Grouping of Spindle Activity during Slow Oscillations in Human Non-Rapid Eye Movement Sleep

  title={Grouping of Spindle Activity during Slow Oscillations in Human Non-Rapid Eye Movement Sleep},
  author={Matthias M{\"o}lle and Lisa Marshall and Steffen Gais and Jan Born},
  journal={The Journal of Neuroscience},
  pages={10941 - 10947}
Based on findings primarily in cats, the grouping of spindle activity and fast brain oscillations by slow oscillations during slow-wave sleep (SWS) has been proposed to represent an essential feature in the processing of memories during sleep. We examined whether a comparable grouping of spindle and fast activity coinciding with slow oscillations can be found in human SWS. For negative and positive half-waves of slow oscillations (dominant frequency, 0.7–0.8 Hz) identified during SWS in humans… 

Figures and Tables from this paper

Spindle activity phase-locked to sleep slow oscillations

Hippocampal sharp wave-ripples linked to slow oscillations in rat slow-wave sleep.

Results support the notion that the depolarizing surface-positive phase of the slow oscillation and the associated up state of prefrontal excitation promotes hippocampal SPWs via efferent pathways.

Human Gamma Oscillations during Slow Wave Sleep

These results provide the first human evidences that gamma oscillations can be observed in macroscopic EEG recordings during sleep and support the concept that these high-frequency activities might be associated with phasic increases of neural activity during slow oscillations.

Fast and slow spindles during the sleep slow oscillation: disparate coalescence and engagement in memory processing.

The reported temporal relationships during SO sequences suggest that fast spindles, driven by the SO up-state feed back to enhance the likelihood of succeeding SOs together with slow spindle, possibly play a key role in sleep-dependent memory processing.

Temporal coupling of parahippocampal ripples, sleep spindles and slow oscillations in humans.

Ripples were consistently associated with interictal spikes suggesting that spike-ripple complexes represent an epileptic transformation of sharp wave-ripples complexes in the epileptic hippocampus, consistent with the notion of a hippocampo-to-neocortical information transfer during sleep that is linked to coordinate ripple and spindle activity.

Sleep Spindles in Humans: Insights from Intracranial EEG and Unit Recordings

It is found that spindles occur across multiple neocortical regions, and less frequently also in the parahippocampal gyrus and hippocampus, and that deeper NREM sleep is associated with a reduction in spindle occurrence and spindle frequency.

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

The recruitment of partially segregated cortical networks for slow and fast spindles further supports the existence of two spindle types during human non-rapid eye movement sleep, with potentially different functional significance.

Theta Bursts Precede, and Spindles Follow, Cortical and Thalamic Downstates in Human NREM Sleep

It is shown during natural sleep directly from the human cortex and thalamus, as well as on the scalp, that TBs precede, and spindles follow DSs, the first detailed description of another kind of sleep wave: theta bursts (TBs), a brief oscillation at ∼six cycles per second.



Synchronization of fast (30-40 Hz) spontaneous cortical rhythms during brain activation

The experiments demonstrate that the conventional notion of a totally desynchronized cortical activity upon arousal should be revised as fast rhythms are enhanced and synchronized within intracortical networks during brain activation.

Low-frequency (<1Hz) oscillations in the human sleep electroencephalogram

Spatiotemporal Analysis of Local Field Potentials and Unit Discharges in Cat Cerebral Cortex during Natural Wake and Sleep States

The results show that natural SWS in cats is characterized by slow-wave complexes, synchronized over large cortical territories, interleaved with brief periods of fast oscillations, characterized by local synchrony, and of characteristics similar to that of the sustainedfast oscillations of activated states.

Coalescence of sleep rhythms and their chronology in corticothalamic networks.

The cellular substrates of sleep oscillations have recently been investigated by means of multi-site, intracellular and extracellular recordings under anesthesia, and these data have been validated

Effect of slow-wave sleep deprivation on topographical distribution of spindles

Cellular basis of EEG slow rhythms: a study of dynamic corticothalamic relationships

  • D. ContrerasM. Steriade
  • Biology
    The Journal of neuroscience : the official journal of the Society for Neuroscience
  • 1995
During low-frequency oscillatory states, characteristic of slow-wave sleep, neocortical and thalamic neurons display phase relations that are restricted to narrow time windows, and that synchronization results from a generalized inhibitory phenomenon.

Intracellular analysis of relations between the slow (< 1 Hz) neocortical oscillation and other sleep rhythms of the electroencephalogram

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.

Spindle oscillation in cats: the role of corticothalamic feedback in a thalamically generated rhythm.

It is proposed that the waxing pattern of spindle oscillation is due to a progressive entrainment of units into the oscillation until a maximum number is reached, depending on the background activity in the network.

Topographical distribution of spindles: variations between and within nrem sleep cycles.

The results confirm and extend, to the level of macroscopic EEG, the reciprocal relationship between sigma and delta waves previously shown by spectral analysis of EEG frequencies and, at a neuronal level in the thalamocortical network, by changes of membrane potentials that oscillate in the frequency range of spindles or delta at different levels of hyperpolarization.