Human brain responses to gustatory and food stimuli: A meta-evaluation of neuroimaging meta-analyses

  • Andy Wai Kan Yeung*
  • , Natalie Sui Miu Wong
  • , Hakwan Lau
  • , Simon B. Eickhoff
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

22 Citations (Scopus)

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.

Original languageEnglish
Article number116111
JournalNeuroImage
Volume202
DOIs
Publication statusPublished - 15 Nov 2019

User-Defined Keywords

  • Activation likelihood estimation
  • fMRI
  • Food
  • Gustation
  • Literature analysis
  • Meta-analysis
  • Meta-evaluation
  • Neuroimaging
  • Review
  • Taste

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