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@ARTICLE{Kuhns:829539,
      author       = {Kuhns, Anna and Dombert, Pascasie Leonie and Mengotti,
                      Paola and Fink, Gereon Rudolf and Vossel, Simone},
      title        = {{S}patial attention, motor intention, and {B}ayesian cue
                      predictability in the human brain},
      journal      = {The journal of neuroscience},
      volume       = {37},
      number       = {21},
      issn         = {0270-6474},
      address      = {Washington, DC},
      publisher    = {Soc.},
      reportid     = {FZJ-2017-03224},
      pages        = {5334 –5344},
      year         = {2017},
      abstract     = {Predictions about upcoming events influence how we perceive
                      and respond to our environment. There is increasing evidence
                      that predictions may be generated based upon previous
                      observations following Bayesian principles, but little is
                      known about the underlying cortical mechanisms and their
                      specificity for different cognitive subsystems. The present
                      study aimed at identifying common and distinct neural
                      signatures of predictive processing in the spatial
                      attentional and motor intentional system. Twenty-three
                      female and male healthy human volunteers performed two
                      probabilistic cueing tasks with either spatial or motor cues
                      while lying in the fMRI scanner. In these tasks, the
                      percentage of cue validity changed unpredictably over time.
                      Trialwise estimates of cue predictability were derived from
                      a Bayesian observer model of behavioral responses. These
                      estimates were included as parametric regressors for
                      analyzing the BOLD time series. Parametric effects of cue
                      predictability in valid and invalid trials were considered
                      to reflect belief updating by precision-weighted prediction
                      errors. The brain areas exhibiting predictability-dependent
                      effects dissociated between the spatial attention and motor
                      intention task, with the right temporoparietal cortex being
                      involved during spatial attention and the left angular gyrus
                      and anterior cingulate cortex during motor intention.
                      Connectivity analyses revealed that all three areas showed
                      predictability-dependent coupling with the right
                      hippocampus. These results suggest that precision-weighted
                      prediction errors of stimulus locations and motor responses
                      are encoded in distinct brain regions, but that crosstalk
                      with the hippocampus may be necessary to integrate new
                      trialwise outcomes in both cognitive systems.},
      cin          = {INM-3},
      ddc          = {590},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000402807500012},
      pubmed       = {pmid:28450541},
      doi          = {10.1523/JNEUROSCI.3255-16.2017},
      url          = {https://juser.fz-juelich.de/record/829539},
}