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add ref to template and lnter
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CPernet authored Jan 31, 2024
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17 changes: 12 additions & 5 deletions src/schema/objects/entities.yaml
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Expand Up @@ -29,11 +29,18 @@ atlas:
name: atlas
display_name: Atlas
description: |
The definition of atlas per Merriam-Webster is ‘a bound collection of maps (i.e. labeled brain regions or quantitative aspects) and metadata (tables, or textual matter).

Within BIDS atlases are broadly defined as a mapping between locations in a spatial coordinate systems and descriptions associated with those locations. By analogy with geographical atlases, brain atlases can map brain locations to either discrete labels like a map of countries does, or to continuous quantities like a topographic map does.

This comprises all possible types of atlases, specifically deterministic, probabilistic, and mask/voxel-based ones, and quantitative maps from various modalities including but not limited to: structural features (e.g. myelination, cytoarchitecture), functional features (e.g. resting-state networks, localizers) and such based on multimodal data integration (e.g. gene expression, receptors). Furthermore, it covers both volume/voxel and surface/vertex data, as well as gray and white matter atlases.
The definition of atlas per Merriam-Webster is ‘a bound collection of maps (i.e. labeled brain regions
or quantitative aspects) and metadata (tables, or textual matter). Within BIDS, atlases are broadly
defined as a mapping between locations in a spatial coordinate systems and descriptions associated with
those locations. Atlases are often build from registering many subjects or maps to a template. By analogy
with geographical atlases, brain atlases can map brain locations to either discrete labels like a map
of countries does, or to continuous quantities like a topographic map does.

This comprises all possible types of atlases, specifically deterministic, probabilistic, and mask/voxel-based
ones, and quantitative maps from various modalities including but not limited to structural features (e.g.
myelination, cytoarchitecture), functional features (e.g. resting-state networks, localizers) and such based on
multimodal data integration (e.g. gene expression, receptors). Furthermore, it covers both volume/voxel and
surface/vertex data, as well as gray and white matter atlases.
ceagent:
name: ce
display_name: Contrast Enhancing Agent
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