This page describes an anatomically curated white matter atlas to enable consistent white matter tract parcellation across different populations (Zhang et al. 2018). The atlas contains 58 deep white matter tracts including major long range association and projection tracts, commissural tracts, and tracts related to the brainstem and cerebellar connections, plus 198 short and medium range superficial fiber clusters organized into 16 categories according to the brain lobes they connect. In addition, the atlas contains a parcellation of the entire white matter into 800 fiber clusters. The atlas was generated by creating dense tractography maps of 100 individual subjects and then applying a fiber clustering method to group the tracts across subjects according to their similarity in shape and location. This tractography was derived from 100 healthy human brain scans from the Human Connectome Project. The resulting clusters of tracts were annotated using population-based brain anatomical information and expert neuroanatomical knowledge (Zhang et al. 2018). The ORG-800FC-100HCP atlas is provided by the O’Donnell Research Group (ORG). For more information, please see the videos, links, and related publications below. Please see how to cite the ORG atlas in your publication.

Atlas Visualization Videos:

The video below shows the whole brain fiber cluster atlas (800 fiber clusters).

The video below shows the annotated anatomical fiber tracts (58 deep white matter tracts and 198 superficial fiber clusters organized into 16 categories according to the brain lobes they connect) .

Usage:

• Instructions for downloading and visualizing the atlas. The list of anatomical tracts in the atlas can be found here.
• Instructions for installing whitematteranalysis to apply the atlas
• Instructions for applying the atlas for subject-specific tractography parcellation
• Instructions for UKF tractography, on which the atlas is based. The atlas can be applied to streamline tractography in vtk format, with RAS (right-anterior-superior) coordinate system convention.

References:

• Zhang, F., Wu, Y., Norton, I., Rathi, Y., Makris, N., O’Donnell, L.J., 2018. An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan. NeuroImage, 2018.
• Zhang, F., Wu, Y., Norton, I., Rathi, Y., Golby, A. J., O’Donnell, L. J., 2019. Test–retest reproducibility of white matter parcellation using diffusion MRI tractography fiber clustering. Human Brain Mapping, 40(10), 3041-3057.
• O’Donnell, L. J., Suter, Y., Rigolo, L., Kahali, P., Zhang, F., Norton, I., Albi, A., Olubiyi, O., Meola, A., Essayed, W. I., Unadkat, P., Ciris, P. A., Wells III, W. M., Rathi, Y., Westin, C.-F., Golby, A. J., 2017. Automated white matter fiber tract identification in patients with brain tumors. NeuroImage: Clinical 13, 138–153.
• O’Donnell, L. J., Wells III, W. M., Golby, A. J., Westin, C.-F., 2012. Unbiased groupwise registration of white matter tractography. In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). pp. 123–130.
• Malcolm, J.G., Shenton, M.E. and Rathi, Y., 2010. Filtered multitensor tractography. IEEE transactions on medical imaging, 29(9), pp.1664-1675
• O’Donnell, L. J., Westin, C.-F., 2007. Automatic tractography segmentation using a high-dimensional white matter atlas. IEEE Transactions on Medical Imaging 26 (11), 1562–1575.