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Baby Open Brains: An Open-Source Repository of Infant Brain Segmentations.

Eric Feczko^1,2, Sally M Stoyell^1,3, Lucille A Moore¹

¹Masonic Institute for the Developing Brain, University of Minnesota.

Biorxiv : the Preprint Server for Biology

|October 28, 2024

Summary

Reproducibility in infant brain development research is improved by the new Baby Open Brains (BOBs) Repository. This open-source resource provides expert-reviewed infant brain segmentations as a benchmark for neuroimaging analysis.

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Area of Science:

Neuroimaging
Developmental Neuroscience
Medical Informatics

Background:

Reproducibility in infant neuroimaging research is hindered by inconsistent protocols and processing methods.
A lack of gold standard benchmarks, such as expert-curated brain segmentations, limits the development of reproducible analysis pipelines.
The early developmental period (1-9 months) exhibits significant changes in myelination and image intensity, necessitating detailed reference data.

Purpose of the Study:

To establish the Baby Open Brains (BOBs) Repository, an open-source collection of manually segmented infant brain MRI data.
To provide a benchmark resource for evaluating and enhancing neuroimaging analysis pipelines for infant populations.
To foster a community-driven, evolving resource for infant brain segmentation research.

Main Methods:

Manual segmentation of anatomical MRI data (T1w and T2w) from 71 infant imaging visits (51 participants, ages 1-9 months) by trained raters.
Expert review of all manual segmentations to ensure quality and consistency.
Publicly releasing the repository via the Masonic Institute for the Developing Brain (MIDB) Open Data Initiative, integrating S3, Datalad, and BrainBox.

Main Results:

Creation of the Baby Open Brains (BOBs) Repository containing manually curated and expert-reviewed infant brain segmentations.
Demonstration of significant anatomical variations across the 1-9 month age range, highlighting the need for detailed segmentation data.
Establishment of a publicly accessible, version-controlled, and visualized data resource.

Conclusions:

The BOBs Repository provides a crucial benchmark for validating and improving infant brain segmentation pipelines.
This open-source resource supports reproducible neuroimaging research in early development.
BOBs lays a foundational resource for large-scale early-life studies, including the Human Connectome Project Development (HCP-D) and similar initiatives.