NKI enhanced surface dataset

Access

See nilearn.datasets.fetch_surf_nki_enhanced and nilearn.datasets.load_nki.

Notes

Enhanced Nathan Kline Institute-Rockland Sample resting state fMRI data (TR=645ms) of 102 subjects, preprocessed and projected to the fsaverage5 surface according to https://github.com/fliem/nki_nilearn. Contains phenotypical metadata.

Direct download link: http://fcon_1000.projects.nitrc.org/indi/enhanced/.

See Nooner et al.[1].

Content

This refers to the content returned by nilearn.datasets.fetch_surf_nki_enhanced.

‘func_left’:

resting-state data for the left hemisphere

‘func_right’:

resting-state data for the right hemisphere

‘phenotypic’:

phenotypical metadata

References

[1]

Kate Nooner, Stanley Colcombe, Russell Tobe, Maarten Mennes, Melissa Benedict, Alexis Moreno, Laura Panek, Shaquanna Brown, Stephen Zavitz, Qingyang Li, Sharad Sikka, David Gutman, Saroja Bangaru, Rochelle Tziona Schlachter, Stephanie Kamiel, Ayesha Anwar, Caitlin Hinz, Michelle Kaplan, Anna Rachlin, Samantha Adelsberg, Brian Cheung, Ranjit Khanuja, Chaogan Yan, Cameron Craddock, Vincent Calhoun, William Courtney, Margaret King, Dylan Wood, Christine Cox, Clare Kelly, Adriana DiMartino, Eva Petkova, Philip Reiss, Nancy Duan, Dawn Thompsen, Bharat Biswal, Barbara Coffey, Matthew Hoptman, Daniel Javitt, Nunzio Pomara, John Sidtis, Harold Koplewicz, Francisco Castellanos, Bennett Leventhal, and Michael Milham. The nki-rockland sample: a model for accelerating the pace of discovery science in psychiatry. Frontiers in Neuroscience, 6:152, 2012. doi:10.3389/fnins.2012.00152.

License

unknown