Automated detection of sleep states from olfactory brain waves

scientists have developed a completely automated technique for real-time detection of sleep/wake states in freely moving mice. Conducted by Karim Benchenane, Sophie Bagur and colleagues at the National Centre for Scientific Research in Paris, the study, publishing on November 8 in the open-access journal, PLOS Biology, describes how local brain activity in the olfactory bulb is enough to accurately classify mouse vigilance states into wake, REM sleep, and non-REM sleep. The olfactory bulb is a brain structure that transmits information related to the sense of smell to the rest of the brain, and in mice projects forward from under the cerebral cortex, towards the nasal cavity.

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