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Laird AR, Eickhoff SB, Kurth F, et al. ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas. Front Neuroinform. 2009;3:23doi: 10.3389/neuro.11.023.2009.
Laird, A. R., Eickhoff, S. B., Kurth, F., Fox, P. M., Uecker, A. M., Turner, J. A., Robinson, J. L., Lancaster, J. L., & Fox, P. T. (2009). ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas. Frontiers in neuroinformatics, 323. https://doi.org/10.3389/neuro.11.023.2009
Laird, Angela R, et al. "ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas." Frontiers in neuroinformatics vol. 3 (2009): 23. doi: https://doi.org/10.3389/neuro.11.023.2009
Laird AR, Eickhoff SB, Kurth F, Fox PM, Uecker AM, Turner JA, Robinson JL, Lancaster JL, Fox PT. ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas. Front Neuroinform. 2009 Jul 09;3:23. doi: 10.3389/neuro.11.023.2009. eCollection 2009. PMID: 19636392; PMCID: PMC2715269.
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Front Neuroinform. 2009 Jul 09;3:23. doi: 10.3389/neuro.11.023.2009. eCollection 2009.

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

Frontiers in neuroinformatics

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

Affiliations

  1. Research Imaging Center, University of Texas Health Science Center San Antonio, TX, USA.

PMID: 19636392 PMCID: PMC2715269 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.

Keywords: BrainMap; activation likelihood estimation; functional atlas; meta-analysis; ontology

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