ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas

نویسندگان

  • Angela R. Laird
  • Simon B. Eickhoff
  • Florian Kurth
  • Peter M. Fox
  • Angela Uecker
  • Jessica A. Turner
  • Jennifer L. Robinson
  • Jack L. Lancaster
  • Peter T. Fox
چکیده

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.

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عنوان ژورنال:

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2009