Michigan Longitudinal Study

# Michigan Longitudinal Study: Monetary Incentive Delay Task

Structural: Low and High resolution.
Functional: Monetary Incentive Delay task BOLD

## Uploaded onto Openn-Neuro by

Michael Demidenko in relation to the project on the [analytic impacts on test-retest reliability]( https://doi.org/10.1162/imag_a_00262)

## Provenance
Collected at the University of Michigan under the grant: R01AA012217. Original Owners and curators: Mary Heitzeg, PhD; Data Manager: Mary Soules. Data transferred from University of Michigan to Stanford University November 2022.

Relevant info for data:

- [NIHReporter Neuropsych Cohort](https://reporter.nih.gov/project-details/8896367)
- [Pub 1](https://doi.org/10.1523/JNEUROSCI.1390-11.2012)
- [Pub 2](https://doi.org/10.1111/j.1530-0277.2007.00605.x)

## Access Restrictions
Any questions regarding other data use should be made to Mary Soules and Mary Heitzeg, PhD.

## Data notes
Converted with mids2bids by Ryan Klaus and Mary Soules with support from Krisanne Litinas.
For some subjects MID runs for a session are unavailable/corrupt, so alternative session combo was recommended.

Command used for fMRIPrep v23.1.4:

```html
singularity run --cleanenv \
-B ${DATA_DIR}:/data:ro -B ${DATA_OUT}:/out
${SIMG_DIR}/fmriprep-23.1.4.simg
/data /out participant
--skip_bids_validation
--participant-label sub-${subj}
--fs-license-file ${FS_LICENSE}
--fd-spike-threshold .9
--output-space MNI152NLin2009cAsym:res-2
--project-goodvoxels
--cifti-output 91k
--work-dir ${SCRATCH}
```

Command used for MRIQC v23.1.0:

```html
singularity run --cleanenv
-B $OAK:$OAK
-B $OAK/data/templateflow:/opt/templateflow
-B ${L_SCRATCH}:/tmp ${GROUP_HOME}/singularity_images/mriqc_23.1.0rc0.simg
${BIDS_DIR} ${OUTPUT_DIR} participant
--participant-label ${sub}
--ants-nthreads 8
--nprocs 12
--mem_gb 30
-vv --dsname MLS
--verbose-reports
-w /tmp/work -m bold T1w T2w
```

Command used for taskdescribe_v1.0:

For each session and run, there is a derivatives folder summarizing the behavioral data in an JSON or PNG image. These were calculated based on the associated events.tsv files. The PNG files are meant to be used as a quick summary of the behavioral performance throughout the task/run/session