Literature DB >> 22274804

Neuronal oscillations in sleep: insights from functional neuroimaging.

Thien Thanh Dang-Vu1.   

Abstract

Recent functional neuroimaging studies have investigated brain activity patterns during sleep in humans, beyond the conventionally defined sleep stages. These works have characterized the neural activations related to the major brain oscillations of sleep, that is, spindles and slow waves during non-rapid-eye-movement sleep and ponto-geniculo-occipital waves during rapid-eye-movement sleep. These phasic events have been found associated with increases of brain activity in specific neural networks, which identify structures involved in the generation of sleep oscillations. Most importantly, these results confirm that, even during the deepest stages of sleep, neuronal network activities are sustained and organized by spontaneous brain oscillations of sleep. The understanding of the neural mechanisms underlying sleep oscillations is fundamental since increasing evidence suggests a pivotal role for these rhythms in the functional properties of sleep. In particular, interactions between the sleeping brain and the surrounding environment are closely modulated by neuronal oscillations of sleep. Functional neuroimaging studies have demonstrated that spindles distort the transmission of auditory information to the cortex, therefore isolating the brain from external disturbances during sleep. In contrast, slow waves evoked by acoustic stimulation--and also termed K-complexes--are associated with larger auditory cortex activation, thus reflecting an enhanced processing of external information during sleep. Future brain imaging studies of sleep should further explore the contribution of neuronal oscillations to the off-line consolidation of memory during sleep.

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Year:  2012        PMID: 22274804     DOI: 10.1007/s12017-012-8166-1

Source DB:  PubMed          Journal:  Neuromolecular Med        ISSN: 1535-1084            Impact factor:   3.843


  86 in total

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10.  Hemodynamic cerebral correlates of sleep spindles during human non-rapid eye movement sleep.

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  9 in total

Review 1.  Seizures and brain regulatory systems: consciousness, sleep, and autonomic systems.

Authors:  Madineh Sedigh-Sarvestani; Hal Blumenfeld; Tobias Loddenkemper; Lisa M Bateman
Journal:  J Clin Neurophysiol       Date:  2015-06       Impact factor: 2.177

2.  Non-rapid eye movement sleep determines resilience to social stress.

Authors:  Brittany J Bush; Caroline Donnay; Eva-Jeneé A Andrews; Darielle Lewis-Sanders; Cloe L Gray; Zhimei Qiao; Allison J Brager; Hadiya Johnson; Hamadi C S Brewer; Sahil Sood; Talib Saafir; Morris Benveniste; Ketema N Paul; J Christopher Ehlen
Journal:  Elife       Date:  2022-09-23       Impact factor: 8.713

3.  Phase-locked loop for precisely timed acoustic stimulation during sleep.

Authors:  Giovanni Santostasi; Roneil Malkani; Brady Riedner; Michele Bellesi; Giulio Tononi; Ken A Paller; Phyllis C Zee
Journal:  J Neurosci Methods       Date:  2015-11-28       Impact factor: 2.390

Review 4.  Sleep and the functional connectome.

Authors:  Dante Picchioni; Jeff H Duyn; Silvina G Horovitz
Journal:  Neuroimage       Date:  2013-05-24       Impact factor: 6.556

Review 5.  Heart rate variability: a tool to explore the sleeping brain?

Authors:  Florian Chouchou; Martin Desseilles
Journal:  Front Neurosci       Date:  2014-12-11       Impact factor: 4.677

Review 6.  Sleep Spindles as an Electrographic Element: Description and Automatic Detection Methods.

Authors:  Dorothée Coppieters 't Wallant; Pierre Maquet; Christophe Phillips
Journal:  Neural Plast       Date:  2016-07-11       Impact factor: 3.599

7.  Objective and subjective measures of prior sleep-wake behavior predict functional connectivity in the default mode network during NREM sleep.

Authors:  Rebecca S Wilson; Stephen D Mayhew; David T Rollings; Aimee Goldstone; Joanne R Hale; Andrew P Bagshaw
Journal:  Brain Behav       Date:  2018-12-04       Impact factor: 2.708

8.  Propagated infra-slow intrinsic brain activity reorganizes across wake and slow wave sleep.

Authors:  Anish Mitra; Abraham Z Snyder; Enzo Tagliazucchi; Helmut Laufs; Marcus E Raichle
Journal:  Elife       Date:  2015-11-09       Impact factor: 8.140

9.  Using MEG to Understand the Progression of Light Sleep and the Emergence and Functional Roles of Spindles and K-Complexes.

Authors:  Andreas A Ioannides; Lichan Liu; Vahe Poghosyan; George K Kostopoulos
Journal:  Front Hum Neurosci       Date:  2017-06-16       Impact factor: 3.169

  9 in total

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