The Markov et al. (2014) 91 cortical region atlas forms the basis of the 29x91 quantitative connectivity matrix published in the same publication. This atlas is also available at core-nets.org.
Terms of use
The Scalable Brain Atlas does not "own" any of its templates. To ensure that the atlas makers receive proper credit, you must abide by our citation policy. In brief, always (1) cite each data source that contributed to your analysis, and (2) cite the Scalable Brain Atlas main publication and plugin references where appropriate.The defining citations for this atlas template are:
Markov NT, Ercsey-Ravasz MM, Ribeiro Gomes AR, Lamy C, Magrou L, Vezoli J, Misery P, Falchier A, Quilodran R, Gariel MA, Sallet J, Gamanut R, Huissoud C, Clavagnier S, Giroud P, Sappey-Marinier D, Barone P, Dehay C, Toroczkai Z, Knoblauch K, Van Essen DC, Kennedy H (2014) "A weighted and directed interareal connectivity matrix for macaque cerebral cortex." Cereb Cortex 24(1):17-36. [doi 10.1093/cercor/bhs270]
Downloads
It is recommended that you download atlas data directly from the original data source. This will give you the most recent version of the data with the highest resolution. In case you can't find the data at the original source, the Scalable Brain Atlas provides selected (downsampled) datasets for your convenience. The license terms of the original data source apply.
labels: Atlas labels The label index mapper converts label indices to acronyms, full names, and rgb-values.
coronal_svg: Coronal sections of the label volume "MERetal14.nii", converted to Scalable Vector Graphics. Brain regions are color-coded by the RGB to Acronym map, which can be chained with the Acronym to Fullname map.