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@ARTICLE{Bartley:849758,
      author       = {Bartley, Jessica E. and Boeving, Emily R. and Riedel,
                      Michael C. and Bottenhorn, Katherine L. and Salo, Taylor and
                      Eickhoff, Simon and Brewe, Eric and Sutherland, Matthew T.
                      and Laird, Angela R.},
      title        = {{M}eta-analytic evidence for a core problem solving network
                      across multiple representational domains},
      journal      = {Neuroscience $\&$ biobehavioral reviews},
      volume       = {92},
      issn         = {0149-7634},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2018-03881},
      pages        = {318-337},
      year         = {2018},
      note         = {This study was supported by awards from the National
                      Science Foundation (REAL DRL-1420627), the National
                      Institute of Drug Abuse (U24-DA039832, U01-DA041156,
                      K01-DA037819), and the National Institute of Mental Health
                      (R56-MH097870).},
      abstract     = {Problem solving is a complex skill engaging multi-stepped
                      reasoning processes to find unknown solutions. The breadth
                      of real-world contexts requiring problem solving is mirrored
                      by a similarly broad, yet unfocused neuroimaging literature,
                      and the domain-general or context-specific brain networks
                      associated with problem solving are not well understood. To
                      more fully characterize those brain networks, we performed
                      activation likelihood estimation meta-analysis on 280
                      neuroimaging problem solving experiments reporting 3,166
                      foci from 1,919 individuals across 131 papers. The general
                      map of problem solving revealed broad
                      fronto-cingulo-parietal convergence, regions similarly
                      identified when considering separate mathematical, verbal,
                      and visuospatial problem solving domain-specific analyses.
                      Conjunction analysis revealed a common network supporting
                      problem solving across diverse contexts, and difference maps
                      distinguished functionally-selective sub-networks specific
                      to task type. Our results suggest cooperation between
                      representationally specialized sub-network and whole-brain
                      systems provide a neural basis for problem solving, with the
                      core network contributing general purpose resources to
                      perform cognitive operations and manage problem demand.
                      Further characterization of cross-network dynamics could
                      inform neuroeducational studies on problem solving skill
                      development.},
      cin          = {INM-7},
      ddc          = {150},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {571 - Connectivity and Activity (POF3-571)},
      pid          = {G:(DE-HGF)POF3-571},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29944961},
      UT           = {WOS:000442334200026},
      doi          = {10.1016/j.neubiorev.2018.06.009},
      url          = {https://juser.fz-juelich.de/record/849758},
}