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@ARTICLE{Henco:887723,
      author       = {Henco, Lara and Brandi, Marie-Luise and Lahnakoski, Juha M.
                      and Diaconescu, Andreea O. and Mathys, Christoph and
                      Schilbach, Leonhard},
      title        = {{B}ayesian modelling captures inter-individual differences
                      in social belief computations in the putamen and insula},
      journal      = {Cortex},
      volume       = {131},
      issn         = {0010-9452},
      address      = {New York, NY},
      publisher    = {Elsevier},
      reportid     = {FZJ-2020-04380},
      pages        = {221 - 236},
      year         = {2020},
      abstract     = {Computational models of social learning and decision-making
                      provide mechanistic tools toinvestigate the neural
                      mechanisms that are involved in understanding other people.
                      Whilemost studies employ explicit instructions to learn from
                      social cues, everyday life is characterizedby the
                      spontaneous use of such signals (e.g., the gaze of others)
                      to infer on internalstates such as intentions. To
                      investigate the neural mechanisms of the impact of gaze cues
                      on learning and decision-making, we acquired behavioural and
                      fMRI data from50 participants performing a probabilistic
                      task, in which cards with varying winningprobabilities had
                      to be chosen. In addition, the task included a
                      computer-generated facethat gazed towards one of these cards
                      providing implicit advice. Participants’ individualbelief
                      trajectories were inferred using a hierarchical Gaussian
                      filter (HGF) and used aspredictors in a linear model of
                      neuronal activation. During learning, social prediction
                      errorswere correlated with activity in inferior frontal
                      gyrus and insula. During decision-making,the belief about
                      the accuracy of the social cue was correlated with activity
                      in inferiortemporal gyrus, putamen and pallidum while the
                      putamen and insula showed activity as afunction of
                      individual differences in weighting the social cue during
                      decision-making. Ourfindings demonstrate that model-based
                      fMRI can give insight into the behavioural andneural aspects
                      of spontaneous social cue integration in learning and
                      decision-making.They provide evidence for a mechanistic
                      involvement of specific components of thebasal ganglia in
                      subserving these processes.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {571 - Connectivity and Activity (POF3-571) / 574 - Theory,
                      modelling and simulation (POF3-574)},
      pid          = {G:(DE-HGF)POF3-571 / G:(DE-HGF)POF3-574},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32571519},
      UT           = {WOS:000577507100017},
      doi          = {10.1016/j.cortex.2020.02.024},
      url          = {https://juser.fz-juelich.de/record/887723},
}