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

Autor: Laird AR; Research Imaging Center, University of Texas Health Science Center San Antonio, TX, USA., Eickhoff SB, Kurth F, Fox PM, Uecker AM, Turner JA, Robinson JL, Lancaster JL, Fox PT
Jazyk: angličtina
Zdroj: Frontiers in neuroinformatics [Front Neuroinform] 2009 Jul 09; Vol. 3, pp. 23. Date of Electronic Publication: 2009 Jul 09 (Print Publication: 2009).
DOI: 10.3389/neuro.11.023.2009
Abstrakt: 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.
Databáze: MEDLINE