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Mapping the structure-function relationship along macroscale gradients in the human brain

Author

Listed:
  • Evan Collins

    (Yale School of Medicine
    Yale University
    Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Omar Chishti

    (Yale School of Medicine
    Yale University
    Max Planck School of Cognition)

  • Sami Obaid

    (Yale School of Medicine
    University of Montreal
    University of Montreal Hospital Center (CHUM))

  • Hari McGrath

    (Yale School of Medicine
    University of Cambridge)

  • Alex King

    (Yale School of Medicine
    University of California, Berkeley)

  • Xilin Shen

    (Yale School of Medicine)

  • Jagriti Arora

    (Yale School of Medicine)

  • Xenophon Papademetris

    (Yale University
    Yale School of Medicine
    Yale School of Medicine)

  • R. Todd Constable

    (Yale School of Medicine
    Yale University
    Yale School of Medicine
    Yale University)

  • Dennis D. Spencer

    (Yale School of Medicine)

  • Hitten P. Zaveri

    (Yale School of Medicine)

Abstract

Functional coactivation between human brain regions is partly explained by white matter connections; however, how the structure-function relationship varies by function remains unclear. Here, we reference large data repositories to compute maps of structure-function correspondence across hundreds of specific functions and brain regions. We use natural language processing to accurately predict structure-function correspondence for specific functions and to identify macroscale gradients across the brain that correlate with structure-function correspondence as well as cortical thickness. Our findings suggest structure-function correspondence unfolds along a sensory-fugal organizational axis, with higher correspondence in primary sensory and motor cortex for perceptual and motor functions, and lower correspondence in association cortex for cognitive functions. Our study bridges neuroscience and natural language to describe how structure-function coupling varies by region and function in the brain, offering insight into the diversity and evolution of neural network properties.

Suggested Citation

  • Evan Collins & Omar Chishti & Sami Obaid & Hari McGrath & Alex King & Xilin Shen & Jagriti Arora & Xenophon Papademetris & R. Todd Constable & Dennis D. Spencer & Hitten P. Zaveri, 2024. "Mapping the structure-function relationship along macroscale gradients in the human brain," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51395-6
    DOI: 10.1038/s41467-024-51395-6
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    References listed on IDEAS

    as
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