Intrinsic brain dynamics in the Default Mode Network predict involuntary fluctuations of visual awareness

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Abstract

Brain activity is intrinsically organised into spatiotemporal patterns, but it is still not clear whether these intrinsic patterns are functional or epiphenomenal. Using a simultaneous fMRI-EEG implementation of a well-known bistable visual task, we showed that the latent transient states in the intrinsic EEG oscillations can predict upcoming involuntarily perceptual transitions. The critical state predicting a dominant perceptual transition was characterised by the phase coupling between the precuneus (PCU), a key node of the Default Mode Network (DMN), and the primary visual cortex (V1). The interaction between the lifetime of this state and the PCU- > V1 Granger-causal effect is correlated with the perceptual fluctuation rate. Our study suggests that the brain’s endogenous dynamics are phenomenologically relevant, as they can elicit a diversion between potential visual processing pathways, while external stimuli remain the same. In this sense, the intrinsic DMN dynamics pre-empt the content of consciousness.

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Lyu, D., Naik, S., Menon, D. K., & Stamatakis, E. A. (2022). Intrinsic brain dynamics in the Default Mode Network predict involuntary fluctuations of visual awareness. Nature Communications, 13(1). https://doi.org/10.1038/s41467-022-34410-6

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