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@ARTICLE{Mller:840398,
      author       = {Müller, Veronika and Cieslik, Edna and Laird, Angela R and
                      Fox, Peter T and Radua, Joaquim and Mataix-Cols, David and
                      Tench, Christopher R and Yarkoni, Tal and Nichols, Thomas E
                      and Turkeltaub, Peter E and Wager, Tor D and Eickhoff,
                      Simon},
      title        = {{T}en simple rules for neuroimaging meta-analysis},
      journal      = {Neuroscience $\&$ biobehavioral reviews},
      volume       = {84},
      issn         = {0149-7634},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2017-07931},
      pages        = {151–161},
      year         = {2017},
      abstract     = {Neuroimaging has evolved into a widely used method to
                      investigate the functional neuroanatomy, brain-behaviour
                      relationships, and pathophysiology of brain disorders,
                      yielding a literature of more than 30,000 papers. With such
                      an explosion of data, it is increasingly difficult to sift
                      through the literature and distinguish spurious from
                      replicable findings. Furthermore, due to the large number of
                      studies, it is challenging to keep track of the wealth of
                      findings. A variety of meta-analytical methods
                      (coordinate-based and image-based) have been developed to
                      help summarise and integrate the vast amount of data arising
                      from neuroimaging studies. However, the field lacks specific
                      guidelines for the conduct of such meta-analyses. Based on
                      our combined experience, we propose best-practice
                      recommendations that researchers from multiple disciplines
                      may find helpful. In addition, we provide specific
                      guidelines and a checklist that will hopefully improve the
                      transparency, traceability, replicability and reporting of
                      meta-analytical results of neuroimaging data.},
      cin          = {INM-7},
      ddc          = {150},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / HBP
                      SGA1 - Human Brain Project Specific Grant Agreement 1
                      (720270)},
      pid          = {G:(DE-HGF)POF3-574 / G:(EU-Grant)720270},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:29180258},
      UT           = {WOS:000419419000012},
      doi          = {10.1016/j.neubiorev.2017.11.012},
      url          = {https://juser.fz-juelich.de/record/840398},
}