4.1.1.5. nilearn.datasets.fetch_nyu_rest

nilearn.datasets.fetch_nyu_rest(n_subjects=None, sessions=[1], data_dir=None, verbose=0)

Download and loads the NYU resting-state test-retest dataset.

Parameters :

n_subjects: int, optional :

The number of subjects to load. If None is given, all the subjects are used.

sessions: iterable of int, optional :

The sessions to load. Load only the first session by default.

data_dir: string, optional :

Path of the data directory. Used to force data storage in a specified location. Default: None

Returns :

data: sklearn.datasets.base.Bunch :

Dictionary-like object, the interest attributes are : ‘func’: string list. Paths to functional images. ‘anat_anon’: string list. Paths to anatomic images. ‘anat_skull’: string. Paths to skull-stripped images. ‘session’: numpy array. List of ids corresponding to images sessions.

Notes

This dataset is composed of 3 sessions of 26 participants (11 males). For each session, three sets of data are available:

• anatomical:
  • anonymized data (defaced thanks to BIRN defacer)
  • skullstripped data (using 3DSkullStrip from AFNI)
• functional

For each participant, 3 resting-state scans of 197 continuous EPI functional volumes were collected :

• 39 slices
• matrix = 64 x 64
• acquisition voxel size = 3 x 3 x 3 mm

Sessions 2 and 3 were conducted in a single scan session, 45 min apart, and were 5-16 months after Scan 1.

All details about this dataset can be found here : http://cercor.oxfordjournals.org/content/19/10/2209.full

References

Documentation :

http://www.nitrc.org/docman/?group_id=274

Download :

http://www.nitrc.org/frs/?group_id=274

Paper to cite:

The Resting Brain: Unconstrained yet Reliable Z. Shehzad, A.M.C. Kelly, P.T. Reiss, D.G. Gee, K. Gotimer, L.Q. Uddin, S.H. Lee, D.S. Margulies, A.K. Roy, B.B. Biswal, E. Petkova, F.X. Castellanos and M.P. Milham.

Other references:  

• The oscillating brain: Complex and Reliable X-N. Zuo, A. Di Martino, C. Kelly, Z. Shehzad, D.G. Gee, D.F. Klein, F.X. Castellanos, B.B. Biswal, M.P. Milham
• Reliable intrinsic connectivity networks: Test-retest evaluation using ICA and dual regression approach, X-N. Zuo, C. Kelly, J.S. Adelstein, D.F. Klein, F.X. Castellanos, M.P. Milham