Literature DB >> 10733685

The role of the spindle in human information processing of high-intensity stimuli during sleep.

K A Cote1, T M Epps, K B Campbell.   

Abstract

Sleep spindles are 12-14 Hz oscillations in EEG, which are thought to inhibit or 'gate' information processing. Event-related potentials may be employed to probe the extent of information processing during sleep. Previous research indicates that event-related potentials elicited by moderate intensity stimuli show increased positivity (or further removal of negativity) when stimuli are presented concurrent with spindles. However, the effectiveness of spindles to inhibit the processing of much louder stimuli remains unknown. The purpose of the present study was to investigate the extent of this gating, by using a range of stimuli including those that are loud and intrusive. Eight good sleepers were recorded during a single night. Auditory stimuli were delivered randomly at 0, 60, 80 or 100 dB SPL. Trials were sorted off-line by sleep stage, stimulus intensity and spindle characteristic (i.e. spindle absent, spindle present). During the sleep-onset period, the often-reported changes in event-related potentials were observed - N1 decreased and P2 increased in amplitude. In Stage 2 sleep, P2 was affected by the presence of spindles, particularly when stimulus intensity was loud. Its amplitude was greatest when spindles occurred following the onset of the stimulus. Scalp-recorded spindles might, therefore, be a consequence of the prior thalamic inhibition of information processing, especially when confronted by loud, intrusive external stimuli.

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Mesh:

Year:  2000        PMID: 10733685     DOI: 10.1046/j.1365-2869.2000.00188.x

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  27 in total

1.  State-dependent changes in cortical gain control as measured by auditory evoked responses to varying intensity stimuli.

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2.  Single and combined effects of air, road, and rail traffic noise on sleep and recuperation.

Authors:  Mathias Basner; Uwe Müller; Eva-Maria Elmenhorst
Journal:  Sleep       Date:  2011-01-01       Impact factor: 5.849

Review 3.  Neuronal oscillations in sleep: insights from functional neuroimaging.

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4.  Large-scale structure and individual fingerprints of locally coupled sleep oscillations.

Authors:  Roy Cox; Dimitris S Mylonas; Dara S Manoach; Robert Stickgold
Journal:  Sleep       Date:  2018-12-01       Impact factor: 5.849

5.  Autistic Traits Are Associated With Decreased Activity of Fast Sleep Spindles During Adolescence.

Authors:  Ilona Merikanto; Liisa Kuula; Tommi Makkonen; Liisa Salmela; Katri Räikkönen; Anu-Katriina Pesonen
Journal:  J Clin Sleep Med       Date:  2019-03-15       Impact factor: 4.062

Review 6.  Functional neuroimaging insights into the physiology of human sleep.

Authors:  Thien Thanh Dang-Vu; Manuel Schabus; Martin Desseilles; Virginie Sterpenich; Maxime Bonjean; Pierre Maquet
Journal:  Sleep       Date:  2010-12       Impact factor: 5.849

7.  Using Oscillating Sounds to Manipulate Sleep Spindles.

Authors:  James W Antony; Ken A Paller
Journal:  Sleep       Date:  2017-03-01       Impact factor: 5.849

8.  Sleep spindles and human cortical nociception: a surface and intracerebral electrophysiological study.

Authors:  Léa Claude; Florian Chouchou; Germán Prados; Maïté Castro; Barbara De Blay; Caroline Perchet; Luis García-Larrea; Stéphanie Mazza; Hélène Bastuji
Journal:  J Physiol       Date:  2015-10-18       Impact factor: 5.182

9.  Sleep Spindle Refractoriness Segregates Periods of Memory Reactivation.

Authors:  James W Antony; Luis Piloto; Margaret Wang; Paula Pacheco; Kenneth A Norman; Ken A Paller
Journal:  Curr Biol       Date:  2018-05-24       Impact factor: 10.834

Review 10.  Sleep and sleep disorders in older adults.

Authors:  Kate Crowley
Journal:  Neuropsychol Rev       Date:  2011-01-12       Impact factor: 7.444

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