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  • 2014

  • Jones, Rebecca M.; Somerville, Leah H.; Li, Jian; Ruberry, Erika J.; Powers, Alisa; Mehta, Natasha; Dyke, Jonathan; Casey, B. J. (2014): Adolescent-specific patterns of behavior and neural activity during social reinforcement learning. In: Cognitive, affective & behavioral neuroscience 14 (2), S. 683-697. DOI: 10.3758/s13415-014-0257-z

    DOI: http://www.ncbi.nlm.nih.gov/pubmed/24550063 

    Abstract: Humans are sophisticated social beings. Social cues from others are exceptionally salient, particularly during adolescence. Understanding how adolescents interpret and learn from variable social signals can provide insight into the observed shift in social sensitivity during this period. The present study tested 120 participants between the ages of 8 and 25 years on a social reinforcement learning task where the probability of receiving positive social feedback was parametrically manipulated. Seventy-eight of these participants completed the task during fMRI scanning. Modeling trial-by-trial learning, children and adults showed higher positive learning rates than did adolescents, suggesting that adolescents demonstrated less differentiation in their reaction times for peers who provided more positive feedback. Forming expectations about receiving positive social reinforcement correlated with neural activity within the medial prefrontal cortex and ventral striatum across age. Adolescents, unlike children and adults, showed greater insular activity during positive prediction error learning and increased activity in the supplementary motor cortex and the putamen when receiving positive social feedback regardless of the expected outcome, suggesting that peer approval may motivate adolescents toward action. While different amounts of positive social reinforcement enhanced learning in children and adults, all positive social reinforcement equally motivated adolescents. Together, these findings indicate that sensitivity to peer approval during adolescence goes beyond simple reinforcement theory accounts and suggest possible explanations for how peers may motivate adolescent behavior. zitiert von 59

  • 2013

  • Fairhurst, Merle T.; Janata, Petr; Keller, Peter E. (2013): Being and feeling in sync with an adaptive virtual partner. Brain mechanisms underlying dynamic cooperativity. In: Cerebral cortex (New York, N.Y. : 1991) 23 (11), S. 2592-2600. DOI: 10.1093/cercor/bhs243

    DOI: http://www.ncbi.nlm.nih.gov/pubmed/22892422 

    Abstract: Cooperation is intrinsic to the human ability to work together toward common goals, and depends on sensing and reacting to dynamically changing relationships between coacting partners. Using functional magnetic resonance imaging (fMRI) and a paradigm in which an adaptive pacing signal simulates a virtual partner, we examined the neural substrates underlying dynamic joint action. A single parameter controlled the degree to which the virtual partner adapted its behavior in relation to participant taps, thus simulating varying degrees of cooperativity. Analyses of fMRI data using objective and subjective measures of synchronization quality found the relative balance of activity in two distinct neural networks to depend on the degree of the virtual partner's adaptivity. At lower degrees of adaptivity, when the virtual partner was easier to synchronize with, cortical midline structures were activated in conjunction with premotor areas, suggesting a link between the action and socio-affective components of cooperation. By contrast, right lateral prefrontal areas associated with central executive control processes were recruited during more cognitively challenging interactions while synchronizing with an overly adaptive virtual partner. Together, the reduced adaptive sensorimotor synchronization paradigm and pattern of results illuminate neural mechanisms that may underlie the socio-emotional consequences of different degrees of entrainment success.

  • Schwarz, Katharina A.; Wieser, Matthias J.; Gerdes, Antje B. M.; Mühlberger, Andreas; Pauli, Paul (2013): Why are you looking like that? How the context influences evaluation and processing of human faces. In: Social cognitive and affective neuroscience 8 (4), S. 438-445. DOI: 10.1093/scan/nss013

    DOI: http://www.ncbi.nlm.nih.gov/pubmed/22287265 

    Abstract: Perception and evaluation of facial expressions are known to be heavily modulated by emotional features of contextual information. Such contextual effects, however, might also be driven by non-emotional aspects of contextual information, an interaction of emotional and non-emotional factors, and by the observers' inherent traits. Therefore, we sought to assess whether contextual information about self-reference in addition to information about valence influences the evaluation and neural processing of neutral faces. Furthermore, we investigated whether social anxiety moderates these effects. In the present functional magnetic resonance imaging (fMRI) study, participants viewed neutral facial expressions preceded by a contextual sentence conveying either positive or negative evaluations about the participant or about somebody else. Contextual influences were reflected in rating and fMRI measures, with strong effects of self-reference on brain activity in the medial prefrontal cortex and right fusiform gyrus. Additionally, social anxiety strongly affected the response to faces conveying negative, self-related evaluations as revealed by the participants' rating patterns and brain activity in cortical midline structures and regions of interest in the left and right middle frontal gyrus. These results suggest that face perception and processing are highly individual processes influenced by emotional and non-emotional aspects of contextual information and further modulated by individual personality traits. zitiert von 56

  • 2010

  • Adams, Reginald B.; Rule, Nicholas O.; Franklin, Robert G.; Wang, Elsie; Stevenson, Michael T.; Yoshikawa, Sakiko; Nomura, Mitsue; Sato, Wataru; Kveraga, Kestutis; Ambady, Nalini (2010): Cross-cultural reading the mind in the eyes: an fMRI investigation. In: Journal of cognitive neuroscience 22 (1), S. 97-108. DOI: 10.1162/jocn.2009.21187

    DOI: https://doi.org/10.1162/jocn.2009.21187 

    Abstract: The ability to infer others' thoughts, intentions, and feelings is regarded as uniquely human. Over the last few decades, this remarkable ability has captivated the attention of philosophers, primatologists, clinical and developmental psychologists, anthropologists, social psychologists, and cognitive neuroscientists. Most would agree that the capacity to reason about others' mental states is innately prepared, essential for successful human social interaction. Whether this ability is culturally tuned, however, remains entirely uncharted on both the behavioral and neural levels. Here we provide the first behavioral and neural evidence for an intracultural advantage (better performance for same- vs. other-culture) in mental state decoding in a sample of native Japanese and white American participants. We examined the neural correlates of this intracultural advantage using fMRI, revealing greater bilateral posterior superior temporal sulci recruitment during same- versus other-culture mental state decoding in both cultural groups. These findings offer preliminary support for cultural consistency in the neurological architecture subserving high-level mental state reasoning, as well as its differential recruitment based on cultural group membership.

  • 2009

  • Adolphs, Ralph (2009): The social brain: neural basis of social knowledge. In: Annual review of psychology 60, S. 693-716. DOI: 10.1146/annurev.psych.60.110707.163514

    DOI: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2588649 

    Abstract: Social cognition in humans is distinguished by psychological processes that allow us to make inferences about what is going on inside other people-their intentions, feelings, and thoughts. Some of these processes likely account for aspects of human social behavior that are unique, such as our culture and civilization. Most schemes divide social information processing into those processes that are relatively automatic and driven by the stimuli, versus those that are more deliberative and controlled, and sensitive to context and strategy. These distinctions are reflected in the neural structures that underlie social cognition, where there is a recent wealth of data primarily from functional neuroimaging. Here I provide a broad survey of the key abilities, processes, and ways in which to relate these to data from cognitive neuroscience.

  • Burnett, Stephanie; Bird, Geoffrey; Moll, Jorge; Frith, Chris; Blakemore, Sarah-Jayne (2009): Development during adolescence of the neural processing of social emotion. In: Journal of cognitive neuroscience 21 (9), S. 1736-1750. DOI: 10.1162/jocn.2009.21121

    DOI: https://doi.org/10.1162/jocn.2009.21121 

    Abstract: In this fMRI study, we investigated the development between adolescence and adulthood of the neural processing of social emotions. Unlike basic emotions (such as disgust and fear), social emotions (such as guilt and embarrassment) require the representation of another's mental states. Nineteen adolescents (10-18 years) and 10 adults (22-32 years) were scanned while thinking about scenarios featuring either social or basic emotions. In both age groups, the anterior rostral medial prefrontal cortex (MPFC) was activated during social versus basic emotion. However, adolescents activated a lateral part of the MPFC for social versus basic emotions, whereas adults did not. Relative to adolescents, adults showed higher activity in the left temporal pole for social versus basic emotions. These results show that, although the MPFC is activated during social emotion in both adults and adolescents, adolescents recruit anterior (MPFC) regions more than do adults, and adults recruit posterior (temporal) regions more than do adolescents.

  • 2006

  • Gelder, Beatrice de (2006): Towards the neurobiology of emotional body language. In: Nature reviews. Neuroscience 7 (3), S. 242-249. DOI: 10.1038/nrn1872

    DOI: http://www.ncbi.nlm.nih.gov/pubmed/16495945 

    Abstract: People's faces show fear in many different circumstances. However, when people are terrified, as well as showing emotion, they run for cover. When we see a bodily expression of emotion, we immediately know what specific action is associated with a particular emotion, leaving little need for interpretation of the signal, as is the case for facial expressions. Research on emotional body language is rapidly emerging as a new field in cognitive and affective neuroscience. This article reviews how whole-body signals are automatically perceived and understood, and their role in emotional communication and decision-making.

  • 2004

  • Belin, Pascal; Fecteau, Shirley; Bédard, Catherine (2004): Thinking the voice: neural correlates of voice perception. In: Trends in cognitive sciences 8 (3), S. 129-135. DOI: 10.1016/j.tics.2004.01.008

    DOI: https://doi.org/10.1016/j.tics.2004.01.008 

    Abstract: The human voice is the carrier of speech, but also an "auditory face" that conveys important affective and identity information. Little is known about the neural bases of our abilities to perceive such paralinguistic information in voice. Results from recent neuroimaging studies suggest that the different types of vocal information could be processed in partially dissociated functional pathways, and support a neurocognitive model of voice perception largely similar to that proposed for face perception.

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