SPM multimodal dataset

Access

See nilearn.datasets.fetch_spm_multimodal_fmri.

Notes

The example shows the analysis of an SPM dataset studying face perception. The analysis is performed in native space. Realignment parameters are provided with the input images, but those have not been resampled to a common space.

The experimental paradigm is simple, with two conditions: viewing a face image or a scrambled face image, supposedly with the same low-level statistical properties, to find face-specific responses.

See SPM Multi-modal Face Dataset[1].

Content

‘func1’:

Paths to functional images for run 1

‘func2’:

Paths to functional images for run 2

‘trials_ses1’:

Path to onsets file for run 1

‘trials_ses2’:

Path to onsets file for run 2

‘anat’:

Path to anat file

References

[1]

Spm multi-modal face dataset. http://www.fil.ion.ucl.ac.uk/spm/data/mmfaces/. Accessed: 2021-05-19.

For details on the data, please see Henson et al.[2].

License

unknown