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@ARTICLE{Hong:1038538,
      author       = {Hong, Seok-Jun and Oh, Younghyun and Ann, Yejin and Lee,
                      Jae-Joong and Ito, Takuya and Froudist-Walsh, Sean and
                      Paquola, Casey and Milham, Michael and Spreng, R. Nathan and
                      Margulies, Daniel and Bernhardt, Boris and Woo, Choong-Wan},
      title        = {{I}n vivo cartography of state-dependent signal flow
                      hierarchy in the human cerebral cortex},
      reportid     = {FZJ-2025-01523},
      year         = {2024},
      abstract     = {Understanding the principle of information flow across
                      distributed brain networks is of paramount importance in
                      neuroscience. Here, we introduce a novel neuroimaging
                      framework, leveraging integrated effective connectivity
                      (iEC) and unconstrained signal flow mapping for data-driven
                      discovery of the human cerebral functional hierarchy.
                      Simulation and empirical validation demonstrated the high
                      fidelity of iEC in recovering connectome directionality and
                      its potential relationship with histologically defined
                      feedforward and feedback pathways. Notably, the iEC-derived
                      hierarchy displayed a monotonously increasing level along
                      the axis where the sensorimotor, association, and paralimbic
                      areas are sequentially ordered – a pattern supported by
                      the Structural Model of laminar connectivity. This hierarchy
                      was further demonstrated to flexibly reorganize according to
                      brain states, flattening during an externally oriented
                      condition, evidenced by a reduced slope in the hierarchy,
                      and steepening during an internally focused condition,
                      reflecting heightened engagement of interoceptive regions.
                      Our study highlights the unique role of macroscale directed
                      functional connectivity in uncovering a neurobiologically
                      grounded, state-dependent signal flow hierarchy.},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.21203/rs.3.rs-5219295/v1},
      url          = {https://juser.fz-juelich.de/record/1038538},
}