Abstract:study objectives: The effects of REM sleep and slow wave sleep (SWS) deprivation on sleep-dependent motor and declarative memory consolidation. design: Randomized, within-subject, cross-over study setting: Weekly (women: monthly) sleep laboratory visits, with retest 60 hours later Participants: Twelve healthy subjects (6 men) aged between 20 and 30 years interventions: REM sleep deprivation, SWS deprivation, or undisturbed sleep Measurements and results: We deprived subjects once each of REM sleep and SWS, and… Show more
“…However, if this were the case, one would also expect similar sleep patterns in the control group. Finally, our data do not fit well with the results showing that SWS and REM sleep deprivation does not affect sleep-dependent memory consolidation [11], emphasizing that declarative and procedural memory consolidation during sleep might be more complex.…”
“…However, if this were the case, one would also expect similar sleep patterns in the control group. Finally, our data do not fit well with the results showing that SWS and REM sleep deprivation does not affect sleep-dependent memory consolidation [11], emphasizing that declarative and procedural memory consolidation during sleep might be more complex.…”
“…Temporal coupling between spindles, hippocampal ripples, and slow-oscillations has been described before in that during the up state of cortical slow oscillations, both spindle activity and hippocampal high-frequency ripple activity were increased (Sirota et al, 2003;Battaglia et al, 2004). The coordinated spindle-ripple events have been suggested to provide a mechanism for information transfer between hippocampus and neocortex (Siapas and Wilson, 1998;Sirota et al, 2003;Axmacher et al, 2006), which could explain that sleep spindles, most pronounced in S2 but also occurring in SWS (De Gennaro and Ferrara, 2003), are related to memory consolidation (Gais et al, 2002;Schabus et al, 2004Schabus et al, , 2008Clemens et al, 2005;Fogel and Smith, 2006;Genzel et al, 2009). At the same time, sleep spindles have been shown to reflect thalamus-driven cortical inhibition, which may signify a different or double functionality (Steriade et al, 1993;Cote et al, 2000).…”
Section: Increased Hf Connectivity In S2 Interacts With Sleep Spindlesmentioning
confidence: 79%
“…Several studies stress the relevance of SWS for memory consolidation (Plihal and Born, 1999;Gais and Born, 2004;Mölle et al, 2004;Peigneux et al, 2004;. However, there are reports that S2 may in fact play an equally important role (Gais et al, 2002;Schabus et al, 2004;Clemens et al, 2007;Nishida and Walker, 2007;Genzel et al, 2009). Furthermore, some data on the relevance of sleep EEG macrostructure for memory consolidation are derived from animal models, in which NREM sleep is usually not divided into substages (Ribeiro et al, 2004).…”
We investigated human hippocampal functional connectivity in wakefulness and throughout non-rapid eye movement sleep. Young healthy subjects underwent simultaneous EEG and functional magnetic resonance imaging (fMRI) measurements at 1.5 T under resting conditions in the descent to deep sleep. Continuous 5 min epochs representing a unique sleep stage (i.e., wakefulness, sleep stages 1 and 2, or slow-wave sleep) were extracted. fMRI time series of subregions of the hippocampal formation (HF) (cornu ammonis, dentate gyrus, and subiculum) were extracted based on cytoarchitectonical probability maps. We observed sleep stage-dependent changes in HF functional coupling. The HF was integrated to variable strength in the default mode network (DMN) in wakefulness and light sleep stages but not in slow-wave sleep. The strongest functional connectivity between the HF and neocortex was observed in sleep stage 2 (compared with both slow-wave sleep and wakefulness). We observed a strong interaction of sleep spindle occurrence and HF functional connectivity in sleep stage 2, with increased HF/neocortical connectivity during spindles. Moreover, the cornu ammonis exhibited strongest functional connectivity with the DMN during wakefulness, while the subiculum dominated hippocampal functional connectivity to frontal brain regions during sleep stage 2. Increased connectivity between HF and neocortical regions in sleep stage 2 suggests an increased capacity for possible global information transfer, while connectivity in slow-wave sleep is reflecting a functional system optimal for segregated information reprocessing. Our data may be relevant to differentiating sleep stage-specific contributions to neural plasticity as proposed in sleep-dependent memory consolidation.
“…Although spindles are particularly increased in humans after declarative memory tasks [125][126][127][128] and also associated with increases in performance on visuospatial memory tasks [129,130], several studies have noted an increase in spindles after motor skill learning [131][132][133]. A relationship between sleep spindles and improvements on a motor task has been observed ( [134,135] but also see [136]), and this relationship appeared to be mediated by premotor and parietal regions [134]. These findings may relate to the pre-and postcentral gyri being network hubs in stage 2 (table 1), although only the precuneus (not the parietal lobule) is a parietal hub in SW.…”
Section: (C) Connectivity and Plasticity In Light And Slow Wave Sleepmentioning
This paper reviews the existing body of knowledge on the neural correlates of spontaneous oscillations, functional connectivity and brain plasticity in human non-rapid eye movement (NREM) sleep. The first section reviews the evidence that specific sleep events as slow waves and spindles are associated with transient increases in regional brain activity. The second section describes the changes in functional connectivity during NREM sleep, with a particular focus on changes within a low-frequency, large-scale functional brain network. The third section will discuss the possibility that spontaneous oscillations and differential functional connectivity are related to brain plasticity and systems consolidation, with a particular focus on motor skill acquisition. Implications for the mode of information processing per sleep stage and future experimental studies are discussed.
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