ds007384

This dataset contains the fMRIPrep derivatives for
*hyperface: a naturalistic fMRI dataset to characterize human face processing*, by
Matteo Visconti di Oleggio Castello, Guo Jiahui, Ma Feilong, Manon de
Villemejane, James V. Haxby, and M. Ida Gobbini.

Because all 21 subjects also took part in the Grand Budapest Hotel study
and 11 subjects took part in the Identity Decoding study, this
derivative dataset can be used also when analyzing those datasets.

Sample code for the QA analyses is available at
https://github.com/mvdoc/hyperface-data-paper.

The hyperface raw data is available at
https://openneuro.org/datasets/ds007329.

The hyperface FreeSurfer derivatives are available at
https://openneuro.org/datasets/ds007378.

The Grand Budapest Hotel raw data is available at
https://openneuro.org/datasets/ds003017. See also the associated paper:
Visconti di Oleggio Castello, M., Chauhan, V., Jiahui, G., & Gobbini, M.
I. (2020). *An fMRI dataset in response to "The Grand Budapest Hotel", a
socially-rich, naturalistic movie*. Scientific Data, 7(1), 1-9.
https://doi.org/10.1038/s41597-020-00735-4

The identity decoding raw data is available at
https://openneuro.org/datasets/ds003834. See also the associated paper:
Visconti di Oleggio Castello, M., Haxby, J.V., & Gobbini, M.I. (2021).
*Shared neural codes for visual and semantic information about familiar
faces in a common representational space*. Proceedings of the National
Academy of Sciences. https://doi.org/10.1073/pnas.2110474118

See also the associated paper:
Jiahui, G., Feilong, M., Visconti di Oleggio Castello, M., Nastase, S.A.,
Haxby, J.V., & Gobbini, M.I. (2023). *Modeling naturalistic face processing
in humans with deep convolutional neural networks*. Proceedings of the National
Academy of Sciences. https://doi.org/10.1073/pnas.2304085120

If you use this dataset or the code, please cite the corresponding
paper: TODO

### Notes

Data were preprocessed with fMRIPrep version 25.1.4. All anatomicals
(T1w, T2w) were defaced with `pydeface` prior to preprocessing.

### Contact information

For questions on this dataset, please contact Matteo Visconti di Oleggio
Castello ([e-mail]).