Intrinsic organization of the anesthetized brain

Zhifeng Liang, Jean King, Nanyin Zhang

Research output: Contribution to journalArticlepeer-review

102 Scopus citations

Abstract

The neural mechanism of unconsciousness has been a major unsolved question in neuroscience despite its vital role in brain states like coma and anesthesia. The existing literature suggests that neural connections, information integration, and conscious states are closely related. Indeed, alterations in several important neural circuitries and networks during unconscious conditions have been reported. However, how the whole-brain network is topologically reorganized to support different patterns of information transfer during unconscious states remains unknown. Here we directly compared whole-brain neural networks in awake and anesthetized states in rodents. Consistent with our previous report, the awake rat brain was organized in a nontrivial manner and conserved fundamental topological propertiesinaway similartothe humanbrain. Strikingly, these topological featureswerewellmaintainedintheanesthetized brain.Local neural networks in the anesthetized brain were reorganized with altered local network properties. The connectional strength between brain regions was also considerably different between the awake and anesthetized conditions. Interestingly, we found that long-distance connections were not preferentially reduced in the anesthetized condition, arguing against the hypothesis that loss of long-distance connections is characteristic to unconsciousness. These findings collectively show that the integrity of the whole-brain network can be conserved between widely dissimilar physiologic states while local neural networks can flexibly adapt to new conditions. They also illustrate that the governing principles of intrinsic brain organization might represent fundamental characteristics of the healthy brain. With the unique spatial and temporal scales of resting-state fMRI, this study has opened a new avenue for understanding the neural mechanism of (un)consciousness.

Original languageEnglish (US)
Pages (from-to)10183-10191
Number of pages9
JournalJournal of Neuroscience
Volume32
Issue number30
DOIs
StatePublished - Jul 25 2012

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

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