Abstract
A central goal in systems neuroscience is to parcellate the brain into discrete units that are neurobiologically coherent. Here, we propose a strategy for consistent whole-brain parcellation of white matter (WM) and gray matter (GM) in individuals. We parcellate the brain into coherent parcels using non-negative matrix factorization based on voxel annotation using fiber clusters. Tractography is performed using an algorithm that mitigates gyral bias, allowing full gyral and sulcal coverage for reliable parcellation of the cortical ribbon. Experimental results indicate that parcellation using our approach is highly reproducible with 100% test-retest parcel identification rate and is highly consistent with significantly lower inter-subject variability than FreeSurfer parcellation. This implies that reproducible parcellation can be obtained for subject-specific investigation of brain structure and function.
This work was supported in part by United States National Institutes of Health (NIH) grants EB008374, MH125479, and EB006733.
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21 September 2021
“This work was supported in part by United States National Institutes of Health (NIH) grants EB008374, MH125479, and EB006733.”
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Wu, Y., Ahmad, S., Yap, PT. (2021). Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters. In: de Bruijne, M., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. MICCAI 2021. Lecture Notes in Computer Science(), vol 12907. Springer, Cham. https://doi.org/10.1007/978-3-030-87234-2_45
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