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R D Traub

Publications and source records attributed to R D Traub.

At least 19 recordsLinked to original sources

GABA-enhanced collective behavior in neuronal axons underlies persistent gamma-frequency oscillations.

Gamma (30-80 Hz) oscillations occur in mammalian electroencephalogram in a manner that indicates cognitive relevance. In vitro models of gamma oscillations demonstrate two forms of oscillation: one occurring transiently and driven by discrete afferent input and the second occurring persistently in response to activation of excitatory metabotropic receptors. The mechanism underlying persistent gamma oscillations has been suggested to involve gap-junctional communication between axons of principal neurons, but the precise relationship between this neuronal activity and the gamma oscillation has remained elusive. Here we demonstrate that gamma oscillations coexist with high-frequency oscillations (>90 Hz). High-frequency oscillations can be generated in the axonal plexus even when it is physically isolated from pyramidal cell bodies. They were enhanced in networks by nonsomatic gamma-aminobutyric acid type A (GABA(A)) receptor activation, were modulated by perisomatic GABAA receptor-mediated synaptic input to principal cells, and provided the phasic input to interneurons required to generate persistent gamma-frequency oscillations. The data suggest that high-frequency oscillations occurred as a consequence of random activity within the axonal plexus. Interneurons provide a mechanism by which this random activity is both amplified and organized into a coherent network rhythm.

Animals↗

A model of atropine-resistant theta oscillations in rat hippocampal area CA1.

Theta frequency oscillations are a predominant feature of rhythmic activity in the hippocampus. We demonstrate that hippocampal area CA1 generates atropine-resistant theta population oscillations in response to metabotropic glutamate receptor activation under conditions of reduced AMPA receptor activation. This activity occurred in the absence of inputs from area CA3 and extra-ammonic areas. Field theta oscillations were co-expressed with pyramidal distal apical dendritic burst spiking and were temporally related to trains of IPSPs with slow kinetics. Pyramidal somatic responses showed theta oscillations consisted of compound inhibitory synaptic potentials with initial IPSPs with slow kinetics followed by trains of smaller, faster IPSPs. Pharmacological modulation of IPSPs altered the theta oscillation suggesting an inhibitory network origin. Somatic IPSPs, dendritic burst firing and stratum pyramidale interneuron activity were all temporally correlated with spiking in stratum oriens interneurons demonstrating intrinsic theta-frequency oscillations. Disruption of spiking in these interneurons was accompanied by a loss of both field theta and theta frequency IPSP trains. We suggest that population theta oscillations can be generated as a consequence of intrinsic theta frequency spiking activity in a subset of stratum oriens interneurons controlling electrogenesis in pyramidal cell apical dendrites.

Action Potentials↗

Gap junctions between interneuron dendrites can enhance synchrony of gamma oscillations in distributed networks.

Gamma-frequency (30-70 Hz) oscillations in populations of interneurons may be of functional relevance in the brain by virtue of their ability to induce synchronous firing in principal neurons. Such a role would require that neurons, 1 mm or more apart, be able to synchronize their activity, despite the presence of axonal conduction delays and of the limited axonal spread of many interneurons. We showed previously that interneuron doublet firing can help to synchronize gamma oscillations, provided that sufficiently many pyramidal neurons are active; we also suggested that gap junctions, between the axons of principal neurons, could contribute to the long-range synchrony of gamma oscillations induced in the hippocampus by carbachol in vitro. Here we consider interneuron network gamma: that is, gamma oscillations in pharmacologically isolated networks of tonically excited interneurons, with frequency gated by mutual GABA(A) receptor-mediated IPSPs. We provide simulation and electrophysiological evidence that interneuronal gap junctions (presumably dendritic) can enhance the synchrony of such gamma oscillations, in spatially extended interneuron networks. There appears to be a sharp threshold conductance, below which the interneuron dendritic gap junctions do not exert a synchronizing role.

Animals↗

Self-organized synaptic plasticity contributes to the shaping of gamma and beta oscillations in vitro.

gamma (30-70 Hz) followed by beta (10-30 Hz) oscillations are evoked in humans by sensory stimuli and may be involved in working memory. Phenomenologically similar gamma-->beta oscillations can be evoked in hippocampal slices by strong two-site tetanic stimulation. Weaker stimulation leads only to two-site synchronized gamma. In vitro oscillations have memory-like features: (1) EPSPs increase during gamma-->beta; (2) after a strong one-site stimulus, two-site stimulation produces desynchronized gamma; and (3) a single synchronized gamma-->beta epoch allows a subsequent weak stimulus to induce synchronized gamma-->beta. Features 2 and 3 last >50 min and so are unlikely to be caused by presynaptic effects. A previous model replicated the gamma-->beta transition when it was assumed that K(+) conductance(s) increases and there is an ad hoc increase in pyramidal EPSCs. Here, we have refined the model, so that both pyramidal-->pyramidal and pyramidal-->interneuron synapses are modifiable. This model, in a self-organized way, replicates the gamma-->beta transition, along with features 1 and 2 above. Feature 3 is replicated if learning rates, or the time course of K(+) current block, are graded with stimulus intensity. Synaptic plasticity allows simulated oscillations to synchronize between sites separated by axon conduction delays over 10 msec. Our data suggest that one function of gamma oscillations is to permit synaptic plasticity, which is then expressed in the form of beta oscillations. We propose that the period of gamma oscillations, approximately 25 msec, is "designed" to match the time course of [Ca(2+)](i) fluctuations in dendrites, thus facilitating learning.

Analgesics, Opioid↗

Axo-axonal coupling. a novel mechanism for ultrafast neuronal communication.

We provide physiological, pharmacological, and structural evidence that axons of hippocampal principal cells are electrically coupled, with prepotentials or spikelets forming the physiological substrate of electrical coupling as observed in cell somata. Antidromic activation of neighboring axons induced somatic spikelet potentials in neurons of CA3, CA1, and dentate gyrus areas of rat hippocampal slices. Somatic invasion by these spikelets was dependent on the activation of fast Na(+) channels in the postjunctional neuron. Antidromically elicited spikelets were suppressed by gap junction blockers and low intracellular pH. Paired axo-somatic and somato-dendritic recordings revealed that the coupling potentials appeared in the axon before invading the soma and the dendrite. Using confocal laser scanning microscopy we found that putative axons of principal cells were dye coupled. Our data thus suggest that hippocampal neurons are coupled by axo-axonal junctions, providing a novel mechanism for very fast electrical communication.

Action Potentials↗

Genetically altered AMPA-type glutamate receptor kinetics in interneurons disrupt long-range synchrony of gamma oscillation.

Gamma oscillations synchronized between distant neuronal populations may be critical for binding together brain regions devoted to common processing tasks. Network modeling predicts that such synchrony depends in part on the fast time course of excitatory postsynaptic potentials (EPSPs) in interneurons, and that even moderate slowing of this time course will disrupt synchrony. We generated mice with slowed interneuron EPSPs by gene targeting, in which the gene encoding the 67-kDa form of glutamic acid decarboxylase (GAD67) was altered to drive expression of the alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) glutamate receptor subunit GluR-B. GluR-B is a determinant of the relatively slow EPSPs in excitatory neurons and is normally expressed at low levels in gamma-aminobutyric acid (GABA)ergic interneurons, but at high levels in the GAD-GluR-B mice. In both wild-type and GAD-GluR-B mice, tetanic stimuli evoked gamma oscillations that were indistinguishable in local field potential recordings. Remarkably, however, oscillation synchrony between spatially separated sites was severely disrupted in the mutant, in association with changes in interneuron firing patterns. The congruence between mouse and model suggests that the rapid time course of AMPA receptor-mediated EPSPs in interneurons might serve to allow gamma oscillations to synchronize over distance.

Animals↗

Differential expression of synaptic and nonsynaptic mechanisms underlying stimulus-induced gamma oscillations in vitro.

Gamma frequency oscillations occur in hippocampus in vitro after brief tetani delivered to afferent pathways. Previous reports have characterized these oscillations as either (1) trains of GABA(A) inhibitory synaptic events mediated by depolarization of both pyramidal cells and interneurons at least in part mediated by metabotropic glutamate and acetylcholine receptors, or (2) field potential oscillations occurring in the near absence of an inhibitory synaptic oscillation when cells are driven by depolarizing GABA responses and local synchrony is produced by field effects. The aim of this study was to investigate factors involved in the differential expression of these synaptically and nonsynaptically gated oscillations. Field effects were undetectable in control recordings but manifested when slices were perfused with hypo-osmotic solutions or a reduced level of normal perfusate. These manipulations also reduced the amplitude of the train of inhibitory synaptic events associated with an oscillation and enhanced the depolarizing GABA component underlying the post-tetanic depolarization. The resulting field oscillation was still dependent, at least in part, on inhibitory synaptic transmission, but spatiotemporal aspects of the oscillation were severely disrupted. These changes were also accompanied by an increase in estimated [K(+)](o) compared with control. We suggest that nonsynaptic oscillations occur under conditions also associated with epileptiform activity and constitute a phenomenon that is distinct from synaptically gated oscillations. The latter remain a viable model for in vivo oscillations of cognitive relevance.

Action Potentials↗

A possible role for gap junctions in generation of very fast EEG oscillations preceding the onset of, and perhaps initiating, seizures.

PURPOSE: We propose an experimentally and clinically testable hypothesis, concerning the origin of very fast (> approximately 70 Hz) EEG oscillations that sometimes precede the onset of focal seizures. These oscillations are important, as they may play a causal role in the initiation of seizures. METHODS: Subdural EEG recordings were obtained from children with focal cortical dysplasias and intractable seizures. Intra- and extracellular recordings were performed in rat hippocampal slices, with induction of population activity, as follows: (a) bath-applied tetramethylamine (an intracellular alkalinizing agent, that opens gap junctions); (b) bath-applied carbachol, a cholinergic agonist; and (c) focal pressure ejection of hypertonic K+ solution. Detailed network simulations were performed, the better to understand the cellular mechanisms underlying oscillations. A major feature of the simulations was inclusion of axon-axon gap junctions between principal neurons, as supported by recent experimental data. RESULTS: Very fast oscillations were found in children before seizure onset, but also superimposed on bursts during the seizure, and on interictal bursts. In slice experiments, very fast oscillations had previously been seen on interictal-like bursts; we now show such oscillations before, between, and after epileptiform bursts. Very fast oscillations were also seen superimposed on gamma (30-70 Hz) oscillations induced by carbachol or hypertonic K+, and in the latter case, very fast oscillations became continuous when chemical synapses were blocked. Simulations replicate these data, when axonal gap junctions are included. CONCLUSIONS: Electrical coupling between principal neurons, perhaps via axonal gap junctions, could underlie very fast population oscillations, in seizure-prone brain, but possibly also in normal brain. The anticonvulsant potential of gap-junction blockers such as carbenoxolone, now in clinical use for treatment of ulcer disease, should be considered.

Animals↗

Scheduling a delay between different surgeons' cases in the same operating room on the same day using upper prediction bounds for case durations.

UNLABELLED: At some surgical suites, elective cases are only scheduled if they can be completed during regularly scheduled hours. At such a surgical suite, a surgeon may be scheduled to perform one or more cases in an operating room (OR), to be followed by another surgeon who will perform one or more cases. Scheduling a delay between the two surgeons' cases will improve the likelihood that the second surgeon's case(s) will start on time. We show that the mathematics of calculating a scheduled delay between the different surgeons' cases in the same OR on the same day is that of calculating an upper prediction bound for the duration of the second surgeon's case(s). We test an analytical expression for the upper prediction bound for the last one case of the day in an OR, and a Monte Carlo simulation method for the last two cases. We show that these 90% upper prediction bounds are at least as long as the actual durations for 90% +/- 0.2% of single cases and 92% +/- 0.6% of pairs of cases. We conclude that our methodology can be used to calculate an appropriate, and reasonably accurate, scheduled delay between two surgeons' cases in the same OR on the same day. IMPLICATIONS: We show how to use a statistical analysis of historical case duration data to calculate an appropriate and accurate scheduled delay between two surgeons' cases in the same operating room on the same day.

Algorithms↗

Hospital profitability per hour of operating room time can vary among surgeons.

The operating margins (i.e., profits) of hospitals are decreasing. An important aspect of a hospital's finances is the profitability of individual surgical cases, which is measured by contribution margin. We sought to determine the extent to which contribution margin per hour of operating room (OR) time can vary among surgeons. We retrospectively analyzed 2848 elective cases performed by 94 surgeons at the Stanford University School of Medicine. For each case, we subtracted variable costs from the total payment to the hospital to compute contribution margin. We found moderate variability in contribution margin per hour of OR time among surgeons, relative to the variability in contribution margins per OR hour among each surgeon's cases (Cohen's f equaled 0.29, 95% lower confidence interval bound 0.27). Contribution margin per OR hour was negative for 26% of the cases. These results have implications for hospitals for which OR utilization is extensive, and for which elective cases are only scheduled if they can be completed during regularly scheduled hours. To increase or achieve profitability, managers need to increase the hours of lucrative cases, rather than encourage surgeons to do more and more cases. Whether the variability in contribution margin among surgeons should be used to more optimally (profitably) allocate OR time depends on the scheduling objectives of the surgical suite.

Aged↗

Synaptic and nonsynaptic contributions to giant ipsps and ectopic spikes induced by 4-aminopyridine in the hippocampus in vitro.

Hippocampal slices bathed in 4-aminopyridine (4-AP, < or =200 microM) exhibit 1) spontaneous large inhibitory postsynaptic potentials (IPSPs) in pyramidal cells, which occur without the necessity of fast glutamatergic receptors, and which hence are presumed to arise from coordinated firing in populations of interneurons; 2) spikes of variable amplitude, presumed to be of antidromic origin, in some pyramidal cells during the large IPSP; 3) bursts of action potentials in selected populations of interneurons, occurring independently of fast glutamatergic and of GABA(A) receptors. We have used neuron pairs, and a large network model (3,072 pyramidal cells, 384 interneurons), to examine how these phenomena might be inter-related. Network bursts in electrically coupled interneurons have previously been shown to be possible with dendritic gap junctions, when the dendrites were capable of spike initiation, and when action potentials could cross from cell to cell via gap junctions; recent experimental data showing that dendritic gap junctions between cortical interneurons lead to coupling potentials of only about 0.5 mV argue against this mechanism, however. We now show that axonal gap junctions between interneurons could also lead to network bursts; this concept is consistent with the occurrence of spikelets and partial spikes in at least some interneurons in 4-AP. In our model, spontaneous antidromic action potentials can induce spikelets and action potentials in principal cells during the large IPSP. The probability of observing this type of activity increases significantly when axonal gap junctions also exist between pyramidal cells. Sufficient antidromic activity in the model can lead to epileptiform bursts, independent of alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) and N-methyl-D-aspartate (NMDA) receptors, in some principal cells, preceded by IPSPs and spikelets. The model predicts that gap junction blockers should suppress large IPSPs observed in 4-AP and should also reduce the probability of observing antidromic activity, or bursting, in pyramidal cells. Experiments show that, indeed, the gap junction blocking compound carbenoxolone does suppress spontaneous large IPSCs, occurring in 4-AP plus ionotropic glutamate blockers, together with a GABA(B) receptor blocker; carbenoxolone also suppresses large, fast inward currents, corresponding to ectopic spikes, which occur in 4-AP. Carbenoxolone does not suppress large depolarizing IPSPs induced by tetanic stimulation. We conclude that in 4-AP, axonal gap junctions could, at least in principle, account in part for both the large IPSPs, and for the antidromic activity in pyramidal neurons.

4-Aminopyridine↗

Inhibition-based rhythms: experimental and mathematical observations on network dynamics.

An increasingly large body of data exists which demonstrates that oscillations of frequency 12-80 Hz are a consequence of, or are inextricably linked to, the behaviour of inhibitory interneurons in the central nervous system. This frequency range covers the EEG bands beta 1 (12-20 Hz), beta 2 (20-30 Hz) and gamma (30-80 Hz). The pharmacological profile of both spontaneous and sensory-evoked EEG potentials reveals a very strong influence on these rhythms by drugs which have direct effects on GABA(A) receptor-mediated synaptic transmission (general anaesthetics, sedative/hypnotics) or indirect effects on inhibitory neuronal function (opiates, ketamine). In addition, a number of experimental models of, in particular, gamma-frequency oscillations, have revealed both common denominators for oscillation generation and function, and subtle differences in network dynamics between the different frequency ranges. Powerful computer and mathematical modelling techniques based around both clinical and experimental observations have recently provided invaluable insight into the behaviour of large networks of interconnected neurons. In particular, the mechanistic profile of oscillations generated as an emergent property of such networks, and the mathematical derivation of this complex phenomenon have much to contribute to our understanding of how and why neurons oscillate. This review will provide the reader with a brief outline of the basic properties of inhibition-based oscillations in the CNS by combining research from laboratory models, large-scale neuronal network simulations, and mathematical analysis.

Electroencephalography↗

A model of high-frequency ripples in the hippocampus based on synaptic coupling plus axon-axon gap junctions between pyramidal neurons.

So-called 200 Hz ripples occur as transient EEG oscillations superimposed on physiological sharp waves in a number of limbic regions of the rat, either awake or anesthetized. In CA1, ripples have maximum amplitude in stratum pyramidale. Many pyramidal cells fail to fire during a ripple, or fire infrequently, superimposed on the sharp wave-associated depolarization, whereas interneurons can fire at high frequencies, possibly as fast as the ripple itself. Recently, we have predicted that networks of pyramidal cells, interconnected by axon-axon gap junctions and without interconnecting chemical synapses, can generate coherent population oscillations at >100 Hz. Here, we show that such networks, to which interneurons have been added along with chemical synaptic interactions between respective cell types, can generate population ripples superimposed on afferent input-induced intracellular depolarizations. During simulated ripples, interneurons fire at high rates, whereas pyramidal cells fire at lower rates. The model oscillation is generated by the electrically coupled pyramidal cell axons, which then phasically excite interneurons at ripple frequency. The oscillation occurs transiently because rippling can express itself only when axons and cells are sufficiently depolarized. Our model predicts the occurrence of spikelets (fast prepotentials) in some pyramidal cells during sharp waves.

Action Potentials↗

Gamma rhythms and beta rhythms have different synchronization properties.

Experimental and modeling efforts suggest that rhythms in the CA1 region of the hippocampus that are in the beta range (12-29 Hz) have a different dynamical structure than that of gamma (30-70 Hz). We use a simplified model to show that the different rhythms employ different dynamical mechanisms to synchronize, based on different ionic currents. The beta frequency is able to synchronize over long conduction delays (corresponding to signals traveling a significant distance in the brain) that apparently cannot be tolerated by gamma rhythms. The synchronization properties are consistent with data suggesting that gamma rhythms are used for relatively local computations whereas beta rhythms are used for higher level interactions involving more distant structures.

Animals↗

Neuronal fast oscillations as a target site for psychoactive drugs.

Neuronal oscillations within the electroencephalogram beta and gamma bands (15-80 Hz) are associated with intense mental activity and cognitive function in general. Specifically, recent advances have implicated gamma oscillations in the processing of sensory stimuli and demonstrated that synchronous gamma oscillations, appearing concurrently in spatially separate brain regions, can induce beta activity. beta activity generated in this manner represents established synchronous communication between brain regions and is thought to represent a neuronal network correlate of the "binding phenomenon" in cognitive theory. This review will outline the mechanisms of generation of these oscillations at the cellular and network level, and will highlight the effects of drugs that may modify these mechanisms. Possible modification of fast oscillations by disease processes and clinical intervention are discussed.

Animals↗

A model of gamma-frequency network oscillations induced in the rat CA3 region by carbachol in vitro.

Carbachol (> 20 microM) and kainate (100 nM) induce, in the in vitro CA3 region, synchronized neuronal population oscillations at approximately 40 Hz having distinctive features: (i) the oscillations persist for hours; (ii) interneurons in kainate fire at 5-20 Hz and their firing is tightly locked to field potential maxima (recorded in s. radiatum); (iii) in contrast, pyramidal cells, in both carbachol and kainate, fire at frequencies as low as 2 Hz, and their firing is less tightly locked to field potentials; (iv) the oscillations require GABAA receptors, AMPA receptors and gap junctions. Using a network of 3072 pyramidal cells and 384 interneurons (each multicompartmental and containing a segment of unmyelinated axon), we employed computer simulations to examine conditions under which network oscillations might occur with the experimentally determined properties. We found that such network oscillations could be generated, robustly, when gap junctions were located between pyramidal cell axons, as suggested to occur based on studies of spontaneous high-frequency (> 100 Hz) network oscillations in the in vitro hippocampus. In the model, pyramidal cell somatic firing was not essential for the oscillations. Critical components of the model are (i) the plexus of pyramidal cell axons, randomly and sparsely interconnected by gap junctions; (ii) glutamate synapses onto interneurons; (iii) synaptic inhibition between interneurons and onto pyramidal cell axons and somata; (iv) a sufficiently high rate of spontaneous action potentials generated in pyramidal cell axons. This model explains the dependence of network oscillations on GABA(A) and AMPA receptors, as well as on gap junctions. Besides the existence of axon-axon gap junctions, the model predicts that many of the pyramidal cell action potentials, during sustained gamma oscillations, are initiated in axons.

Action Potentials↗