The SWAN atlas: an open multimodal resource combining neuroimaging and high-resolution histology of the human brain in stereotactic space

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Abstract

Precise localization of human brain regions is critical in clinical practice and population neuroimaging, particularly in stereotactic functional neurosurgery, where small targeting errors may lead to treatment failure. Although MRI provides in vivo and postmortem brain parcellation, histology offers complementary mesoscopic and microscopic information. A major limitation of histological atlases for clinical use is accurate coregistration with in vivo imaging, since tissue processing introduces deformation. To reduce this problem, we sectioned an entire human brain using high-thickness slices, which are less prone to slice-level deformation. Histological sections were registered to the brain’s own MRI and normalized to standard stereotactic space through a multistep transform chain. Users can apply MRI-to-MRI registration to transform the atlas into patient space and vice versa, with further nonlinear refinement using SwanWarp or WarpDrive tools. Segmentations and software are being prepared for open distribution. This resource may empower both clinical neurosurgical research and the broader neuroimaging field at large.

Resource scope

SWAN is designed as a free, practical and reproducible bridge between high-resolution human histology and patient-oriented stereotactic neuroimaging. The resource combines source data, transform chains, segmentations, and 3D Slicer- and Lead-DBS compatible workflows that allow investigators, clinicians and trainees to use the default atlas or create their own anatomical labels, inspect patient-relevant regions of interest against histology and support research, planning and post hoc analysis in functional neurosurgery, neurology and translational neuroimaging. The SWAN Atlas Viewer also enables users to interactively navigate across three-dimensional histological and imaging spaces, providing a powerful educational tool for understanding spatial relationships between tissue anatomy and neuroimaging. The SWAN project website ( www.swanatlas.com ) serves as the central public entry point for the resource, providing project documentation, representative histological and multimodal atlas content, software information, and information on the planned data and code repositories.

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