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Abstract #0040

A data-driven groupwise fiber clustering atlas for consistent white matter parcellation and anatomical tract identification of subjects across the lifespan

Fan Zhang1, Ye Wu1, Isaiah Norton1, Yogesh Rathi1, Nikos Makris1, and Lauren J. O'Donnell1

1Harvard Medical School, Boston, MA, United States

We propose an anatomically curated white matter parcellation atlas generated from a large population of 100 healthy adult subjects, leveraging a well-established data-driven groupwise fiber clustering pipeline and expert neuroanatomy knowledge. We demonstrate the ability of the proposed method to parcellate a total of 541 subjects ranging in age from 1 day to 82 years. The results suggest that our parcellation algorithm provides high generalization and consistency of white matter parcellation and tract identification for subjects across the lifespan.

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