Example DICOM dataset of a functional BOLD fMRI scan
These data can be useful for tests and demos. Enjoy!
Information on stimulus type and timing are available in the
in BIDS format.
This dataset is a minimal excerpt of one aspect of the studyforrest extension dataset published in:
Sengupta, A., Kaule, F. R., Guntupalli, J. S., Hoffmann, M. B., Häusler, C., Stadler, J. & Hanke, M. (2016). A studyforrest extension, retinotopic mapping and localization of higher visual areas. Scientific Data, 3:160093.
Three sizes of this dataset are provided in three branches to cater to different use cases
A full single run of a block design visual localizer experiment with six images categories, where each category appeared in two blocks. 156 volumes.
Only the first half of the experiment run -- still with all six image categories, but only one block for each category. This variant can be processed quicker, but may be less useful for demoing a real analysis. 78 volumes.
Even shorter than half, covering the first stimulation block include pre- and post-stimulation rest phase only. 18 volume. This is mostly useful for technical validation.
DICOM header were anonymized, and certain field values have been reset using the following command
gdcmanon --dumb --remove 400,500 --remove 12,62 --remove 12,63 \ --replace 0008,103E,func_task-oneback_run-1 \ --replace 0018,1030,func_task-oneback_run-1 \ --replace 0008,1030,Hanke_Stadler^0083_transrep2 \ --replace 0010,0010,Jane_Doe \ --replace 0010,0020,02 \ --replace 0010,0040,F \ --replace 0010,1010,42 \ --replace 0010,1030,75 \ --replace 0010,0030,19660101 \ -i ... -o ...
This work was supported by the German Federal Ministry of Education and Research (BMBF 01GQ11112), the German federal state of Saxony-Anhalt and the European Regional Development Fund (ERDF), Project: Center for Behavioral Brain Sciences, Imaging Platform.