Brainomics Localizer

Access

See nilearn.datasets.fetch_localizer_contrasts.

Notes

A protocol that captures the cerebral bases of auditory and visual perception, motor actions, reading, language comprehension and mental calculation at an individual level. Individual functional maps are reliable and quite precise.

You may cite Papadopoulos Orfanos et al.[1] when using this dataset.

Scientific results obtained using this dataset are described in Pinel et al.[2].

Content

‘func’:

Nifti images of the neural activity maps

‘cmaps’:

Nifti images of contrast maps

‘tmaps’:

Nifti images of corresponding t-maps

‘masks’:

Structural images of the mask used for each subject.

‘anats’:

Structural images of anatomy of each subject

References

[1]

Dimitri Papadopoulos Orfanos, Vincent Michel, Yannick Schwartz, Philippe Pinel, Antonio Moreno, Denis Le Bihan, and Vincent Frouin. The brainomics/localizer database. NeuroImage, 144:309–314, 2017. Data Sharing Part II. doi:10.1016/j.neuroimage.2015.09.052.

[2]

Philippe Pinel, Bertrand Thirion, Sébastien Meriaux, Antoinette Jobert, Julien Serres, Denis Le Bihan, Jean-Baptiste Poline, and Stanislas Dehaene. Fast reproducible identification and large-scale databasing of individual functional cognitive networks. BMC Neuroscience, 2007.

For more information about this dataset’s structure: http://brainomics.cea.fr/localizer/

License

usage is unrestricted for non-commercial research purposes.