This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.

7.2.18. nilearn.datasets.fetch_icbm152_2009

nilearn.datasets.fetch_icbm152_2009(data_dir=None, url=None, resume=True, verbose=1)

Download and load the ICBM152 template (dated 2009)

data_dir: string, optional

Path of the data directory. Used to force data storage in a non- standard location. Default: None (meaning: default)

url: string, optional

Download URL of the dataset. Overwrite the default URL.

data: sklearn.datasets.base.Bunch

dictionary-like object, interest keys are: “t1”, “t2”, “t2_relax”, “pd”: anatomical images obtained with the given modality (resp. T1, T2, T2 relaxometry and proton density weighted). Values are file paths. “gm”, “wm”, “csf”: segmented images, giving resp. gray matter, white matter and cerebrospinal fluid. Values are file paths. “eye_mask”, “face_mask”, “mask”: use these images to mask out parts of mri images. Values are file paths.


For more information about this dataset’s structure:

The original download URL is


VS Fonov, AC Evans, K Botteron, CR Almli, RC McKinstry, DL Collins and BDCG, “Unbiased average age-appropriate atlases for pediatric studies”, NeuroImage,Volume 54, Issue 1, January 2011

VS Fonov, AC Evans, RC McKinstry, CR Almli and DL Collins, “Unbiased nonlinear average age-appropriate brain templates from birth to adulthood”, NeuroImage, Volume 47, Supplement 1, July 2009, Page S102 Organization for Human Brain Mapping 2009 Annual Meeting.

DL Collins, AP Zijdenbos, WFC Baare and AC Evans, “ANIMAL+INSECT: Improved Cortical Structure Segmentation”, IPMI Lecture Notes in Computer Science, 1999, Volume 1613/1999, 210-223 Examples using nilearn.datasets.fetch_icbm152_2009