The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data

Angela R. Laird, Simon B. Eickhoff, P. Mickle Fox, Angela M. Uecker, Kimberly L. Ray, Juan J. Saenz, D. Reese McKay, Danilo Bzdok, Robert W. Laird, Jennifer L. Robinson, Jessica A. Turner, Peter E. Turkeltaub, Jack L. Lancaster, Peter T. Fox

Research output: Contribution to journalArticlepeer-review

167 Scopus citations


Background: Neuroimaging researchers have developed rigorous community data and metadata standards that encourage meta-analysis as a method for establishing robust and meaningful convergence of knowledge of human brain structure and function. Capitalizing on these standards, the BrainMap project offers databases, software applications, and other associated tools for supporting and promoting quantitative coordinate-based meta-analysis of the structural and functional neuroimaging literature. Findings. In this report, we describe recent technical updates to the project and provide an educational description for performing meta-analyses in the BrainMap environment. Conclusions: The BrainMap project will continue to evolve in response to the meta-analytic needs of biomedical researchers in the structural and functional neuroimaging communities. Future work on the BrainMap project regarding software and hardware advances are also discussed.

Original languageEnglish (US)
Article number349
JournalBMC Research Notes
StatePublished - 2011


  • ALE
  • BrainMap
  • activation likelihood estimation
  • functional neuroimaging
  • meta-analysis
  • neuroinformatics
  • structural neuroimaging

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)


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