Journal Article

PreJuSER-5390

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png ALE meta-analysis workflows via the BrainMap database: progress towards a probabilistic functional brain altlas

Laird, A. R. ; Eickhoff, S. B.FZJ* ; Kurth, F.FZJ* ; Fox, P. M. ; Uecker, A. M. ; Turner, J. A. ; Robinson, J. L. ; Lancaster, J. L. ; Fox, P. T.

2009
Frontiers Research Foundation Lausanne

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Please use a persistent id in citations: doi:10.3389/neuro.11.023.2009

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.

Note: Record converted from VDB: 12.11.2012

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Contributing Institute(s):

1. Molekulare Organisation des Gehirns (INM-2)

Research Program(s):

1. Funktion und Dysfunktion des Nervensystems (P33)

Appears in the scientific report 2009

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Database coverage:
; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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