From the Open Access journal Frontiers in Human Neuroscience, this cool article looks at how the brain's default network (the cortical midline structures, or CMS) participates in the creation of self-reflection or self-awareness. Here are the structured involved [emphasis added]:
The set of regions contributing to self-reflection consists primarily of the medial prefrontal cortex (mPFC), encompassing the medial surface of the medial frontal gyrus [Brodmann’s Areas (BAs) 8 and 10], and the medial parietal cortex, roughly encompassing the retrosplenial and posterior aspects of the cingulate cortex, the area bounded at the anterior by the paracentral lobule, and at the posterior by the parieto-occipital sulcus (BAs 23, 31, 7).The authors propose three possibilities for the role of the CMS in self-reflection:
1. Self may be a powerful, but ordinary case for a cognitive system specialized for thinking about people. 2. The mPFC may serve as a processing “hub,” binding together information from all sensory modalities with internally generated information. 3. The mPFC may serve as a cortical director of thought, helping to guide moment-by-moment conscious processing.The authors conclude that the CMSs are "associated with social processing, are developed strongly in humans relative to other animals, and humans travel in much larger social networks than do other animals." Therefore, they speculate that the CMSs "may form the basis of a special neurocognitive system evolved for social processing."
Moran JM, Kelley WM and Heatherton TF. (2013). What can the organization of the brain’s default mode network tell us about self-knowledge? Frontiers in Human Neuroscience, 7:391. doi: 10.3389/fnhum.2013.00391
1. U.S. Army Natick Soldier Research, Development, and Engineering Center, Natick, MA, USA
2. Center for Brain Science, Harvard University, Cambridge, MA, USA
3. Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
Understanding ourselves has been a fundamental topic for psychologists and philosophers alike. In this paper we review the evidence linking specific brain structures to self-reflection. The brain regions most associated with self-reflection are the posterior cingulate and medial prefrontal (mPFC) cortices, together known as the cortical midline structures (CMSs). We review evidence arguing that self-reflection is special in memory, while noting that these brain regions are often engaged when we think about others in our social worlds. Based on the CMSs’ patterns of connectivity and activity, we speculate about three possible interpretations of their role in supporting self-reflection that are somewhat overlapping, and not intended to be mutually exclusive. First, self may be a powerful, but ordinary case for a cognitive system specialized for thinking about people. Second, mPFC may serve as a processing “hub,” binding together information from all sensory modalities with internally generated information. Third, mPFC may serve as a cortical director of thought, helping to guide moment-by-moment conscious processing. Suggestions are made for future research avenues aimed at testing such possibilities.
How do we know what we are like? How do we determine the boundaries between ourselves and the world around us? How do we know what is ours, and what is not? Questions like these have engaged philosophers for millennia, and psychological scientists throughout psychology’s relatively brief history. Great progress has been made by practitioners of these fields, who have recently been joined by neuroscientists bearing the promise of going beyond introspection, self-report, and behavior to the source of our sense of self, the brain. This work is theoretically useful in at least two ways. First, it enables characterization of how the brain implements the psychological process(es) of self-reflection, allowing for links between the neural and psychological levels of analysis. Second, it may suggest new ways to interpret and modify accounts of self-reflection at the psychological-level, allowing neural-level data to influence psychological-level theorizing. Wielding two major empirical breakthroughs, cognitive neuroscientists have made significant headway in understanding how the brain gives rise to a sense of self, revealing surprising knowledge about the organization of the neuronal networks responsible for self-reflection.
The Default Mode Network and Self-Reflection
In brief, these breakthroughs consisted first of the discovery of what has come to be known as the default mode network (Shulman et al., 1997; Raichle et al., 2001), and second of the independent identification that a subset of these brain regions are enlisted when we engage in self-reflection (Gusnard et al., 2001; Johnson et al., 2002; Kelley et al., 2002). To be clear, this network’s involvement is observed most closely during the psychological task of reflecting on one’s personalities and characteristics (self-reflection), rather than during self-recognition, thinking of the self-concept, or thinking about self-esteem, for example. As such, this paper will focus on self at the level of self-reflection and the neural networks responsible for this task. The set of regions contributing to self-reflection consists primarily of the medial prefrontal cortex (mPFC), encompassing the medial surface of the medial frontal gyrus [Brodmann’s Areas (BAs) 8 and 10], and the medial parietal cortex, roughly encompassing the retrosplenial and posterior aspects of the cingulate cortex, the area bounded at the anterior by the paracentral lobule, and at the posterior by the parieto-occipital sulcus (BAs 23, 31, 7). For ease of reference, we will refer to this medial parietal cluster together as posterior cingulate cortex (pCC). These regions have come to be known together as the cortical midline structures (CMSs) (Northoff and Bermpohl, 2004), and are the regions most closely associated with self-reflection in meta-analyses (e.g.,Northoff et al., 2006; Qin and Northoff, 2011).
The default mode network concept arose to explain the puzzling observation that when subjects rest quietly with eyes closed, CMS activity is elevated (as measured by positron emission tomography), along with that of anterior temporal lobes and lateral parietal cortices (Shulman et al., 1997). This set of regions is more active when people rest than when they are engaged in goal-directed tasks, and display functional connectivity: these regions’ activity rises and falls together during the normal course of cognitive engagement and disengagement from the external world (Greicius et al., 2003; Fox et al., 2005). This led Raichle and colleagues to propose that this set of regions formed a default mode network; a network that may serve to generate internal mental stimuli and pay attention to our stream of consciousness, but whose activity is attenuated when we turn our attention to the outside world (as in goal-directed tasks) (Gusnard et al., 2001; Raichle et al., 2001). Following these observations, several labs demonstrated direct overlap between the brain regions engaged during rest and during self-reflection (Wicker et al., 2003; D’Argembeau et al., 2005; Schneider et al., 2008; Whitfield-Gabrieli et al., 2011). This relation is further supported by a meta-analysis (Qin and Northoff, 2011), which reported that the same finding occurred across many studies.
Medial Prefrontal Cortex
Several aspects of these regions’ neuroanatomy may support these well-characterized roles. mPFC is larger than any other prefrontal region in humans (Ongur et al., 2003). By proportion, it covers more of the cortex in humans and has more space available for connections with other supramodal areas than in other primates (Semendeferi et al., 2001). It has a greater density of dendritic spines (69% more on average than primary sensory cortex) and smaller density of cell bodies on the average than other cortical regions, suggesting more complex associative processing (Jacobs et al., 2001). Finally, mPFC is almost exclusively interconnected with other heteromodal processing regions in the prefrontal cortex (Barbas and Pandya, 1989; Petrides and Pandya, 1999), anterior temporal cortex (Amaral and Price, 1984; Morán et al., 1987), and the cingulate gyrus (Morecraft and Van Hoesen, 1993; Arikuni et al., 1994). Most of these connections are reciprocal in nature (Passingham et al., 2002).
These regions are considered to be part of the “social brain”: a network implicated by neuroimaging and lesion work in representing the people that populate our social worlds (Adolphs, 2001; Heatherton, 2011; Lewis et al., 2011). mPFC’s enlargement in humans, preponderance of interconnections rather than cell bodies, and connections with other “social brain” nodes are all features that point toward a role in social abstraction, a skill for which humans are evidently selected (Dunbar, 2009). Indeed, humans form much larger social networks than do other animals (Dunbar, 1998). Lewis et al. (2011) showed further that the size of particular mPFC regions is correlated both with the degree to which we are able to represent multiple others’ viewpoints and the size of our social networks. Underscoring the role of mPFC in social processing in general, and self-processing in specific, a recent meta-analysis further subdivides mPFC into ventral and dorsal aspects (Denny et al., 2012; Wagner et al., 2012), showing that ventral mPFC responds more to self, and dorsal mPFC responds more to others.
Medial Parietal Cortex
Posterior cingulate cortex shares many reciprocal connections with mPFC. In addition, the subregions of pCC are reciprocally connected with one another in a bilateral manner (Cavanna and Trimble, 2006). Along with mPFC, pCC is disproportionately large in humans relative to non-human primates (Goldman-Rakic, 1987). pCC shares many connections with subcortical and cortical regions and serves as “association cortex,” allowing the brain to “integrate both external and self-generated information and to produce much of the mental activity that characterizes Homo sapiens” (Cavanna and Trimble, 2006, p. 568). This set of neuroanatomical features suggests that these regions would be good candidates for those able to perform the inward-focusing and self-generation of stimuli that constitute mental activity when we are not focused on the external world (Mason et al., 2007; Smallwood et al., 2008). That these regions are disproportionately developed in humans, and that humans congregate in the largest social networks, suggests that much of this mental activity at rest might be about ourselves and others.
If we were to plan to design a system that would be able to retain information about itself, to determine what is and is not self, and to update that store of information in a flexible and goal-dependent manner, we could do worse than to outfit it with the array of connections and features that are possessed by the CMS. While the neuroanatomical evidence is certainly suggestive of a set of regions that are specialized for self-reflection, stronger evidence has emerged in cognitive neuroscience. Work that we and others have done has repeatedly demonstrated that reflecting on the self engages the CMS relative to reflecting about (certain) other people, or non-social classes of stimuli (Craik et al., 1999; Johnson et al., 2002; Kelley et al., 2002; Heatherton et al., 2006; Moran et al., 2011; Whitfield-Gabrieli et al., 2011). This work has supported the idea that the self is a special cognitive structure, providing a superordinate means by which information can be encoded into memory (Fossati et al., 2004; Macrae et al., 2004). This position is further supported by neuropsychological work from Klein et al. (1999) that revealed a post-lesion dissociation in patients’ abilities to form memories about the self versus about general semantic categories. The theoretical position that self-is-special is in direct contrast to the notion that the self is a “powerful, but ordinary” structure in memory; a view which suggests that our improved memory for information encoded in reference to the self is simply a result of the greater familiarity of the self-concept (Greenwald and Banaji, 1989), but that the semantic structures of self are no different from the semantic structures of sailboats and silver jewelry. Even though the cognitive neuroscience evidence strongly supports the self-is-special view, Denny et al.’s (2012) meta-analytical finding of a dorsal-ventral axis along which mPFC appears to be differentiated for other- and self-representation appears contradictory. Why is it the case that, on the one hand, our neural representations of self and other are so closely allied, but on the other hand these representations occur in regions of the cortex distinct from (and largely anatomically disconnected from) those networks that are engaged when we reflect about non-social sources of information?
Why Does Self-Reflection Engage the Cortical Midline Structures?
We consider three possible explanations for this pattern of results that are speculative, not intended to be mutually exclusive, and are at least partially overlapping. First, one possibility is that Greenwald and Banaji (1989) may have been half-right: it may be that social information is special, and that the self is a powerful-but-ordinary social knowledge structure. Second, Heatherton (2011) has proposed that mPFC serves as a “hub,” binding together heavily processed information from secondary sensory areas from each of the senses with internally generated information to represent the conscious “workspace.” Third, mPFC may act in a meta-cognitive fashion by guiding our moment-to-moment thought processes; in essence, in deciding what to think about next. See Figure 1 for a schematic representation of each of these models.
FIGURE 1Figure 1. Schematic representation of three possible distinct, but not mutually exclusive models of cortical midline structure (CMS) function. Top left: the CMS are specialized for representing social information, of which the self is a powerful-but-ordinary subset. Top right: the CMS serve as a set of regions responsible for the direction of our thought processes on a moment-to-moment basis. Bottom: the CMS serve as a hub integrating information from disparate neural processing systems into a “conscious workspace.”
Is the Self a Powerful-But-Ordinary Social Construct?
On the self is a powerful-but-ordinary social construct view, the CMS could be seen as representing social information per se, and their seeming selectivity for self-relevant information might simply represent an extreme case of social information processing about a social target (the self) that by definition is more familiar than all other social targets. The overarching view of simulation theory (Gordon, 1986) is that in order to understand others we run a mental simulation of how we might act in given social situations. Conversely, the emerging discipline of neural hermeneutics (Gallotti and Frith, 2013) suggests that in order to understand ourselves, we pay close attention to the social behavior of others. Both of these viewpoints converge on the idea that the self might be a powerful, but ordinary social target.
One obvious prediction of this idea is that the CMS might be differentially engaged by the representation of (and processing about) social targets that are differentially familiar to us. Familiarity contains the concepts of both closeness and similarity: close individuals are those we feel close to (including family and friends), whereas similar individuals are those who share characteristics with us (like members of our race, political affiliation, or age group). Indeed, in Qin and Northoff’s (2011) meta-analysis, they observe that stimulus familiarity drives activation in a similar ventral mPFC region just as much as does self-reflection. In addition, Denny et al.’s (2012) meta-analysis shows that ventral aspects of mPFC are preferentially engaged by reflecting on the self versus others. If this region is sensitive to the familiarity (or “selfness”) of social information, then it should respond more to information that is more self-relevant than not. Several studies have found such a pattern of results (e.g., Phan et al., 2004; Moran et al., 2006). Indeed, Mitchell et al. (2006) observed that social targets manipulated to be similar to the self engaged this ventral mPFC region, whereas social targets manipulated to be dissimilar to the self engaged dorsal mPFC. Krienen et al. (2010) clarified Mitchell et al.’s findings by demonstrating that the driver of activation in mPFC was closeness rather than similarity per se, suggesting that the familiarity of repeated exposure to individuals drives their self-relevance.
Converging on this idea, a series of studies investigating self-reflection in different cultures have provided support for the notion that in individuals whose cultures are more interdependent, the same ventral mPFC region does not differentiate thinking about self from thinking about close family members (like participants’ own mothers) (Zhang et al., 2006; Zhu et al., 2007; Chen et al., 2013), but that this does not necessarily hold true in Western, more independent cultures (Kelley et al., 2002; Kjaer et al., 2002; Heatherton et al., 2006; Vanderwal et al., 2008). These cross-cultural findings are best interpreted in the context of recent criticisms suggesting that standard delineations between Western and Eastern cultures are not as clear-cut as has been suggested (Martinez Mateo et al., 2013). In this context, Moran et al. (2011) provide data that clarify the distinction between independent and interdependent cultures. In their paper, consideration of one’s mother’s personality traits, but not her physical characteristics produced activation levels midway between those of thinking about one’s own traits versus those of former US President, George W. Bush. To the degree that we represent the traits of a close other as being like our own (rather than their physical characteristics), this suggests again that “selfness” may be driving this difference in ventral mPFC). Considered as a unit, these lines of research reveal a quantitative dimension along which social targets of greater familiarity activate ventral mPFC to a greater degree, with the self sitting at the top as the most familiar social target of all.
A further prediction of the notion that the CMS are specialized for socialprocessing (and that the self is a powerful subset of such processing) is that we might be able to differentiate their relative contributions along lines in which thinking about ourselves and thinking about others naturally cleave. To the degree that our representations of ourselves are first-person, and our representations of others are third-person, one would imagine that neural systems implicated in social processing that preferentially receivevisual information would be more responsive to third-person representations. Based on the patterns of connectivity that we introduced at the beginning of this paper, it should be clear that the regions of pCC implicated in the default mode (and in self-reflection) are strongly linked to regions that create complex visual representations. Indeed, Raichle et al. (2001) advocate for a domain-general role for the pCC regions in providing complex visual representations to consciousness. Other work in cognitive neuroscience supports and extends this view, showing via meta-analysis that pCC regions participate in a network engaged in autobiographical memory, prospective future thinking, and navigation (Spreng et al., 2009). All such tasks require complex visual representation, and it is interesting that mPFC did not emerge in this meta-analysis. More direct evidence in support of the idea that pCC supports the third- rather than first-person representations more common in thinking about others rather than the self comes again from the meta-analysis of Denny et al. (2012). In their paper, they found across 107 studies that the precuneus was more active when participants thought about others than when they thought about themselves. Single-study evidence of the idea that visual rather than conceptual representations of people engage pCC comes from Moran et al. (2011), who showed that thinking about social targets’ appearance (e.g., Does George W. Bush have a beard?) versus thinking about their character traits (e.g., Is George W. Bush kind?) produces more activation in pCC. This relationship also held true when the social target was the self. Direct investigations of adopting third- versus first-person perspectives have also shown greater pCC involvement during third-person perspective taking (Ruby and Decety, 2001).
Is Medial Prefrontal Cortex a Hub for Integrating Internal and External Information?
Our second possibility is that the ventral mPFC region identified by Heatherton (2011) serves as a hub that integrates internal and external information into a conscious workspace. On this view, self-reflection would be the canonical task for such a region because it so strongly requires the flexible and ongoing integration of our own knowledge about ourselves with our ever-changing knowledge gained from our sense organs about how we are interacting with the environment, and about how social actors in our environment think about us. Thinking about those social actors independent from ourselves (theory of mind) would drive this machinery to a lesser degree (but still more than thinking about non-social aspects of the world) because rapid and complex integration of sensory, external, and non-sensory conceptual knowledge is required to understand others’ goals, intentions, and beliefs, whereas such dynamic processing is much less necessary for thinking about tools or cars or jewelry. This sort of integration into a conscious workspace is also a hallmark of the cognitive processes engaged during “rest,” and engendered by the default mode of brain functioning.
Is Medial Prefrontal Cortex Specialized for Directing Conscious Thought Processes?
Finally, our third possibility is that the ventral mPFC region identified in self-reflection tasks is specialized for helping to decide in which direction our thought processes should proceed. The convergence of heavily processed external sensory inputs with internally generated inputs would also support this view, which of course is not mutually exclusive with the view that mPFC serves as a hub for integration of information from disparate neural processing units. To the degree that deciding where our thoughts should go is a representational process, and that reflection on those thoughts (and our enduring personality traits) is a meta-representational version of the same process, one would imagine that a system with such functional-anatomic properties would be well-placed to perform both conscious direction of thoughts and self-reflection. That rest and self-reflection so consistently overlap (Qin and Northoff, 2011; Whitfield-Gabrieli et al., 2011) suggests that being free to direct our own thoughts (i.e., not responding directly to the environment or an experimenter-provided task) is a state that mimics the natural process observed when we are asked to reflect directly on our own selves. A prediction of this viewpoint is that decision-making might be tied to activity in the CMS, and indeed research shows that CMS activity predicts freely made decisions up to 7 s before participants indicate becoming aware of the decision having been made (Soon et al., 2008). This third possibility thus may account for the still-puzzling observation that the mPFC is perhaps the most important actor in the brain’s default mode network, which itself perhaps serves as a proxy for our ongoing conscious awareness of both our internal and external words. This conjecture awaits empirical investigation however, not least because sampling the ongoing representational processes of the default mode requires disrupting such processes.
In summary, we have speculated about several different explanations for the observation that the CMS are observed so consistently to participate in self-reflection. Neuroanatomical connectivity suggests that these regions are heteromodal association areas that derive much of their inputs from upstream regions associated with social information processing, and that pCC in particular gains its inputs from regions of the brain responsible for complex visual representations. Because these regions are associated with social processing, are developed strongly in humans relative to other animals, and humans travel in much larger social networks than do other animals, we speculate that they may form the basis of a special neurocognitive system evolved for social processing. More fundamental characterizations of this system suggest that the anterior midline structure, mPFC, is in fact a domain-general region dedicated as a hub of information processing about the internal and external worlds, and relatedly, that the purpose of such a confluence of representations is to direct our conscious awareness from one moment to the next, switching flexibly between representations of our internal mental life and of the world around us. On this view, mPFC’s seeming specialization for social information processing merely reflects its response to stimuli (self and others) that drive the integration of internal and external information sources more strongly than non-social stimuli.
Much research remains to be done to gain greater understanding of how and why the self, other social targets, and the default mode of thought are related to one another, and why they so reliably involve the CMS. Initial support for the idea that mPFC regions might be necessary for self-reflection comes from a study with patients with ventral mPFC damage at the site implicated by Kelley et al. (2002) as being maximally involved in self-reflection (Philippi et al., 2012). These patients did not show the self-reference effect in memory, suggesting that mPFC is necessary for encoding information in relation to oneself. Emerging advances in TMS may allow researchers to target more closely these regions for temporary, reversible lesions, or for theta-burst stimulation for temporary increases in excitability of these regions (Vernet et al., 2013). Such studies could provide more controlled evidence to determine whether these regions are necessary for reflection about self and other. In parallel, advances in real-time fMRI techniques (deCharms et al., 2004; Hinds et al., 2011) allow for the exquisite control of presentation parameters, such that we can manipulate when participants are asked to reflect on self and others to moments when activation in either mPFC or pCC are high or low, and determine with a great degree of accuracy what effects natural fluctuations in the default mode at any given moment might have on our abilities to accurately represent ourselves.
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.
This work was supported by a grant from the National Institutes of Health (R01MH059282) to Todd F. Heatherton.
Adolphs, R. (2001). The neurobiology of social cognition. Curr. Opin. Neurobiol. 11, 231–239. doi:10.1016/S0959-4388(00)00202-6 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Amaral, D. G., and Price, J. L. (1984). Amygdalo-cortical projections in the monkey (Macaca fascicularis). J. Comp. Neurol. 230, 465–496. doi:10.1002/cne.902300402 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Arikuni, T., Sako, H., and Murata, A. (1994). Ipsilateral connections of the anterior cingulate cortex with the frontal and medial temporal cortices in the macaque monkey. Neurosci. Res. 21, 19–39. doi:10.1016/0168-0102(94)90065-5 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Barbas, H., and Pandya, D. N. (1989). Architecture and intrinsic connections of the prefrontal cortex in the rhesus monkey. J. Comp. Neurol. 286, 353–375. doi:10.1002/cne.902860306 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Cavanna, A. E., and Trimble, M. R. (2006). The precuneus: a review of its functional anatomy and behavioural correlates. Brain 129, 564–583. doi:10.1093/brain/awl004 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Chen, P. H. A., Wagner, D. D., Kelley, W. M., Powers, K. E., and Heatherton, T. F. (2013). Medial prefrontal cortex differentiates self from mother in Chinese: evidence from self-motivated immigrants. Cult. Brain 1, 1–13. doi:10.1007/s40167-013-0001-5 CrossRef Full Text
Craik, F. I. M., Moroz, T. M., Moscovitch, M., Stuss, D. T., Winocur, G., Tulving, E., et al. (1999). In search of the self: a positron emission tomography study. Psychol. Sci.10, 26–34. doi:10.1111/1467-9280.00102 CrossRef Full Text
D’Argembeau, A., Collette, F., Van der Linden, M., Laureys, S., Del Fiore, G., Degueldre, C., et al. (2005). Self-referential reflective activity and its relationship with rest: a PET study. Neuroimage 25, 616–624. doi:10.1016/j.neuroimage.2004.11.048 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
de Charms, R. C., Christoff, K., Glover, G. H., Pauly, J. M., Whitfield, S., and Gabrieli, J. D. (2004). Learned regulation of spatially localized brain activation using real-time fMRI. Neuroimage 21, 436–443. doi:10.1016/j.neuroimage.2003.08.041 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Denny, B. T., Kober, H., Wager, T. D., and Ochsner, K. N. (2012). A meta-analysis of functional neuroimaging studies of self- and other judgments reveals a spatial gradient for mentalizing in medial prefrontal cortex. J. Cogn. Neurosci. 24, 1742–1752. doi:10.1162/jocn_a_00233 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Dunbar, R. I. (1998). The social brain hypothesis. Brain 9, 10.
Dunbar, R. I. (2009). The social brain hypothesis and its implications for social evolution. Ann. Hum. Biol. 36, 562–572. doi:10.1080/03014460902960289 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Fossati, P., Hevenor, S. J., Lepage, M., Graham, S. J., Grady, C., Keightley, M. L., et al. (2004). Distributed self in episodic memory: neural correlates of successful retrieval of self-encoded positive and negative personality traits. Neuroimage 22, 1596–1604. doi:10.1016/j.neuroimage.2004.03.034 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., and Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl. Acad. Sci. U.S.A. 102, 9673–9678. doi:10.1073/pnas.0504136102 CrossRef Full Text
Gallotti, M., and Frith, C. D. (2013). Social cognition in the we-mode. Trends Cogn. Sci.17, 160–165. doi:10.1016/j.tics.2013.02.002 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Goldman-Rakic, P. S. (1987). “Circuitry of primate prefrontal cortex and regulation of behavior by representational memory,” in Comprehensive Physiology, ed. F. Plum (Bethesda, MD: American Physiological Society), 373–417.
Gordon, R. M. (1986). Folk psychology as simulation. Mind Lang. 1, 158–171. doi:10.1111/j.1468-0017.1986.tb00324.x CrossRef Full Text
Greenwald, A. G., and Banaji, M. R. (1989). The self as a memory system: powerful, but ordinary. J. Pers. Soc. Psychol. 57, 41–54. doi:10.1037/0022-35184.108.40.206 CrossRef Full Text
Greicius, M. D., Krasnow, B., Reiss, A. L., and Menon, V. (2003). Functional connectivity in the resting brain: a network analysis of the default mode hypothesis.Proc. Natl. Acad. Sci. U.S.A. 100, 253–258. doi:10.1073/pnas.0135058100 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Gusnard, D. A., Akbudak, E., Shulman, G. L., and Raichle, M. E. (2001). Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function. Proc. Natl. Acad. Sci. U.S.A. 98, 4259–4264. doi:10.1073/pnas.071043098 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Heatherton, T. F. (2011). “Building a social brain,” in Social Neuroscience: Toward Understanding the Underpinnings of the Social Mind, eds A. Todorov, S. T. Fiske, and D. Prentice (Oxford: Oxford University Press), 274–283.
Heatherton, T. F., Wyland, C. L., Macrae, C. N., Demos, K. E., Denny, B. T., and Kelley, W. M. (2006). Medial prefrontal activity differentiates self from close others. Soc. Cogn. Affect. Neurosci. 1, 18. doi:10.1093/scan/nsl001 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Hinds, O., Ghosh, S., Thompson, T. W., Yoo, J. J., Whitfield-Gabrieli, S., Triantafyllou, C., et al. (2011). Computing moment-to-moment BOLD activation for real-time neurofeedback. Neuroimage 54, 361–368. doi:10.1016/j.neuroimage.2010.07.060 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Jacobs, B., Schall, M., Prather, M., Kapler, E., Driscoll, L., Baca, S., et al. (2001). Regional dendritic and spine variation in human cerebral cortex: a quantitative Golgi study. Cereb. Cortex 11, 558–571. doi:10.1093/cercor/11.6.558 CrossRef Full Text
Johnson, S. C., Baxter, L. C., Wilder, L. S., Pipe, J. G., Heiserman, J. E., and Prigatano, G. P. (2002). Neural correlates of self-reflection. Brain 125, 1808–1814. doi:10.1093/brain/awf181 CrossRef Full Text
Kelley, W. M., Macrae, C. N., Wyland, C. L., Caglar, S., Inati, S., and Heatherton, T. F. (2002). Finding the self? An event-related fMRI study. J. Cogn. Neurosci. 14, 785–794. doi:10.1162/08989290260138672 CrossRef Full Text
Kjaer, T. W., Nowak, M., and Lou, H. C. (2002). Reflective self-awareness and conscious states: PET evidence for a common midline parietofrontal core.Neuroimage 17, 1080–1086. doi:10.1006/nimg.2002.1230 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Klein, S. B., Chan, R. L., and Loftus, J. (1999). Independence of episodic and semantic self-knowledge: the case from autism. Soc. Cogn. 17, 413–436. doi:10.1521/soco.19220.127.116.113 CrossRef Full Text
Krienen, F. M., Tu, P. C., and Buckner, R. L. (2010). Clan mentality: evidence that the medial prefrontal cortex responds to close others. J. Neurosci. 30, 13906–13915. doi:10.1523/JNEUROSCI.2180-10.2010 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Lewis, P. A., Rezaie, R., Brown, R., Roberts, N., and Dunbar, R. I. (2011). Ventromedial prefrontal volume predicts understanding of others and social network size.Neuroimage 57, 1624–1629. doi:10.1016/j.neuroimage.2011.05.030 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Macrae, C. N., Moran, J. M., Heatherton, T. F., Banfield, J. F., and Kelley, W. M. (2004). Medial prefrontal activity predicts memory for self. Cereb. Cortex 14, 647–654. doi:10.1093/cercor/bhh025 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Martinez Mateo, M., Cabanis, M., Stenmanns, J., and Krach, S. (2013). Essentializing the binary self: individualism and collectivism in cultural neuroscience. Front. Hum. Neurosci. 7:289. doi:10.3389/fnhum.2013.00289 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., and Macrae, C. N. (2007). Wandering minds: the default network and stimulus-independent thought. Science 315, 393–395. doi:10.1126/science.1131295 CrossRef Full Text
Mitchell, J. P., Macrae, C. N., and Banaji, M. R. (2006). Dissociable medial prefrontal contributions to judgments of similar and dissimilar others. Neuron 50, 655–663. doi:10.1016/j.neuron.2006.03.040 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Moran, J. M., Lee, S. M., and Gabrieli, J. D. (2011). Dissociable neural systems supporting knowledge about human character and appearance in ourselves and others. J. Cogn. Neurosci. 23, 2222–2230. doi:10.1162/jocn.2010.21580 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Moran, J. M., Macrae, C. N., Heatherton, T. F., Wyland, C. L., and Kelley, W. M. (2006). Neuroanatomical evidence for distinct cognitive and affective components of self. J. Cogn. Neurosci. 18, 1586–1594. doi:10.1162/jocn.2006.18.9.1586 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Morán, M. A., Mufson, E. J., and Mesulam, M. M. (1987). Neural inputs into the temporopolar cortex of the rhesus monkey. J. Comp. Physiol. 256, 88–103. doi:10.1002/cne.902560108 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Morecraft, R. J., and Van Hoesen, G. W. (1993). Frontal granular cortex input to the cingulate (M3), supplementary (M2) and primary (M1) motor cortices in the rhesus monkey. J. Comp. Neurol. 337, 669–689. doi:10.1002/cne.903370411 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Northoff, G., and Bermpohl, F. (2004). Cortical midline structures and the self. Trends Cogn. Sci. 8, 102–107. doi:10.1016/j.tics.2004.01.004 CrossRef Full Text
Northoff, G., Heinzel, A., de Greck, M., Bermpohl, F., Dobrowolny, H., and Panksepp, J. (2006). Self-referential processing in our brain-A meta-analysis of imaging studies on the self. Neuroimage 31, 440–457. doi:10.1016/j.neuroimage.2005.12.002 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Ongur, D., Ferry, A. T., and Price, J. L. (2003). Architectonic subdivision of the human orbital and medial prefrontal cortex. J. Comp. Neurol. 460, 425–449. doi:10.1002/cne.10609 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Passingham, R. E., Stephan, K. E., and Kotter, R. (2002). The anatomical basis of functional localization in the cortex. Nat. Rev. Neurosci. 3, 606–616.
Petrides, M., and Pandya, D. N. (1999). Dorsolateral prefrontal cortex: comparative cytoarchitectonic analysis in the human and the macaque brain and corticocortical connection patterns. Eur. J. Neurosci. 11, 1011–1036. doi:10.1046/j.1460-9568.1999.00518.x Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Phan, K. L., Taylor, S. F., Welsh, R. C., Ho, S. H., Britton, J. C., and Liberzon, I. (2004). Neural correlates of individual ratings of emotional salience: a trial-related fMRI study. Neuroimage 21, 768–780. doi:10.1016/j.neuroimage.2003.09.072 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Philippi, C. L., Duff, M. C., Denburg, N. L., Tranel, D., and Rudrauf, D. (2012). Medial PFC damage abolishes the self-reference effect. J. Cogn. Neurosci. 24, 475–481. doi:10.1162/jocn_a_00138 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Qin, P., and Northoff, G. (2011). How is our self related to midline regions and the default-mode network? Neuroimage 57, 1221–1233. doi:10.1016/j.neuroimage.2011.05.028 CrossRef Full Text
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., and Shulman, G. L. (2001). A default mode of brain function. Proc. Natl. Acad. Sci. U.S.A.98, 676–682. doi:10.1073/pnas.98.2.676 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Ruby, P., and Decety, J. (2001). Effect of subjective perspective taking during simulation of action: a PET investigation of agency. Nat. Neurosci. 4, 546–550. Pubmed Abstract | Pubmed Full Text
Schneider, F., Bermpohl, F., Heinzel, A., Rotte, M., Walter, M., Tempelmann, C., et al. (2008). The resting brain and our self: self-relatedness modulates resting state neural activity in cortical midline structures. Neuroscience 157, 120–131. doi:10.1016/j.neuroscience.2008.08.014 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Semendeferi, K., Armstrong, E., Schleicher, A., Zilles, K., and Van Hoesen, G. W. (2001). Prefrontal cortex in humans and apes: a comparative study of area 10. Am. J. Phys. Anthropol. 114, 224–241. doi:10.1002/1096-8644(200103)114:3<224::AID-AJPA1022>3.0.CO;2-I Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Shulman, G. L., Fiez, J. A., Corbetta, M., Buckner, R. L., Miezin, F. M., Raichle, M. E., et al. (1997). Common blood flow changes across visual tasks: II. Decreases in cerebral cortex. J. Cogn. Neurosci. 9, 648–663. doi:10.1162/jocn.1918.104.22.1688 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Smallwood, J., Beach, E., Schooler, J. W., and Handy, T. C. (2008). Going AWOL in the brain: mind wandering reduces cortical analysis of external events. J. Cogn. Neurosci.20, 458–469. doi:10.1162/jocn.2008.20037 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Soon, C. S., Brass, M., Heinze, H. J., and Haynes, J. D. (2008). Unconscious determinants of free decisions in the human brain. Nat. Neurosci. 11, 543–545. doi:10.1038/nn.2112 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Spreng, R. N., Mar, R. A., and Kim, A. S. (2009). The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: a quantitative meta-analysis. J. Cogn. Neurosci. 21, 489–510. doi:10.1162/jocn.2008.21029 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Vanderwal, T., Hunyadi, E., Grupe, D. W., Connors, C. M., and Schultz, R. T. (2008). Self, mother and abstract other: an fMRI study of reflective social processing. Neuroimage 41, 1437. doi:10.1016/j.neuroimage.2008.03.058 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Vernet, M., Bashir, S., Yoo, W. K., Perez, J. M., Najib, U., and Pascual-Leone, A. (2013). Insights on the neural basis of motor plasticity induced by theta burst stimulation from TMS-EEG. Eur. J. Neurosci. 37, 598–606. doi:10.1111/ejn.12069 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Wagner, D. D., Haxby, J. V., and Heatherton, T. F. (2012). The representation of self and person knowledge in the medial prefrontal cortex. Wiley Interdiscip. Rev. Cogn. Sci. 3, 451–470. doi:10.1002/wcs.1183 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Whitfield-Gabrieli, S., Moran, J. M., Nieto-Castanon, A., Triantafyllou, C., Saxe, R., and Gabrieli, J. D. (2011). Associations and dissociations between default and self-reference networks in the human brain. Neuroimage 55, 225–232. doi:10.1016/j.neuroimage.2010.11.048 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Wicker, B., Ruby, P., Royet, J. P., and Fonlupt, P. (2003). A relation between rest and the self in the brain? Brain Res. Brain Res. Rev. 43, 224–230. doi:10.1016/j.brainresrev.2003.08.003 Pubmed Abstract | Pubmed Full Text | CrossRef Full Text
Zhang, L., Zhou, T., Zhang, J., Liu, Z., Fan, J., and Zhu, Y. (2006). In search of the Chinese self: an fMRI study. Sci. China C Life Sci. 49, 89–96. doi:10.1007/s11427-004-5105-x Pubmed Abstract | Pubmed Full Text | CrossRef Full Text