https://surfer.nmr.mgh.harvard.edu/fswiki/FsFastTutorialV6.0/TutorialData

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

Working-memory paradigm with distractors 18 subjects Each subject has 1 run (except sess01 which has 4 runs) Collected at MGH Bay 4 (3T Siemens) FreeSurfer anatomical analyses

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

Block design Each block consisted of 3 phases Encode (16 sec) - 8 stick figures to remember (no response) Distractor (16 sec) - 8 distractor images (response whether there is a face in the image) Emotional - Distractors are emotionally disturbing Neutral - Distractors are emotionally neutral Probe (16 sec) - 8 pairs of stick figures. Subject responds as to which of the pair was in the original Encode. Between each block was a 16 sec scrambled image used as baseline. wmparadigm.jpg The above yields 5 conditions:

Encode Emotional Distractor Neutral Distractor Probe following Emotional Distractor Probe following Neutral Distractor The scrambled image will be modeled as a baseline, not as a condition.

3. Functional Data Original data: each subject had 8 runs This data: each subject has 1 run (except for sess01 who has 4) Each run lasts 142 time points TR = 2 sec. There is one run of rest data for 13 subjects There is a B0 map for each subject
4. Anatomical Data FreeSurfer analysis has been run for all 18 subjects

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5. Getting the Data (not necessary for the Boston FreeSurfer Course) You can install the freesurfer tutorial data via instructions here. Afterwards, you will need to set the TUTORIAL_DATA environment variable. In bash:

export TUTORIAL_DATA=/path/to/tutorial_data 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