Note
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.
nilearn.datasets.fetch_icbm152_2009¶
- nilearn.datasets.fetch_icbm152_2009(data_dir=None, url=None, resume=True, verbose=1)[source]¶
Download and load the ICBM152 template (dated 2009).
The default template of fMRIPrep is the asymmetrical ICBM152 2009, release c (MNI152NLin2009cSAsym). The NiLearn template is asymmetrical ICBM152 2009, release a. If you wish to use the exact same release as fMRIPrep, please refer to TemplateFlow (https://www.templateflow.org/).
For more information, see Fonov et al.[1], Fonov et al.[2], and Collins et al.[3].
- Parameters:
- data_dir
pathlib.Path
orstr
, optional Path where data should be downloaded. By default, files are downloaded in a
nilearn_data
folder in the home directory of the user. See alsonilearn.datasets.utils.get_data_dirs
.- url
str
, default=None URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data).
- resume
bool
, default=True Whether to resume download of a partly-downloaded file.
- verbose
int
, default=1 Verbosity level (0 means no message).
- data_dir
- Returns:
- data
sklearn.utils.Bunch
Dictionary-like object, interest keys are:
“t1”: str, Path to T1-weighted anatomical image
“t2”: str, Path to T2-weighted anatomical image
“t2_relax”: str, Path to anatomical image obtained with the T2 relaxometry
“pd”: str, Path to the proton density weighted anatomical image
“gm”: str, Path to gray matter segmented image
“wm”: str, Path to white matter segmented image
“csf”: str, Path to cerebrospinal fluid segmented image
“eye_mask”: str, Path to eye mask useful to mask out part of MRI images
“face_mask”: str, Path to face mask useful to mask out part of MRI images
“mask”: str, Path to whole brain mask useful to mask out skull areas
- data
See also
nilearn.datasets.load_mni152_template
to load MNI152 T1 template.
nilearn.datasets.load_mni152_gm_template
to load MNI152 gray matter template.
nilearn.datasets.load_mni152_wm_template
to load MNI152 white matter template.
nilearn.datasets.load_mni152_brain_mask
to load MNI152 whole brain mask.
nilearn.datasets.load_mni152_gm_mask
to load MNI152 gray matter mask.
nilearn.datasets.load_mni152_wm_mask
to load MNI152 white matter mask.
nilearn.datasets.fetch_icbm152_brain_gm_mask
to fetch only ICBM gray matter mask.
Notes
For more information about this dataset’s structure: https://www.bic.mni.mcgill.ca/ServicesAtlases/ICBM152NLin2009
The original download URL is https://www.bic.mni.mcgill.ca/~vfonov/icbm/2009/mni_icbm152_nlin_sym_09a_nifti.zip
TemplateFlow repository for ICBM152 2009
Symmetric: https://github.com/templateflow/tpl-MNI152NLin2009cSym
Asymmetric: https://github.com/templateflow/tpl-MNI152NLin2009cSAsym
References
Examples using nilearn.datasets.fetch_icbm152_2009
¶
Visualizing 4D probabilistic atlas maps
Visualizing global patterns with a carpet plot
Voxel-Based Morphometry on OASIS dataset