ds007378
收藏OpenNeuro2026-02-06 更新2026-03-14 收录
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# hyperface FreeSurfer derivatives
This dataset contains the FreeSurfer 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.
If you use this dataset or the code, please cite the corresponding
paper:
> Visconti di Oleggio Castello, M., Jiahui, G., Feilong, M., de
> Villemejane, M., Haxby, J. V., & Gobbini, M. I. (2026). *Hyperface: a
> naturalistic fMRI dataset for investigating human face processing*. In
> bioRxiv (p. 2026.03.11.711073). bioRxiv.
> https://doi.org/10.64898/2026.03.11.711073
See also this 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
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 fMRIPrep derivatives are available at
https://openneuro.org/datasets/ds007384.
## Associated papers and datasets
The Grand Budapest Hotel raw data is available at
https://openneuro.org/datasets/ds003017. See this paper for
more information:
> 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 this paper for more
information:
> 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
## Notes
All anatomicals (T1w, T2w) were defaced with `pydeface` prior to
running FreeSurfer's `recon-all` (version 7.3.2).
## Contact information
For questions on this dataset, please contact Matteo Visconti di Oleggio
Castello (matteo.visconti@berkeley.edu).
创建时间:
2026-02-06



