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@ARTICLE{Bottenhorn:845833,
      author       = {Bottenhorn, Katherine L and Flannery, Jessica S and
                      Boeving, Emily R and Riedel, Michael C and Eickhoff, Simon
                      and Sutherland, Matthew T and Laird, Angela R},
      title        = {{C}ooperating yet distinct brain networks engaged during
                      naturalistic paradigms: {A} meta-analysis of functional
                      {MRI} results},
      journal      = {Network neuroscience},
      volume       = {3},
      number       = {1},
      issn         = {2472-1751},
      address      = {Cambridge, MA},
      publisher    = {The MIT Press},
      reportid     = {FZJ-2018-03040},
      pages        = {27-48},
      year         = {2019},
      note         = {This study was supported by awards from the National
                      Institute of Drug Abuse (U01-DA041156, K01-DA037819,
                      U24-DA039832, R01DA041353), the National Institute of Mental
                      Health (R56-MH097870),and the National Science Foundation
                      (1631325 and REAL DRL-1420627). The authors declare no
                      competing financial interests},
      abstract     = {Cognitive processes do not occur by pure insertion and
                      instead depend on the full complement of co-occurring mental
                      processes, including perceptual and motor functions. As
                      such, there is limited ecological validity to human
                      neuroimaging experiments that use highly controlled tasks to
                      isolate mental processes of interest. However, a growing
                      literature shows how dynamic, interactive tasks have allowed
                      researchers to study cognition as it more naturally occurs.
                      Collective analysis across such neuroimaging experiments may
                      answer broader questions regarding how naturalistic
                      cognition is biologically distributed throughout the brain.
                      We applied an unbiased, data-driven, meta-analytic approach
                      that uses k-means clustering to identify core brain networks
                      engaged across the naturalistic functional neuroimaging
                      literature. Functional decoding allowed us to, then,
                      delineate how information is distributed between these
                      networks throughout the execution of dynamical cognition in
                      realistic settings. This analysis revealed six recurrent
                      patterns of brain activation, representing sensory,
                      domain-specific, and attentional neural networks that
                      support the cognitive demands of naturalistic paradigms.
                      Though gaps in the literature remain, these results suggest
                      that naturalistic fMRI paradigms recruit a common set of
                      networks that that allow both separate processing of
                      different streams of information and integration of relevant
                      information to enable flexible cognition and complex
                      behavior.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574)},
      pid          = {G:(DE-HGF)POF3-574},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30793072},
      UT           = {WOS:000449591500002},
      doi          = {10.1162/netn_a_00050},
      url          = {https://juser.fz-juelich.de/record/845833},
}