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@ARTICLE{Yeung:864701,
      author       = {Yeung, Andy Wa Kani and Wong, Natalie Sui Miu and Lau,
                      Hakwan and Eickhoff, Simon},
      title        = {{H}uman brain responses to gustatory and food stimuli: {A}
                      meta-evaluation of neuroimaging meta-analyses},
      journal      = {NeuroImage},
      volume       = {202},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {FZJ-2019-04395},
      pages        = {116111},
      year         = {2019},
      note         = {Funding: This work received no funding.Conflict of
                      interest: The authors declared no conflict of interest.},
      abstract     = {Multiple neuroimaging meta-analyses have been published
                      concerning gustation, food and taste. A meta-evaluation of
                      these meta-analyses was conducted to qualitatively evaluate
                      the presented evidence. A systematic search was done using
                      multiple databases, in which no restriction was placed on
                      participants and nature of interventions (stimuli vs
                      control). Twenty-three meta-analyses were identified and
                      analyzed. All of them have met 4-9 criteria, out of 11, from
                      the modified checklist constructed by Müller et al. (2018),
                      which implied moderate to high quality of evidence. One of
                      the concerns we found was that no meta-analysis surveyed had
                      been explicitly pre-registered. Also, only three
                      meta-analyses $(13.0\%)$ provided clear explanation of how
                      they accounted for sample overlap. Only six meta-analyses
                      $(26.1\%)$ explicitly described how they double checked the
                      data. Only two of the 20 meta-analyses $(10.0\%)$ using
                      GingerALE software used both the debugged version (v2.3.6)
                      as well as the recommended cluster-level inference with
                      familywise error rate correction. Overall, meta-analyses are
                      increasingly adopting more stringent statistical thresholds,
                      but unfortunately not larger number of studies contained in
                      the analyses},
      cin          = {INM-7},
      ddc          = {610},
      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:31446124},
      UT           = {WOS:000491861000047},
      doi          = {10.1016/j.neuroimage.2019.116111},
      url          = {https://juser.fz-juelich.de/record/864701},
}