Deficient synaptic neurotransmission results in a persistent sleep-like cortical activity across vigilance states in mice

Autor: Mathilde C. C. Guillaumin, Christian D. Harding, Lukas B. Krone, Tomoko Yamagata, Martin C. Kahn, Cristina Blanco-Duque, Gareth T. Banks, Patrick M. Nolan, Stuart N. Peirson, Vladyslav V. Vyazovskiy
Rok vydání: 2023
DOI: 10.1101/2023.05.11.540034
Popis: Growing evidence suggests that brain activity during sleep, as well as sleep regulation, are tightly linked with synaptic function and network excitability at the local and global levels. We previously reported that a mutation in synaptobrevin 2 (Vamp2) in restless (rlss) mice results in a marked increase of wakefulness and suppression of sleep, in particular REM sleep (REMS) as well as increased consolidation of sleep and wakefulness. In the current study, using finer-scalein vivoelectrophysiology recordings, we report that spontaneous cortical activity inrlssmice during NREM sleep (NREMS) is characterised by an occurrence of abnormally prolonged periods of complete neuronal silence (OFF-periods), often lasting several seconds, similar to the burst suppression pattern typically seen under deep anaesthesia. Increased incidence of prolonged network OFF-periods was not specific to NREMS, but also present in REMS and wake inrlssmice. Slow-wave activity (SWA) was generally increased inrlssmice, while higher frequencies including theta-frequency activity were decreased, further resulting in diminished differences between vigilance states. The relative increase in SWA after sleep deprivation was attenuated inrlssmice, suggesting either thatrlssmice experience persistently elevated sleep pressure, or, alternatively, that the intrusion of sleep-like patterns of activity into awake state diminishes the accumulation of sleep drive. We propose that deficit in global synaptic neurotransmitter release leads to ‘state inertia’, reflected in an abnormal propensity of brain networks to enter and remain in a persistent ‘default state’ resembling coma or deep anaesthesia.
Databáze: OpenAIRE