HBCD Processing Pipelines🔗

The HBCD processing pipelines are a collection of modular tools used to process HBCD Study data, including magnetic resonance imaging/spectroscopy (MRI/MRS), electroencephalography (EEG), and biosensor data. Pipeline outputs are provided within the data release as file-based derivatives. All community pipelines used for HBCD data processing must follow HBCD Processing & Derivative Data Standards. The table below includes links to the NMIND Evaluated Tools page for each pipeline.

Full technical details on how each pipeline was executed and configured is available in the HBCD Processing documentation, with pipeline-specific parameters detailed under Tool Names (e.g., 'File Selection For Processing' and 'Quality Control Selection Information').

HBCD Processing Pipelines & Relevant Links to Documentation
Pipeline Derivatives Description File Tree NMIND
Structural & Functional MRI
MRIQC mriqc/ Extracts image quality metrics from raw MRI data
BME-X bme_x/ Structural pipeline for T1w/T2w image quality enhancement
BIBSNet bibsnet/ Deep learning model for brain segmentation
Infant-fMRIPrep nibabies/ Structural and functional MRI preprocessing pipeline
FreeSurfer freesurfer/ Infant FreeSurfer surface reconstruction workflow run in fMRIPrep —
M-CRIB-S mcribs/ Neonatal surface reconstruction workflow run in fMRIPrep —
XCP-D xcp_d/ Functional MRI post-processing and noise regression pipeline
Quantitative MRI
SyMRI symri/ Synthetic image generation --
qMRI Postproc qmri_postproc/ Minimal post-processing of SyMRI images
Diffusion MRI
QSIPrep qsiprep/ dMRI data preprocessing pipeline
QSIRecon qsirecon-*/ dMRI post-processing reconstruction workflows
MR Spectroscopy
OSPREY-BIDS osprey/ MRS data processing pipeline
EEG
HBCD-MADE made/ EEG MADE pipeline adapted for HBCD
Wearable Sensors
HBCD-Motion motion/ Leg movement sensor data processing