Endogenous components of event-related potential appearing during NREM stage 1 and REM sleep in man

Niiyama, Yoshitsugu; Fujiwara, Ryuichi; Satoh, Naoki; Hishikawa, Yasuo

doi:10.1016/0167-8760(94)90032-9

Cited by 62 publications

(34 citation statements)

References 29 publications

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“…Our findings are partially at odds with a set of previous studies using the oddball paradigm that reported a small late posterior positivity during sleep at around 300 ms (47)(48)(49)(50) or 450 ms (44, 51) after deviant sounds. We note, however, that the oddball paradigm, unlike our present local-global paradigm, fails to dissociate the successive stages of novelty detection that are now known to have very different properties in relation to consciousness (19,25,33,34).…”

Section: Discussioncontrasting

confidence: 57%

Disruption of hierarchical predictive coding during sleep

Strauss

Sitt

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

201

207

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When presented with an auditory sequence, the brain acts as a predictive-coding device that extracts regularities in the transition probabilities between sounds and detects unexpected deviations from these regularities. Does such prediction require conscious vigilance, or does it continue to unfold automatically in the sleeping brain? The mismatch negativity and P300 components of the auditory event-related potential, reflecting two steps of auditory novelty detection, have been inconsistently observed in the various sleep stages. To clarify whether these steps remain during sleep, we recorded simultaneous electroencephalographic and magnetoencephalographic signals during wakefulness and during sleep in normal subjects listening to a hierarchical auditory paradigm including short-term (local) and long-term (global) regularities. The global response, reflected in the P300, vanished during sleep, in line with the hypothesis that it is a correlate of high-level conscious error detection. The local mismatch response remained across all sleep stages (N1, N2, and REM sleep), but with an incomplete structure; compared with wakefulness, a specific peak reflecting prediction error vanished during sleep. Those results indicate that sleep leaves initial auditory processing and passive sensory response adaptation intact, but specifically disrupts both short-term and long-term auditory predictive coding. mismatch response | prediction | magnetoencephalography | MMN | P300

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Section: Discussioncontrasting

confidence: 57%

Disruption of hierarchical predictive coding during sleep

Strauss

Sitt

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

201

207

View full text Add to dashboard Cite

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“…Auditory target detection is higher in sleep stage 1 than stage 2 (Campbell and Colrain, 2002;Cote et al, 2002), although waking detection levels are much higher (Cote et al, 2002). Here, the subclassification of stage 1 into early stage 1 sleep (stage 1a) and later stage 1 sleep (stage 1b) may be informative, as detection levels in late stage 1 sleep appear reduced to levels typical for consolidated sleep (Niiyama et al, 1994). With our data, we can conclude that the breakdown of thalamocortical connectivity as (Kamada and Kawai, 1989) implemented in the Pajek software package.…”

Section: Thalamocortical Connectivity Throughout Sleepmentioning

confidence: 99%

Development of a Large-Scale Functional Brain Network during Human Non-Rapid Eye Movement Sleep

Spoormaker

Schröter²,

Gleiser³

et al. 2010

J. Neurosci.

255

231

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Graph theoretical analysis of functional magnetic resonance imaging (fMRI) time series has revealed a small-world organization of slow-frequency blood oxygen level-dependent (BOLD) signal fluctuations during wakeful resting. In this study, we used graph theoretical measures to explore how physiological changes during sleep are reflected in functional connectivity and small-world network properties of a large-scale, low-frequency functional brain network. Twenty-five young and healthy participants fell asleep during a 26.7 min fMRI scan with simultaneous polysomnography. A maximum overlap discrete wavelet transformation was applied to fMRI time series extracted from 90 cortical and subcortical regions in normalized space after residualization of the raw signal against unspecific sources of signal fluctuations; functional connectivity analysis focused on the slow-frequency BOLD signal fluctuations between 0.03 and 0.06 Hz. We observed that in the transition from wakefulness to light sleep, thalamocortical connectivity was sharply reduced, whereas corticocortical connectivity increased; corticocortical connectivity subsequently broke down in slow-wave sleep. Local clustering values were closest to random values in light sleep, whereas slow-wave sleep was characterized by the highest clustering ratio (gamma). Our findings support the hypothesis that changes in consciousness in the descent to sleep are subserved by reduced thalamocortical connectivity at sleep onset and a breakdown of general connectivity in slow-wave sleep, with both processes limiting the capacity of the brain to integrate information across functional modules.

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“…This stage has been proposed to signify a transition period rather than a sleep stage per se [72,73]; sleep stage 2 would reflect more consolidated sleep. Here, the subclassification of stage 1 into early stage 1 sleep (stage 1a) and a deeper stage 1 sleep (stage 1b) may be informative, as auditory detection levels in stage 1a are comparable with waking levels, whereas in stage 1b sleep, they appear more reduced to levels typical for consolidated sleep [74]. An increase in TC correlation values in later sleep stages could be a consequence of sleep-specific phenomena either originating in the thalamus or mediated by the thalamus, such as sleep spindles [7,75].…”

Section: (B) a Large-scale Functional Brain Network Throughout Sleepmentioning

confidence: 99%

Large-scale functional brain networks in human non-rapid eye movement sleep: insights from combined electroencephalographic/functional magnetic resonance imaging studies

Spoormaker

Czisch

Maquet

et al. 2011

Phil. Trans. R. Soc. A.

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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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Endogenous components of event-related potential appearing during NREM stage 1 and REM sleep in man

Cited by 62 publications

References 29 publications

Disruption of hierarchical predictive coding during sleep

Disruption of hierarchical predictive coding during sleep

Development of a Large-Scale Functional Brain Network during Human Non-Rapid Eye Movement Sleep

Large-scale functional brain networks in human non-rapid eye movement sleep: insights from combined electroencephalographic/functional magnetic resonance imaging studies

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