4.7 Article

Highly connected and highly variable: A Core brain network during resting state supports Propofol-induced unconsciousness

期刊

HUMAN BRAIN MAPPING
卷 44, 期 2, 页码 841-853

出版社

WILEY
DOI: 10.1002/hbm.26103

关键词

consciousness; dynamic states; modular variability; neural correlates of consciousness; rich-club

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This study conducted graph-theoretical analyses on resting-state fMRI data to search for the neural correlates of consciousness (NCC) candidates. The results found these regions to be located in the prefrontal and temporoparietal cortices and related to the sustained existence of conscious content. The study also revealed two recurring brain states, one dominated by NCC regions and the other primarily composed of sensory/motor regions. Additionally, the study found that NCC was modulated by the loss of consciousness induced by propofol anesthesia.
Despite that leading theories of consciousness make diverging predictions for where and how neural activity gives rise to subjective experience, they all seem to partially agree that the neural correlates of consciousness (NCC) require globally integrated brain activity across a network of functionally specialized modules. However, it is not clear yet whether such functional configurations would be able to identify the NCC. We scanned resting-state fMRI data from 21 subjects during wakefulness, propofol-induced sedation, and anesthesia. Graph-theoretical analyses were conducted on awake fMRI data to search for the NCC candidates as brain regions that exhibit both high rich-clubness and high modular variability, which were found to locate in prefrontal and temporoparietal cortices. Another independent data set of 10 highly-sampled subjects was used to validate the NCC distribution at the individual level. Brain module-based dynamic analysis revealed two discrete reoccurring brain states, one of which was dominated by the NCC candidates (state 1), while the other state was predominately composed of primary sensory/motor regions (state 2). Moreover, state 1 appeared to be temporally more stable than state 2, suggesting that the identified NCC members could sustain conscious content as metastable network representations. Finally, we showed that the identified NCC was modulated in terms of functional connectedness and modular variability in response to the loss of consciousness induced by propofol anesthesia. This work offers a framework to search for neural correlates of consciousness by charting the brain network topology and provides new insights into understanding the roles of different regions in underpinning human consciousness.

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