Mapping the emergence of visual consciousness in the human brain via brain-wide intracranial electrophysiology

Abstract

Consciousness lies at the heart of our existence and experience. To probe how perceptual consciousness emerges in the brain, we recorded brain-wide intracranial electroencephalography signals from human patients while their perceptual consciousness was effectively manipulated using the continuous flash suppression paradigm. We observed substantial differences in brain activities when visual information gradually enters consciousness. Specifically, the functional connectivity first increases and then decreases, oscillations in the low-frequency band reduce in power, and those in the high-frequency band remain unchanged. We employed random forest-based classification to characterize the transitions from no perception to subconsciousness and then to consciousness, which showed an increase in signal variance at the second transition rather than the first. Further, the frontal-parietal junction dominates the first transition, whereas the temporal-frontal lobes dominate the second transition. Finally, we identified the most relevant neuronal features associated with consciousness. Altogether, these findings shed fresh light on the emergence of visual consciousness.

Keywords

• visual consciousness
• subconscious
• intracranial electroencephalography
• iEEG
• machine learning
• random forest