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@ARTICLE{Wang:1042420,
author = {Wang, Yezhou and Eichert, Nicole and Paquola, Casey and
Rodriguez-Cruces, Raul and DeKraker, Jordan and Royer,
Jessica and Cabalo, Donna Gift and Auer, Hans and Ngo,
Alexander and Leppert, Ilana R. and Tardif, Christine L. and
Rudko, David A. and Leech, Robert and Amunts, Katrin and
Valk, Sofie and Smallwood, Jonathan and Evans, Alan C. and
Bernhardt, Boris C.},
title = {{M}ultimodal gradients unify local and global cortical
organization},
journal = {Nature Communications},
volume = {16},
number = {1},
issn = {2041-1723},
address = {[London]},
publisher = {Springer Nature},
reportid = {FZJ-2025-02568},
pages = {3911},
year = {2025},
abstract = {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.},
cin = {INM-1 / INM-7},
ddc = {500},
cid = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-7-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525) / HIBALL - Helmholtz International BigBrain
Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)
/ EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to
Advance Neuroscience and Brain Health (101147319)},
pid = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)InterLabs-0015 /
G:(EU-Grant)101147319},
typ = {PUB:(DE-HGF)16},
pubmed = {40280959},
UT = {WOS:001476786100005},
doi = {10.1038/s41467-025-59177-4},
url = {https://juser.fz-juelich.de/record/1042420},
}