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

Angela R. Laird; Simon B. Eickhoff; P. Mickle Fox; Angela M. Uecker; Kimberly L. Ray; Juan J. Saenz; D. Reese McKay; Danilo Bzdok; Robert W. Laird; Jennifer L. Robinson; Jessica A. Turner; Peter E. Turkeltaub; Jack L. Lancaster; Peter T. Fox

doi:10.1186/1756-0500-4-349

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

Angela R. Laird, Simon B. Eickhoff, P. Mickle Fox, Angela M. Uecker, Kimberly L. Ray, Juan J. Saenz, D. Reese McKay, Danilo Bzdok, Robert W. Laird, Jennifer L. Robinson, Jessica A. Turner, Peter E. Turkeltaub, Jack L. Lancaster, Peter T. Fox

Department of Radiology

Research output: Contribution to journal › Article › peer-review

172 Scopus citations

Abstract

Background: Neuroimaging 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. Findings. In this report, we describe recent technical updates to the project and provide an educational description for performing meta-analyses in the BrainMap environment. Conclusions: The 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.

Original language	English (US)
Article number	349
Journal	BMC Research Notes
Volume	4
DOIs	https://doi.org/10.1186/1756-0500-4-349
State	Published - 2011

Keywords

ALE
BrainMap
activation likelihood estimation
functional neuroimaging
meta-analysis
neuroinformatics
structural neuroimaging

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology

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Laird, A. R., Eickhoff, S. B., Fox, P. M., Uecker, A. M., Ray, K. L., Saenz, J. J., McKay, D. R., Bzdok, D., Laird, R. W., Robinson, J. L., Turner, J. A., Turkeltaub, P. E., Lancaster, J. L., & Fox, P. T. (2011). The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data. BMC Research Notes, 4, Article 349. https://doi.org/10.1186/1756-0500-4-349

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

abstract = "Background: Neuroimaging 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. Findings. In this report, we describe recent technical updates to the project and provide an educational description for performing meta-analyses in the BrainMap environment. Conclusions: The 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.",

keywords = "ALE, BrainMap, activation likelihood estimation, functional neuroimaging, meta-analysis, neuroinformatics, structural neuroimaging",

author = "Laird, {Angela R.} and Eickhoff, {Simon B.} and Fox, {P. Mickle} and Uecker, {Angela M.} and Ray, {Kimberly L.} and Saenz, {Juan J.} and McKay, {D. Reese} and Danilo Bzdok and Laird, {Robert W.} and Robinson, {Jennifer L.} and Turner, {Jessica A.} and Turkeltaub, {Peter E.} and Lancaster, {Jack L.} and Fox, {Peter T.}",

note = "Funding Information: This work was supported by grants from the National Institute of Mental Health (R01-MH074457 and R01-MH084812) and the Helmholz Initiative on Systems-Biology “The Human Brain Model”.",

year = "2011",

doi = "10.1186/1756-0500-4-349",

language = "English (US)",

volume = "4",

journal = "BMC Research Notes",

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AU - Laird, Angela R.

AU - Eickhoff, Simon B.

AU - Fox, P. Mickle

AU - Uecker, Angela M.

AU - Ray, Kimberly L.

AU - Saenz, Juan J.

AU - McKay, D. Reese

AU - Bzdok, Danilo

AU - Laird, Robert W.

AU - Robinson, Jennifer L.

AU - Turner, Jessica A.

AU - Turkeltaub, Peter E.

AU - Lancaster, Jack L.

AU - Fox, Peter T.

N1 - Funding Information: This work was supported by grants from the National Institute of Mental Health (R01-MH074457 and R01-MH084812) and the Helmholz Initiative on Systems-Biology “The Human Brain Model”.

PY - 2011

Y1 - 2011

N2 - Background: Neuroimaging 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. Findings. In this report, we describe recent technical updates to the project and provide an educational description for performing meta-analyses in the BrainMap environment. Conclusions: The 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.

AB - Background: Neuroimaging 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. Findings. In this report, we describe recent technical updates to the project and provide an educational description for performing meta-analyses in the BrainMap environment. Conclusions: The 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.

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

Abstract

Keywords

ASJC Scopus subject areas

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