Contributions of the Prefrontal Cortex to Social Cognition and Moral Judgment Processes

2011 ◽  
pp. 91-109
Author(s):  
Chad E. Forbes ◽  
Joshua C. Poore ◽  
Jordan Grafman
2011 ◽  
Vol 6 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Ezequiel Gleichgerrcht ◽  
Teresa Torralva ◽  
María Roca ◽  
Mariángeles Pose ◽  
Facundo Manes

2007 ◽  
Vol 2 (2) ◽  
pp. 84-92 ◽  
Author(s):  
Elisa Ciaramelli ◽  
Michela Muccioli ◽  
Elisabetta Làdavas ◽  
Giuseppe di Pellegrino

2004 ◽  
Vol 34 (3) ◽  
pp. 391-400 ◽  
Author(s):  
K.-H. LEE ◽  
T. F. D. FARROW ◽  
S. A. SPENCE ◽  
P. W. R. WOODRUFF

Background. A better understanding of the neural basis of social cognition including mindreading (or theory of mind) and empathy might help to explain some deficits in social functioning in people with schizophrenia. Our aim was to review neuroimaging and neuropsychological studies on social cognition, as they may shed light on the neural mechanisms of social cognition and its dysfunction in patients with schizophrenia.Method. A selective literature review was undertaken.Results. Neuroimaging and neuropsychological studies suggest convergence upon specific networks for mindreading and empathy (the temporal cortex, amygdala and the prefrontal cortex). The frontal lobe is likely to play a central role in enabling social cognition, but mindreading and empathic abilities may require relatively different weighting of subcomponents within the same frontal-temporal social cognition network.Conclusions. Disturbances in social cognition may represent an abnormal interaction between frontal lobe and its functionally connected cortical and subcortical areas. Future studies should seek to explore the heterogeneity of social dysfunction within schizophrenia.


2021 ◽  
Author(s):  
Jaime J. Castrellon ◽  
Shabnam Hakimi ◽  
Jacob Parelman ◽  
Lun Yin ◽  
Jonathan R. Law ◽  
...  

Jury decisions are among the most consequential social decisions in which bias plays a notable role. While courts take a number of measures to reduce the influence of bias on decisions about case strength or deserved punishment based on evidence introduced during a trial, jurors may still incorporate personal biases based on knowledge, experience, emotion, and beliefs independent of evidence. One common form of this bias, crime-type bias, is the extent to which the perceived strength of a case depends on the severity of the crime. A number of explanations from psychology and law point to the role of moral judgment, social cognition, and affect as core processes of bias. However, behavioral evidence alone makes these explanations difficult to distinguish. To overcome this challenge, we used fMRI to record brain activation patterns of mock jurors as they read a series of criminal scenarios and rated the strength of the cases and deserved punishment. Compared to patterns of brain activation derived from large neuroimaging databases, mock jurors’ neural activation patterns related to crime-type bias were most similar to patterns associated with social cognition (such as those associated with mentalizing and racial bias) but not affect or moral judgment. Further, results indicated that crime-type bias could be explained by variability in victim harm. Our results support a central role for social cognition in juror decision making and suggest that crime-type bias may arise from similar mechanisms that precipitate other biases like stereotypes about culture or race.


2017 ◽  
Author(s):  
Yin Wang ◽  
Athanasia Metoki ◽  
Kylie H. Alm ◽  
Ingrid R. Olson

AbstractThere is a growing consensus that social cognition and behavior emerge from interactions across distributed regions of the “social brain”. Social neuroscience has traditionally focused its attention on functional response properties of these gray matter networks and neglected the vital role of white matter (WM) connections in establishing such networks and their functions. In this article, we conduct a comprehensive review of prior research on structural connectivity in social neuroscience and highlight the importance of this literature in clarifying brain mechanisms of social cognition. We pay particular attention to the research on three key social processes: face processing, embodied cognition, and theory of mind, and their respective underlying neural networks. To fully identify and characterize the anatomical architecture of these networks, we further implement probabilistic tractography on a large sample of diffusion-weighted imaging data. The combination of an in-depth literature review and the empirical investigation gives us an unprecedented, well-defined landscape of WM pathways underlying major social brain networks. Finally, we discuss current problems in the field, outline suggestions for best practice in diffusion imaging data collection and analysis, and offer new directions for future research.AbbreviationsACCanterior cingulate cortexADaxial diffusivityAFarcuate fasciculusAIanterior insulaALSamyotrophic lateral sclerosisAMGamygdalaASDautism spectrum disordersATLanterior temporal lobeATRanterior thalamic radiationCCcorpus callosumCINGcingulum bundleCSTcortico-spinal tractDESdirect electrical stimulationdMPFCdorsal medial prefrontal cortexdMRIdiffusion-weighted MRIDPdevelopmental prosopagnosiaDTIdiffusion tensor imagingFAfractional anisotropyFFAfusiform face areaIFGinferior frontal gyrusIFOFinferior fronto-occipital fasciculusILFinferior longitudinal fasciculusIPLinferior parietal lobeMCImild cognitive impairmentMDmean diffusivityMPFCmedial prefrontal cortexMSmultiple sclerosisOFAoccipital face areaOFCorbitofrontal cortex face patchPCCposterior cingulate cortexPDParkinson’s diseasePPprogressive prosopagnosiaPreCprecuneusRDradial diffusivityROIregion-of-interestsMRIstructural MRISTSsuperior temporal sulcusTBSStract-based spatial statisticsToMTheory of MindTPJtemporo-parietal junctionUFuncinate fasciculusVBMvoxel based morphometryvMPFCventral medial prefrontal cortexWMwhite matter


Author(s):  
Ingrīda Trups-Kalne ◽  
Ģirts Dimdiņš

The aim of the study was to examine whether moral foundations mediate the negative relation between moral competence and orthodox/conservative religiosity. The participants (N = 361, aged 16 to 74) completed the Moral Judgment Test (Lind, 1978, 2008), the 30-Item Full Version of the Moral Foundations Questionnaire (Graham, Haidt & Nosek, 2008), and Huber's (Huber, 2004) Religion’s Centrality Scale. Mediation analysis revealed that the ‘binding’ moral foundations of in-group loyalty, respect for authority, and purity mediate the negative relation between moral competence and orthodox religiosity. These results are in line with Lind’s theoretical prediction that if individuals have more criteria to consider when making moral judgment, it may hamper their performance on moral competence measures, which are typically based on the individual foundations of harm avoidance and justice. The study contributes to understanding differences in social cognition between liberal and conservative religiosity.


2015 ◽  
Vol 112 (49) ◽  
pp. 15072-15077 ◽  
Author(s):  
Noam Zerubavel ◽  
Peter S. Bearman ◽  
Jochen Weber ◽  
Kevin N. Ochsner

Differences in popularity are a key aspect of status in virtually all human groups and shape social interactions within them. Little is known, however, about how we track and neurally represent others’ popularity. We addressed this question in two real-world social networks using sociometric methods to quantify popularity. Each group member (perceiver) viewed faces of every other group member (target) while whole-brain functional MRI data were collected. Independent functional localizer tasks were used to identify brain systems supporting affective valuation (ventromedial prefrontal cortex, ventral striatum, amygdala) and social cognition (dorsomedial prefrontal cortex, precuneus, temporoparietal junction), respectively. During the face-viewing task, activity in both types of neural systems tracked targets’ sociometric popularity, even when controlling for potential confounds. The target popularity–social cognition system relationship was mediated by valuation system activity, suggesting that observing popular individuals elicits value signals that facilitate understanding their mental states. The target popularity–valuation system relationship was strongest for popular perceivers, suggesting enhanced sensitivity to differences among other group members’ popularity. Popular group members also demonstrated greater interpersonal sensitivity by more accurately predicting how their own personalities were perceived by other individuals in the social network. These data offer insights into the mechanisms by which status guides social behavior.


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