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Human brain networks function in connectome-specific harmonic waves

Author

Listed:
  • Selen Atasoy

    (School of Psychology, University of New South Wales)

  • Isaac Donnelly

    (School of Mathematics and Statistics, University of New South Wales)

  • Joel Pearson

    (School of Psychology, University of New South Wales)

Abstract

A key characteristic of human brain activity is coherent, spatially distributed oscillations forming behaviour-dependent brain networks. However, a fundamental principle underlying these networks remains unknown. Here we report that functional networks of the human brain are predicted by harmonic patterns, ubiquitous throughout nature, steered by the anatomy of the human cerebral cortex, the human connectome. We introduce a new technique extending the Fourier basis to the human connectome. In this new frequency-specific representation of cortical activity, that we call ‘connectome harmonics’, oscillatory networks of the human brain at rest match harmonic wave patterns of certain frequencies. We demonstrate a neural mechanism behind the self-organization of connectome harmonics with a continuous neural field model of excitatory–inhibitory interactions on the connectome. Remarkably, the critical relation between the neural field patterns and the delicate excitation–inhibition balance fits the neurophysiological changes observed during the loss and recovery of consciousness.

Suggested Citation

  • Selen Atasoy & Isaac Donnelly & Joel Pearson, 2016. "Human brain networks function in connectome-specific harmonic waves," Nature Communications, Nature, vol. 7(1), pages 1-10, April.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms10340
    DOI: 10.1038/ncomms10340
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    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. Andrea I. Luppi & Helena M. Gellersen & Zhen-Qi Liu & Alexander R. D. Peattie & Anne E. Manktelow & Ram Adapa & Adrian M. Owen & Lorina Naci & David K. Menon & Stavros I. Dimitriadis & Emmanuel A. Sta, 2024. "Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics," Nature Communications, Nature, vol. 15(1), pages 1-24, December.
    3. Joana Cabral & Francisca F. Fernandes & Noam Shemesh, 2023. "Intrinsic macroscale oscillatory modes driving long range functional connectivity in female rat brains detected by ultrafast fMRI," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    4. Gustavo Deco & Diego Vidaurre & Morten L. Kringelbach, 2021. "Revisiting the global workspace orchestrating the hierarchical organization of the human brain," Nature Human Behaviour, Nature, vol. 5(4), pages 497-511, April.
    5. 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.
    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.

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