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@ARTICLE{AzizSafaie:1030744,
      author       = {Aziz-Safaie, Taraneh and Müller, Veronika I. and Langner,
                      Robert and Eickhoff, Simon B. and Cieslik, Edna C.},
      title        = {{T}he effect of task complexity on the neural network for
                      response inhibition: {A}n {ALE} meta-analysis},
      journal      = {Neuroscience $\&$ biobehavioral reviews},
      volume       = {158},
      issn         = {0149-7634},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2024-05451},
      pages        = {105544 -},
      year         = {2024},
      note         = {This study was supported by the Helmholtz Portfolio Theme
                      “Supercomputing and Modeling for the Human Brain” and
                      the National Institute of Mental Health (R01-MH074457).},
      abstract     = {Response inhibition is classically investigated using the
                      go/no-go (GNGT) and stop-signal task (SST), which
                      conceptually measure different subprocesses of inhibition.
                      Further, different task versions with varying levels of
                      additional executive control demands exist, making it
                      difficult to identify the core neural correlates of response
                      inhibition independent of variations in task complexity.
                      Using neuroimaging meta-analyses, we show that a divergent
                      pattern of regions is consistently involved in the GNGT
                      versus SST, arguing for different mechanisms involved when
                      performing the two tasks. Further, for the GNGT a strong
                      effect of task complexity was found, with regions of the
                      multiple demand network (MDN) consistently involved
                      particularly in the complex GNGT. In contrast, both standard
                      and complex SST recruited the MDN to a similar degree. These
                      results complement behavioral evidence suggesting that
                      inhibitory control becomes automatic after some practice and
                      is performed without input of higher control regions in the
                      classic, standard GNGT, but continues to be implemented in a
                      top-down controlled fashion in the SST.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525) / 5254 -
                      Neuroscientific Data Analytics and AI (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5252 / G:(DE-HGF)POF4-5254},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {38220034},
      UT           = {WOS:001178470000001},
      doi          = {10.1016/j.neubiorev.2024.105544},
      url          = {https://juser.fz-juelich.de/record/1030744},
}