Abstract | ||
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The core concept within the field of brain mapping is the use of a standardized, or “stereotaxic”, 3D coordinate frame for data analysis and reporting of findings from neuroimaging experiments. This simple construct allows brain researchers to combine data from many subjects such that group-averaged signals, be they structural or functional, can be detected above the background noise that would swamp subtle signals from any single subject. Where the signal is robust enough to be detected in individuals, it allows for the exploration of inter-individual variance in the location of that signal. From a larger perspective, it provides a powerful medium for comparison and/or combination of brain mapping findings from different imaging modalities and laboratories around the world. Finally, it provides a framework for the creation of large-scale neuroimaging databases or “atlases” that capture the population mean and variance in anatomical or physiological metrics as a function of age or disease. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1016/j.neuroimage.2012.01.024 | NeuroImage |
Keywords | Field | DocType |
Brain atlases,MRI templates,Spatial normalization,Databases | Brain mapping,Population,Computer vision,Experimental data,Computer science,Data acquisition,Coordinate space,Spatial normalization,Artificial intelligence,Neuroimaging,Conceptual framework | Journal |
Volume | Issue | ISSN |
62 | 2 | 1053-8119 |
Citations | PageRank | References |
63 | 1.71 | 92 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alan C. Evans | 1 | 3045 | 574.95 |
Andrew L. Janke | 2 | 236 | 16.23 |
D. Louis Collins | 3 | 3915 | 403.90 |
Sylvain Baillet | 4 | 518 | 45.76 |