AtOM, an ontology model to standardize use of brain atlases in tools, workflows, and data infrastructures.

ABSTRACT: Brain atlases are important reference resources for accurate anatomical description of neuroscience data. Open access, three-dimensional atlases serve as spatial frameworks for integrating experimental data and defining regions-of-interest in analytic workflows. However, naming conventions, parcellation criteria, area definitions, and underlying mapping methodologies differ considerably between atlases and across atlas versions. This lack of standardized description impedes use of atlases in analytic tools and registration of data to different atlases. To establish a machine-readable standard for representing brain atlases, we identified four fundamental atlas elements, defined their relations, and created an ontology model. Here we present our Atlas Ontology Model (AtOM) and exemplify its

SUBMITTER: Kleven H 

PROVIDER: S-EPMC10372146 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature