Research Topic

Issues and solutions in reproducibility and interoperability in brain atlases and their applications

About this Research Topic

Brain atlases are ubiquitous in fundamental neuroscience research and serve as basic tools for translational research. Atlases are central in order to integrate diverse information collected at multiple spatial and temporal scales. The complexity of the workflows used to produce atlases is highly diverse: while adapting some parcellation scheme from a template to a new dataset is often an easy procedure, other data require highly complex processing workflows and access to large-scale storage and computing systems. In the light of the current reproducibility questions, we propose to explore how brain atlases with large collections of integrated data are built, used, maintained, related to each other, and how these aspects impact the results of neuroscientific analyses.

In this Research Topic, we aim to bring together different aspects of the research on atlases and approaches for data integration in atlases, covering, e.g.:
- Challenges and solutions regarding reproducibility of atlas construction workflows
- Correspondences of labels and region definitions, and related aspects of metadata and ontology engineering; within and cross-species mappings
- Standards for atlas-related data formats
- Visualization and navigation issues
- Best practices and guidelines for annotation of data and atlases
- Standards and best practices for atlas sharing
- Reproducibility challenges resulting from Big Data in atlas construction and sharing


Keywords: Brain atlases, atlases construction, computing systems, data integration, region definition


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Brain atlases are ubiquitous in fundamental neuroscience research and serve as basic tools for translational research. Atlases are central in order to integrate diverse information collected at multiple spatial and temporal scales. The complexity of the workflows used to produce atlases is highly diverse: while adapting some parcellation scheme from a template to a new dataset is often an easy procedure, other data require highly complex processing workflows and access to large-scale storage and computing systems. In the light of the current reproducibility questions, we propose to explore how brain atlases with large collections of integrated data are built, used, maintained, related to each other, and how these aspects impact the results of neuroscientific analyses.

In this Research Topic, we aim to bring together different aspects of the research on atlases and approaches for data integration in atlases, covering, e.g.:
- Challenges and solutions regarding reproducibility of atlas construction workflows
- Correspondences of labels and region definitions, and related aspects of metadata and ontology engineering; within and cross-species mappings
- Standards for atlas-related data formats
- Visualization and navigation issues
- Best practices and guidelines for annotation of data and atlases
- Standards and best practices for atlas sharing
- Reproducibility challenges resulting from Big Data in atlas construction and sharing


Keywords: Brain atlases, atlases construction, computing systems, data integration, region definition


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

28 February 2021 Abstract
28 July 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

28 February 2021 Abstract
28 July 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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