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.In this report, we describe recent technical updates to the project and provide an educational description for performing meta-analyses in the BrainMap environment.The BrainMap project will continue to evolve in response to the meta-analytic needs of biomedical resea...
ALE meta-analysis workfl ows via the BrainMap database: progress towards a probabilistic functional ...
International audienceReaching a global view of brain organization requires assembling evidence on w...
Meta-analytic techniques allow cognitive neuroscientists to pool large amounts of data across many i...
The BrainMap database is a community resource that curates peer-reviewed, coordinate-based human neu...
Functional neuroimaging offers huge amounts of data that require computational tools to help extract...
Spatial normalization—applying standardized coordinates as anatomical addresses within a reference s...
With the ever-increasing number of studies in human functional brain mapping, an abundance of data h...
With the ever-increasing number of studies in human functional brain mapping, an abundance of data h...
Neuroimaging has evolved into a widely used method to investigate the functional neuroanatomy, brain...
The rapid growth of the literature on neuroimaging in humans has led to major advances in our unders...
Item does not contain fulltextMeta-analytic techniques allow cognitive neuroscientists to pool large...
Manually-curated neuroimaging meta-analyses are a valuable tool for leveraging the results of publis...
Human brain mapping is an exciting field which has evolved rapidly the last 20 years. With new techn...
Meta-analytic techniques allow cognitive neuroscientists to pool large amounts of data across many i...
Meta-analysis is an increasingly popular and valuable tool for summarizing results across many neuro...
ALE meta-analysis workfl ows via the BrainMap database: progress towards a probabilistic functional ...
International audienceReaching a global view of brain organization requires assembling evidence on w...
Meta-analytic techniques allow cognitive neuroscientists to pool large amounts of data across many i...
The BrainMap database is a community resource that curates peer-reviewed, coordinate-based human neu...
Functional neuroimaging offers huge amounts of data that require computational tools to help extract...
Spatial normalization—applying standardized coordinates as anatomical addresses within a reference s...
With the ever-increasing number of studies in human functional brain mapping, an abundance of data h...
With the ever-increasing number of studies in human functional brain mapping, an abundance of data h...
Neuroimaging has evolved into a widely used method to investigate the functional neuroanatomy, brain...
The rapid growth of the literature on neuroimaging in humans has led to major advances in our unders...
Item does not contain fulltextMeta-analytic techniques allow cognitive neuroscientists to pool large...
Manually-curated neuroimaging meta-analyses are a valuable tool for leveraging the results of publis...
Human brain mapping is an exciting field which has evolved rapidly the last 20 years. With new techn...
Meta-analytic techniques allow cognitive neuroscientists to pool large amounts of data across many i...
Meta-analysis is an increasingly popular and valuable tool for summarizing results across many neuro...
ALE meta-analysis workfl ows via the BrainMap database: progress towards a probabilistic functional ...
International audienceReaching a global view of brain organization requires assembling evidence on w...
Meta-analytic techniques allow cognitive neuroscientists to pool large amounts of data across many i...