Experience-dependent changes in cerebral functional connectivity during human rapid eye movement sleep

Laureys, Steven; Peigneux, Philippe; Phillips, Christophe; Fuchs, Sonia; Degueldre, Christian; Aerts, Joël; Fiore, Guy Del; Petiau, C; Luxen, André; Linden, Martial Van der; Cleeremans, Axel; Smith, Carlyle; Maquet, Pierre

doi:10.1016/s0306-4522(01)00269-x

Cited by 138 publications

(73 citation statements)

References 28 publications

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“…Whereas wakefulness can be described as a state for realtime processing of sensorimotor information, sleep is rather involved in the off-line processing and consolidation of newly acquired information (Jenkins and Dallenbach, 1924;Fishbein, 1971;Hennevin et al, 1971;Smith et al, 1980;Smith and Butler, 1982;Buzsaki, 1989;Pavlides and Winson, 1989;Wilson and McNaughton, 1994;Hennevin et al, 1995;Stickgold, 1998;Laureys et al, 2001;Maquet, 2001;Stickgold et al, 2001;Ribeiro et al, 2004). A stronger functional coupling between areas at the boundaries of waking and sleep states might not only ensure a sustained and accurate transfer of sensorimotor information but also allow an overall reinforcement of selected pathways, further promoting the consolidation of specific memory traces acquired during waking.…”

Section: Functional Coupling Of Brain Areas During State Transitionsmentioning

confidence: 99%

Global Forebrain Dynamics Predict Rat Behavioral States and Their Transitions

Gervasoni¹,

Lin²,

Ribeiro³

et al. 2004

J. Neurosci.

301

336

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The wake-sleep cycle, a spontaneous succession of global brain states that correspond to major overt behaviors, occurs in all higher vertebrates. The transitions between these states, at once rapid and drastic, remain poorly understood. Here, intracranial local field potentials (LFPs) recorded in the cortex, hippocampus, striatum, and thalamus were used to characterize the neurophysiological correlates of the rat wake-sleep cycle. By way of a new method for the objective classification and quantitative investigation of all major brain states, we demonstrate that global brain state transitions occur simultaneously across multiple forebrain areas as specific spectral trajectories with characteristic path, duration, and coherence bandwidth. During state transitions, striking changes in neural synchronization are effected by the prominent narrow-band LFP oscillations that mark state boundaries. Our results demonstrate that distant forebrain areas tightly coordinate the processing of neural information during and between global brain states, indicating a very high degree of functional integration across the entire wake-sleep cycle. We propose that transient oscillatory synchronization of synaptic inputs, which underlie the rapid switching of global brain states, may facilitate the exchange of information within and across brain areas at the boundaries of very distinct neural processing regimens.

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Section: Functional Coupling Of Brain Areas During State Transitionsmentioning

confidence: 99%

Global Forebrain Dynamics Predict Rat Behavioral States and Their Transitions

Gervasoni¹,

Lin²,

Ribeiro³

et al. 2004

J. Neurosci.

301

336

View full text Add to dashboard Cite

show abstract

“…Increasingly sophisticated studies in humans and animals show that sleep facilitates processes thought to depend on synaptic remodeling, such as learning and memory (Datta et al, 2004;Walker and Stickgold, 2004). The beneficial effects of sleep on human memory are associated with a reactivation of brain areas engaged in the learning task (Laureys et al, 2001;Huber et al, 2004). Similar reactivation on the level of single neurons and neuronal ensembles has been observed during sleep in nonhuman vertebrates, suggesting that information acquired during wake is reprocessed in subsequent sleep (Wilson and McNaughton, 1994;Nadasky et al, 1999;Louie and Wilson, 2001;Hoffman and McNaughton, 2002).…”

Section: Introductionmentioning

confidence: 99%

Sleep-Dependent Plasticity Requires Cortical Activity

Jha¹,

Jones²,

Coleman³

et al. 2005

J. Neurosci.

120

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Recent findings in humans and animals suggest that sleep promotes synaptic plasticity, but the underlying mechanisms have not been identified. We have demonstrated recently an important role for sleep in ocular dominance (OD) plasticity, a classic form of in vivo cortical remodeling triggered by monocular deprivation (MD) during a critical period of development. The mechanisms responsible for the effects of sleep on OD plasticity are unknown but may depend on neuronal activity in the sleeping brain. We investigated the role of cortical activity in sleep-dependent plasticity by reversibly inactivating the sleeping visual cortex (V1) after a period of MD. Critical period cats were bilaterally implanted with cannulas in V1 and standard EEG/EMG electrodes for polysomnographic recording. After a period of MD, visual cortices were infused with the sodium channel blocker lidocaine in vehicle or vehicle only during sleep. A third group of cats served as sham controls and were infused with lidocaine outside of V1 (into the CSF). Both optical imaging of intrinsic cortical signals and microelectrode recordings showed that OD plasticity was significantly reduced in cats whose visual cortices were reversibly silenced during sleep. These findings demonstrate that the mechanisms governing this form of sleep-dependent plasticity require cortical activity. They provide an important insight into how sleep modifies synaptic circuitry by narrowing the range of possible candidate mechanisms to those that are activity dependent.

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“…This pattern engaged a set of brain regions located in occipital and premotor cortices . A later PET study by the same group (Laureys et al, 2001) confirmed that specific brain reactivation occurs during REM sleep in relation to procedural memory consolidation . The authors showed that the left premotor cortex is functionally more correlated with the left posterior parietal cortex and bilateral pre-supplementary motor area during REM sleep in subjects previously trained to a reaction time task relative to untrained subjects.…”

Section: Overview Of Human Neuroimaging Datamentioning

confidence: 87%

“…The authors showed that the left premotor cortex is functionally more correlated with the left posterior parietal cortex and bilateral pre-supplementary motor area during REM sleep in subjects previously trained to a reaction time task relative to untrained subjects. The increase in functional connectivity during post-training REM sleep additionally suggests that the reactivated brain areas participate in an optimization of a network that subtends subject's visuo-motor response (Laureys et al, 2001). Altogether, the above neuroimaging findings show that the mechanisms of memory processing during early night non-REM sleep/SWS are distinctly different from those that take place in REM sleep.…”

Section: Overview Of Human Neuroimaging Datamentioning

confidence: 99%