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Energy landscape and dynamics of brain activity during human bistable perception

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  • Takamitsu Watanabe

    (Institute of Cognitive Neuroscience, University College London)

  • Naoki Masuda

    (University of Bristol)

  • Fukuda Megumi

    (Institute of Cognitive Neuroscience, University College London)

  • Ryota Kanai

    (Centre for Consciousness Science, School of Psychology, University of Sussex)

  • Geraint Rees

    (Institute of Cognitive Neuroscience, University College London
    Wellcome Trust Centre for Neuroimaging, University College London)

Abstract

Individual differences in the structure of parietal and prefrontal cortex predict the stability of bistable visual perception. However, the mechanisms linking such individual differences in brain structures to behaviour remain elusive. Here we demonstrate a systematic relationship between the dynamics of brain activity, cortical structure and behaviour underpinning bistable perception. Using fMRI in humans, we find that the activity dynamics during bistable perception are well described as fluctuating between three spatially distributed energy minimums: visual-area-dominant, frontal-area-dominant and intermediate states. Transitions between these energy minimums predicted behaviour, with participants whose brain activity tend to reflect the visual-area-dominant state exhibiting more stable perception and those whose activity transits to frontal-area-dominant states reporting more frequent perceptual switches. Critically, these brain activity dynamics are correlated with individual differences in grey matter volume of the corresponding brain areas. Thus, individual differences in the large-scale dynamics of brain activity link focal brain structure with bistable perception.

Suggested Citation

  • Takamitsu Watanabe & Naoki Masuda & Fukuda Megumi & Ryota Kanai & Geraint Rees, 2014. "Energy landscape and dynamics of brain activity during human bistable perception," Nature Communications, Nature, vol. 5(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms5765
    DOI: 10.1038/ncomms5765
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    Cited by:

    1. Sheykhali, Somaye & Darooneh, Amir Hossein & Jafari, Gholam Reza, 2020. "Partial balance in social networks with stubborn links," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 548(C).
    2. Richard Hardstone & Michael Zhu & Adeen Flinker & Lucia Melloni & Sasha Devore & Daniel Friedman & Patricia Dugan & Werner K. Doyle & Orrin Devinsky & Biyu J. He, 2021. "Long-term priors influence visual perception through recruitment of long-range feedback," Nature Communications, Nature, vol. 12(1), pages 1-15, December.

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