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Standardizing human brain parcellations.

Ross M Lawrence1, Eric W Bridgeford2, Patrick E Myers2

  • 1Johns Hopkins University, Baltimore, MD, 12218, USA. rlawre18@jhmi.edu.

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|March 9, 2021
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Summary
This summary is machine-generated.

Standardizing human brain atlases is crucial for consistent neuroimaging analysis. This work consolidates popular atlases into an open-source library, improving transparency and reproducibility in neuroscience research.

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Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Neuroanatomy

Background:

  • Accurate localization of brain regions of interest is essential for valid statistical inferences in neuroscience.
  • Existing human brain atlases lack standardization in orientation, resolution, labeling, file format, and coordinate space.
  • This inconsistency hinders comparability and transparency across studies.

Purpose of the Study:

  • To address the lack of standardization in human brain atlases.
  • To create a consolidated, open-source library of popular human brain atlases.
  • To facilitate consistent and transparent neuroimaging data analysis.

Main Methods:

  • Consolidation of a wide selection of popular human brain atlases.
  • Development of a standardized protocol for atlas storage and metadata.
  • Implementation of relevant transformation functions for coordinate space management.

Main Results:

  • Creation of a single, curated, open-source library of human brain atlases.
  • Standardized storage protocol ensuring consistency in atlas representation.
  • Availability of transformation functions for atlas utilization.

Conclusions:

  • The developed library provides a standardized foundation for human brain atlases.
  • This initiative promotes consistency, transparency, and reproducibility in neuroscientific research.
  • The open-source repository serves as a basis for future atlas development and integration.