TY  - JOUR
AU  - Laird, A.R.
AU  - Eickhoff, S. B.
AU  - Kurth, F.
AU  - Fox, P.M.
AU  - Uecker, A.M.
AU  - Turner, J.A.
AU  - Robinson, J.L.
AU  - Lancaster, J.L.
AU  - Fox, P.T.
TI  - ALE meta-analysis workflows via the BrainMap database: progress towards a probabilistic functional brain altlas
JO  - Frontiers in Neuroinformatics
VL  - 3
SN  - 1662-5196
CY  - Lausanne
PB  - Frontiers Research Foundation
M1  - PreJuSER-5390
SP  - 1 - 11
PY  - 2009
N1  - Record converted from VDB: 12.11.2012
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - pmid:19636392
C2  - pmc:PMC2715269
DO  - DOI:10.3389/neuro.11.023.2009
UR  - https://juser.fz-juelich.de/record/5390
ER  -