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1. FSFAST Tutorial Data Description

The functional data were collected as part of the Functional Biomedical Research Network (fBIRN).

2. Functional Paradigm

The paradigm was designed to study the effects of emotional stimuli on the ability to recall items stored in working memory.

The above yields 5 conditions:

  1. Encode
  2. Emotional Distractor
  3. Neutral Distractor
  4. Probe following Emotional Distractor
  5. Probe following Neutral Distractor

The scrambled image will be modeled as a baseline, not as a condition.

3. Functional Data

4. Anatomical Data

If you are at a FreeSurfer Course, continue on to the next page now

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5. Getting the Data (not necessary for the Boston FreeSurfer Course)

You can get the analyzed functional data (10G) from:


You can get the structural data (5G) from:


6. Organizing the Tutorial (not necessary for the Boston FreeSurfer Course)

cd to a place on your network where you have enough space to unpack the tutorial data.

cd /place/with/space

Untar the data

tar xvfz fsfast-tutorial.tar.gz
tar xvfz fsfast-tutorial.subjects.tar.gz

You will need to set the TUTORIAL_DATA environment variable. In bash

export TUTORIAL_DATA=/place/with/space

You will also need to link the FreeSurfer anatomical subjects (data in fsfast-tutorial.subjects) into your $SUBJECTS_DIR. You should set the FSFAST output format to be compressed NIFTI (nii.gz):

export FSF_OUTPUT_FORMAT=nii.gz

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FsFastTutorialV6.0/TutorialData (last edited 2017-02-22 18:02:58 by AllisonMoreau)