Literature DB >> 26942651

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

Gabriele Bellucci1,2, Sergey Chernyak1, Morris Hoffman3,4, Gopikrishna Deshpande5,6, Olga Dal Monte7, Kristine M Knutson8, Jordan Grafman9, Frank Krueger1,10.   

Abstract

Third-party punishment (TPP) for norm violations is an essential deterrent in large-scale human societies, and builds on two essential cognitive functions: evaluating legal responsibility and determining appropriate punishment. Despite converging evidence that TPP is mediated by a specific set of brain regions, little is known about their effective connectivity (direction and strength of connections). Applying parametric event-related functional MRI in conjunction with multivariate Granger causality analysis, we asked healthy participants to estimate how much punishment a hypothetical perpetrator deserves for intentionally committing criminal offenses varying in levels of harm. Our results confirmed that TPP legal decisions are based on two domain-general networks: the mentalizing network for evaluating legal responsibility and the central-executive network for determining appropriate punishment. Further, temporal pole (TP) and dorsomedial prefrontal cortex (PFC) emerged as hubs of the mentalizing network, uniquely generating converging output connections to ventromedial PFC, temporo-parietal junction, and posterior cingulate. In particular, dorsomedial PFC received inputs only from TP and both its activation and its connectivity to dorsolateral PFC correlated with degree of punishment. This supports the hypothesis that dorsomedial PFC acts as the driver of the TPP activation pattern, leading to the decision on the appropriate punishment. In conclusion, these results advance our understanding of the organizational elements of the TPP brain networks and provide better insights into the mental states of judges and jurors tasked with blaming and punishing legal wrongs.

Entities:  

Keywords:  Third-party punishment; effective connectivity; prefrontal cortex; social cognition; temporal pole

Mesh:

Year:  2016        PMID: 26942651     DOI: 10.1080/17470919.2016.1153518

Source DB:  PubMed          Journal:  Soc Neurosci        ISSN: 1747-0919            Impact factor:   2.083


  13 in total

1.  Identifying disease foci from static and dynamic effective connectivity networks: Illustration in soldiers with trauma.

Authors:  D Rangaprakash; Michael N Dretsch; Archana Venkataraman; Jeffrey S Katz; Thomas S Denney; Gopikrishna Deshpande
Journal:  Hum Brain Mapp       Date:  2017-10-23       Impact factor: 5.038

2.  Sentiment Analysis in Children with Neurodevelopmental Disorders in an Ingroup/Outgroup Setting.

Authors:  E Vaucheret Paz; M Martino; M Hyland; M Corletto; C Puga; M Peralta; N Deltetto; T Kuhlmann; D Cavalié; M Leist; B Duarte; I Lascombes
Journal:  J Autism Dev Disord       Date:  2020-01

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

Authors:  Qun Yang; Gabriele Bellucci; Morris Hoffman; Ko-Tsung Hsu; Bonian Lu; Gopikrishna Deshpande; Frank Krueger
Journal:  Cogn Affect Behav Neurosci       Date:  2021-07-30       Impact factor: 3.282

4.  Commentary: Parsing the Behavioral and Brain Mechanisms of Third-Party Punishment.

Authors:  Anne-Marie Nußberger; Mary Montgomery; Yingyi Luo; Hongbo Yu
Journal:  Front Neurosci       Date:  2017-06-29       Impact factor: 4.677

5.  Neuroanatomical correlates of forgiving unintentional harms.

Authors:  Indrajeet Patil; Marta Calò; Federico Fornasier; Liane Young; Giorgia Silani
Journal:  Sci Rep       Date:  2017-04-06       Impact factor: 4.379

6.  Investigating the Correspondence of Clinical Diagnostic Grouping With Underlying Neurobiological and Phenotypic Clusters Using Unsupervised Machine Learning.

Authors:  Xinyu Zhao; D Rangaprakash; Bowen Yuan; Thomas S Denney; Jeffrey S Katz; Michael N Dretsch; Gopikrishna Deshpande
Journal:  Front Appl Math Stat       Date:  2018-09-25

Review 7.  The emerging neuroscience of social punishment: Meta-analytic evidence.

Authors:  Gabriele Bellucci; Julia A Camilleri; Vijeth Iyengar; Simon B Eickhoff; Frank Krueger
Journal:  Neurosci Biobehav Rev       Date:  2020-04-14       Impact factor: 8.989

8.  Investigating Focal Connectivity Deficits in Alzheimer's Disease Using Directional Brain Networks Derived from Resting-State fMRI.

Authors:  Sinan Zhao; D Rangaprakash; Archana Venkataraman; Peipeng Liang; Gopikrishna Deshpande
Journal:  Front Aging Neurosci       Date:  2017-07-06       Impact factor: 5.750

9.  Multiple-Brain Connectivity During Third Party Punishment: an EEG Hyperscanning Study.

Authors:  A Ciaramidaro; J Toppi; C Casper; C M Freitag; M Siniatchkin; L Astolfi
Journal:  Sci Rep       Date:  2018-05-01       Impact factor: 4.379

10.  Commentary: The Emerging Neuroscience of Third-Party Punishment.

Authors:  Oksana Zinchenko; Vasily Klucharev
Journal:  Front Hum Neurosci       Date:  2017-10-24       Impact factor: 3.169

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