A human intracranial map of consciousness returning from anesthesia
Chen, X.; Zhang, H.; Deng, X.; Ren, Y.; Liu, Y.; Wang, J.; Xu, S.; Ji, Y.; Yang, Z.; Jia, W.; Huang, X.; Wang, Y.; Huang, L.; Li, S.; Yuan, Y.; Luo, A.; Chen, J.; Yao, C.; Xiao, Y.
Show abstract
How consciousness arises from the brain remains a central yet unsolved question. Although substantial effort has been devoted to characterizing the neural correlates of conscious perception during wakefulness, how consciousness re-emerges from unconscious states remains poorly understood. Here, we took advantage of the rare opportunity to record human intracranial local field potentials from propofol-induced general anesthesia through the transition to behavioral engagement and subsequent full wakefulness, capturing both the stable states of unconsciousness and consciousness and the reconstituting neural dynamics that bridge them. Anesthesia cannot be defined by any single electrophysiological signature; rather, it is an organized low-frequency regime characterized by a constellation of coordinated neural phenomena, including aperiodic slow waves, alpha/beta periodicity, global alpha synchronization, and slow-wave-alpha/beta phase-amplitude coupling. Following anesthetic cessation, this regime progressively dissolved as neural excitability and dynamical complexity climbed. The appearance of conscious behavior coincided with a fast and dramatic transformation in high-gamma activity, from stochastic and unpredictable bursts to structured responses that were distributed, task-selective, and event-locked. These findings suggest that the recovery of consciousness is a multiscale reorganization in which distinct neural underpinnings rise and fall. Together, this work charts an electrophysiological map of how conscious cognition is extinguished, reconfigured, and restored in the human brain.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Measuring the dynamic balance of integration and segregation underlying consciousness, anesthesia, and sleep 98%
- Spike-phase coupling of subthalamic neurons to posterior opercular cortex predicts speech sound accuracy 97%
- Multisensory Flicker Modulates Widespread Brain Networks and Reduces Interictal Epileptiform Discharges in Humans 97%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.