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The Brain Analysis Library of Spatial maps and Atlases (BALSA) database.

David C Van Essen1, John Smith1, Matthew F Glasser1

  • 1Neuroscience Department, Washington University School of Medicine, St. Louis, MO, United States.

Neuroimage
|April 14, 2016
PubMed
Summary

The Brain Atlas and Linking System (BALSA) database provides access to analyzed neuroimaging data from humans and nonhuman primates. It enhances scientific discovery by offering richer datasets than typically found in publications.

Keywords:
ConnectivityHumanNeuroanatomyNeuroimagingNonhuman primate

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Area of Science:

  • Neuroimaging
  • Neuroanatomy
  • Computational Neuroscience

Background:

  • Neuroimaging research generates vast datasets that are often difficult to access and analyze.
  • Sharing extensively analyzed datasets is crucial for reproducibility and advancing neuroscience.
  • Existing repositories may not adequately capture the complexity or analytical depth of published neuroimaging findings.

Purpose of the Study:

  • To introduce the Brain Atlas and Linking System (BALSA) database.
  • To provide a centralized repository for analyzed neuroimaging and neuroanatomical datasets.
  • To facilitate efficient access to richly informative datasets beyond static publication images.

Main Methods:

  • BALSA is organized into two sections: BALSA Reference and BALSA Studies.
  • BALSA Reference contains curated data mapped to brain atlases (surfaces, volumes, connectivity).
  • BALSA Studies hosts datasets from published studies, shared via 'scene' files for visualization software.

Main Results:

  • BALSA offers access to extensively analyzed neuroimaging and neuroanatomical data.
  • The database includes reference datasets and study-specific datasets.
  • Data sharing is facilitated through 'scene' files compatible with Connectome Workbench.

Conclusions:

  • BALSA provides efficient access to valuable neuroimaging datasets.
  • The database supports enhanced data sharing and scientific collaboration in neuroscience.
  • BALSA transcends the limitations of static images in publications by providing access to underlying analyzed data.