metadata
license: cc-by-nc-4.0
task_categories:
- feature-extraction
tags:
- fmri
- neuroimaging
- naturalistic
- sherlock
- bids
pretty_name: Sherlock fMRI Dataset
Sherlock
Naturalistic fMRI dataset: 16 subjects watched ~50 minutes of Sherlock across two scanning runs (Part1, Part2) and then verbally recalled the narrative in the scanner. TR = 1.5 s.
This repo mirrors the fmriprep-preprocessed dataset originally distributed via DataLad at https://gin.g-node.org/ljchang/Sherlock. fmriprep version 1.2.6-1.
Layout
fmriprep/sub-XX/
anat/ func/ figures/ log/
onsets/
Sherlock_Crop_Onsets.csv
Sherlock_Recall_Scene_n50_Onsets.csv
Sherlock_Watch_Scene_N50_Onsets.csv
Sherlock_Segments_1000_NN_2017.xlsx
stimuli/
stimuli_Sherlock.m4v # Part1 video (25 min)
video_text.npy # text features
Access via dartbrains-tools
from dartbrains_tools.data import sherlock
bold = sherlock.get_file("sub-01", task="sherlockPart1", suffix="bold")
confounds = sherlock.load_confounds("sub-01", task="sherlockPart1")
See https://dartbrains.org for the full tutorial.
Citation
Chen, J., Leong, Y., Honey, C. et al. Shared memories reveal shared structure in neural activity across individuals. Nat Neurosci 20, 115–125 (2017). https://doi.org/10.1038/nn.4450
Original raw data: OpenNeuro ds002345.
License
CC-BY-NC-4.0 (matches the upstream OpenNeuro release).