Population-based tract-to-region connectome of the human brain and its hierarchical topology

Fang-Cheng Yeh ()
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Fang-Cheng Yeh: University of Pittsburgh

Nature Communications, 2022, vol. 13, issue 1, 1-13

Abstract: Abstract Connectome maps region-to-region connectivities but does not inform which white matter pathways form the connections. Here we constructed a population-based tract-to-region connectome to fill this information gap. The constructed connectome quantifies the population probability of a white matter tract innervating a cortical region. The results show that ~85% of the tract-to-region connectome entries are consistent across individuals, whereas the remaining (~15%) have substantial individual differences requiring individualized mapping. Further hierarchical clustering on cortical regions revealed dorsal, ventral, and limbic networks based on the tract-to-region connective patterns. The clustering results on white matter bundles revealed the categorization of fiber bundle systems in the association pathways. This tract-to-region connectome provides insights into the connective topology between cortical regions and white matter bundles. The derived hierarchical relation further offers a categorization of gray and white matter structures.

Date: 2022
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DOI: 10.1038/s41467-022-32595-4

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