Spectral Power Time-courses of Human Sleep EEG Reveal a Striking Discontinuity at ∼18 Hz Marking the Division between NREM-specific and Wake/REM-specific Fast Frequency Activity

@article{Merica2005SpectralPT,
  title={Spectral Power Time-courses of Human Sleep EEG Reveal a Striking Discontinuity at ∼18 Hz Marking the Division between NREM-specific and Wake/REM-specific Fast Frequency Activity},
  author={Helli Merica and Ronald D. Fortune},
  journal={Cerebral Cortex},
  year={2005},
  volume={15},
  pages={877-884}
}
Spectral power time-courses over the ultradian cycle of the sleep electroencephalogram (EEG) provide a useful window for exploring the temporal correlation between cortical EEG and sub-cortical neuronal activities. Precision in the measurement of these timecourses is thus important, but it is hampered by lacunae in the definition of the frequency band limits that are in the main based on wake EEG conventions. A frequently seen discordance between the shape of the beta power time-course across… 
View via Publisher
academic.oup.com
19 Citations
Background Citations
5
Methods Citations
3

Figures from this paper

19 Citations

Citation Type

Citation Type

The EEG indicators of the dynamic properties of sleep–wake regulating processes: comparison of the changes occurring across wake–sleep transition with the effects of prolonged wakefulness
Everyday oscillations between wakefulness and sleep might be ultimately delineated as cyclic alternations between opposing neurobiological processes, i.e. those promoting arousal and inhibiting sleep…
The Neuronal Transition Probability (NTP) Model for the Dynamic Progression of Non-REM Sleep EEG: The Role of the Suprachiasmatic Nucleus
TLDR
This paper links for the first time findings at cellular level and detailed time-course data at EEG level, to give a coherent picture of NREM dynamics over the entire night and over hierarchic brain levels all the way from the SCN to the EEG.
A Recurrent Increase of Synchronization in the EEG Continues from Waking throughout NREM and REM Sleep
TLDR
A fundamental coupling pattern with recurrent increases of synchronization in the EEG (“RISE”) seems to exist during the brain's resting state, which might be suited for EEG analysis in clinical situations without stable vigilance.
Electrical activity of the human amygdala during all-night sleep and wakefulness
Interrelations and circadian changes of electroencephalogram frequencies under baseline conditions and constant sleep pressure in the rat
Pointwise Transinformation Distinguishes a Recurrent Increase of Synchronization in the Rapid Eye Movement Sleep Electroencephalogram
  • R. Landwehr, A. Jowaed
  • Biology
    Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society
  • 2012
TLDR
A new descriptive entity is proposed: the recurrent increase of synchronization in the EEG (RISE), which seems to reflect the dynamic aspects of spatiotemporal EEG synchronization on small time scales.
The Relation of Brain Oscillations to Attentional Networks
TLDR
The attention network test is used to separate three anatomically defined brain networks that carry out the functions of alerting, orienting, and executive control of attention and found that each attentional network has a distinct set of oscillations related to its activity.
Week-by-week changes in sleep EEG in healthy full-term newborns.
TLDR
The Sigma frequencies identified suggest that sleep spindle maturation begins by at least 41 weeks of POST-C age, and inter-hemispheric asymmetries during sleep suggest earlier development of the central left region and the right occipital and temporal areas.
REM Sleep POST-EYE Movement Activation
TLDR
Findings showed that directly after eye movement (POST-EM1, POST-EM2), larger recording sites become related; EEG gamma power and local temporal coupling in the frontal and posterior association areas is higher than during T-REM and PRE-EM.
Spectral analysis of the sleep onset period in primary insomnia
...
1
2
...

References

SHOWING 1-10 OF 48 REFERENCES
Relationship between the time courses of power in the frequency bands of human sleep EEG
  • H. Merica, R. Blois
  • Biology, Psychology
    Neurophysiologie Clinique/Clinical Neurophysiology
  • 1997
Brainstem origin for a new very slow (1mHz) oscillation in the human non-REM sleep episode.
TLDR
This work shows that an extension of the NTP model, with the hypothesis of a population of sleep neurons alternating between two steady probability states, can simulate the very slow oscillation, and gives not only the time course of power in the slow wave band, but also the simultaneous time-courses in the spindle and in the fast frequency bands.
The time course of σ activity and slow-wave activity during NREMS in cortical and thalamic EEG of the cat during baseline and after 12 hours of wakefulness
Cortical EEG topography of REM onset: the posterior dominance of middle and high frequencies
A unique pattern of sleep structure is found to be identical at all cortical sites: a neurobiological interpretation.
TLDR
It is argued here that the brain stem therefore modulates the time-courses of spectral power in the different EEG frequency bands, suggesting that two processes may operate concurrently: the brainstem controls the shape and timing of the power time-Courses while cortical-thalamic interaction controls their site-dependent average power.
Spindle frequency activity in the sleep EEG: individual differences and topographic distribution.
Functional topography of the human nonREM sleep electroencephalogram
TLDR
Results indicate that changes in sleep propensity are reflected by specific regional differences in EEG power, and the predominant increase of low‐frequency power in frontal areas may be due to a high ‘recovery need’ of the frontal heteromodal association areas of the cortex.
Beta (20-28 Hz) and delta (0.3-3 Hz) EEGs oscillate reciprocally across NREM and REM sleep.
TLDR
Across-night oscillations of beta and delta electroencephalograms were examined with spectral analysis in 10 normal young adult subjects and it was found that beta power within REM was reliably lower in epochs with more eye movement activity.
Dynamical properties of the sleep EEG in different frequency bands.
TLDR
A new methodical approach is presented, which is a special case of spectral analyzed data processing, that provides a more detailed analysis of the sleep process, especially concerning the dynamics and microstructure of sleep.
Intracellular analysis of relations between the slow (< 1 Hz) neocortical oscillation and other sleep rhythms of the electroencephalogram
TLDR
The data indicate that the thalamus is not essentially implicated in the genesis of the slow rhythm, and through the contralateral thalamocortical systems and callosal projections, also transected the corpus callosum in thalamically lesioned animals, and still recorded theslow rhythm in cortical neurons.
...
1
2
3
4
5
...