2022
DOI: 10.1101/2022.01.04.474940
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Sleep slow-wave oscillations trigger seizures in a genetic epilepsy model of Dravet syndrome

Abstract: Sleep is the brain state when cortical activity decreases and memory consolidates. However, in human epileptic patients, including genetic epileptic seizures such as Dravet syndrome, sleep is the preferential period when epileptic spike-wave discharges (SWDs) appear, with more severe epileptic symptoms in female patients than male patients, which influencing patient sleep quality and memory. Currently, seizure onset mechanisms during sleep period still remain unknown. Our previous work has shown that the sleep… Show more

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“…The replicability of this straight-forward method has been shown in our previous manuscript (Zhang et al, 2021). Regarding the synaptic EPSC potentiation mechanism, the synaptic potentiation by SWOs depends on retinoid acid synthesis (Aoto et al, 2008) (which the N,N-diethylaminobenzaldehyde (DEAB) can block) and is further replicated by in vivo experiments (Catron et al, 2023) 2021)], while 5-Hz high-level activity could attenuate sIPSCs in layer V cortical neurons [Supplementary Figure 3 in Zhang et al (2021)]. These suggest that sEPSC and sIPSC may need different thresholds of high neuronal activity to trigger depression in cortical neurons (Turrigiano, 2008;Li et al, 2019).…”
Section: Discussionmentioning
confidence: 69%
“…The replicability of this straight-forward method has been shown in our previous manuscript (Zhang et al, 2021). Regarding the synaptic EPSC potentiation mechanism, the synaptic potentiation by SWOs depends on retinoid acid synthesis (Aoto et al, 2008) (which the N,N-diethylaminobenzaldehyde (DEAB) can block) and is further replicated by in vivo experiments (Catron et al, 2023) 2021)], while 5-Hz high-level activity could attenuate sIPSCs in layer V cortical neurons [Supplementary Figure 3 in Zhang et al (2021)]. These suggest that sEPSC and sIPSC may need different thresholds of high neuronal activity to trigger depression in cortical neurons (Turrigiano, 2008;Li et al, 2019).…”
Section: Discussionmentioning
confidence: 69%