ale meta-analysis workflows via the brainmap database: progress towards a probabilistic functional brain atlas
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ID: 247207
2009
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Abstract
With the ever-increasing number of studies in human functional brain mapping, an abundance of data has been generated that is ready to be synthesized and modeled on a large scale. The BrainMap database archives peak coordinates from published neuroimaging studies, along with the corresponding metadata that summarize the experimental design. BrainMap was designed to facilitate quantitative meta-analysis of neuroimaging results reported in the literature and supports the use of the activation likelihood estimation (ALE) method. In this paper, we present a discussion of the potential analyses that are possible using the BrainMap database and coordinate-based ALE meta-analyses, along with some examples of how these tools can be applied to create a probabilistic atlas and ontological system of describing function-structure correspondences.
| Reference Key |
laird2009frontiersale
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|---|---|
| Authors | ;Angela R Laird;Simon B Eickhoff;Simon B Eickhoff;Simon B Eickhoff;Florian Kurth;Peter M Fox;Angela M Uecker;Jessica A Turner;Jennifer L Robinson;Jack L Lancaster;Peter T Fox |
| Journal | Nucleic Acids Research |
| Year | 2009 |
| DOI |
10.3389/neuro.11.023.2009
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