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Interacting spiral wave patterns underlie complex brain dynamics and are related to cognitive processing

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Listed:
  • Yiben Xu

    (University of Sydney
    University of Sydney)

  • Xian Long

    (University of Sydney
    University of Sydney)

  • Jianfeng Feng

    (Fudan University)

  • Pulin Gong

    (University of Sydney
    University of Sydney)

Abstract

The large-scale activity of the human brain exhibits rich and complex patterns, but the spatiotemporal dynamics of these patterns and their functional roles in cognition remain unclear. Here by characterizing moment-by-moment fluctuations of human cortical functional magnetic resonance imaging signals, we show that spiral-like, rotational wave patterns (brain spirals) are widespread during both resting and cognitive task states. These brain spirals propagate across the cortex while rotating around their phase singularity centres, giving rise to spatiotemporal activity dynamics with non-stationary features. The properties of these brain spirals, such as their rotational directions and locations, are task relevant and can be used to classify different cognitive tasks. We also demonstrate that multiple, interacting brain spirals are involved in coordinating the correlated activations and de-activations of distributed functional regions; this mechanism enables flexible reconfiguration of task-driven activity flow between bottom-up and top-down directions during cognitive processing. Our findings suggest that brain spirals organize complex spatiotemporal dynamics of the human brain and have functional correlates to cognitive processing.

Suggested Citation

  • Yiben Xu & Xian Long & Jianfeng Feng & Pulin Gong, 2023. "Interacting spiral wave patterns underlie complex brain dynamics and are related to cognitive processing," Nature Human Behaviour, Nature, vol. 7(7), pages 1196-1215, July.
    • Handle: RePEc:nat:nathum:v:7:y:2023:i:7:d:10.1038_s41562-023-01626-5
    DOI: 10.1038/s41562-023-01626-5
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    Cited by:

    1. Ren, Xiufang & Lu, Yao & Luo, Jie & Zeng, Xudong, 2024. "Response solutions for a kind of quasi-periodic forced neuron system," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).

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