Fast Rhythmic Bursting Research Articles

Collection of simulated data for validation of methods of analysis of extracellular potentials

Collection of simulated data for validation of methods of analysis of extracellular potentials

Extracellular Ca2 + fluctuations in vivo affect afterhyperpolarization potential and modify firing patterns of neocortical neurons

Neocortical neurons can be classified in four major electrophysiological types according to their pattern of discharge: regular-spiking (RS), intrinsically-bursting (IB), fast-rhythmic-bursting (FRB), and fast-spiking (FS). Previously, we have shown that these firing patterns are not fixed and can change as a function of membrane potential and states of vigilance. Other studies have reported that extracellular calcium concentration ([Ca2+]o) fluctuates as a function of the phase of the cortical slow oscillation. In the present study we investigated how spontaneous and induced changes in [Ca2+]o affect the properties of action potentials (APs) and firing patterns in cortical neurons in vivo. Intracellular recordings were performed in cats anesthetized with ketamine–xylazine during spontaneous [Ca2+]o fluctuation and while changing [Ca2+]o with reverse microdialysis. When [Ca2+]o fluctuated spontaneously according to the phase of the slow oscillation, we found an increase of the firing threshold and a decrease of the afterhyperpolarization (AHP) amplitude during the depolarizing (active, up) phase of the slow oscillation and some neurons also changed their firing pattern as compared with the hyperpolarizing (silent, down) phase. Induced changes in [Ca2+]o significantly affected the AP properties in all neurons. The AHP amplitude was increased in high calcium conditions and decreased in low calcium conditions, in particular the earliest components. Modulation of spike AHP resulted in notable modulation of intrinsic firing pattern and some RS neurons revealed burst firing when [Ca2+]o was decreased. We also found an increase in AHP amplitude in high [Ca2+]o with in vitro preparation. We suggest that during spontaneous network oscillations in vivo, the dynamic changes of firing patterns depend partially on fluctuations of the [Ca2+]o.

The Same Core Rhythm Generator Underlies Different Rhythmic Motor Patterns

Rhythmically active motor circuits can generate different activity patterns in response to different inputs. In most systems, however, it is not known whether the same neurons generate the underlying rhythm for each different pattern. Thus far, information regarding the degree of conservation of rhythm generator neurons is limited to a few pacemaker-driven circuits, in most of which the core rhythm generator is unchanged across different output patterns. We are addressing this issue in the network-driven, gastric mill (chewing) circuit in the crab stomatogastric nervous system. We first establish that distinct gastric mill motor patterns are triggered by separate stimulation of two extrinsic input pathways, the ventral cardiac neurons (VCNs) and postoesophageal commissure (POC) neurons. A prominent feature that distinguishes these gastric mill motor patterns is the LG (lateral gastric) protractor motor neuron activity pattern, which is tonic during the VCN rhythm and exhibits fast rhythmic bursting during the POC rhythm. These two motor patterns also differed in their cycle period and some motor neuron phase relationships, duty cycles, and burst durations. Despite the POC and VCN motor patterns being distinct, rhythm generation during each motor pattern required the activity of the same two, reciprocally inhibitory gastric mill neurons [LG, Int1 (interneuron 1)]. Specifically, reversibly hyperpolarizing LG or Int1, but no other gastric mill neuron, delayed the start of the next gastric mill cycle until after the imposed hyperpolarization. Thus, the same circuit neurons can comprise the core rhythm generator during different versions of a network-driven rhythmic motor pattern.

Classification of extracellularly recorded neurons by their discharge patterns and their correlates with intracellularly identified neuronal types in the frontal cortex of behaving monkeys

Neurons in the cerebral cortex are not homogeneous. However, neuronal types have been ignored in most previous work studying neuronal processes in behaving monkeys. We propose a new method to identify neuronal types in extracellular recording studies of behaving monkeys. We classified neurons as either bursting or non-bursting, and then classified the bursting neurons into three types: (i) neurons displaying a burst of many spikes (maximum number of spikes within a burst; NSB max > or = 8) at a high discharge rate (maximum interspike interval; ISI max < 5 ms); (ii) neurons displaying a burst of fewer spikes (NSB max < or = 5) at a high discharge rate (ISI max < 5 ms); and (iii) neurons displaying a burst of a few spikes (NSB max < or = 7) at relatively long ISIs (ISI max > 5 ms). We found that the discharge patterns of the four groups corresponded to those of regular spiking (RS), fast spiking (FS), fast rhythmic bursting (FRB) and intrinsic bursting (IB) neurons demonstrated in intracellular recording studies using in vitro slice preparations, respectively. In addition, we examined correlations with the task events for neurons recorded in the frontal eye field and neuronal interactions for pairs of neurons recorded simultaneously from a single electrode. We found that they were substantially different between RS and FS types. These results suggest that neurons in the frontal cortex of behaving monkeys can be classified into four types based on their discharge patterns, and that these four types contribute differentially to cortical operations.

Novel modes of rhythmic burst firing at cognitively-relevant frequencies in thalamocortical neurons

It is now widely accepted that certain types of cognitive functions are intimately related to synchronized neuronal oscillations at both low (α/θ) (4–7/8–13 Hz) and high (β/γ) (18–35/30–70 Hz) frequencies. The thalamus is a key participant in many of these oscillations, yet the cellular mechanisms by which this participation occurs are poorly understood. Here we describe how, under appropriate conditions, thalamocortical (TC) neurons from different nuclei can exhibit a wide array of largely unrecognised intrinsic oscillatory activities at a range of cognitively-relevant frequencies. For example, both metabotropic glutamate receptor (mGluR) and muscarinic Ach receptor (mAchR) activation can cause rhythmic bursting at α/θ frequencies. Interestingly, key differences exist between mGluR- and mAchR-induced bursting, with the former involving extensive dendritic Ca 2+ electrogenesis and being mimicked by a non-specific block of K + channels with Ba 2+, whereas the latter appears to be more reliant on proximal Na + channels and a prominent spike afterdepolarization (ADP). This likely relates to the differential somatodendritic distribution of mGluRs and mAChRs and may have important functional consequences. We also show here that in similarity to some neocortical neurons, inhibiting large-conductance Ca 2+-activated K + channels in TC neurons can lead to fast rhythmic bursting (FRB) at ∼ 40 Hz. This activity also appears to rely on a Na + channel-dependent spike ADP and may occur in vivo during natural wakefulness. Taken together, these results show that TC neurons are considerably more flexible than generally thought and strongly endorse a role for the thalamus in promoting a range of cognitively-relevant brain rhythms.

Synchronous and asynchronous bursting states: role of intrinsic neural dynamics

Brain signals such as local field potentials often display gamma-band oscillations (30-70 Hz) in a variety of cognitive tasks. These oscillatory activities possibly reflect synchronization of cell assemblies that are engaged in a cognitive function. A type of pyramidal neurons, i.e., chattering neurons, show fast rhythmic bursting (FRB) in the gamma frequency range, and may play an active role in generating the gamma-band oscillations in the cerebral cortex. Our previous phase response analyses have revealed that the synchronization between the coupled bursting neurons significantly depends on the bursting mode that is defined as the number of spikes in each burst. Namely, a network of neurons bursting through a Ca(2+)-dependent mechanism exhibited sharp transitions between synchronous and asynchronous firing states when the neurons exchanged the bursting mode between singlet, doublet and so on. However, whether a broad class of bursting neuron models commonly show such a network behavior remains unclear. Here, we analyze the mechanism underlying this network behavior using a mathematically tractable neuron model. Then we extend our results to a multi-compartment version of the NaP current-based neuron model and prove a similar tight relationship between the bursting mode changes and the network state changes in this model. Thus, the synchronization behavior couples tightly to the bursting mode in a wide class of networks of bursting neurons.

Stimulus-Dependent γ (30-50 Hz) Oscillations in Simple and Complex Fast Rhythmic Bursting Cells in Primary Visual Cortex

Oscillatory activity is generated by many neural systems. gamma band (approximately 40 Hz) oscillations in the thalamus and cortex occur spontaneously and in response to sensory stimuli. Fast rhythmic bursting (FRB) cells (also called chattering cells) comprise a unique class of cortical neurons that, during depolarization by current injection, intrinsically generate bursts of high-frequency action potentials with an interburst frequency between 30 and 50 Hz. In the present study, we show for the first time that FRB cells in the primary visual cortex can be either simple or complex and are distributed throughout all cortical layers. Strikingly, both simple and complex FRB cells generate spike bursts at gamma frequencies in response to depolarizing current pulses, but only simple FRB cells exhibit a selective, stimulus feature-dependent increase in gamma oscillations in response to visual stimulation. In addition, we find that hyperpolarization does not reduce the relative power of visually evoked gamma oscillations in the V(m) response of FRB cells. Our results thus indicate that visually evoked gamma activity in individual simple and complex FRB cells is generated in large part by rhythmic synaptic input, rather than by depolarization-dependent activation of intrinsic properties. Finally, the presence of FRB cells in layer 6 suggests a role for corticothalamic feedback in potentiating thalamic oscillations and facilitating the generation of a corticothalamocortical oscillatory loop. We propose that rather than functioning as pacemakers, FRB cells amplify and distribute stimulus-driven gamma oscillations in the neocortex.

Single-Column Thalamocortical Network Model Exhibiting Gamma Oscillations, Sleep Spindles, and Epileptogenic Bursts

To better understand population phenomena in thalamocortical neuronal ensembles, we have constructed a preliminary network model with 3,560 multicompartment neurons (containing soma, branching dendrites, and a portion of axon). Types of neurons included superficial pyramids (with regular spiking [RS] and fast rhythmic bursting [FRB] firing behaviors); RS spiny stellates; fast spiking (FS) interneurons, with basket-type and axoaxonic types of connectivity, and located in superficial and deep cortical layers; low threshold spiking (LTS) interneurons, which contacted principal cell dendrites; deep pyramids, which could have RS or intrinsic bursting (IB) firing behaviors, and endowed either with nontufted apical dendrites or with long tufted apical dendrites; thalamocortical relay (TCR) cells; and nucleus reticularis (nRT) cells. To the extent possible, both electrophysiology and synaptic connectivity were based on published data, although many arbitrary choices were necessary. In addition to synaptic connectivity (by AMPA/kainate, NMDA, and GABA(A) receptors), we also included electrical coupling between dendrites of interneurons, nRT cells, and TCR cells, and--in various combinations--electrical coupling between the proximal axons of certain cortical principal neurons. Our network model replicates several observed population phenomena, including 1) persistent gamma oscillations; 2) thalamocortical sleep spindles; 3) series of synchronized population bursts, resembling electrographic seizures; 4) isolated double population bursts with superimposed very fast oscillations (>100 Hz, "VFO"); 5) spike-wave, polyspike-wave, and fast runs (about 10 Hz). We show that epileptiform bursts, including double and multiple bursts, containing VFO occur in rat auditory cortex in vitro, in the presence of kainate, when both GABA(A) and GABA(B) receptors are blocked. Electrical coupling between axons appears necessary (as reported previously) for persistent gamma and additionally plays a role in the detailed shaping of epileptogenic events. The degree of recurrent synaptic excitation between spiny stellate cells, and their tendency to fire throughout multiple bursts, also appears critical in shaping epileptogenic events.

A role for fast rhythmic bursting neurons in cortical gamma oscillations in vitro.

Basic cellular and network mechanisms underlying gamma frequency oscillations (30-80 Hz) have been well characterized in the hippocampus and associated structures. In these regions, gamma rhythms are seen as an emergent property of networks of principal cells and fast-spiking interneurons. In contrast, in the neocortex a number of elegant studies have shown that specific types of principal neuron exist that are capable of generating powerful gamma frequency outputs on the basis of their intrinsic conductances alone. These fast rhythmic bursting (FRB) neurons (sometimes referred to as "chattering" cells) are activated by sensory stimuli and generate multiple action potentials per gamma period. Here, we demonstrate that FRB neurons may function by providing a large-scale input to an axon plexus consisting of gap-junctionally connected axons from both FRB neurons and their anatomically similar counterparts regular spiking neurons. The resulting network gamma oscillation shares all of the properties of gamma oscillations generated in the hippocampus but with the additional critical dependence on multiple spiking in FRB cells.

Neocortical cell classes are flexible entities

Four main types of neocortical neurons. Early research identified four types of neocortical neurons on the basis of their firing patterns: regular-spiking; intrinsically bursting; fast-rhythmic bursting; and fast-spiking. Although this classification scheme has heuristic value, it is an oversimplification. Some researchers favour the idea of further subdividing these neuronal types to account for the variety of responses that are seen in different preparations, whereas others champion the idea that neocortical neurons are flexible entities that can convert from one firing pattern to others. Transitions of firing patterns between neuronal types. Early classification of neocortical neurons aimed to incorporate neuronal types with similar anatomical and electrophysiological properties into clear-cut classes. But neither the anatomy nor the physiology seem to be compatible with this classification. Neurons of a given class are not restricted to specific areas or layers of the cortex, and manipulations such as subtle changes in membrane potential can affect the firing properties of single neurons. Roles in normal and pathological states. The different proportions of neuronal types in the cortex of behaving animals, compared with cortical tissue in vitro or in animals under anaesthesia, might explain the preferential role of certain cell classes in some functional states of the brain, such as the different brain states of vigilance, their associated brain oscillations, synaptic plasticity, conscious states, and pathological conditions such as epilepsy. Conclusion. I conclude that the firing patterns of the four main neocortical neuronal classes are not inflexible, but can change in the same neuron from one pattern to another in response to slight changes in the membrane potential that occur naturally during shifts in brain states. Data on the cellular mechanisms that underlie these changes might assist in determining the role of different cell classes in normal and pathological states. In studies on preparations in which spontaneous activity is significantly reduced or negligible, the properties of different cortical neuronal classes seem to be inflexible. But intracellular studies in behaving animals have led to the conclusion that firing patterns can be transformed from one type into another by slight changes in the membrane potential during shifts in the state of vigilance. Also, the incidence of various neuronal types in wakeful animals is different from that reported in vitro or under anaesthesia. The variation in firing pattern and incidence of cellular classes might shed light on the role of the different neuronal types across the waking–sleep cycle and related oscillations, during synaptic plasticity and consciousness, and during the development of paroxysmal states.

Response to Contrast of Electrophysiologically Defined Cell Classes in Primary Visual Cortex

Information processing in the visual cortex is critically dependent on the input-output relationships of its component neurons. The transformation of synaptic inputs into spike trains depends in turn on the host of intrinsic membrane properties expressed by neurons, which define established electrophysiological cell classes in the neocortex. Here we studied, with intracellular recordings in vivo, how the electrophysiological cell classes in the primary visual cortex transform an increasing input, represented by stimulus contrast, into membrane depolarization and trains of action potentials. We used contrast as input because, regardless of their stimulus selectivity, primary visual cortical cells increase their firing rates in response to increases in luminance contrast. We found that both the spike rate response and the membrane potential response are best described by the hyperbolic ratio function when compared with linear, power, and logarithmic functions. In addition, both responses show similar parameter values and similar residual variance from the fits to all four functions. We also found that changes in membrane potential are similar, but firing rates differ strongly, between the established electrophysiological cell classes: fast spiking neurons show the highest firing rates, followed by fast rhythmic bursting, and regular spiking (RS) cells. In addition, among complex cells, RS cells from supragranular layers fired at higher rates than RS cells from infragranular layers. Finally, we show that the differences in firing rates between cell classes arise from differences in the slope of the relationship between membrane potential and spike rate.

Fast rhythmic bursting can be induced in layer 2/3 cortical neurons by enhancing persistent Na+ conductance or by blocking BK channels.

Fast rhythmic bursting (or "chattering") is a firing pattern exhibited by selected neocortical neurons in cats in vivo and in slices of adult ferret and cat brain. Fast rhythmic bursting (FRB) has been recorded in certain superficial and deep principal neurons and in aspiny presumed local circuit neurons; it can be evoked by depolarizing currents or by sensory stimulation and has been proposed to depend on a persistent g(Na) that causes spike depolarizing afterpotentials. We constructed a multicompartment 11-conductance model of a layer 2/3 pyramidal neuron, containing apical dendritic calcium-mediated electrogenesis; the model can switch between rhythmic spiking (RS) and FRB modes of firing, with various parameter changes. FRB in this model is favored by enhancing persistent g(Na) and also by measures that reduce [Ca(2+)](i) or that reduce the conductance of g(K(C)) (a fast voltage- and Ca(2+)-dependent conductance). Axonal excitability plays a critical role in generating fast bursts in the model. In vitro experiments in rat layer 2/3 neurons confirmed (as shown previously by others) that RS firing could be switched to fast rhythmic bursting, either by buffering [Ca(2+)](i) or by enhancing persistent g(Na). In addition, our experiments confirmed the model prediction that reducing g(KC) (with iberiotoxin) would favor FRB. During the bursts, fast prepotentials (spikelets) could occur that did not originate in apical dendrites and that appear to derive from the axon. We suggest that modulator-induced regulation of [Ca(2+)] dynamics or of BK channel conductance, for example via protein kinase A, could play a role in determining the firing pattern of neocortical neurons; specifically, such modulation could play a role in regulating whether neurons respond to strong stimulation with fast rhythmic bursts.

Fast and slow locomotor burst generation in the hemispinal cord of the lamprey.

A fundamental question in vertebrate locomotion is whether distinct spinal networks exist that are capable of generating rhythmic output for each group of muscle synergists. In many vertebrates including the lamprey, it has been claimed that burst activity depends on reciprocal inhibition between antagonists. This question was addressed in the isolated lamprey spinal cord in which the left and right sides of each myotome display rhythmic alternating activity. We sectioned the spinal cord along the midline and tested whether rhythmic motor activity could be induced in the hemicord with bath-applied D-glutamate or N-methyl-D-aspartate (NMDA) as in the intact spinal cord or by brief trains of electrical stimuli. Fast rhythmic bursting (2-12 Hz), coordinated across ventral roots, was observed with all three methods. Furthermore, to diminish gradually the crossed glycinergic inhibition, a progressive surgical lesioning of axons crossing the midline was implemented. This resulted in a gradual increase in burst frequency, linking firmly the fast hemicord rhythm [6.6 +/- 1.7 (SD) Hz] to fictive swimming in the intact cord (2.4 +/- 0.7 Hz). Ipsilateral glycinergic inhibition was not required for the hemicord burst pattern generation, suggesting that an interaction between excitatory glutamatergic neurons suffices to produce the unilateral burst pattern. In NMDA, burst activity at a much lower rate (0.1-0.4 Hz) was also encountered, which required the voltage-dependent properties of NMDA receptors in contrast to the fast rhythm. Swimming is thus produced by pairs of unilateral burst generating networks with reciprocal inhibitory connections that not only ensure left/right alternation but also downregulate frequency.

The role of Ca 2+-dependent cationic current in generating gamma frequency rhythmic bursts: modeling study

Fast rhythmic bursting pyramidal neuron or chattering neuron is a promising candidate for the pacemaker of coherent gamma-band (25–70 Hz) cortical oscillation. It, however, still remains to be clarified how the neuron generates such high-frequency bursts. Here, we demonstrate in a single-compartment model neuron that the fast rhythmic bursts (FRBs) can be achieved through Ca 2+-activated channels in the entire gamma frequency range. In a previous in vitro study, a subset of rat cortical pyramidal cells displayed a long-lasting depolarizing afterpotential (DAP) following a plateau-type action potential when K + conductances were suppressed with Cs +, and this DAP was found to be mediated by a Ca 2+-dependent cationic current. This current appeared also suitable for producing a hump-like DAP, a characteristic of the chattering neurons, because of its reversal potential being approximately −40 mV. In the present theoretical study, we show that the enhancement of such a DAP leads to generation of doublet/triplet spikes seen during FRBs. The firing pattern during FRBs is primarily determined by a Ca 2+-dependent cationic current and a small-conductance Ca 2+-dependent potassium current, which are differentially activated by a biphasically decaying Ca 2+ transient produced by fast buffering and a slow pump extrusion after each spike. With varying intensities of injected current pulses, the interburst frequencies of the FRBs range over the entire gamma frequency band (25–70 Hz) in our model, while the intraburst frequencies remain higher than 300 Hz. Our model suggests that FRBs are essentially generated in the soma, unlike the model based on a persistent sodium current, and that the alteration of Ca 2+ sensitivity of Ca 2+-dependent cationic current plays an essential role in controlling the FRB pattern.

Oscillation in the monkey cortex

Each neuron must know that they are processing the same information. Synchronously oscillating activity found in the primary visual cortex of cats can contribute to these processes. Similar oscillatory activities have also been reported in the sensory or motor cortices of monkeys. However, it is not clear if the synchronous oscillation is a common feature across the cortex of monkeys. Thus, we searched for the oscillatory activities in the frontal cortex of the behaving monkeys. We found a type of bursting cells that often showed rhythmic burst related to the task events. Based on the findings of intracellular recordings in the slice or anesthetized preparations, we classified these neurons as the fast rhythmic bursting (FRB) cells. FRB cells showed relatively short and stable interspike intervals (<5 ms) and small number of spikes within a burst (2–5 spikes). FRB cells often showed repetitive or a rhythmic burst at 25–80 Hz. The firing pattern of the FRB cells had a resemblance to that of the chattering cell reported in the cat's visual cortex and, could contribute to the synchronous activation of cortical neurons during the control of behavior.

A bursting mechanism of chattering neurons based on Ca 2+-dependent cationic currents

We propose an ionic conductance model that simulates fast rhythmic bursts in a single compartment neuron. In this modeling, the essential point is that Ca 2+-dependent cationic current, whose reversal potential is approximately −45 mV , plays a key role for generating the depolarizing afterpotential (DAP) and the doublet/triplet firing. For the calcium dynamics, the kinetics of the extrusion and the chelation of intracellular free Ca 2+ with Ca 2+-pump and buffering proteins is taken into account. The resulting model quite accurately predicts the experimentally observed natural pattern of the chattering behavior.

Fast burst firing and short-term synaptic plasticity: A model of neocortical chattering neurons

We present an ionic conductance model of chattering neurons in the neocortex, which fire fast rhythmic bursts in the gamma frequency range (∼40 Hz) in response to stimulation [Gray C. M. and McCormick D. A. (1996) Science 274, 109–113]. The bursting mechanism involves a “ping-pong” interplay between soma-to-dendrite back propagation of action potentials and an afterdepolarization generated by a persistent dendritic Na + current and a somatic Na + window current. The oscillation period is primarily determined by a slowly inactivating K + channel and passive membrane properties. The model behavior is compared quantitatively with the experimental data. It is shown that the cholinergic muscarinic receptor activation can transform the model cell's firing pattern from tonic spiking to rapid bursting, as a possible pathway for acetylcholine to promote 40-Hz oscillations in the visual cortex. To explore possible functions of fast burst firing in the neocortex, a hypothetical neural pair is simulated, where a chattering cell is presynaptic to an inhibitory interneuron via stochastic synapses. For this purpose, we use a synapse model endowed with a low release probability, short-term facilitation and vesicle depletion. This synapse model reproduces the behavior of certain neocortical pyramid-to-interneuron synapses [Thomson A. M. et al. (1993) Neuroscience 54, 347–360]. We showed that the burstiness of cell firing is required for the rhythmicity to be reliably transmitted to the postsynaptic cell via unreliable synapses, and that fast burst firing of chattering neurons can provide an exceptionally powerful drive for recruiting feedback inhibition in cortical circuits. From these results, we propose that the fast rhythmic burst firing of neocortical chattering neurons is generated by a calcium-independent ionic mechanism. Our simulation results on the neural pair highlight the importance of characterizing the short-term plasticity of the synaptic connections made by chattering cells, in order to understand their putative pacemaker role in synchronized gamma oscillations of the visual cortex.

Spike-wave complexes and fast components of cortically generated seizures. II. Extra- and intracellular patterns.

In the previous paper we have demonstrated, by means of field potential and extracellular unit recordings, that bicuculline-induced seizures, which include spike-wave (SW) or polyspike-wave (PSW) complexes, are initiated intracortically and survive ipsilateral thalamectomy. Here, we used multisite field potential and extracellular recordings to validate the patterns of cortical SW/PSW seizures in chronically implanted, behaving cats. To investigate the cellular patterns and excitability during spontaneously occurring and electrically elicited cortical seizures, we used single and dual intracellular recordings from regular-spiking (RS) and fast-rhythmic-bursting (FRB) cortical neurons, in conjunction with field potential recordings from neocortex and related thalamic nuclei, in cats maintained under ketamine-xylazine anesthesia. 1) Invariably, the spontaneous or electrically induced seizures were initiated within the cortex of both behaving and anesthetized animals. Spontaneously occurring, compound seizures consisting of SW/PSW complexes at 2-4 Hz and fast runs at 10-15 Hz, developed without discontinuity from the slow (mainly 0.5-0.9 Hz), sleeplike, cortically generated oscillation. 2) During SW/PSW complexes, RS neurons discharged spike trains during the depth-negative component of the cortical "spike" component of field potentials and were hyperpolarized during the depth-positive field wave. The FRB neurons fired many more action potentials than RS cells during SW/PSW complexes. Averaged activities triggered by the spiky field potentials or by the steepest slope of depolarization in cortical neurons demonstrated similar relations between intracellular activities and field potentials during sleep and seizure epochs, the latter-being an exaggeration of the depolarizing and hyperpolarizing components of the slow sleep oscillation. 3) During the fast runs, RS cells were tonically depolarized and discharged single action potentials or spike doublets (usually with pronounced spike inactivation), whereas FRB cells discharged rhythmic spike bursts, time locked with the depth-negative field potentials. 4) Neuronal excitability, tested by depolarizing current pulses applied throughout the seizures and compared with pre- and postseizure epochs, showed a decreased number of evoked action potentials during both seizure components (SW/PSW complexes and fast runs), eventually leading to null responses during the postictal depression. 5) Data suggest that interconnected FRB neurons may play an important role in the initiation of cortical seizures. We discuss the similarities between the electrographic patterns described in this study and those found in different forms of clinical seizures.

Dynamic properties of corticothalamic neurons and local cortical interneurons generating fast rhythmic (30-40 Hz) spike bursts.

Fast spontaneous oscillations (mainly 30-40 Hz) characterize cortical and thalamic neuronal networks during behavioral states of increased vigilance and depend on cell depolarization under the influence of ascending activating systems. We investigated, by means of intracellular recording and staining in vivo, the properties of fast-oscillating cortical neurons from cat's motor and association areas, some projecting to the thalamus, others with locally arborizing axons. At a given level of depolarization, 28% of our neuronal sample discharged high-frequency spike bursts (300-600 Hz) that recurred rhythmically between 20 and 50 Hz. Such fast rhythmic bursting neurons have been found in both superficial and deep cortical layers. Slight changes in membrane potential as well as synaptic activity in thalamocortical networks dramatically altered the discharge patterns, from single spikes to rhythmic spike-bursts, and eventually to fast tonic firing without frequency adaptation. Thus our data challenge the conventional idea that sharply defined, invariant features and distinct locations in certain cortical layers characterize some neocortical cell-classes. We demonstrate that the distinctions between intrinsic electrophysiological properties of neocortical neurons are much more labile than conventionally thought. The present results, which indicate that corticothalamic neurons discharge fast rhythmic spike bursts mainly at 30-40 Hz, suggest that this activity results in integrated fast oscillations within corticothalamic networks.