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Only baseline scans were used for training and modeling purposes. Features from these scans were extracted and aligned with clinical data using a shared record_id key. These features contribute to downstream modeling of treatment response and biotyping.

Processing Pipeline

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Baseline OPTIMUM scans were processed using the HCP-ABCD pipeline. Freesurfer outputs from this were used to extract anatomical statistics. Functional scans were also processed via the ABCD pipeline, followed by denoising with XCP. The denoised outputs (TSVs) used Schaefer-156 parcellation and were processed into ROI-to-ROI and network-level connectivity matrices. Diffusion scans were preprocessed with QSIPREP, and tractography was performed using probabilistic methods.

All code used for the processing pipeline will be committed to the BAARD github repository. For more information or detailed breakdown of the processing pipeline please e-mail Hassan.Abdulrasul@camh.ca

Path to outputsPath to data

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A full MRI data dictionary — including descriptions of parcellation variables, QC flags — is maintained in markdown and .txt format. These will be converted into human-readable HTML or CSV and integrated into Confluence once the formatting space is finalized.

Attached Here:

MRI Quality Control (QC) Summary

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