Dataset
Nature Story Listening 3T fMRI Data
- University of California, Berkeley
DOI: 10.12751/g-node.wf9cbv BROWSE REPOSITORY BROWSE ARCHIVE DOWNLOAD ARCHIVE (ZIP 28 GiB)
Published 19 May. 2023 | License Creative Commons CC0 1.0 Public Domain Dedication
Description
This dataset contains BOLD fMRI responses in human subjects listening to a set of natural autobiographic stories. The functional data were collected for eleven subjects, in two sessions over two separate days for each subject. Details of the experiment are described in the original publications.
Keywords
| Neuroscience | fMRI | Naturalistic stimuli | Voxelwise encoding models |References
- Huth, A. G., Lee, T., Nishimoto, S., Bilenko, N. Y., Vu, A. T., & Gallant, J. L. (2016). Decoding the semantic content of natural movies from human brain activity. Frontiers in systems neuroscience, 10, 81. https://doi.org/10.3389/fnsys.2016.00081
- de Heer, W. A., Huth, A. G., Griffiths, T. L., Gallant, J. L., & Theunissen, F. E.. The hierarchical cortical organization of human speech processing. Journal of Neuroscience, 37(27), 6539-6557 (2017). https://doi.org/10.1523/JNEUROSCI.3267-16.2017
- Deniz, F., Nunez-Elizalde, A. O., Huth, A. G., & Gallant, J. L.. The representation of semantic information across human cerebral cortex during listening versus reading is invariant to stimulus modality. Journal of Neuroscience, 39(39), 7722-7736 (2019). https://doi.org/10.1523/JNEUROSCI.0675-19.2019
- Gong, X., Huth, A. G., Johnson, K., Gallant, J. L., & Theunissen, F. E.. Phonemic segmentation of narrative speech in human cerebral cortex. Nature Communications, (2023)
- Gong, X., Theunissen, F. E.. (2023) Phoneme Segmentation (Version 0.0.1) [Computer software]. https://doi.org/10.5281/zenodo.7938599
Funding
- Weil Foundation grant
- Dingwall Foundation grant in Neurolinguistics
- NSF grant 1912373