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Geometric constraints on human brain function

Author

Listed:
  • James C. Pang

    (Monash University)

  • Kevin M. Aquino

    (University of Sydney
    BrainKey Inc.)

  • Marianne Oldehinkel

    (Radboud University Medical Centre)

  • Peter A. Robinson

    (University of Sydney)

  • Ben D. Fulcher

    (University of Sydney)

  • Michael Breakspear

    (University of Newcastle
    University of Newcastle)

  • Alex Fornito

    (Monash University)

Abstract

The anatomy of the brain necessarily constrains its function, but precisely how remains unclear. The classical and dominant paradigm in neuroscience is that neuronal dynamics are driven by interactions between discrete, functionally specialized cell populations connected by a complex array of axonal fibres1–3. However, predictions from neural field theory, an established mathematical framework for modelling large-scale brain activity4–6, suggest that the geometry of the brain may represent a more fundamental constraint on dynamics than complex interregional connectivity7,8. Here, we confirm these theoretical predictions by analysing human magnetic resonance imaging data acquired under spontaneous and diverse task-evoked conditions. Specifically, we show that cortical and subcortical activity can be parsimoniously understood as resulting from excitations of fundamental, resonant modes of the brain’s geometry (that is, its shape) rather than from modes of complex interregional connectivity, as classically assumed. We then use these geometric modes to show that task-evoked activations across over 10,000 brain maps are not confined to focal areas, as widely believed, but instead excite brain-wide modes with wavelengths spanning over 60 mm. Finally, we confirm predictions that the close link between geometry and function is explained by a dominant role for wave-like activity, showing that wave dynamics can reproduce numerous canonical spatiotemporal properties of spontaneous and evoked recordings. Our findings challenge prevailing views and identify a previously underappreciated role of geometry in shaping function, as predicted by a unifying and physically principled model of brain-wide dynamics.

Suggested Citation

  • James C. Pang & Kevin M. Aquino & Marianne Oldehinkel & Peter A. Robinson & Ben D. Fulcher & Michael Breakspear & Alex Fornito, 2023. "Geometric constraints on human brain function," Nature, Nature, vol. 618(7965), pages 566-574, June.
  • Handle: RePEc:nat:nature:v:618:y:2023:i:7965:d:10.1038_s41586-023-06098-1
    DOI: 10.1038/s41586-023-06098-1
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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. Stuart Oldham & Gareth Ball, 2023. "A phylogenetically-conserved axis of thalamocortical connectivity in the human brain," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    3. Laura E. Suárez & Agoston Mihalik & Filip Milisav & Kenji Marshall & Mingze Li & Petra E. Vértes & Guillaume Lajoie & Bratislav Misic, 2024. "Connectome-based reservoir computing with the conn2res toolbox," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    4. 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.
    5. Dominik P. Koller & Michael Schirner & Petra Ritter, 2024. "Human connectome topology directs cortical traveling waves and shapes frequency gradients," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    6. Liang Shi & Xiaoxi Fu & Shen Gui & Tong Wan & Junjie Zhuo & Jinling Lu & Pengcheng Li, 2024. "Global spatiotemporal synchronizing structures of spontaneous neural activities in different cell types," Nature Communications, Nature, vol. 15(1), pages 1-17, December.

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