Literature DB >> 34331267

Intrinsic functional connectivity of the frontoparietal network predicts inter-individual differences in the propensity for costly third-party punishment.

Qun Yang1,2, Gabriele Bellucci3, Morris Hoffman4, Ko-Tsung Hsu5, Bonian Lu6, Gopikrishna Deshpande6,7, Frank Krueger8.   

Abstract

Humans are motivated to give norm violators their just deserts through costly punishment even as unaffected third parties (i.e., third-party punishment, TPP). A great deal of individual variability exists in costly punishment; however, how this variability particularly in TPP is represented by the brain's intrinsic network architecture remains elusive. Here, we examined whether inter-individual differences in the propensity for TPP can be predicted based on resting-state functional connectivity (RSFC) combining an economic TPP game with task-free functional neuroimaging and a multivariate prediction framework. Our behavioral results revealed that TPP punishment increased with the severity of unfairness for offers. People with higher TPP propensity punished more harshly across norm-violating scenarios. Our neuroimaging findings showed RSFC within the frontoparietal network predicted individual differences in TPP propensity. Our findings contribute to understanding the neural fingerprint for an individual's propensity to costly punish strangers, and shed some light on how social norm enforcement behaviors are represented by the brain's intrinsic network architecture.
© 2021. The Psychonomic Society, Inc.

Entities:  

Keywords:  Costly punishment; Machine learning; Prediction framework; Resting-state functional connectivity; Third-party punishment

Year:  2021        PMID: 34331267     DOI: 10.3758/s13415-021-00927-4

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.282


  59 in total

Review 1.  The roots of modern justice: cognitive and neural foundations of social norms and their enforcement.

Authors:  Joshua W Buckholtz; René Marois
Journal:  Nat Neurosci       Date:  2012-04-15       Impact factor: 24.884

Review 2.  Large-scale brain networks in cognition: emerging methods and principles.

Authors:  Steven L Bressler; Vinod Menon
Journal:  Trends Cogn Sci       Date:  2010-05-20       Impact factor: 20.229

3.  Neuroanatomy of intergroup bias: A white matter microstructure study of individual differences.

Authors:  Thomas Baumgartner; Kyle Nash; Christopher Hill; Daria Knoch
Journal:  Neuroimage       Date:  2015-08-12       Impact factor: 6.556

4.  The neural correlates of third-party punishment.

Authors:  Joshua W Buckholtz; Christopher L Asplund; Paul E Dux; David H Zald; John C Gore; Owen D Jones; René Marois
Journal:  Neuron       Date:  2008-12-10       Impact factor: 17.173

5.  Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

Authors:  B Biswal; F Z Yetkin; V M Haughton; J S Hyde
Journal:  Magn Reson Med       Date:  1995-10       Impact factor: 4.668

6.  Classification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with large-scale network analysis based on resting-state functional MR imaging.

Authors:  Gang Chen; B Douglas Ward; Chunming Xie; Wenjun Li; Zhilin Wu; Jennifer L Jones; Malgorzata Franczak; Piero Antuono; Shi-Jiang Li
Journal:  Radiology       Date:  2011-01-19       Impact factor: 11.105

7.  From Blame to Punishment: Disrupting Prefrontal Cortex Activity Reveals Norm Enforcement Mechanisms.

Authors:  Joshua W Buckholtz; Justin W Martin; Michael T Treadway; Katherine Jan; David H Zald; Owen Jones; René Marois
Journal:  Neuron       Date:  2015-09-16       Impact factor: 17.173

8.  Impartiality in humans is predicted by brain structure of dorsomedial prefrontal cortex.

Authors:  Thomas Baumgartner; Bastian Schiller; Christopher Hill; Daria Knoch
Journal:  Neuroimage       Date:  2013-05-18       Impact factor: 6.556

9.  Effective connectivity of brain regions underlying third-party punishment: Functional MRI and Granger causality evidence.

Authors:  Gabriele Bellucci; Sergey Chernyak; Morris Hoffman; Gopikrishna Deshpande; Olga Dal Monte; Kristine M Knutson; Jordan Grafman; Frank Krueger
Journal:  Soc Neurosci       Date:  2016-03-10       Impact factor: 2.083

10.  Dopaminergic modulation of hemodynamic signal variability and the functional connectome during cognitive performance.

Authors:  Mohsen Alavash; Sung-Joo Lim; Christiane Thiel; Bernhard Sehm; Lorenz Deserno; Jonas Obleser
Journal:  Neuroimage       Date:  2018-02-02       Impact factor: 6.556

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