CeCill v2 Yes Wake forest University NITRC Dictionary learning based functional atlases in four primate species (mouse lemurs, marmosets, macaques, and humans) Yes BOLD images were acquired in mouse lemurs, marmosets, macaques, and humans Each functional atlas was made using a dictionary learning analysis with 7 components on pre-treated BOLD images. Each component was concatenated and labeled to create each atlas. The atlases were broken into functional regions automatically and manually. For each species: DL7cpts_DicL_yung.nii.gz ==> result of the dictionary learning dict_learning_7compos_concat.nii.gz ==> functional atlas dict_learning_7compos_concat_break.nii.gz ==> functional atlas breaks automatically into functional regions or dict_learning_7compos_concat_break_handseg.nii.gz ==> functional atlas breaks automatically and manually into functional regions if you use these atlases in a publication please cite: An evolutionary gap in primate default mode network organization Apr 2022 Cell Report 39, 2, 110669 DOI: 10.1016/j.celrep.2022.110669 https://www.sciencedirect.com/science/article/pii/S2211124722004211 Dictionary learning based functional atlases in four primate species (mouse lemurs, marmosets, macaques, and humans) MR, CeCill v2 http://www.nitrc.org/projects/prim_func_2020/