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Example DICOM dataset for a BOLD fMRI acquisition
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README.md

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 events.tsv file 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.

http://www.nature.com/articles/sdata201693

Flavors

Three sizes of this dataset are provided in three branches to cater to different use cases

  • master

    A full single run of a block design visual localizer experiment with six images categories, where each category appeared in two blocks. 156 volumes.

  • half

    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.

  • 1block

    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.

Anonymization

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 ...

Acknowledgements

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.

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