%0 Journal Article
%A Wang, Yezhou
%A Eichert, Nicole
%A Paquola, Casey
%A Rodriguez-Cruces, Raul
%A DeKraker, Jordan
%A Royer, Jessica
%A Cabalo, Donna Gift
%A Auer, Hans
%A Ngo, Alexander
%A Leppert, Ilana R.
%A Tardif, Christine L.
%A Rudko, David A.
%A Leech, Robert
%A Amunts, Katrin
%A Valk, Sofie
%A Smallwood, Jonathan
%A Evans, Alan C.
%A Bernhardt, Boris C.
%T Multimodal gradients unify local and global cortical organization
%J Nature Communications
%V 16
%N 1
%@ 2041-1723
%C [London]
%I Springer Nature
%M FZJ-2025-02568
%P 3911
%D 2025
%X Functional specialization of brain areas and subregions, as well as their integration into large-scale networks, are key principles in neuroscience. Consolidating both local and global perspectives on cortical organization, however, remains challenging. Here, we present an approach to integrate inter- and intra-areal similarities of microstructure, structural connectivity, and functional interactions. Using high-field in-vivo 7 tesla (7 T) Magnetic Resonance Imaging (MRI) data and a probabilistic post-mortem atlas of cortical cytoarchitecture, we derive multimodal gradients that capture cortex-wide organization. Inter-areal similarities follow a canonical sensory-fugal gradient, linking cortical integration with functional diversity across tasks. However, intra-areal heterogeneity does not follow this pattern, with greater variability in association cortices. Findings are replicated in an independent 7 T dataset and a 100-subject 3 tesla (3 T) cohort. These results highlight a robust coupling between local arealization and global cortical motifs, advancing our understanding of how specialization and integration shape human brain function.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ 40280959
%U <Go to ISI:>//WOS:001476786100005
%R 10.1038/s41467-025-59177-4
%U https://juser.fz-juelich.de/record/1042420