Social Neuroscience最新文献

Shame and guilt are distinct negative moral emotions, although they are usually regarded as overlapping affective experiences. Of these two emotions, shame is more closely related to concerns about other people's judgment, whereas guilt is more related to concerns about one's own judgment. Although some studies have tried to identify the psychological process underlying shame as opposed to guilt, there is no clear evidence of brain regions that are specifically relevant to the experience of shame rather than guilt and, more generally, self-blame. We therefore investigated associations between individual differences in shame- and guilt-proneness and the gray and white matter structures of the brain using magnetic resonance imaging and voxel-based morphometry while controlling for associations with guilt- or shame-proneness. To accomplish this goal, we enrolled 590 healthy, right-handed individuals (338 men and 252 women; age, 20.6 ± 1.8 years). We administered a questionnaire to assess shame proneness and guilt proneness. Based on our hypothesis, we found that high shame proneness was associated with decreased regional white matter density only in the right inferior temporal pole, whereas no significant region was associated with guilt. The function of this area may be important for the underlying processes differentiating shame from guilt.

Accurate decisions about whether to trust someone are critical for adaptive social behavior. Previous research into trustworthiness decisions about face stimuli have focused on individuals. Here, decisions about groups of people are made cumulatively on the basis of sequences of faces. Participants chose to either increase or withdraw an initial investment in mock companies based on how trustworthy the company representatives (face stimuli) appeared. Companies were formed using participant trust ratings from the previous week, to create strong trustworthy, weak trustworthy, weak untrustworthy, and strong untrustworthy companies. Participants made faster, more accurate decisions for companies carrying stronger evidence (e.g., faces rated more extremely). Companies with more extreme ratings yielded faster decisions for untrustworthy than trustworthy companies, consistent with a negativity bias. Electrophysiological data revealed that amplitude of the P1 and P3 ERP components, linked to attentional processes, were largest for strong trustworthy faces. This suggests that evidence counter to bias draws special attention. In addition, the first face representing each company provoked larger amplitude P1, P3, and LPP than subsequent faces. This result suggests that when making social decisions about groups of people, the first person one meets receives the most attention.

This study aimed to explore the neural correlates underlying idea generation during malevolent creativity (MC) using functional near-infrared spectroscopy (fNIRS). Participants were asked to solve problems during three types of creativity tasks: malevolent creativity task (MCT), benevolent creativity task (BCT), and alternative uses task (AUT). fNIRS was used to record individual cerebral activity during the tasks. The results revealed that participants demonstrated weaker neural activation in the right middle occipital area (rMO) and lower neural coupling (NC) between the right frontopolar cortex (rFPC) and rMO during MCT than during BCT and AUT. These suggest that r-MO activity and NC between the rFPC and rMO may distinguish between malevolent and benevolent forms of creative ideation.

Need for Cognitive Closure (NCC) is a construct referring to the desire for predictability, unambiguity and firm answers to issues. Neuroscientific literature about NCC processes has mainly focused on task-related brain activity. According to the Triple Network model (TN), the main aim of the current study was to investigate resting state (RS) electroencephalographic (EEG) intra-network dynamics associated with NCC. Fifty-two young adults (39 females) were enrolled and underwent EEG recordings during RS. Functional connectivity analysis was computed through exact Low-Resolution Electromagnetic Tomography (eLORETA) software. Our results showed that higher levels of NCC were associated with both i) decreased alpha EEG connectivity within the Central Executive Network (CEN), and ii) increased delta connectivity within the Default Mode Network (DMN). No significant correlations were observed between NCC and functional connectivity in the Salience Network (SN). Our data would seem to suggest that high levels of NCC are characterized by a specific communication pattern within the CEN and the DMN during RS. These neurophysiological patterns might reflect several typical NCC-related cognitive characteristics (e.g., lower flexibility and preference for habitual and rigid response schemas).

We used event-related potentials (ERPs) to examine how quickly people in general, and certain people in particular, process deservingness-relevant information. Female university students completed individual difference measures, including individual differences in the belief in a just world (BJW), a belief that people get what they deserve. They then read stories in which an outcome was deserved, undeserved, or neither deserved nor undeserved (i.e., "neutral") while their ERPs were recorded with scalp electrodes. We found no overall differentiation between early ERP responses (<300 ms post-stimulus onset) to deserved, undeserved, and neutral outcomes. However, BJW correlated with the difference between early ERP responses to these forms of information (rs from |.44| to |.61|; ps from .018 to < .001). The early nature of our effects (e.g., 96 ms after stimulus onset) suggests individual differences in socially-relevant information processing that begins before conscious evaluation of the stimuli. Potential underlying processes include automatic attention to schema-relevant information and to unexpected (and therefore salient) information and automatic processing of belief-consistent information. Our research underscores the importance of the concept of deservingness in human information processing as well as the utility of ERP technology and robust statistical analyses in investigations of complex social stimuli.