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Changelog

Source: NEWS.md

neuroatlas 0.1.0.9000

  • Added atlas provenance descriptors via new atlas_ref infrastructure: new_atlas_ref(), atlas_ref(), atlas_family(), atlas_space(), atlas_coord_space(), and validate_atlas_ref().
  • Atlas constructors now attach structured provenance/space metadata and compatibility aliases (space, template_space, coord_space, confidence) for Schaefer, Glasser, ASEG, Olsen MTL/hippocampus, and TemplateFlow subcortical atlases.
  • get_glasser_atlas() now accepts a source argument and defaults to source = "mni2009c" with fallback to legacy xcpengine when unavailable. Fallback paths are tagged with confidence = "uncertain".
  • Added test-atlas-ref.R coverage for atlas reference metadata and basic cross-representation label concordance checks.
  • Added space-level transform planning utilities backed by inst/extdata/transform_registry.csv: space_transform_manifest(), atlas_transform_plan(), and scope-aware atlas_transform_manifest().
  • atlas_alignment() now consults the space transform registry for same-representation cross-template routes (e.g., NLin6Asym to 2009cAsym) and reports route-specific status/confidence.
  • Fixed white gaps (“shards”) in plot_brain() surface rendering caused by inconsistent triangle winding in some meshes.
  • Added silhouette* and network_border* options to plot_brain() for improved boundary styling (silhouette outline and between-network borders).
  • Improved plot_brain() aesthetics with smoother boundary rendering (border_geom = "path") and an optional normal-based shading overlay (shading*, fill_alpha).

neuroatlas 0.1.0

  • Initial CRAN submission
  • Added support for multiple neuroimaging atlases:
    • Schaefer cortical parcellations (100-1000 parcels, 7/17 networks)
    • Glasser multi-modal parcellation (360 regions)
    • FreeSurfer ASEG subcortical segmentation
    • Olsen medial temporal lobe atlas
  • Integrated TemplateFlow support for standardized templates
  • Added visualization support via ggseg and echarts4r
  • Implemented atlas operations: ROI extraction, data reduction, resampling
  • Added comprehensive vignettes and documentation