HBCD Processing Pipelines🔗

HBCD 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. See Derivatives documentation for details on processed outputs.

The table below also includes links to the NMIND Evaluated Tools page for each pipeline - see Processing & Derivative Standards for details.

Processing Pipeline	NMIND	Pipeline Description
Structural & Functional MRI
MRIQC		Extracts image quality metrics from structural and functional MRI data
BME-X		Structural pipeline for T1w/T2w image quality enhancement
BIBSNet		Deep learning model for brain segmentation
infant-fMRIPrep		Structural and functional MRI preprocessing pipeline
XCP-D		Functional MRI post-processing and noise regression pipeline
Quantitative MRI
qMRI Postproc		Minimal post-processing for SyMRI synthetic images
Diffusion MRI
QSIPrep		dMRI data preprocessing pipeline
QSIRecon		dMRI post-processing workflows for reconstruction of preprocessed q-space images
MRS
OSPREY-BIDS		MRS data processing pipeline
EEG
HBCD-MADE		Maryland Analysis of Developmental EEG (MADE) pipeline adapted for HBCD
Biosensors
HBCD-Motion		Leg movement sensor data processing

Pipeline Configuration🔗

The full details on how each pipeline was executed and configured is available in the complete HBCD Processing documentation. All pipeline-specific parameters are detailed under Tool Names, including File Selection For Processing and Quality Control Selection Information documentation.