IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v10y2019i1d10.1038_s41467-019-12765-7.html
   My bibliography  Save this article

Decoupling of brain function from structure reveals regional behavioral specialization in humans

Author

Listed:
  • Maria Giulia Preti

    (École Polytechnique Fédérale de Lausanne (EPFL)
    University of Geneva)

  • Dimitri Van De Ville

    (École Polytechnique Fédérale de Lausanne (EPFL)
    University of Geneva)

Abstract

The brain is an assembly of neuronal populations interconnected by structural pathways. Brain activity is expressed on and constrained by this substrate. Therefore, statistical dependencies between functional signals in directly connected areas can be expected higher. However, the degree to which brain function is bound by the underlying wiring diagram remains a complex question that has been only partially answered. Here, we introduce the structural-decoupling index to quantify the coupling strength between structure and function, and we reveal a macroscale gradient from brain regions more strongly coupled, to regions more strongly decoupled, than expected by realistic surrogate data. This gradient spans behavioral domains from lower-level sensory function to high-level cognitive ones and shows for the first time that the strength of structure-function coupling is spatially varying in line with evidence derived from other modalities, such as functional connectivity, gene expression, microstructural properties and temporal hierarchy.

Suggested Citation

  • Maria Giulia Preti & Dimitri Van De Ville, 2019. "Decoupling of brain function from structure reveals regional behavioral specialization in humans," Nature Communications, Nature, vol. 10(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12765-7
    DOI: 10.1038/s41467-019-12765-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-019-12765-7
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-019-12765-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jie Xia & Cirong Liu & Jiao Li & Yao Meng & Siqi Yang & Huafu Chen & Wei Liao, 2024. "Decomposing cortical activity through neuronal tracing connectome-eigenmodes in marmosets," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Marco Aqil & Selen Atasoy & Morten L Kringelbach & Rikkert Hindriks, 2021. "Graph neural fields: A framework for spatiotemporal dynamical models on the human connectome," PLOS Computational Biology, Public Library of Science, vol. 17(1), pages 1-29, January.
    3. Panagiotis Fotiadis & Matthew Cieslak & Xiaosong He & Lorenzo Caciagli & Mathieu Ouellet & Theodore D. Satterthwaite & Russell T. Shinohara & Dani S. Bassett, 2023. "Myelination and excitation-inhibition balance synergistically shape structure-function coupling across the human cortex," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    4. Yaqian Yang & Zhiming Zheng & Longzhao Liu & Hongwei Zheng & Yi Zhen & Yi Zheng & Xin Wang & Shaoting Tang, 2023. "Enhanced brain structure-function tethering in transmodal cortex revealed by high-frequency eigenmodes," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    5. Alessandra Griffa & Mathieu Mach & Julien Dedelley & Daniel Gutierrez-Barragan & Alessandro Gozzi & Gilles Allali & Joanes Grandjean & Dimitri Ville & Enrico Amico, 2023. "Evidence for increased parallel information transmission in human brain networks compared to macaques and male mice," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    6. Andrea I. Luppi & Lynn Uhrig & Jordy Tasserie & Camilo M. Signorelli & Emmanuel A. Stamatakis & Alain Destexhe & Bechir Jarraya & Rodrigo Cofre, 2024. "Local orchestration of distributed functional patterns supporting loss and restoration of consciousness in the primate brain," Nature Communications, Nature, vol. 15(1), pages 1-22, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-12765-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.