High-field (7T) high-resolution (1.2mm) fMRI and eye tracking data from human subjects repeatedly watching 5-minute clips of naturalistic (cinematic) movie content without sound. A high number of repeated stimulus presentations and fMRI acquisitions at two different resolutions (1.2mm and 2mm isotropic) were chosen to investigate the accuracy of machine-learning classifiers and to test its dependence on fMRI resolution. Please find details in below publication Mandelkow et al. 2017, which should be quoted as a reference. All data were acquired at the National Institutes of Health under NINDS protocol 00-N-0082 in 2012-2015.
Effects of spatial fMRI resolution on the classification of naturalistic movies,
H. Mandelkow, J.A. de Zwart, J.H. Duyn, 2017, NeuroImage
https://doi.org/10.1016/j.neuroimage.2017.08.053
Keywords: fMRI; High-resolution; High-field; 7T; Multivariate pattern analysis; MVPA; Naturalistic stimuli; Movies; Eye tracking
NOTE: This dataset comprises 7 subjects, 4 with >16 movie stimulus repetitions. Of the original 10 subjects three were discarded without analysis due to subsequent changes in the experimental protocol (MRI sequences).
One run of BOLD fMRI data in Nifti format (.nii.gz).
sub-##: human subject number ##ses-##: experimental session number ## (1-5 separate sessions per subject)task-*: stimulus presented (5' movie clip)task-Mx1: The Matrix I opening scenetask-Mx2: The Matrix IItask-Gbu1: The Good, the Bad, and the Uglytast-ffMRI: single-slice (fast) fMRI with high temporal resolution without stimulus e.g. for characterizing cardiac artifacts
acq-Hr/acq-Lr: Higher- / Lower-resolution fMRI at 1.2mm / 2mm isotropicrun-#: experimental run number within each fMRI session in temporal order
*_vpset0.txt: calibration before movie start*_vpset1.txt: calibration at movie start*_vpdat.txt: eye-tracking data*_vpset2.txt: calibration at movie end*_vpset3.txt: calibration after movie end
