Assortative mixing in micro-architecturally annotated brain connectomes

Vincent Bazinet, Justine Y. Hansen, Reinder Vos de Wael, Boris C. Bernhardt, Martijn P. Heuvel and Bratislav Misic ()
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Vincent Bazinet: McGill University
Justine Y. Hansen: McGill University
Reinder Vos de Wael: McGill University
Boris C. Bernhardt: McGill University
Martijn P. Heuvel: Vrije Universiteit Amsterdam
Bratislav Misic: McGill University

Nature Communications, 2023, vol. 14, issue 1, 1-16

Abstract: Abstract The wiring of the brain connects micro-architecturally diverse neuronal populations, but the conventional graph model, which encodes macroscale brain connectivity as a network of nodes and edges, abstracts away the rich biological detail of each regional node. Here, we annotate connectomes with multiple biological attributes and formally study assortative mixing in annotated connectomes. Namely, we quantify the tendency for regions to be connected based on the similarity of their micro-architectural attributes. We perform all experiments using four cortico-cortical connectome datasets from three different species, and consider a range of molecular, cellular, and laminar annotations. We show that mixing between micro-architecturally diverse neuronal populations is supported by long-distance connections and find that the arrangement of connections with respect to biological annotations is associated to patterns of regional functional specialization. By bridging scales of cortical organization, from microscale attributes to macroscale connectivity, this work lays the foundation for next-generation annotated connectomics.

Date: 2023
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DOI: 10.1038/s41467-023-38585-4

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