The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data

By A. R. Laird, Simon B. Eickhoff, M. Fox, Angela M. Uecker, Kimberly L. Ray, J. J. Sáenz, R. McKay, Danilo Bzdok, R. Laird, Jennifer L. Robinson and 4 more. 2011

214 citations recorded by the source corpus.

BackgroundNeuroimaging researchers have developed rigorous community data and metadata standards that encourage meta-analysis as a method for establishing robust and meaningful convergence of knowledge of human brain structure and function. Capitalizing on these standards, the BrainMap project offers databases, software applications, and other associated tools for supporting and promoting quantitative coordinate-based meta-analysis of the structural and functional neuroimaging literature.FindingsIn this report, we describe recent technical updates to the project and provide an educational description for performing meta-analyses in the BrainMap environment.ConclusionsThe BrainMap project will continue to evolve in response to the meta-analytic needs of biomedical researchers in the structural and functional neuroimaging communities. Future work on the BrainMap project regarding software and hardware advances are also discussed.

Subfields: Biophysics, Cognitive Neuroscience, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biophysics

1. Peter T. Fox
2. Simon B. Eickhoff
3. Angela R. Laird

In Cognitive Neuroscience

1. Simon B. Eickhoff
2. Angela R. Laird
3. Peter T. Fox
4. Nils Kohn
5. M. Scheller
6. Ute Habel
7. John A. Clithero
8. Antonio Rangel

In Statistics and Probability

1. Peter T. Fox
2. Simon B. Eickhoff
3. Angela R. Laird

Citations in the corpus

• The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture (2016, unknown): “The functional characterizations of each subregion in the Brainnetome Atlas are illustrated based on their behavioral domain | Cerebral Cortex3512 , 2016, Vol. 26, No. 8 and paradigm class meta data labels following the BrainMap taxonomy (http://www.brainmap.org/taxonomy).”
• Neural network of cognitive emotion regulation — An ALE meta-analysis and MACM analysis (2013, methodology): “Paradigm classes categorize the specific task employed (Turner and Laird, 2011; see http://brainmap.org/scribe/ for the complete BrainMap taxonomy).”