ALE meta-analysis workfl ows via the BrainMap database: Progress towards a probabilistic functional brain atlas Article

Laird, AR, Eickhoff, SB, Kurth, F et al. (2009). ALE meta-analysis workfl ows via the BrainMap database: Progress towards a probabilistic functional brain atlas . 3(JUL), 10.3389/neuro.11.023.2009

cited authors

  • Laird, AR; Eickhoff, SB; Kurth, F; Fox, PM; Uecker, AM; Turner, JA; Robinson, JL; Lancaster, JL; Fox, PT

authors

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. © 2009 Laird, Eickhoff, Kurth, Fox, Uecker, Turner, Robinson, Lancaster and Fox.

publication date

  • July 9, 2009

Digital Object Identifier (DOI)

volume

  • 3

issue

  • JUL