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@ARTICLE{Bellucci:875071,
      author       = {Bellucci, Gabriele and Camilleri, Julia and Iyengar, Vijeth
                      and Eickhoff, Simon B. and Krueger, Frank},
      title        = {{T}he {E}merging {N}euroscience of {S}ocial {P}unishment:
                      {M}eta-{A}nalytic {E}vidence},
      journal      = {Neuroscience $\&$ biobehavioral reviews},
      volume       = {113},
      issn         = {0149-7634},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-01783},
      pages        = {426-439},
      year         = {2020},
      abstract     = {Social punishment (SOP)-third-party punishment (TPP) and
                      second-party punishment (SPP)-sanctions norm-deviant
                      behavior. The hierarchical punishment model (HPM) posits
                      that TPP is an extension of SPP and both recruit common
                      processes engaging large-scale domain-general brain
                      networks. Here, we provided meta-analytic evidence to the
                      HPM by combining the activation likelihood estimation
                      approach with connectivity analyses and hierarchical
                      clustering analyses. Although both forms of SOP engaged the
                      dorsolateral prefrontal cortex and bilateral anterior insula
                      (AI), a functional differentiation also emerged with TPP
                      preferentially engaging social cognitive regions
                      (temporoparietal junction) and SPP affective regions (AI).
                      Further, although both TPP and SPP recruit domain-general
                      networks (salience, default-mode, and central-executive
                      networks), some specificity in network organization was
                      observed. By revealing differences and commonalities of the
                      neural networks consistently activated by different types of
                      SOP, our findings contribute to a better understanding of
                      the neuropsychological mechanisms of social punishment
                      behavior--one of the most peculiar human behaviors.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / SMHB -
                      Supercomputing and Modelling for the Human Brain
                      (HGF-SMHB-2013-2017) / HBP SGA2 - Human Brain Project
                      Specific Grant Agreement 2 (785907)},
      pid          = {G:(DE-HGF)POF3-574 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      G:(EU-Grant)785907},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32302599},
      UT           = {WOS:000531531100028},
      doi          = {10.1016/j.neubiorev.2020.04.011},
      url          = {https://juser.fz-juelich.de/record/875071},
}