Ten simple rules for neuroimaging meta-analysis

Veronika I. Müller, Edna C. Cieslik, Angela R. Laird, Peter T. Fox, Joaquim Radua, David Mataix-Cols, Christopher R. Tench, Tal Yarkoni, Thomas E. Nichols, Peter E. Turkeltaub, Tor D. Wager, Simon B. Eickhoff

Research output: Contribution to journalReview articlepeer-review

126 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)151-161
Number of pages11
JournalNeuroscience and Biobehavioral Reviews
Volume84
DOIs
StatePublished - Jan 2018

Keywords

  • Guidelines
  • Meta-analysis
  • Neuroimaging
  • PET
  • Ten simple rules
  • fMRI

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Cognitive Neuroscience
  • Behavioral Neuroscience

Fingerprint Dive into the research topics of 'Ten simple rules for neuroimaging meta-analysis'. Together they form a unique fingerprint.

Cite this