Human gamma oscillations during slow wave sleep

Neocortical local field potentials have shown that gamma oscillations occur spontaneously during slow-wave sleep (SWS). At the macroscopic EEG level in the human brain, no evidences were reported so far. In this study, by using simultaneous scalp and intracranial EEG recordings in 20 epileptic subjects, we examined gamma oscillations in cerebral cortex during SWS. We report that gamma oscillations in low (30-50 Hz) and high (60-120 Hz) frequency bands recurrently emerged in all investigated regions and their amplitudes coincided with specific phases of the cortical slow wave. In most of the cases, multiple oscillatory bursts in different frequency bands from 30 to 120 Hz were correlated with positive peaks of scalp slow waves ("IN-phase" pattern), confirming previous animal findings. In addition, we report another gamma pattern that appears preferentially during the negative phase of the slow wave ("ANTI-phase" pattern). This new pattern presented dominant peaks in the high gamma range and was preferentially expressed in the temporal cortex. Finally, we found that the spatial coherence between cortical sites exhibiting gamma activities was local and fell off quickly when computed between distant sites. Overall, these results provide the first human evidences that gamma oscillations can be observed in macroscopic EEG recordings during sleep. They support the concept that these high-frequency activities might be associated with phasic increases of neural activity during slow oscillations. Such patterned activity in the sleeping brain could play a role in off-line processing of cortical networks.     

The control of thermoregulation in the developing lamb during slow wave sleep

This study investigates the mechanisms involved in adjusting metabolic rate in response to acute changes in ambient temperature close to thermoneutrality during postnatal development. Twelve lambs were prepared for sequential studies at 4, 14, 30, 45 and 55 days of age. During each study they were maintained at ambient temperatures of 5, 10, 15, 20, 25 and 30 degrees C for at least 1 h and until a slow wave sleep epoch was established. Eight lambs completed all studies. In these there was a significant fall in oxygen consumption with age which was independent of ambient temperature. This effect was closely related to a decrease in plasma triiodothyronine concentration that was greatest between 4- and 14-days old lambs and was not associated with a change in the plasma concentration of thyrotrophin or thyroxine. In 4-days old lambs oxygen consumption was increased at ambient temperatures of 5 and 10 degrees C by non-shivering thermogenesis, whilst in 14- and 30-days old lambs this effect was achieved by shivering. On the basis of significant changes in oxygen consumption and/or the occurrence of shivering (lower critical temperature) and panting (upper critical temperature) we have shown that there is a fall in both upper and lower critical temperature with age and a widening of the thermoneutral zone. This was associated with a decrease in the plasma cortisol concentration and heart rate as measured at thermoneutrality, whilst rectal temperature increased from 4 to 30 days of age. The other 4 lambs, 3 of which died between 7 and 17 days of age, had low plasma triiodothyronine concentrations when studied at 4 and/or 14 days of age and their oxygen consumption at thermoneutrality was significantly lower than the normal group at 14 days. Shivering thermogenesis occurred at an earlier age and control of body temperature was less effective. It is concluded that triiodothyronine has an important role in the control of metabolic rate in the developing lamb even to meet modest changes in ambient temperature, and possibly directly in survival.     

Improvement of the night sleep quality by electrocutaneous subthreshold stimulation synchronized with the slow wave sleep

Changes in sleep characteristics were studied under the non-wake-up stimulation with current pulses of less than 1 μA on average, applied to the palmar surface skin receptors during Δ-sleep. A significant increase in duration of the first and second cycles of deep sleep has been found, as well as a shorter latent period before the Δ-sleep onset and a longer time of the rapid sleep (REM phase). The sleep structure improvement was accompanied by the reduced reactive anxiety and depression and an increase in subjective physical efficiency.     

Memory consolidation during sleep involves context reinstatement in humans

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Practitioners of vipassana meditation exhibit enhanced slow wave sleep and REM sleep states across different age groups

Sleep and Biological Rhythms - Intense meditation practices influence brain functions in different ways and at different levels. Earlier studies have shown that meditation practices help to...     

Investigation of dream reports after transcranial direct current stimulation (tDCs) during slow wave sleep (SWS)

Despite being a prominent feature of REM sleep, dreams have also been reported from NREM sleep. Neuroimaging studies have revealed regional patterns of brain activation and deactivation during REM and NREM sleep, with frontal and posterior parietal cortices implicated as brain regions involved in dreaming. From our recent stage 2 study it was revealed that tDCs of these brain regions during this stage of sleep resulted in an increase in reported dream imagery. Thus, the aim of this study was to investigate the effect of simultaneous anodal and cathodal tDCs applied to the right posterior parietal and frontal cortex (respectively) during SWS on dream recall. After 60 s of continuous SWS, participants were administered either tDCs, low tDCs, or blank control, followed by a 60 s delay period to confirm SWS before waking the participant for dream report collection. These conditions were administered in a counterbalanced order across the night. Analyses revealed no significant difference between conditions in the three dream measures. However, an analysis of visualizable nouns to total words revealed a significantly higher ratio in the low tDCs condition compared to the tDCs condition. It was concluded that tDCs had no appreciable effect on reported dream imagery. However, such findings are preliminary as they are from a research protocol which is in the process of refinement with more definitive results expected in future. Thus, further studies should now investigate the application of tDCs using improved methodologies and to other cortical regions implicated in the process of dreaming.

     

Salubrinal, an inhibitor of protein synthesis, promotes deep slow wave sleep

Previous work showed that sleep is associated with increased brain protein synthesis and that arrest of protein synthesis facilitates sleep. Arrest of protein synthesis is induced during the endoplasmic reticulum (ER) stress response, through phosphorylation of eukaryotic initiation factor 2alpha (p-eIF2alpha). We tested a hypothesis that elevation of p-eIF2alpha would facilitate sleep. We studied the effects of intracerebroventricular infusion of salubrinal (Salub), which increases p-eIF2alpha by inhibiting its dephosphorylation. Salub increased deep slow wave sleep by 255%, while reducing active waking by 49%. Delta power within non-rapid eye movement (NREM) sleep was increased, while power in the sigma, beta, and gamma bands during NREM was reduced. We found that Salub increased expression of p-eIF2alpha in the basal forebrain (BF) area, a sleep-wake regulatory brain region. Therefore, we quantified the p-eIF2alpha-immunolabeled neurons in the BF area; Salub administration increased the number of p-eIF2alpha-expressing noncholinergic neurons in the caudal BF. In addition, Salub also increased the intensity of p-eIF2alpha expression in both cholinergic and noncholinergic neurons, but this was more widespread among the noncholinergic neurons. Our findings support a hypothesis that sleep is facilitated by signals associated with the ER stress response.     

Memory facilitation by auditory stimulation during paradoxal sleep in man

REM sleep involvement in memory processes was demonstrated in animals and humans. Learning sessions are followed by modifications of REM sleep patterns. Furthermore, one can modify sleep patterns by applying auditory stimulation during REM sleep oculomotor activity. We show that such a procedure facilitates the retention of Morse code learning.     

Prenatal experience and postnatal development of the rat hippocampus: sleep deprivation of pregnant rats

The effects of sleep deprivation in pregnancy on the development of hippocampal function of the offspring have been investigated. For this purpose we compared electrophysiological characteristics in the hippocampal slices of 15-20-old-day rats of the control and two experimental groups. In the first experimental group the pups were taken from mother for weighting three times during the first postnatal week and then weekly. Another experimental group was brought up without handling. We found that CA1 population spikes developed to significantly less amplitude in experimental groups of rat pups. This phenomenon was observed at higher intensity of monosynaptic activation, although near-threshold stimuli didn't reveal any differences among groups. However, under paired-pulse stimulation (70 ms inter-pulse interval) small amplitudes in the hippocampal slices of experimental animals could facilitate up to control value, and second in pair responses didn't differ from corresponding control. Our data doesn't confirm the hypothesis about decreased connectivity in the hippocampus of experimental rats, but the efficacy of CA3-CA1 inputs seems to be lower. Besides excitatory transmission, the effectiveness of inhibition of paired-pulse facilitation at 15 ms inter-pulse interval was also significantly decreased. The observed effects of prenatal influences seem to develop under postnatal experience. We observed significant trend to more pronounced modifications upon age especially in the case of early handling and testing.     

The excitation wave returning to the hippocampus through the entorhinal cortex can reactivate the populations of "trained" CA1 neurons during deep sleep

It is suggested that the information about a new stimulus from the neocortex is transferred to the hippocampus and forms there a transient trace in the form of a distributed pattern of modified synapses. During sleep, the neuronal populations which store this trace are reactivated and return to the neocortex the information necessary for consolidation of the permanent memory trace. A possible mechanism of the reactivation of the "learned" hippocampal neurons during memory consolidation is the reverberation of excitation in the neuronal circuits connecting the hippocampus and the entorhinal cortex. In rats, we recorded responses in hippocampal field CA1 to stimulation of the Schaffer collaterals with potentiated synapses during wakefulness and sleep. We showed that in the periods of deep sleep, after the discharge of CA1 neurons, the wave of excitation passes through the entorhinal cortex and via the perforant path fibers enters the hippocampus and the dentate gyrus, causing in the latter the discharge of neurons. The repeated discharge of the CA1 neurons develops as the result of interaction of the early wave which is returned directly via the perforant path fibers and the late wave which is returned via the Schaffer collaterals, but not through the dentate gyrus and hippocampal field CA3 (trisynaptic pathway), but, probably, through the field CA2.     

A slow wave frequency complex of the canine small intestine during the fasting state

The electrical activity of the duodenum and proximal jejunum was studied in conscious healthy dogs implanted with unipolar silver electrodes. A computerized method was used for the calculation of the mean frequency of the slow wave for each consecutive minute of the electromyographic signal. A "slow wave frequency complex" was identified in the fasted animals. It was characterized by an increase of the mean frequency of the slow wave which ranged, from one dog to another, between 1 and 3 cycles/min. The complex lasted about 30 min. It consisted of two distinct phases: a phase of increasing frequency of the slow wave which lasted about one-third of the total duration of the complex and a phase of progressive return of the frequency to its precomplex value. Each phase III of the migrating myoelectric complex occurring in both the duodenum and the jejunum was associated with one slow wave frequency complex. The phase III began a few minutes before the start of the slow wave frequency complex and ended a few minutes before the slow wave frequency reached its maximum. Ectopic phase IIIs which occurred in the jejunum but not in the duodenum were not associated with slow wave frequency complexes. The slow wave frequency complex was never seen in the fed dogs.     

Modelling slow wave activity in the small intestine

We have developed an anatomically based model to simulate slow wave activity in the small intestine. Geometric data for the human small intestine were obtained from the Visible Human project. These data were used to create a one-dimensional finite element mesh of the entire small intestine using an iterative fitting procedure. The electrically active components of the intestinal walls were modelled using a modified Fitzhugh-Nagumo cell model embedded within a longitudinal smooth muscle layer and a layer containing Interstitial Cells of Cajal. Within these layers, the monodomain equation was used to describe slow wave propagation. To solve the monodomain equation, a high-resolution finite difference grid, with an average spatial resolution of 0.95 mm, was embedded within each finite element. The resulting simulations of intestinal activity agree with the experimental observation that slow wave frequency gradually declines from 12 cycles per minute (cpm) in the duodenum to 8 cpm at the terminal ileum. Furthermore, the simulations demonstrated a decrease in conduction velocity with distance along the small intestine (10.7 cm/s in the duodenum, 5.1cm/s in the jejunum and 1.4 cm/s in the ileum), matching experimental recordings from the canine small intestine. We conclude that the framework presented here is capable of qualitatively simulating normal slow wave activity in an anatomical model of the small intestine.     

Selection of stimulus parameters for enhancing slow wave sleep events with a neural-field theory thalamocortical model

Slow-wave sleep cortical brain activity, conformed by slow-oscillations and sleep spindles, plays a key role in memory consolidation. The increase of the power of the slow-wave events, obtained by auditory sensory stimulation, positively correlates with memory consolidation performance. However, little is known about the experimental protocol maximizing this effect, which could be induced by the power of slow-oscillation, the number of sleep spindles, or the timing of both events’ co-occurrence. Using a mean-field model of thalamocortical activity, we studied the effect of several stimulation protocols, varying the pulse shape, duration, amplitude, and frequency, as well as a target-phase using a closed-loop approach. We evaluated the effect of these parameters on slow-oscillations (SO) and sleep-spindles (SP), considering: (i) the power at the frequency bands of interest, (ii) the number of SO and SP, (iii) co-occurrences between SO and SP, and (iv) synchronization of SP with the up-peak of the SO. The first three targets are maximized using a decreasing ramp pulse with a pulse duration of 50 ms. Also, we observed a reduction in the number of SO when increasing the stimulus energy by rising its amplitude. To assess the target-phase parameter, we applied closed-loop stimulation at 0°, 45°, and 90° of the phase of the narrow-band filtered ongoing activity, at 0.85 Hz as central frequency. The 0° stimulation produces better results in the power and number of SO and SP than the rhythmic or random stimulation. On the other hand, stimulating at 45° or 90° change the timing distribution of spindles centers but with fewer co-occurrences than rhythmic and 0° phase. Finally, we propose the application of closed-loop stimulation at the rising zero-cross point using pulses with a decreasing ramp shape and 50 ms of duration for future experimental work.     

Noise-induced transitions in slow wave neuronal dynamics

Many neuronal systems exhibit slow random alternations and sudden switches in activity states. Models with noisy relaxation dynamics (oscillatory, excitable or bistable) account for these temporal, slow wave, patterns and the fluctuations within states. The noise-induced transitions in a relaxation dynamics are analogous to escape by a particle in a slowly changing double-well potential. In this formalism, we obtain semi-analytically the first and second order statistical properties: the distributions of the slow process at the transitions and the temporal correlations of successive switching events. We find that the temporal correlations can be used to help distinguish among biophysical mechanisms for the slow negative feedback, such as divisive or subtractive. We develop our results in the context of models for cellular pacemaker neurons; they also apply to mean-field models for spontaneously active networks with slow wave dynamics.     

Large-scale cortical dynamics of sleep slow waves

Slow waves constitute the main signature of sleep in the electroencephalogram (EEG). They reflect alternating periods of neuronal hyperpolarization and depolarization in cortical networks. While recent findings have demonstrated their functional role in shaping and strengthening neuronal networks, a large-scale characterization of these two processes remains elusive in the human brain. In this study, by using simultaneous scalp EEG and intracranial recordings in 10 epileptic subjects, we examined the dynamics of hyperpolarization and depolarization waves over a large extent of the human cortex. We report that both hyperpolarization and depolarization processes can occur with two different characteristic time durations which are consistent across all subjects. For both hyperpolarization and depolarization waves, their average speed over the cortex was estimated to be approximately 1 m/s. Finally, we characterized their propagation pathways by studying the preferential trajectories between most involved intracranial contacts. For both waves, although single events could begin in almost all investigated sites across the entire cortex, we found that the majority of the preferential starting locations were located in frontal regions of the brain while they had a tendency to end in posterior and temporal regions.     

Regional slow waves and spindles in human sleep

The most prominent EEG events in sleep are slow waves, reflecting a slow (<1 Hz) oscillation between up and down states in cortical neurons. It is unknown whether slow oscillations are synchronous across the majority or the minority of brain regions--are they a global or local phenomenon? To examine this, we recorded simultaneously scalp EEG, intracerebral EEG, and unit firing in multiple brain regions of neurosurgical patients. We find that most sleep slow waves and the underlying active and inactive neuronal states occur locally. Thus, especially in late sleep, some regions can be active while others are silent. We also find that slow waves can propagate, usually from medial prefrontal cortex to the medial temporal lobe and hippocampus. Sleep spindles, the other hallmark of NREM sleep EEG, are likewise predominantly local. Thus, intracerebral communication during sleep is constrained because slow and spindle oscillations often occur out-of-phase in different brain regions.     

Regional variation in cholinergic terminal activity determines the non-uniform occurrence of cortical slow waves during REM sleep in mice

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P3, Positive slow wave and working memory load: a study on the functional correlates of slow wave activity

Parietal positivities of the `slow wave' type are known to emerge after the P300 whenever target detection leads to a complex subsidiary task. Although the functional correlates of these `positive slow waves' (PSW) are not known, it has been suggested that they may index (a) the selection or decision processes, (b) the preparation of the response or (c) the evaluation of its correctness. We investigated whether PSW could be dissociated from each of these putative steps of information processing by means of a paradigm devoid of motor components and needing very long reaction times. In our protocol, target stimuli acted as the triggering signal to perform silently one of 4 different tasks, namely (a) simple updating of a target count; (b) counting backward in threes; (c) simultaneous updating of two items (day of the week and ordinal of the month) and (d) updating of 3 items (the two above plus the month of the year). Reaction times to the same stimuli were obtained in 5 subjects during separate sessions. The different tasks did not modify the latencies of N2 or P3b components, but attenuated the amplitude of P3 as a mirror image of the subjective difficulty scores. A conspicuous parietal PSW appeared in conditions where two or 3 items had to be updated. This PSW developed 1–2 s earlier than the reaction times to the same experiments and could be therefore dissociated from the selection and decision processes. PSW latency was correlated with the number of items to be updated, but not with subjective difficulty. In the present paradigm PSW appeared to index the retrieval of information from working memory; however, in more general terms our results suggest that PSW is a non-specific activity that signals the completion of any synchronized operation immediately following target detection. Our data suggest a functional link between P3 and PSW, also supported by the similarity of their respective scalp topographies. The present paradigm proved to be easy to implement and suitable to study the `executive' functions governing attentional and working-memory control during the performance of multiple tasks.