greischar, L. L., Perlman, D. M., and Davidson, R. J. (2009a). BOLD signal in insula is differentially related to cardiac function during compassion meditation in experts vs. novices. Neuroimage 47, 1038–1046. doi: 10.1016/j.neuroimage.2009.04.081
Lutz, A., Slagter, H. A., Rawlings, N. B., Francis, A. D., Greischar, L. L., and Davidson, R. J. (2009b). Mental training enhances attentional stability: neural and behavioral evidence. J. Neurosci. 29, 13418–13427. doi: 10.1523/jneurosci.1614-09.2009
MacLean, K. A., Ferrer, E., Aichele, S. R., Bridwell, D. A., Zanesco, A. P., Jacobs, T. L., et al. (2010). Intensive meditation training improves perceptual discrimination and sustained attention. Psychol. Sci. 21, 829–839. doi: 10.1177/095679761371339
Maréchal, J. C. (2010). Editor’s message: the sunk cost fallacy of deep drilling. Hydrogeol. J. 18, 287–289. doi: 10.1007/s10040-009-0515-2
Mascaro, J. S., Rilling, J. K., Tenzin Negi, L., and Raison, C. L. (2013). Compassion meditation enhances empathic accuracy and related neural activity. Soc. Cogn. Affect. Neurosci. 8, 48–55. doi: 10.1093/scan/nss095
McCall, C., Steinbeis, N., Ricard, M., and Singer, T. (2014). Compassion meditators show less anger, less punishment, and more compensation of victims in response to fairness violations. Front. Behav. Neurosci. 8:424. doi: 10.3389/fnbeh.2014.00424
Moore, A., and Malinowski, P. (2009). Meditation, mindfulness and cognitive flexibility. Conscious. Cogn. 18, 176–186. doi: 10.1016/j.concog.2008.12.008
Newberg, A., Alavi, A., Baime, M., Pourdehnad, M., Santanna, J., and D’aquili, E. (2001). The measurement of regional cerebral blood flow during the complex cognitive task of meditation: a preliminary SPECT study. Psychiatry Res. Neuroimag. 106, 113–122. doi: 10.1016/S0925-4927(01)00074-9
Ochsner, K. N., Bunge, S. A., Gross, J. J., and Gabrieli, J. D. (2002). Rethinking feelings: an FMRI study of the cognitive regulation of emotion. J. Cogn. Neurosci. 14, 1215–1229. doi: 10.1162/08989292760807212
Ortner, C. N. M., Kilner, S. J., and Zelazo, P. D. (2007). Mindfulness meditation and reduced emotional interference on a cognitive task. Motiv. Emot. 31, 271–283. doi: 10.1007/s11031-007-9076-7
Ramel, W., Goldin, P. R., Carmona, P. E., and Mcquaid, J. R. (2004). The effects of mindfulness meditation on cognitive processes and affect in patients with past depression. Cogn. Ther. Res. 28, 433–455. doi: 10.1023/B:COTR.0000045557.15923.96
Reb, J., Narayanan, J., and Su, J. (2010). “Compassionate dictators? The effects of loving-kindness meditation on offers in a dictator game,” in Proceedings of the IACM 23rd Annual Conference Paper, Istanbul. doi: 10.2139/ssrn.1612888
Rice, B. I. (2001). Mind-body interventions. Diabetes Spectr. 14, 213–217. doi: 10.2337/diaspect.14.4.213
Rilling, J. K., and Sanfey, A. G. (2011). The neuroscience of social decision-making. Annu. Rev. Psychol. 62, 23–48. doi: 10.1146/annurev.psych.121208.131647
Rozin, P., and Royzman, E. B. (2001). Negativity bias, negativity dominance, and contagion. Pers. Soc. Psychol. Rev. 5, 296–320. doi: 10.1207/S15327957PSPR0504-2
Sanfey, A. G. (2007). Social decision-making: insights from game theory and neuroscience. Science 318, 598–602. doi: 10.1126/science.1142996
Schwartz, S. H. (1977). Normative influences on altruism. Adv. Exp. Soc. Psychol. 10, 221–279. doi: 10.1016/S0065-2601(08)60358-5
Scully, D., Kremer, J., Meade, M. M., Graham, R., and Dudgeon, K. (1998). Physical exercise and psychological well-being: a critical review. Br. J. Sports Med. 32, 111–120. doi: 10.1136/bjsm.32.2.111
Sedlmeier, P., Eberth, J., Schwarz, M., Zimmermann, D., Haarig, F., Jaeger, S., et al. (2012). The psychological effects of meditation: a meta-analysis. Psychol. Bull. 138, 1139–1171. doi: 10.1037/a0028168
Shen, J., Ma, X., Cooley, V. E., and Burt, W. L. (2015). Mediating effects of school process on the relationship between principals’ data-informed decision-making and student achievement. Int. J. Lead. Educ. 1–29. doi: 10.1080/13603124.2014.986208
Simon, H. A. (1987). Making management decisions: the role of intuition and emotion. Acad. Manag. Exec. 1, 57–64. doi: 10.2307/4164720
Slagter, H. A., Davidson, R. J., and Lutz, A. (2011). Mental training as a tool in the neuroscientific study of brain and cognitive plasticity. Front. Psychol. 5:10. doi: 10.3389/fnhum.2011.00017
Slagter, H. A., Lutz, A., Greischar, L. L., Francis, A. D., Nieuwenhuis, S., Davis, J. M., et al. (2007). Mental training affects distribution of limited brain resources. PLoS Biol. 5:e138. doi: 10.1371/journal.pbio.0050138
Travis, F., and Shear, J. (2010). Focused attention, open monitoring and automatic self-transcending: categories to organize meditations from Vedic, Buddhist and Chinese traditions. Conscious. Cogn. 19, 1110–1118. doi: 10.1016/j.concog.2010.01.007
Tversky, A., and Kahneman, D. (1992). Advances in prospect theory: cumulative representation of uncertainty. J. Risk. Uncertainty 5, 297–323. doi: 10.1007/bf00122574
Van Dijk, E., and Zeelenberg, M. (2007). When curiosity killed regret: avoiding or seeking the unknown in decision-making under uncertainty. J. Exp. Soc. Psychol. 43, 656–662. doi: 10.1016/j.jesp.2006.06.004
van Vugt, M. K., and Jha, A. P. (2011). Investigating the impact of mindfulness meditation training on working memory: a mathematical modeling approach. Cogn. Affect. Behav. Neurosci. 11, 344–353. doi: 10.3758/s13415-011-0048-8
Vestergaard-Poulsen, P., Van Beek, M., Skewes, J., Bjarkam, C. R., Stubberup, M., Bertelsen, J., et al. (2009). Long-term meditation is associated with increased gray matter density in the brain stem. Neuroreport 20, 170–174. doi: 10.1097/WNR.0b013e328320012a
Weng, H. Y., Fox, A. S., Shackman, A. J., Stodola, D. E., Caldwell, J. Z., Olson, M. C., et al. (2013). Compassion training alters altruism and neural responses to suffering. Psychol. Sci. 24, 1171–1180. doi: 10.1177/0956797612469537
Wenk-Sormaz, H. (2005). Meditation can reduce habitual responding. Adv. Mind. Body Med. 21, 33–49.
Westbrook, C., Creswell, J. D., Tabibnia, G., Julson, E., Kober, H., and Tindle, H. A. (2013). Mindful attention reduces neural and self-reported cue-induced craving in smokers. Soc. Cogn. Affect. Neurosci. 8, 73–84. doi: 10.1093/scan/nsr076
Winters, K. C., Specker, S., and Stinchfield, R. (2002). “Measuring pathological gambling with the diagnostic interview for gambling severity (DIGS),” in The Downside: Problem and Pathological Gambling, eds J. J. Marotta, J. A. Cornelius, and W. R. Eadington (Reno, NV: University of Nevada Press), 143–148.
Wong, K. F. E., and Kwong, J. Y. (2007). The role of anticipated regret in escalation of commitment. J. Appl. Psychol. 92, 545. doi: 10.1037/0021-9010.92.2.545
Xue, S., Tang, Y.-Y., and Posner, M. I. (2011). Short-term meditation increases network efficiency of the anterior cingulate cortex. Neuroreport 22, 570–574. doi: 10.1097/WNR.0b013e328348c750
Zgierska, A., Rabago, D., Chawla, N., Kushner, K., Koehler, R., and Marlatt, A. (2009). Mindfulness meditation for substance use disorders: a systematic review. Subst. Abus. 30, 266–294. doi: 10.1080/08897070903250019
Keywords: meditation, decision making, empathy, prosocial behavior, neuroimaging
Citation: Sun S, Yao Z, Wei J and Yu R (2015) Calm and smart? A selective review of meditation effects on decision making. Front. Psychol. 6:1059. doi: 10.3389/fpsyg.2015.01059
Received: 08 October 2014; Accepted: 10 July 2015;
Published: 24 July 2015.
Edited by:Barbara Tomasino, University of Udine, Italy