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<p>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 <i>post-mortem</i> 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.</p>

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Multimodal gradients unify local and global cortical organization

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年4月25日

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  • Yezhou Wang,
  • Nicole Eichert,
  • Casey Paquola,
  • Raul Rodriguez-Cruces,
  • Jordan DeKraker,
  • Jessica Royer,
  • Donna Gift Cabalo,
  • Hans Auer,
  • Alexander Ngo,
  • Ilana R. Leppert,
  • Christine L. Tardif,
  • David A. Rudko,
  • Robert Leech,
  • Katrin Amunts,
  • Sofie L. Valk,
  • Jonathan Smallwood,
  • Alan C. Evans,
  • Boris C. Bernhardt

摘要

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.