The effect of multiple audiogenic seizures upon the sleep organization in rats

The organization of sleep during and after frequentative convulsions, consisting of 2, 3, or 5 comparatively rare seizures (following one another with a 90-minute interval) or of 3, 5 or 9 comparatively frequent seizures (following one another with a 45-minute interval) of generalized tonic-clonic character in Krushinskii-Molodkina strain rats with inherited predisposition to audiogenic convulsions, was studied. In frequentative convulsions with rare seizures, between separate seizures, passive wakefulness (75.2 +/- 4.6% time) prevailed under low (24.8 +/- 4.3%) slow-wave sleep and full absence of fast-wave sleep. In rats under frequentative convulsions with frequent seizures, in interictal period, only passive wakefulness was observed under reduction of slow-wave sleep and fast-wave sleep, i.e. total sleep deprivation. Minimal latensy of first episodes of the slow-wave sleep after frequentative convulsions was 59.9 +/- 10.8, and of fast-wave sleep: 158.2 +/- 13.4 min. First episodes of slow-wave sleep and fast-wave sleep had normal structure, though they were lesser and shorter than in control experiments. In spite of long-lasting (up to 7 hrs) absence of slow-wave sleep during seizure and prolonged (8.5 hrs) reduction of fast-wave sleep with no subsequent compensatory increase, these conditions occurred in the wakefulness-sleep cycle during 12-hour reconstruction after convulsions. The reconstruction period after frequentative convulsions was characterized by increase in general share of wakefulness and reduction of total slow-wave and fast-wave sleep as compared with control data. Paroxysmal status seems to disorganize work of the brain somnogenic structures. The function of systems responsible for slow-wave sleep are affected to a lesser extent, but disorganization of the system responsible for fast-wave sleep is more significant and associated with mechanisms of starting the phase of sleep in the first place.     

Lesioning of Deep Prepiriform Cortex Protects Against Ischemic Neuronal Necrosis by Attenuating Extracellular Glutamate Concentrations

Abstract: An area of the deep prepiriform cortex is a controlling site for limbic seizures. Focal pharmacologic blockade of NMDA receptors in the deep prepiriform cortex protects against hippocampal cell injury during limbic seizures induced by intravenous kainate and during the excitotoxicity of global ischemia. In the current study, the deep prepiriform cortex was lesioned bilaterally by microinjection of kainate, 3 days before 10 min of global ischemia induced by four-vessel occlusion. Extracellular glutamate concentrations in the hippocampus were measured before, during, and after global ischemia by using in vivo microdialysis technique. Surviving hippocampal neurons were counted 7 days after ischemia. Lesioned animals showed significantly greater numbers of surviving neurons and significantly lower ischemia-induced elevations of extracellular glutamate concentrations than non-lesioned animals. During seizures induced from the deep prepiriform cortex, the immediate early gene cox-2 is expressed in the hippocampus. These results indicate that deep prepiriform cortex can be a modulatory site for ischemic hippocampal injury.     

In vivo electrophysiological evidences for cortical neuron-glia interactions during slow (<1 Hz) and paroxysmal sleep oscillations.

The cortical activity results from complex interactions within networks of neurons and glial cells. The dialogue signals consist of neurotransmitters and various ions, which cross through the extracellular space. Slow (<1 Hz) sleep oscillations were first disclosed and investigated at the neuronal level where they consist of an alternation of the membrane potential between a depolarized and a hyperpolarized state. However, neuronal properties alone could not account for the mechanisms underlying the oscillatory nature of the sleeping cortex. Here I will show the behavior of glial cells during the slow sleep oscillation and its relationship with the variation of the neuronal membrane potential (pairs of neurons and glia recorded simultaneously and intracellularly) suggesting that, in contrast with previous assumptions, glial cells are not idle followers of neuronal activity. I will equally present measurements of the extracellular concentration of K(+) and Ca(2+), ions known to modulate the neuronal excitability. They are also part of the ionic flux that is spatially buffered by glial cells. The timing of the spatial buffering during the slow oscillation suggests that, during normal oscillatory activity, K(+) ions are cleared from active spots and released in the near vicinity, where they modulate the excitability of the neuronal membrane and contribute to maintain the depolarizing phase of the oscillation. Ca(2+) ions undergo a periodic variation of their extracellular concentration, which modulates the synaptic efficacy. The depolarizing phase of the slow oscillation is associated with a gradual depletion of the extracellular Ca(2+) promoting a progressive disfacilitation in the network. This functional synaptic neuronal disconnection is responsible for the ending of the depolarizing phase of the slow oscillation and the onset of a phasic hyperpolarization during which the neuronal network is silent and the intra- and extracellular ionic concentrations return to normal values. Spike-wave seizures often develop during sleep from the slow oscillation. Here I will show how the increased gap junction communication substantiates the facility of the glial syncytium to spatially buffer K(+) ions that were uptaken during the spike-wave seizures, and therefore contributing to the long-range recruitment of cortical territories. Similar mechanisms as those described during the slow oscillation promote the periodic (2-3 Hz) recurrence of spike-wave complexes.     

Effect of insulin-induced epileptic seizures on neutral glycolipids of rabbit cerebral cortex

The neutral glycolipids of rabbit central cortex were analyzed during epileptic seizures produced by insulin or pentetrazol injection. The two agents gave similar results. A decrease of glycolipid content occurred in the cortex and in the neuronal fraction during seizures. The normal glycolipid level was restored during the recovery phase.     

Interhemispheric EEG asymmetries during unilateral bright-light exposure and subsequent sleep in humans

We tested whether evening exposure to unilateral photic stimulation has repercussions on interhemispheric EEG asymmetries during wakefulness and later sleep. Because light exerts an alerting response in humans, which correlates with a decrease in waking EEG theta/alpha-activity and a reduction in sleep EEG delta activity, we hypothesized that EEG activity in these frequency bands show interhemispheric asymmetries after unilateral bright light (1,500 lux) exposure. A 2-h hemi-field light exposure acutely suppressed occipital EEG alpha activity in the ipsilateral hemisphere activated by light. Subjects felt more alert during bright light than dim light, an effect that was significantly more pronounced during activation of the right than the left visual cortex. During subsequent sleep, occipital EEG activity in the delta and theta range was significantly reduced after activation of the right visual cortex but not after stimulation of the left visual cortex. Furthermore, hemivisual field light exposure was able to shift the left predominance in occipital spindle EEG activity toward the stimulated hemisphere. Time course analysis revealed that this spindle shift remained significant during the first two sleep cycles. Our results reflect rather a hemispheric asymmetry in the alerting action of light than a use-dependent recovery function of sleep in response to the visual stimulation during prior waking. However, the observed shift in the spindle hemispheric dominance in the occipital cortex may still represent subtle local use-dependent recovery functions during sleep in a frequency range different from the delta range.     

Electrographic manifestations of "falling asleep" in isolated cat cortex]

Experiments were conducted on unrestricted cats; a study was made of the electrical activity of the neuronally isolated cortex during the wakeful hours and sleep. Transition from wakefulness to sleep was accompanied in the isolated cortex by the manifestations of drowsiness accompanied by the corresponding changes in the electrocorticogram of the isolated hemisphere. Electrographic manifestation of drowsiness in the isolated cortex depended on the time lapse after the operation and was mostly pronounced during the late period after the isolation of the cortex.     

Odor fear conditioning modifies piriform cortex local field potentials both during conditioning and during post-conditioning sleep

Background

Sleep plays an active role in memory consolidation. Sleep structure (REM/Slow wave activity [SWS]) can be modified after learning, and in some cortical circuits, sleep is associated with replay of the learned experience. While the majority of this work has focused on neocortical and hippocampal circuits, the olfactory system may offer unique advantages as a model system for exploring sleep and memory, given the short, non-thalamic pathway from nose to primary olfactory (piriform cortex), and rapid cortex-dependent odor learning.

Methodology/Principal Findings

We examined piriform cortical odor responses using local field potentials (LFPs) from freely behaving Long-Evans hooded rats over the sleep-wake cycle, and the neuronal modifications that occurred within the piriform cortex both during and after odor-fear conditioning. We also recorded LFPs from naïve animals to characterize sleep activity in the piriform cortex and to analyze transient odor-evoked cortical responses during different sleep stages. Naïve rats in their home cages spent 40% of their time in SWS, during which the piriform cortex was significantly hypo-responsive to odor stimulation compared to awake and REM sleep states. Rats trained in the paired odor-shock conditioning paradigm developed enhanced conditioned odor evoked gamma frequency activity in the piriform cortex over the course of training compared to pseudo-conditioned rats. Furthermore, conditioned rats spent significantly more time in SWS immediately post-training both compared to pre-training days and compared to pseudo-conditioned rats. The increase in SWS immediately after training significantly correlated with the duration of odor-evoked freezing the following day.

Conclusions/Significance

The rat piriform cortex is hypo-responsive to odors during SWS which accounts for nearly 40% of each 24 hour period. The duration of slow-wave activity in the piriform cortex is enhanced immediately post-conditioning, and this increase is significantly correlated with subsequent memory performance. Together, these results suggest the piriform cortex may go offline during SWS to facilitate consolidation of learned odors with reduced external interference.     

Going Beyond a Mean-field Model for the Learning Cortex: Second-Order Statistics

Mean-field models of the cortex have been used successfully to interpret the origin of features on the electroencephalogram under situations such as sleep, anesthesia, and seizures. In a mean-field scheme, dynamic changes in synaptic weights can be considered through fluctuation-based Hebbian learning rules. However, because such implementations deal with population-averaged properties, they are not well suited to memory and learning applications where individual synaptic weights can be important. We demonstrate that, through an extended system of equations, the mean-field models can be developed further to look at higher-order statistics, in particular, the distribution of synaptic weights within a cortical column. This allows us to make some general conclusions on memory through a mean-field scheme. Specifically, we expect large changes in the standard deviation of the distribution of synaptic weights when fluctuation in the mean soma potentials are large, such as during the transitions between the “up” and “down” states of slow-wave sleep. Moreover, a cortex that has low structure in its neuronal connections is most likely to decrease its standard deviation in the weights of excitatory to excitatory synapses, relative to the square of the mean, whereas a cortex with strongly patterned connections is most likely to increase this measure. This suggests that fluctuations are used to condense the coding of strong (presumably useful) memories into fewer, but dynamic, neuron connections, while at the same time removing weaker (less useful) memories.     

Regional vulnerability to oxidative stress in a model of experimental epilepsy

We evaluated oxidative stress associated with a model of experimental epilepsy. Male Wistar rats were injected i.p. with 150 mg/kg convulsant 3-mercaptopropionic acid and decapitated in two stages: during seizures or in the post-seizure period. Spontaneous chemiluminescence, levels of thiobarbituric acid reactive substances, total antioxidant capacity and antioxidant enzyme activities were measured in cerebellum, hippocampus, cerebral cortex and striatum. In animals killed at seizure, increases of 42% and 90% were observed in spontaneous chemiluminescence of cerebellum and cerebral cortex homogenates, respectively, accompanied by a 25% increase in cerebral cortex levels of thiobarbituric acid reactive substances. In the post-seizure stage, emission completely returned to control levels in cerebral cortex and partly in cerebellum, thus showing oxidative stress reversibility in time. Hippocampus and striatum seemed less vulnerable areas to oxidative damage. A 30% decrease in glutathione peroxidase activity was only observed in cerebral cortex during seizures, while catalase and superoxide dismutase remained unchanged in all four areas during either stage. Likewise, total antioxidant capacity was unaffected in any of the studied areas. It is suggested that oxidative stress in this model of epilepsy arises from an increase in oxidant species rather than from depletion of antioxidant defences.     

Quantitative changes in proteins in the cat parietal zone large pyramids in various sleep stages and during wakefulness]

Protein content in large pyramidal cells of the parietal cortex was shown to be by 28.9% lesser during the slow--wave sleep than during the paradoxical sleep.     

Dreaming and schizophrenia: a common neurobiological background?

Normal waking mentation is the outcome of the combined action of both electrophysiological and neurochemical antagonistic and complementary activating and inhibitory influences occurring mainly in the cerebral cortex. The chemical ones are supported principally by acetylcholine, and noradrenaline and serotonin, respectively. During rapid eye movement (REM) sleep, the monoaminergic silence - except dopaminergic ongoing activity - disrupts this equilibrium and seems to be responsible for disturbances of mental activity characteristic of dreaming. This imbalance could cause disconnectivity of cortical areas, failure of latent inhibition and possibly the concomitant prefrontal dorsolateral deactivation. Moreover, the decrease of prefrontal dopaminergic functioning could explain the loss of reflectiveness in this sleep stage. All these phenomena are also encountered in schizophrenia. The psychotic-like mentation of dreaming (hallucinations, delusions, bizarre thought processes) could result from the disinhibition of dopamine influence in the nucleus accumbens by the noradrenergic and serotonergic local silence and/or the lifting of glutamate influence from the prefrontal cortex and hippocampus. We hypothesize that, during REM sleep, the increase of dopamine and the decrease of glutamate release observed in nucleus accumbens reach the threshold values at which psychotic disturbances arise during wakefulness. Whatever the precise mechanism, it seems that the functional state of the prefrontal cortex and nucleus accumbens is the same during dreaming sleep stage and in schizophrenia. The convergent psychological, electrophysiological, tomographic, pharmacological and neurochemical criteria of REM sleep and schizophrenia suggest that this sleep stage could become a good neurobiological model of this psychiatric disease.     

A double-blind investigation of the relationship between seizure activity and the sleep EEG following EEG biofeedback training

The sleep EEGs of eight medically refractory epileptic patients were examined as part of a double-blind, ABA crossover study designed to determine the effectiveness of EEG biofeedback for the control of seizures. The patients were initially reinforced for one of three EEG criteria recorded from electrodes placed over sensorimotor cortex: (a) suppression of 3- to 7-Hz activity, (b) enhancement of 12- to 15-Hz activity, or (c) simultaneous suppression of 3- to 7-Hz and enhancement of 11- to 19-Hz activity. Reinforcement contingencies were reversed during the second or B phase, and then reinstated in their original form during the final A′ phase. All-night polysomnographic recordings were obtained at the end of each conditioning phase and were subjected to both visual and computer-based power spectral analyses. Four of the patients showed changes in their nocturnal paroxysmal activity that were either partially or totally consistent with the ABA′ contingencies of the study. The spectral data proved difficult to interpret, though two trends emerged from the analyses. Decreases in nocturnal 4- to 7-Hz activity were correlated with decreases in seizure activity, and increases in 8- to 11-Hz activity were correlated with decreases in seizure activity. These findings were shown to strengthen the hypothesis that EEG biofeedback may produce changes in the sleep EEG that are related to seizure incidence.     

Characterization of K-Complexes and Slow Wave Activity in a Neural Mass Model

NREM sleep is characterized by two hallmarks, namely K-complexes (KCs) during sleep stage N2 and cortical slow oscillations (SOs) during sleep stage N3. While the underlying dynamics on the neuronal level is well known and can be easily measured, the resulting behavior on the macroscopic population level remains unclear. On the basis of an extended neural mass model of the cortex, we suggest a new interpretation of the mechanisms responsible for the generation of KCs and SOs. As the cortex transitions from wake to deep sleep, in our model it approaches an oscillatory regime via a Hopf bifurcation. Importantly, there is a canard phenomenon arising from a homoclinic bifurcation, whose orbit determines the shape of large amplitude SOs. A KC corresponds to a single excursion along the homoclinic orbit, while SOs are noise-driven oscillations around a stable focus. The model generates both time series and spectra that strikingly resemble real electroencephalogram data and points out possible differences between the different stages of natural sleep.     

Characteristics of integrative brain activity during various stages of sleep and in transitional states

Electropolygraphic study of natural night sleep was performed in 16 adult subjects using correlation, coherent, cluster, and factor analyses. New evidence testifies to the active nature of sleep, which is especially manifest during falling asleep and transition from one stage of sleep to another. Falling asleep and deepening the sleep proved to be accompanied by intense reorganization of the cortico-subcortical relationships, which is reflected in the dynamics of cross-correlative and coherent interrelationships of the brain??s bioelectric potentials. Transition from wakefulness to sleep is a heterogeneous process, which is expressed in significant changes in the weights of factors I, II and III of the vector image of multichannel EEG at stage I (B) of sleep, which might reflect changes in the contribution of the main integrative brain system in the reorganization of the brain??s integrated activity. A considerable increase in the weight of factor I (this reflects generalized the modulating effect of the brainstem on the cortex) and a decrease in the weights of factors II and III (which are related to fronto-occipital and interhemispheric interactions) testify to the special synchronizing role of the brainstem in the development of this initial stage of sleep. Deeper sleep is accompanied by a decrease in interhemispheric EEG relationships of the anterior and inferior frontal areas of the cortex, which suggests that coordinated inactivation of the cortex in both hemispheres leads to reorganization of the activity in the frontal areas. Analysis of the average variance of cross-correlative (CC) EEG relationships demonstrates that stability of the spatial structure of interrelationships between various areas of the brain cortex increases with falling asleep at stage I (A); however, during transition to stage I (B), the CC EEG values become unstable and, with deepening sleep, the variance of these values decreases in the frontal brain cortex. With the onset of the paradoxical phase of sleep, the variance of the levels of interregional interactions increases to the maximum, especially with respect to the EEG relations of the posteriotemporal and inferiofrontal areas of both hemispheres.     

Graph Theoretical Analysis of BOLD Functional Connectivity during Human Sleep without EEG Monitoring

Background

Functional brain networks of human have been revealed to have small-world properties by both analyzing electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) time series.

Methods & Results

In our study, by using graph theoretical analysis, we attempted to investigate the changes of paralimbic-limbic cortex between wake and sleep states. Ten healthy young people were recruited to our experiment. Data from 2 subjects were excluded for the reason that they had not fallen asleep during the experiment. For each subject, blood oxygen level dependency (BOLD) images were acquired to analyze brain network, and peripheral pulse signals were obtained continuously to identify if the subject was in sleep periods. Results of fMRI showed that brain networks exhibited stronger small-world characteristics during sleep state as compared to wake state, which was in consistent with previous studies using EEG synchronization. Moreover, we observed that compared with wake state, paralimbic-limbic cortex had less connectivity with neocortical system and centrencephalic structure in sleep.

Conclusions

In conclusion, this is the first study, to our knowledge, has observed that small-world properties of brain functional networks altered when human sleeps without EEG synchronization. Moreover, we speculate that paralimbic-limbic cortex organization owns an efficient defense mechanism responsible for suppressing the external environment interference when humans sleep, which is consistent with the hypothesis that the paralimbic-limbic cortex may be functionally disconnected from brain regions which directly mediate their interactions with the external environment. Our findings also provide a reasonable explanation why stable sleep exhibits homeostasis which is far less susceptible to outside world.     

Sleep, temperature, activity, and prolactin phenotypes of genetically epilepsy-prone rats

Sleep-wake disturbances are common in epilepsy, yet the potential adverse effect of seizures on sleep is not well characterized. Genetically epilepsy-prone rats (GEPRs) are a well-studied model of genetic susceptibility to audiogenic seizures. To assess their suitability for investigating relationships between seizures and disordered sleep, we characterized the sleep, activity, and tempera ture patterns of 2 GEPR strains (designated 3 and 9) and Sprague-Dawley (SD) rats in the basal state, after forced wakefulness, and after exposure to sound-induced seizures at light onset and dark onset. Because of observed differences in rapid-eye-movement sleep (REMS), we also assessed serum levels of prolactin, which is implicated in REMS regulation. The data reveal that under basal conditions, the GEPR3 strain shows less SWS and REMS, higher core temperatures, and higher serum prolactin concentrations than do GEPR9 and SD strains. All 3 strains respond similarly to enforced sleep loss. Seizures induced at light onset delay the onset of SWS in both GEPR strains. Seizures induced at dark onset do not significantly alter sleep. Genotype assessment indicates that although both GEPR strains are inbred (that is, homozygous at 107 genetic markers), they differ from each other at 74 of 107 loci. Differences in basal sleep, temperature, and prolactin between GEPR3 and GEPR9 strains suggest different homeostatic regulation of these functions. Our detection of concurrent alterations in sleep, temperature, and prolactin in these 2 GEPR strains implicates the hypothalamus as a likely site for anatomic or physiologic variation in the control of these homeostatic processes.     

Influence of Synchronized Sleep on the Biosynthesis of RNA in Two Nuclear Classes Isolated from Rabbit Cerebral Cortex

The biosynthesis of RNA during sleep has been studied in two purified nuclear fractions, separated from rabbit cerebral cortex after subarachnoidal injection of radioactive orotate. The biochemical parameters have been referred to the percent EEG synchronization recorded during the period of incorporation (1 hr). The content of radioactive RNA per nucleus increases significantly with percent synchronization in the fraction of large nuclei (of neuronal and astroglial origin). While sedimentation and electrophoretic analyses of this RNA are consistent with the hypothesis of an enhanced turnover of rRNA during wakefulness, the accumulation of labelled RNA which is observed during sleep may be due to a modified turnover of nuclear heterogeneous RNA. On the other hand, in the fraction of small nuclei (mostly of oligodendroglial origin) the content of radioactive RNA per nucleus and the pattern of sedimentation of labelled RNA show no dependence on the electrical state of the cortex. These data indicate that in the cerebral cortex the sleep-wakefulness transition is accompanied by a different cellular response in RNA turnover.     

Persistence of Cortical Sensory Processing during Absence Seizures in Human and an Animal Model: Evidence from EEG and Intracellular Recordings

Absence seizures are caused by brief periods of abnormal synchronized oscillations in the thalamocortical loops, resulting in widespread spike-and-wave discharges (SWDs) in the electroencephalogram (EEG). SWDs are concomitant with a complete or partial impairment of consciousness, notably expressed by an interruption of ongoing behaviour together with a lack of conscious perception of external stimuli. It is largely considered that the paroxysmal synchronizations during the epileptic episode transiently render the thalamocortical system incapable of transmitting primary sensory information to the cortex. Here, we examined in young patients and in the Genetic Absence Epilepsy Rats from Strasbourg (GAERS), a well-established genetic model of absence epilepsy, how sensory inputs are processed in the related cortical areas during SWDs. In epileptic patients, visual event-related potentials (ERPs) were still present in the occipital EEG when the stimuli were delivered during seizures, with a significant increase in amplitude compared to interictal periods and a decrease in latency compared to that measured from non-epileptic subjects. Using simultaneous in vivo EEG and intracellular recordings from the primary somatosensory cortex of GAERS and non-epileptic rats, we found that ERPs and firing responses of related pyramidal neurons to whisker deflection were not significantly modified during SWDs. However, the intracellular subthreshold synaptic responses in somatosensory cortical neurons during seizures had larger amplitude compared to quiescent situations. These convergent findings from human patients and a rodent genetic model show the persistence of cortical responses to sensory stimulations during SWDs, indicating that the brain can still process external stimuli during absence seizures. They also demonstrate that the disruption of conscious perception during absences is not due to an obliteration of information transfer in the thalamocortical system. The possible mechanisms rendering the cortical operation ineffective for conscious perception are discussed, but their definite elucidation will require further investigations.     

Auditory processing across the sleep-wake cycle: simultaneous EEG and fMRI monitoring in humans

We combined fMRI and EEG recording to study the neurophysiological responses associated with auditory stimulation across the sleep-wake cycle. We found that presentation of auditory stimuli produces bilateral activation in auditory cortex, thalamus, and caudate during both wakefulness and nonrapid eye movement (NREM) sleep. However, the left parietal and, bilaterally, the prefrontal and cingulate cortices and the thalamus were less activated during NREM sleep compared to wakefulness. These areas may play a role in the further processing of sensory information required to achieve conscious perception during wakefulness. Finally, during NREM sleep, the left amygdala and the left prefrontal cortex were more activated by stimuli having special affective significance than by neutral stimuli. These data suggests that the sleeping brain can process auditory stimuli and detect meaningful events.