The Role of Neuroimaging in Developmental Social Psychology
The development of social cognition is defined as the behavioral patterns, feelings, attitudes, and concepts that children manifest in relation to other people, and the way in which these different functions change with age. To understand the development of social cognition, modelling based on longitudinal behavioral observation is essential. Neuroimaging techniques will aid in this process by providing the neural basis of the psychological constructs, and the constraints for the model. Here, the issue of self-recognition and self-evaluation is presented as an example. Technical advances will allow the application of functional neuroimaging techniques directly to babies and/or children, particularly under the age of 6 years old , in the near future.
KeywordsDevelopmental psychology Functional MRI Near-infrared spectroscopy NIRS Self-recognition
Developmental social psychology and neuroimaging techniques
How do we become social beings? This developmental social psychology question is attracting growing interest in Japan in the face of recent reports on the declining birthrate, the breakdown in classroom discipline, and social withdrawal. Social cognition is defined as the processing of information that culminates in the accurate perception of the dispositions and intentions of other individuals (Brothers 1990). The development of social cognition is defined as the behavioral patterns, feelings, attitudes, and concepts that children manifest in relation to other people, and the way in which these different functions change with age (Schaffer 1996).
To understand the development of social cognition, initially we have to identify the elementary constructs of social cognition that can be measured and quantified. As with other psychological models, the models of developmental social cognition use hypothetical representations and the processes on them. There is no direct evidence supporting the existence of processes and representation: their existence must be inferred on the basis of the success of the model. However, hypothetical representation is sufficiently powerful to produce a limitless number of models to account for the data. Thus, some constraints are necessary (Willingham and Dunn 2003). Classically, reaction time or error/success rate in developmental psychology was the method used to provide such constraints. However, recent advances in neuroimaging techniques have provided another approach. Neuroimaging techniques such as functional MRI (fMRI) allow associations between the psychological constructs and specific human brain areas to be made non-invasively. The essence of this method is brain localization. Thus neuroimaging techniques are an additional way of differentiating between the models by their specific predictions for how fMRI response to the task would be affected by task parameters (Willingham and Dunn 2003).
Longitudinal behavioral data allow us to describe changes in behavior across age, that is, the chronological order of the emergence of functions X and Y (behavioral milestones). As the behavior should be tightly linked to the brain function, changes in behavior across age are conceivably accompanied by the changes in the brain development which is reflected in the task-related activation pattern to the particular behavioral tasks. As the adult brain is the result of the development through the past, it is conceivable that adult fMRI can pinpoint the neural substrates of functions X and Y. Then their functional relationship could be further tested by other interventional techniques such as TMS (transcranial magnetic stimulation), or lesion studies in adults.
Identification of the neural correlates of behavioral milestones in adults is essential to collecting/analyzing child fMRI data when available. Furthermore, anatomical information provides important implications for the construction of the developmental model, because the information of the location-specific function is accumulated in the neuroscience field. Finally, neuroimaging studies could provide the way to test the hypothesis derived from the models.
An example is the mirror neuron system (MNS). MNS is first described by non-human primate experiments, followed by numerous functional neuroimaging studies (Iacoboni and Dapretto 2006, for review). The MNS is composed of inferior frontal gyrus, parietal lobe, and superior temporal sulcus. MNS is supposed to encode both goal-directed action and observation, and thus is closely related to imitation (Iacoboni and Dapretto 2006). Imitation is closely linked to the development of the theory of mind (Baron-Cohen et al. 1993). With the hypothesis that the core deficit of autism is the reduced ability of imitation that is mediated by MNS, an fMRI was conducted on children (around 12 years old) with autism spectrum disorder during an imitation of emotional facial expression (Dapretto et al. 2006). They found reduced task related activity in MNS of the autism group compared with control group, suggesting that a dysfunction of MNS underlies the social deficits of autism (Dapretto et al. 2006).
Self-awareness and self-recognition in adults
As adults, we can experience extreme distaste and even aversion when we are shown our own images as recorded in a photograph or video. We can also become highly self-conscious when we unexpectedly see our own reflected image as we walk through the streets of a city. This reaction is caused by the self-awareness provoked by the feedback of our own image. There are two types of self-awareness: “public self-awareness” that is provoked when one accesses recognizable external information on the self such as one’s face or body, and “private self-awareness” that is provoked when one accesses internal personal information that cannot be directly observed such as one’s beliefs and thoughts. As private self-awareness is accompanied by a conceptual or abstract sense of self-awareness, it is considered to be a form of self-awareness at a higher level than that of public self-awareness (Morin 2006).
By directing attention towards the self, the perceptual feedback of self images initiates an automatic comparison against standards, which comprise mental representations of ideal behaviors or attitudes (Duval and Wicklund 1972). This mental process is defined as self-evaluation. If the actual self does not reach the standards that are set by the subject, he or she experiences negative feelings such as embarrassment and guilt. By contrast, if these standards are met, the subject experiences positive feelings such as pride. These feelings are classified as self-conscious emotions.
Development of self-recognition and self-awareness
When do children start recognizing themselves? The mark test devised by Gallup (1970) is widely used in the measurement of self-recognition in human infants and primates (Gallup 1970). In this method, subjects view themselves in a mirror after rouge has been secretly applied to their face. Rouge-directed responses are used to infer self-recognition. Human infants aged between 6 and 11 months are frequently observed to react by laughing or touching the mirror, but they almost never touch their own bodies. This indicates that infants regard their own image in the mirror as that of a different person. However, once a child reaches the age of between 18 months and 2 years, he or she will touch and attempt to remove the lipstick or mark on the basis of the image reflected in the mirror (Amsterdam 1972). It is because these children realize that the reflected image is their own that they are able to touch their body and not the mirror. Such a child is thus thought to have acquired the ability of self-recognition. This test is used as an indicator of the emergence of the concept of self in the field of developmental psychology, and is also regarded as an important indicator of cognitive ability in the field of evolutionary psychology.
Development of self-evaluation and high-level self-evaluation
Whereas exposure embarrassment is evident in children at around 2 years of age, the sense of shame, evaluative embarrassment, guilt, and pride that emerge as a consequence of self-evaluation begin to appear when a child is around the age of 3 years. This corresponds precisely to the age when the process of self-evaluation emerges (Alessandri and Lewis 1993). The self-conscious emotion caused by self-evaluation is closely related to the acquisition of norms and rules with which one’s behavior is compared (Lewis 1997). If inappropriate behavior that departs from the established criteria is discovered, this will be fed back in the form of negative feelings such as shame and embarrassment, and future actions will be revised accordingly. In other words, the self-conscious emotion evoked by self-evaluation might act as a modifier of one’s own behavior and attitudes.
In summary, these developmental psychological findings imply that the neural representations of self-recognition and self-awareness might be distinct, and that different levels of self-awareness exist.
Adult fMRI study of self-face recognition and self-evaluation
To dissect the neural substrates of self-awareness at high and low levels, and those of self-face recognition (Platek et al. 2004; Sugiura et al. 2005, 2006; Uddin et al. 2005), we conducted an fMRI study with 19 adult normal volunteers (Morita et al. 2008). The first experimental hypothesis was that the brain regions that responded to evaluative embarrassment would reflect the process itself or the self-evaluation process that characterizes higher level self-awareness. This is because the feeling of evaluative embarrassment is caused by differences between immediate perceptions and standards. The second hypothesis was that the neural substrates of lower-level self-awareness (that is, public self-awareness) would be strongly recruited when participants who had a strong disposition to attend to the observable aspects of the self were exposed to feedback face images (public self-consciousness).This disposition can be measured by a questionnaire using the “self-consciousness scale”, which assesses the personal trait of self-consciousness. This scale includes two subscales: a public self-consciousness subscale and a private self-consciousness subscale. The public self-consciousness subscale assesses the tendency to care about visible aspects of the self. The private self-consciousness subscale assesses the tendency to think about inner or abstract aspects of the self. Using these scores, we investigated the relationship between the personal trait of self-consciousness and the brain regions that are related to the evaluation of one’s own facial appearance.
Figure 3 shows the relationship between the photogenic score measured inside the scanner and the embarrassment score measured outside the scanner. Participants experienced strong embarrassment when they viewed their own face images evaluated as very bad. Thus, it was probable that the participants experienced embarrassment when they viewed their own faces during the fMRI experiment.
Right mIFG for self-evaluation
Within the areas activated by the contrast of SELF versus OTHERS, we identified those where the activity in the SELF condition co-varied with the embarrassment scores (Fig. 4). We did not identify any regions that showed a positive correlation with the scores. However, we found a region that showed a negative correlation with the scores in the right PFC. This area was included in the anterior cluster, and so was located in the mIFG. It was selectively activated during the evaluation of self face images, but not during the evaluation of others. The activation in this area was not modulated by the extent of public self-consciousness. This negative correlation made it unlikely that the right mIFG represented the induced embarrassment itself. As the right mIFG was selectively activated during the evaluation of one’s own face, but not the faces of others, it might be related to the self-evaluation that induces embarrassment. The right lateral PFC is involved in self-referential processing, including autobiographical memory retrieval (Fink et al. 1996; Vogeley et al. 1999), or the evaluation of traits concerning the self (Ochsner et al. 2005; Schmitz et al. 2004). Schmitz and colleagues suggested that the increased activity in the right PFC during self-evaluation is associated with increased self-relevance. Taken together, these findings suggest that the right mIFG is selectively engaged in self-evaluation, reflecting self-relevance (Schmitz et al. 2004).
Right ventral precentral gyrus
The right ventral precentral gyrus, which is part of the ventral premotor area, showed activation during face recognition, and was more strongly activated when viewing one’s own face, although it was still responsive to others’ faces. The “mirror neuron” network including the ventral premotor area has been suggested to be important for imitation (Iacoboni and Mazziotta 2007) in order to establish communication between individuals via a simulation mechanism that maps the actions of others onto one’s own motor repertoire (Uddin et al. 2005). Uddin and colleagues postulated the “mirror neuron” systems are activated by self-face recognition because of the ease with which one can map oneself onto one’s own motor system (Uddin et al. 2005).
In several pathological conditions, interest in self might be lacking. For instance, autistic children are able to recognize their own image in a mirror, but they display a neutral reaction to such images without demonstrable feelings of exposure embarrassment (Dawson and McKissick 1984; Spiker and Ricks 1984). Abused children also display a neutral or negative reaction to their image as reflected in a mirror, with little evidence of self-conscious emotion (Schneider-Rosen and Cicchetti 1991). Thus, interest in self might be an important element that creates links across imitation, self-awareness, and autism. Future studies are needed to clarify the detailed relationships among these functions.
Implication of fMRI results for the model of development of self
As self-recognition and self-evaluation functions emerge at different stages of development (Fig. 5), the period of maturation of the two prefrontal regions might differ correspondingly. During the period between 18 months and 2 years when self-recognition is acquired, infants also begin to imitate the intentional actions of other people. The interest in self and the associated exposure embarrassment, and the imitation of the intentional actions of other people, are both accompanied by activation of the ventral premotor region. Thus, the ventral premotor region might well begin to develop and to function at this time. The self-evaluation and recall of autobiographical memories emerge at the same time (around the age of 3 years). Thus, the mIFG, which is related to the processing of higher-level self-related information, matures later than the ventral premotor region.
These results present new possibilities for identifying the order of maturation of the neural representation of specific functions through the timing of their emergence (Fig. 5). The functional neuroimaging of infants is still limited in terms of the measurements and tasks that can be applied (but, see below); however, direct investigation of the brain functions of children is not necessarily the only effective way of studying brain development. As was proposed earlier, combining the past knowledge accumulated in the field of cognitive neuroscience with that from the field of developmental psychology could shed new light on the development of the brain. This type of approach, combining the extraction of landmark behavior, brain localization, and model formation, can be applied to all stages of social cognitive development, and necessitates close collaborations between neuroimagers and developmental psychologists.
Direct measures of the infant brain: future perspectives
In the school age group (>6 years old), it is possible to conduct structural MRI or even functional MRI in awake condition. This is because at this age, the majority of children can follow the instructions to stay still in the closed space in the magnet for about half an hour, and to conduct specific tasks. However, in younger age group (<6 years old), it is almost impossible.
The development of the technology needed to apply neuroimaging techniques to pediatric groups is ongoing. Near-infrared spectroscopy (NIRS) is one of the most promising approaches for use in infants (Aslin and Mehler 2005). NIRS is a non-invasive neuroimaging technique that measures the change in oxy-/deoxy- hemoglobin concentration in the cerebral blood vessels that reflects neuronal activity. As NIRS utilizes near-infrared light, it is highly applicable to infants in naturalistic conditions. Recent advances in NIRS have facilitated the accurate and non-invasive measurement of time-course changes of the oxyhemoglobin concentration ([HbO]) and deoxyhemoglobin concentration ([HbR]) during neural activation in humans (for a review, see Gibson et al. 2005; Villringer et al. 1993, 1994). Simultaneous measurements of NIRS and fMRI data have indicated that these two methodologies are well correlated (Kleinschmidt et al. 1996; Punwani et al. 1998; Toyoda et al. 2008). Since the mid-1990s, NIRS has been used in awake human infants in conjunction with tasks that assess visual (Taga et al. 2003), memory, and language functions. Recently, NIRS has been applied to infants in conjunction with sophisticated tasks that are relevant to aspects of developmental social psychology, such as face preferences (Nakato et al. 2007; Otsuka et al. 2007), and language-specific phonemic discrimination (Minagawa-Kawai et al. 2007). Thus, despite some technical challenges (such as those related to the attachment of probes, limitations of the spatial resolution and coverage field, and co-registration with anatomical data), in concert with electrophysiological techniques (such as electroencephalography and event-related potential), NIRS is “emerging as a third noninvasive window into the infant brain” (Aslin and Mehler 2005) (Fig. 1).
This study was supported, in part, by a Grant-in-Aid for Scientific Research (S#17100003 to N.S.) from the Japan Society for the Promotion of Science.
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- Akagi, K. (2003). Review of the research on mirror self-recognition. Perspectives from developmental psychopathology. Human Sciences Research, 11, 51–62 . in Japanese.Google Scholar
- Baron-Cohen, S., Tager-Flusberg, H., & Cohen, D. J. (1993). Understanding other minds: perspectives from autism, Oxford University Press.Google Scholar
- Bischof-Köhler, D. (1991). The development of empathy in infants. In M. E. Lamb, & H. Keller (Eds.), Infant development: Perspectives from German-speaking countries. Hillsdale, NJ: Erlbaum.Google Scholar
- Brothers, L. (1990). The social brain: a project for integrating primate behavior and neurophysiology in a new domain. Concepts in Neuroscience, 1, 27–151.Google Scholar
- Buss, A. H. (1980). Self-consciousness and social anxiety. San Francisco: Freeman.Google Scholar
- Duval, S., & Wicklund, R. A. (1972). A theory of objective self-awareness. New York: Academic.Google Scholar
- Kleinschmidt, A., Obrig, H., Requardt, M., Merboldt, K.-D., Dirnagl, U., Villinger, A., et al. (1996). Simultaneous recording of cerebral blood oxygenation changes during human brain activation by magnetic resonance imaging and near-infrared spectroscopy. Journal of Cerebral Blood Flow and Metabolism, 16, 817–826. doi: 10.1097/00004647-199609000-00006.PubMedGoogle Scholar
- Morita, T., Itakura, S., Saito, D. N., Nakashita, S., Harada, T., Kochiyama, T., et al. (2008). The role of the right prefrontal cortex in self-evaluation of the face: a functional magnetic resonance imaging study. Journal of Cognitive Neuroscience, 20, 1–14. doi: 10.1162/jocn.2008.20024.CrossRefGoogle Scholar
- Nakato, E., Otsuka, Y., Kanazawa, S., Yamaguchi, M. K., Watanabe, S., & Kakigi, R. (2007). When do infants differentiate profile face from frontal face? a near-infrared spectroscopic study. Human Brain Mapping, in press.Google Scholar
- Punwani, S., Ordidge, R. J., Cooper, C. E., Amess, P., & Clemence, M. (1998). MRI measurements of cerebral deoxyghemoglobin concentration [dHb]—correlation with near infrared spectroscopy (NIRS). NMR in Biomedicine, 11, 281–289. doi: 10.1002/(SICI)1099-1492(199810)11:6<281::AID-NBM529>3.0.CO;2-6.PubMedCrossRefGoogle Scholar
- Schaffer, H. R. (1996). Social development: An introduction. London: Blackwell.Google Scholar
- Villringer, A., Planck, J., Hock, C., Schleinkofer, L., & Dirnagl, U. (1993). Near infrared spectroscopy (NIRS): a new tool to study hemodynamic changes during activation of brain function in human adults. Neuroscience Letters, 154, 101–104. doi: 10.1016/0304-3940(93)90181-J.PubMedCrossRefGoogle Scholar
- Villringer, A., Planck, J., Stodieck, S., Botzel, K., Schleinkofer, L., & Dirnagl, U. (1994). Noninvasive assessment of cerebral hemodynamics and tissue oxygenation during activation of brain cell function in human adults using near infrared spectroscopy. Advances in Experimental Medicine and Biology, 345, 559–565.PubMedGoogle Scholar
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