Do we empathize humanoid robots and humans in the same way? Behavioral and multimodal brain imaging investigations.

Humanoid robots have been designed to look more and more like humans to meet social demands. How do people empathize humanoid robots who look the same as but are essentially different from humans? We addressed this issue by examining subjective feelings, electrophysiological activities, and functional magnetic resonance imaging signals during perception of pain and neutral expressions of faces that were recognized as patients or humanoid robots. We found that healthy adults reported deceased feelings of understanding and sharing of humanoid robots' compared to patients' pain. Moreover, humanoid robot (vs. patient) identities reduced long-latency electrophysiological responses and blood oxygenation level-dependent signals in the left temporoparietal junction in response to pain (vs. neutral) expressions. Furthermore, we showed evidence that humanoid robot identities inhibited a causal input from the right ventral lateral prefrontal cortex to the left temporoparietal junction, contrasting the opposite effect produced by patient identities. These results suggest a neural model of modulations of empathy by humanoid robot identity through interactions between the cognitive and affective empathy networks, which provides a neurocognitive basis for understanding human-robot interactions.

Creative mindset reduces racial ingroup bias in empathic neural responses.

Spontaneous racial categorization of other-race individuals provides a cognitive basis of racial ingroup biases in empathy and prosocial behavior. In two experiments, we investigated whether fostering a creativity mindset reduces racial ingroup biases in empathy and undermines spontaneous racial categorization of other-race faces. Before and after a creative mindset priming procedure that required the construction of novel objects using discreteness, we recorded electroencephalography signals to Asian and White faces with painful or neutral expressions from Chinese adults to assess neural activities underlying racial ingroup biases in empathy and spontaneous racial categorization of faces. We found that a frontal-central positive activity within 200 ms after face onset (P2) showed greater amplitudes to painful (vs. neutral) expressions of Asian compared with White faces and exhibited repetition suppression in response to White faces. These effects, however, were significantly reduced by creative mindset priming. Moreover, the creative mindset priming enhanced the P2 amplitudes to others' pain to a larger degree in participants who created more novel objects. The priming effects were not observed in control participants who copied objects constructed by others. Our findings suggest that creative mindsets may reduce racial ingroup biases in empathic neural responses by undermining spontaneous racial categorization of faces.

Linking functional connectome gradient to individual creativity.

INTRODUCTION: Human brain network is organized as a hierarchical organization, exhibiting various connectome gradients. The principal gradient is anchored by the modality-specific primary areas and the transmodal regions. Previous studies have suggested that the unimodal-transmodal gradient in the functional connectome may offer an overarching framework for high-order cognitions of human brain. However, there is still a lacking of direct evidence to associate these two. OBJECTIVES: Therefore, we aim to explore the association between creativity, a typical human high-order cognitive function, and unimodal-transmodal gradient, using two independent datasets of young adults. METHODS: For each individual, we identified the unimodal-transmodal gradient in functional connectome and calculated its global measures. Then we correlated the individual creativity score with measures of unimodal-transmodal gradient at global-brain, subsystem, and regional level. RESULTS: The results suggested that better creative performance was associated with greater distance between primary areas and transmodal regions in gradient axes, and less distance between ventral attention network and default mode network. Individual creativity was also found positively correlated with regional gradients in ventral attention network, and negatively correlated with gradients of regions in visual cortex. CONCLUSION: Together, these findings directly link the unimodal-transmodal gradient to individual creativity, providing empirical evidence for the cognitive implications of functional connectome gradient.

Industriousness Moderates the Link Between Default Mode Network Subsystem and Creativity.

Creativity has been consistently linked to the default mode network (DMN) and conscientiousness. However, the specific core regions that are involved in the relationship between the DMN and creativity and the manner in which conscientiousness influences the neural mechanism that underlies creativity remain unexplored. Therefore, in the present study, we used a combination of graph theory techniques and affinity propagation clustering (APC) to identify the core subnetworks of the DMN that are related to creativity and examine predictive relationships between creativity and resting-state functional connectivity (RSFC). Additionally, the moderating role that two lower-order facets of conscientiousness, namely, industriousness and orderliness, play in this relationship was explored. The results showed that creativity was positively associated with the within-module degree (WMD) of one subnetwork of DMN (i.e., DMN2) and that industriousness was the only facet of conscientiousness that moderated this relationship. Specifically, creativity could be successfully predicted from the RSFC between DMN2 regions and all DMN regions in the high-industriousness group but not the low-industriousness group. Taken together, these results suggest that a core DMN subnetwork is crucial for creativity and that industriousness moderates the association between creativity and the DMN subnetwork.

Functional connectivity mediates the relationship between self-efficacy and curiosity.

Curiosity is an important driving force for human development. This study employed resting-state functional magnetic resonance imaging (fMRI) data (n = 400) and a cross-validation-based predictive framework based on the functional connectivity between and within the default mode network (DMN), fronto-parietal task control network (FPN), and salience network (SN) to explore the relationship between these and curiosity. We found that the curiosity network consisting of functional connections in DMN, FPN, and SN can successfully predict curiosity, and the functional connections within the prefrontal cortex (PFC) and between its nodes and the angular gyrus (AG) made a greater contribution to prediction power. More important, although curiosity has long been considered the main intrinsic motivation of learning and self-efficacy (individual's confidence in his or her own ability) is the primary factor affecting learning motivation, few studies have explored the relationship between the two. Therefore, we speculated that the relationship between the curiosity brain network and curiosity might also be related to self-efficacy. In this study, the strength of the curiosity network was calculated as a mediation variable to explore the relationship between self-efficacy and curiosity. The results revealed that the strength of the curiosity brain network mediates the association between self-efficacy and curiosity score. Our findings suggest that self-efficacy plays an important role in shaping individuals' trait curiosity and extends understanding of the neural mechanism of curiosity.

Polygenic Score of Subjective Well-Being Is Associated with the Brain Morphology in Superior Temporal Gyrus and Insula.

Subjective well-being (SWB) is closely related to our physical and mental health. Existing studies show that neural or genetic basis underpins individual difference in SWB. Moreover, researchers have found high enrichment of SWB-related mutations in the central nervous system, but the relationship between the genetic architecture of SWB and brain morphology has not been explored. Considering the polygenic nature of SWB, in this study, we aim to establish a measure of additive genetic effect on SWB and explore its relationship to the brain anatomical structure. Based on the results of genome-wide association study (GWAS) on SWB, the polygenic scores (PGSs) of SWB at eight different thresholds were calculated in a large Chinese sample (N = 585). Then, we analyzed the associations between the PGSs of SWB and cortical thickness (CT) or gray matter volume (GMV) measured from 3.0-T structural imaging data. In whole-brain analyses, we found that a higher PGS was significantly associated with increased CT in the right superior temporal gyrus (STG) and GMV in the right insula, both of which are involved in social cognition and emotional processing. More importantly, these findings were repeatable at some different thresholds. The results may suggest that the brain morphology of right STG and insula is partly regulated by SWB-related genetic factors.