Using dynamic causal modelling of high-density EEG recordings from 10 people during propofol anaesthesia, the study evaluated how three resting state networks—the default mode network, the salience network, and the central executive network—contribute to consciousness. Loss of consciousness reduced inter-network connectivity in the parietal cortex, especially feed-forward frontoparietal and parietal connections at the precuneus node within the default mode network. Within the salience and central executive networks, unconsciousness generated small increases in bidirectional connectivity. The most consistent predictions of consciousness came from a key set of frontoparietal connections, supporting the importance of the posterior hot zone in explaining loss of consciousness.
The N2pc and P3 brain signals, which index selective attention and conscious awareness respectively, are temporally linked. In an experiment with 23 participants monitoring rapid letter and digit streams, dynamic time warping analysis showed that the latencies of these two signals correlated in time, both when participants correctly reported a target digit and when they mistakenly reported a nearby distractor. The link was weaker on distractor intrusion trials. The findings clarify the relationship between attention and access consciousness, and the novel method offers a general approach for assessing temporal links between any two time-series processes.