Neural Activity During Social Signal Perception Correlates With Self-reported Empathy

Empathy is an important component of human relationships, yet the neural mechanisms that facilitate empathy are unclear. The broad construct of empathy incorporates both cognitive and affective components. Cognitive empathy includes mentalizing skills such as perspective-taking. Affective empathy consists of the affect produced in response to someone else's emotional state, a process which is facilitated by simulation or “mirroring.” Prior evidence shows that mentalizing tasks engage a neural network which includes the temporoparietal junction, superior temporal sulcus, and medial prefrontal cortex. On the other hand, simulation tasks engage the fronto-parietal mirror neuron system (MNS) which includes the inferior frontal gyrus (IFG) and the somotosensory related cortex (SRC). Here, we tested whether neural activity in these two neural networks was related to self-reports of cognitive and affective empathy in daily life. Participants viewed social scenes in which the shift of direction of attention of a character did or did not change the character's mental and emotional state. As expected, the task robustly activated both mentalizing and MNS networks. We found that when detecting the character's change in mental and emotional state, neural activity in both networks is strongly related to cognitive empathy. Specifically, neural activity in the IFG, SRC, and STS were related to cognitive empathy. Activity in the precentral gyrus was related to affective empathy. The findings suggest that both simulation and mentalizing networks contribute to multiple components of empathy.Psycholog

Can I Trust You? Negative Affective Priming Influences Social Judgments in Schizophrenia

Successful social interactions rely on the ability to make accurate judgments based on social cues as well as the ability to control the influence of internal or external affective information on those judgments. Prior research suggests that individuals with schizophrenia misinterpret social stimuli and this misinterpretation contributes to impaired social functioning. We tested the hypothesis that for people with schizophrenia, social judgments are abnormally influenced by affective information. Twenty-three patients with schizophrenia and 35 healthy control participants rated the trustworthiness of faces following the presentation of neutral, negative (threat-related), or positive affective primes. Results showed that all participants rated faces following negative affective primes as less trustworthy than faces following neutral or positive primes. Importantly, this effect was significantly more pronounced for participants with schizophrenia, suggesting that schizophrenia may be characterized by an exaggerated influence of negative affective information on social judgment. Furthermore, the extent that the negative affective prime influenced trustworthiness judgments was significantly associated with patients' severity of positive symptoms, particularly feelings of persecution. These findings suggest that for people with schizophrenia, negative affective information contributes to an interpretive bias, consistent with paranoid ideation, when judging the trustworthiness of others. This bias may contribute to social impairments in schizophrenia.Psycholog

Moving While Black: Intergroup Attitudes Influence Judgments of Speed

Four experiments examined whether intergroup attitudes shape the speed with which Blacks are thought to be moving. When participants rated the speed of Black and White faces that appeared to be moving toward them, greater intergroup anxiety was associated with judging Black targets as moving more slowly relative to White target

Robust Effects of Affective Person Learning on Evaluation of Faces

People form impressions of others from multiple sources of information. Facial appearance is one such source and judgments based on facial appearance are made after minimal exposure to faces. A more reliable source of information is affective person learning based on others\u27 past actions. Here we investigated whether the effects of such appearance-independent learning on face evaluation emerge after rapid face exposure, a response deadline procedure, and a lack of explicit recognition of the faces. In three experiments, participants learned to associate novel faces with negative and positive behaviors, and then evaluated the faces presented on their own, without the behaviors. Even after extremely brief exposures (e.g., 35 ms), participants evaluated faces previously associated with negative behaviors more negatively than those associated with positive behaviors (Experiment 1). The learning effect persisted when participants were asked to evaluate briefly presented faces before a response deadline (Experiment 2), although the effect was diminished. Finally, although this learning effect increased as a function of face recognition (Experiment 3), it was present with only minimal recognition, suggesting that participants do not need to deliberately retrieve behavioral information for it to influence face evaluation. Together, the findings suggest that person learning unrelated to facial appearance is a powerful determinant of face evaluation

Moving While Black: Intergroup Attitudes Influence Judgments of Speed

Four experiments examined whether intergroup attitudes shape the speed with which Blacks are thought to be moving. When participants rated the speed of Black and White faces that appeared to be moving toward them, greater intergroup anxiety was associated with judging Black targets as moving more slowly relative to White targets (Experiments 1a and 1b). Experiment 2 demonstrated that this effect occurs only for approaching targets. Experiment 3 showed that this slowing bias occurs, at least in part, because of the perceived duration of time each image was moving. Such a slowing bias is consistent with the time expansion and perceptual slowing reported by people who experienced threatening events

The Influence of Personality on Neural Mechanisms of Observational Fear and Reward Learning

Fear and reward learning can occur through direct experience or observation. Both channels can enhance survival or create maladaptive behavior. We used fMRI to isolate neural mechanisms of observational fear and reward learning and investigate whether neural response varied according to individual differences in neuroticism and extraversion. Participants learned object-emotion associations by observing a woman respond with fearful (or neutral) and happy (or neutral) facial expressions to novel objects. The amygdala-hippocampal complex was active when learning the object-fear association, and the hippocampus was active when learning the object-happy association. After learning, objects were presented alone; amygdala activity was greater for the fear (vs. neutral) and happy (vs. neutral) associated object. Importantly, greater amygdala-hippocampal activity during fear (vs. neutral) learning predicted better recognition of learned objects on a subsequent memory test. Furthermore, personality modulated neural mechanisms of learning. Neuroticism positively correlated with neural activity in the amygdala and hippocampus during fear (vs. neutral) learning. Low extraversion/high introversion was related to faster behavioral predictions of the fearful and neutral expressions during fear learning. In addition, low extraversion/high introversion was related to greater amygdala activity during happy (vs. neutral) learning, happy (vs. neutral) object recognition, and faster reaction times for predicting happy and neutral expressions during reward learning. These findings suggest that neuroticism is associated with an increased sensitivity in the neural mechanism for fear learning which leads to enhanced encoding of fear associations, and that low extraversion/high introversion is related to enhanced conditionability for both fear and reward learning.Psycholog

Familiarization increases face individuation measured with fast periodic visual stimulation

People are better at recognizing familiar versus unfamiliar faces. The current study investigated whether familiarity would lead to a larger face individuation response as measured via fast periodic visual stimulation (FPVS). While electroencephalography (EEG) was recorded, participants viewed oddball sequences of faces made up of more versus less familiarized faces. In each sequence, a single base face was repeated at a rate of 6 Hz and oddball faces with different identities were presented every fifth face (6 Hz/5 = 1.2 Hz). As in previous studies, significant face individuation responses were observed at 1.2 Hz and its harmonics, with the strongest responses located over right occipito-temporal electrode sites. Despite a relatively minimal learning manipulation, the face individuation response over right occipito-temporal sites was stronger for more versus less familiarized faces. These results suggest that the fast-periodic visual oddball paradigm offers a promising means for investigating face learning