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MRIShared neural codes for visual and semantic information about familiar faces in a common representational space
BIDS Validation
ValidREADME
This dataset contains the raw data associated with the paper Shared neural codes for visual and semantic information about familiar faces in a common representational space by Matteo Visconti di Oleggio Castello, James V. Haxby, and M. Ida Gobbini published in the Proceedings of the National Academy of Sciences.
Fourteen subjects performed a 1-back repetition detection task on faces of personally familiar identities and visually familiar identities over two scanning sessions. Hyperalignment was used to functionally align their data based on a movie dataset, "The Grand Budapest Hotel".
Sample code for the analyses is available at https://github.com/mvdoc/identity-decoding. Additional behavioral data is available at https://osf.io/ehygz/.
For more information, see the corresponding paper at https://doi.org/10.1073/pnas.2110474118.
The Grand Budapest Hotel 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
If you use this dataset or the code, please cite the corresponding paper:
Visconti di Oleggio Castello, M., Haxby, J.V., & Gobbini, M.I. Shared neural codes for visual and semantic information about familiar faces in a common representational space. Proceedings of the National Academy of Sciences (2021). https://doi.org/10.1073/pnas.2110474118
Notes
T1 anatomicals were refaced using AFNI's @afni_refacer_run
https://afni.nimh.nih.gov/pub/dist/doc/program_help/@afni_refacer_run.html
Contact information
For questions on this dataset, please contact Matteo Visconti di Oleggio Castello (matteo.visconti@berkeley.edu).
Authors
- Matteo Visconti di Oleggio Castello
- James V. Haxby
- M. Ida Gobbini
Available Modalities
MRIVersions
Tasks
fam1back, str1back, localizerUploaded by
Matteo Visconti di Oleggio Castello on 2021-10-11 - 7 months agoLast Updated
2021-11-04 - 7 months agoSessions
2Participants
14Dataset DOI
doi:10.18112/openneuro.ds003834.v1.0.2License
CC0Acknowledgements
We thank Terry Sackett and the rest of the DBIC (Dartmouth Brain Imaging Center) personnel for assistance in data collection, and Yaroslav Halchenko for preparing the BIDS dataset.How to Acknowledge
If you use this dataset or the code, please cite the 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
If you use the Grand Budapest Hotel data, please cite the 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
Funding
- NSF grant #1835200
References and Links
Ethics Approvals
- N/A
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