UCLA Consortium for Neuropsychiatric Phenomics LA5c Study

Dataset Overview

Dataset Name

UCLA Consortium for Neuropsychiatric Phenomics LA5c Study

Data Source

The dataset originates from the preprocessed data of Gorgolewski KJ, Durnez J, and Poldrack RA, as detailed in F1000Research 2017, 6:1262.

Data Access

The dataset can be accessed via the following links:

• https://legacy.openfmri.org/dataset/ds000030/
• s3://openneuro/ds000030/ds000030_R1.0.5/uncompressed/derivatives/

Participant Information

Participant information is contained in the participants.tsv file, including participant IDs, demographic data, and the scans available for each participant.

Dataset Derivatives

Derivatives are stored in the /derivatives directory and include:

1. Final_Scan_Count.pdf – a chart showing overall scan coverage.
2. parameter_plots/ – multiple scan parameters over time, color‑coded by imaging site.
3. physio_plots/ – physiological recordings for breathing pauses and resting‑state functional scans.
4. event_plots/ – simple charts of functional task event files.
5. mriqc/ – outputs of the MRI quality control protocol, including numerical results for anatomical and functional protocols and comparative plots for individual participants versus the cohort.
6. data_browser/ – a basic data visualization tool for MRIQC.

Scan‑Specific Notes

• All scan files were converted from scanner DICOM files using dcm2niix.
• Additional DICOM metadata were extracted with GDCM and merged into a .json sidecar for each scan.
• Regarding scan and task timing: in most cases, trigger times have been transferred to the TaskParameter section of the _bold.json file.

Anatomical Scans

• T1w anatomical scans were de‑identified using Freesurfer's mri_deface.

Task‑Specific Notes

• PAMenc/PAMret: early study design changes caused previously collected data to be excluded.
• Stop‑Signal task includes a training task (no MRI) and an fMRI task performed inside the scanner.

Known Issues

Approximately 20 % of T1‑weighted images show aliasing artefacts likely caused by headphones, which can appear as ghosting that may cover one or both temporal lobes. A list of affected participants has been added to the dataset.