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The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data
Angela R Laird1, Simon B Eickhoff, P Mickle Fox
1Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA. lairda@uthscsa.edu.
BMC Research Notes
|September 13, 2011
Summary
The BrainMap project enhances neuroimaging meta-analysis with updated tools and educational resources. This supports researchers in synthesizing human brain structure and function data for robust knowledge convergence.
Area of Science:
- Neuroimaging
- Cognitive Neuroscience
- Biomedical Research
Background:
- Neuroimaging research relies on community standards for data and metadata.
- These standards facilitate meta-analysis to synthesize knowledge on human brain structure and function.
- The BrainMap project leverages these standards to support quantitative coordinate-based meta-analysis.
Purpose of the Study:
- To describe recent technical updates to the BrainMap project.
- To provide an educational guide for conducting meta-analyses within the BrainMap environment.
- To highlight the project's role in advancing neuroimaging research.
Main Methods:
- Utilizing established neuroimaging data and metadata standards.
- Employing the BrainMap project's databases and software tools.
- Focusing on quantitative coordinate-based meta-analysis techniques.
Main Results:
- Recent technical advancements in the BrainMap project have been implemented.
- An educational framework for performing meta-analyses in BrainMap is detailed.
- The project's resources are updated to meet evolving research needs.
Conclusions:
- The BrainMap project is committed to ongoing development based on meta-analytic needs.
- Future advancements in software and hardware will further support neuroimaging researchers.
- The project aims to foster continued convergence of knowledge in brain structure and function studies.
