Literature DB >> 21906022

Going local: insights from EEG and stereo-EEG studies of the human sleep-wake cycle.

Michele Ferrara1, Luigi De Gennaro.   

Abstract

In the present paper, we reviewed a large body of evidence, mainly from quantitative EEG studies of our laboratory, supporting the notion that sleep is a local and use-dependent process. Quantitative analyses of sleep EEG recorded from multiple cortical derivations clearly indicate that every sleep phenomenon, from sleep onset to the awakening, is strictly local in nature. Sleep onset first occurs in frontal areas, and a frontal predominance of low-frequency power persists in the first part of the night, when the homeostatic processes mainly occur, and then it vanishes. Upon awakening, we showed an asynchronous EEG activation of different cortical areas, the more anterior ones being the first to wake up. During extended periods of wakefulness, the increase of sleepiness-related low-EEG frequencies is again evident over the frontal derivations. Similarly, experimental manipulations of sleep length by total sleep deprivation, partial sleep curtailment or even selective slow-wave sleep deprivation lead to a slow-wave activity rebound localized especially on the anterior derivations. Thus, frontal areas are crucially involved in sleep homeostasis. According to the local use-dependent theory, this would derive from a higher sleep need of the frontal cortex, which in turn is due to its higher levels of activity during wakefulness. The fact that different brain regions can simultaneously exhibit different sleep intensities indicates that sleep is not a spatially global and uniform state, as hypothesized in the theory. We have also reviewed recent evidence of localized effects of learning and plasticity on EEG sleep measures. These studies provide crucial support to a key concept in the theory, the one claiming that local sleep characteristics should be use-dependent. Finally, we have reported data corroborating the notion that sleep is not necessarily present simultaneously in the entire brain. Our stereo-EEG recordings clearly indicate that sleep and wakefulness can co-exist in different areas, suggesting that vigilance states are not necessarily temporally discrete states. We conclude that understanding local variations in sleep propensity and depth, especially as a result of brain plasticity, may provide in the near future insightful hints into the fundamental functions of sleep.

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Year:  2011        PMID: 21906022     DOI: 10.2174/156802611797470268

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  16 in total

1.  Cortical connectivity modulation during sleep onset: A study via graph theory on EEG data.

Authors:  Fabrizio Vecchio; Francesca Miraglia; Maurizio Gorgoni; Michele Ferrara; Francesco Iberite; Placido Bramanti; Luigi De Gennaro; Paolo Maria Rossini
Journal:  Hum Brain Mapp       Date:  2017-07-26       Impact factor: 5.038

2.  Regional Delta Waves In Human Rapid Eye Movement Sleep.

Authors:  Giulio Bernardi; Monica Betta; Emiliano Ricciardi; Pietro Pietrini; Giulio Tononi; Francesca Siclari
Journal:  J Neurosci       Date:  2019-02-08       Impact factor: 6.167

3.  Accuracy of Automatic Polysomnography Scoring Using Frontal Electrodes.

Authors:  Magdy Younes; Mark Younes; Eleni Giannouli
Journal:  J Clin Sleep Med       Date:  2016-05-15       Impact factor: 4.062

Review 4.  Sleep-active neuronal nitric oxide synthase-positive cells of the cerebral cortex: a local regulator of sleep?

Authors:  Jonathan P Wisor; Dmitry Gerashchenko; Thomas S Kilduff
Journal:  Curr Top Med Chem       Date:  2011       Impact factor: 3.295

5.  Brain Oscillations, Hypnosis, and Hypnotizability.

Authors:  Mark P Jensen; Tomonori Adachi; Shahin Hakimian
Journal:  Am J Clin Hypn       Date:  2015

6.  Behavioral state classification in epileptic brain using intracranial electrophysiology.

Authors:  Vaclav Kremen; Juliano J Duque; Benjamin H Brinkmann; Brent M Berry; Michal T Kucewicz; Fatemeh Khadjevand; Jamie Van Gompel; Matt Stead; Erik K St Louis; Gregory A Worrell
Journal:  J Neural Eng       Date:  2017-01-04       Impact factor: 5.379

7.  Hybrid classification model for eye state detection using electroencephalogram signals.

Authors:  Shwet Ketu; Pramod Kumar Mishra
Journal:  Cogn Neurodyn       Date:  2021-04-17       Impact factor: 5.082

8.  Hippocampal sleep features: relations to human memory function.

Authors:  Michele Ferrara; Fabio Moroni; Luigi De Gennaro; Lino Nobili
Journal:  Front Neurol       Date:  2012-04-17       Impact factor: 4.003

Review 9.  Cross-talk between circadian clocks, sleep-wake cycles, and metabolic networks: Dispelling the darkness.

Authors:  Sandipan Ray; Akhilesh B Reddy
Journal:  Bioessays       Date:  2016-02-11       Impact factor: 4.345

10.  Partial sleep in the context of augmentation of brain function.

Authors:  Ivan N Pigarev; Marina L Pigareva
Journal:  Front Syst Neurosci       Date:  2014-05-01
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