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@ARTICLE{Royer:1052262,
      author       = {Royer, Jessica and Paquola, Casey and Rodriguez-Cruces,
                      Raul and Auer, Hans and Ngo, Alexander and Sahlas, Ella and
                      Arafat, Thaera and Abdallah, Chifaou and Mansilla de
                      Latorre, Daniel and Pana, Raluca and Hall, Jeffrey and
                      Leech, Robert and Smallwood, Jonathan and Frauscher, Birgit
                      and Bernhardt, Boris C.},
      title        = {{H}uman cortical dynamics reflect graded contributions of
                      local geometry and network topography},
      journal      = {Nature Communications},
      volume       = {17},
      issn         = {2041-1723},
      address      = {[London]},
      publisher    = {Springer Nature},
      reportid     = {FZJ-2026-00879},
      pages        = {1002},
      year         = {2026},
      abstract     = {The brain is a physically embedded and heavily
                      interconnected system that expresses neural rhythms across
                      multiple time scales. While these dynamics result from the
                      complex interplay of local and inter-regional factors, the
                      relative contribution of such mechanisms across the cortex
                      remains unclear. Our study explores geometric,
                      microstructural, and connectome-level constraints on
                      cortex-wide neural activity. We leverage intracranial
                      electroencephalography recordings to derive a coordinate
                      system of human cortical dynamics. Using multimodal
                      neuroimaging, we could then demonstrate that these patterns
                      are largely explainable by geometric properties indexed by
                      inter-regional distance. However, dynamics in transmodal
                      association regions are additionally explainable by
                      incorporation of inter-regional microstructural similarity
                      and connectivity information. Our findings are generally
                      consistent when cross-referencing electroencephalography and
                      imaging data from large-scale atlases and when using data
                      obtained in the same individuals, suggesting
                      subject-specificity and population-level generalizability.
                      Together, our results suggest that the relative contribution
                      of local and macroscale constraints on cortical dynamics
                      varies systematically across the cortical sheet,
                      specifically highlighting the role of transmodal networks in
                      inter-regional cortical coordination.},
      cin          = {INM-7},
      ddc          = {500},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {41453863},
      UT           = {WOS:001672450100005},
      doi          = {10.1038/s41467-025-67740-2},
      url          = {https://juser.fz-juelich.de/record/1052262},
}