Limited synapse overproduction can speed development but sometimes with long-term energy and discrimination penalties.

Neural circuit development requires that synapses be formed between appropriate neurons. In addition, for a hierarchical network, successful development involves a sequencing of developmental events. It has been suggested that one mechanism that helps speed up development of proper connections is an early overproduction of synapses. Using a computational model of synapse development, such as adaptive synaptogenesis, it is possible to study such overproduction and its role in speeding up development; it is also possible to study other outcomes of synapse overproduction that are seemingly new to the literature. With a fixed number of neurons, adaptive synaptogenesis can control the speed of synaptic development in two ways: by altering the rate constants of the adaptive processes or by altering the initial number of rapidly but non-selectively accrued synapses. Using either mechanism, the simulations reveal that synapse overproduction appears as an unavoidable concomitant of rapid adaptive synaptogenesis. However, the shortest development times, which always produces the greatest amount of synapse overproduction, reduce adult performance by three measures: energy use, discrimination error rates, and proportional neuron allocation. Thus, the results here lead to the hypothesis that the observed speed of neural network development represents a particular inter-generational compromise: quick development benefits parental fecundity while slow development benefits offspring fecundity.

Relationship between increase in astrocytic GLT-1 glutamate transport and late-LTP.

Na⁺-dependent high-affinity glutamate transporters have important roles in the maintenance of basal levels of glutamate and clearance of glutamate during synaptic transmission. Interestingly, several studies have shown that basal glutamate transport displays plasticity. Glutamate uptake increases in hippocampal slices during early long-term potentiation (E-LTP) and late long-term potentiation (L-LTP). Four issues were addressed in this research: Which glutamate transporter is responsible for the increase in glutamate uptake during L-LTP? In what cell type in the hippocampus does the increase in glutamate uptake occur? Does a single type of cell contain all the mechanisms to respond to an induction stimulus with a change in glutamate uptake? What role does the increase in glutamate uptake play during L-LTP? We have confirmed that GLT-1 is responsible for the increase in glutamate uptake during L-LTP. Also, we found that astrocytes were responsible for much, if not all, of the increase in glutamate uptake in hippocampal slices during L-LTP. Additionally, we found that cultured astrocytes alone were able to respond to an induction stimulus with an increase in glutamate uptake. Inhibition of basal glutamate uptake did not affect the induction of L-LTP, but inhibition of the increase in glutamate uptake did inhibit both the expression of L-LTP and induction of additional LTP. It seems likely that heightened glutamate transport plays an ongoing role in the ability of hippocampal circuitry to code and store information.

Live neuron morphology automatically reconstructed from multiphoton and confocal imaging data.

We have developed a fully automated procedure for extracting dendritic morphology from multiple three-dimensional image stacks produced by laser scanning microscopy. By eliminating human intervention, we ensure that the results are objective, quickly generated, and accurate. The software suite accounts for typical experimental conditions by reducing background noise, removing pipette artifacts, and aligning multiple overlapping image stacks. The output morphology is appropriate for simulation in compartmental simulation environments. In this report, we validate the utility of this procedure by comparing its performance on live neurons and test specimens with other fully and semiautomated reconstruction tools.

The neuronal transfer function: contributions from voltage- and time-dependent mechanisms.

The discovery that an array of voltage- and time-dependent channels is present in both the dendrites and soma of neurons has led to a variety of models for single-neuron computation. Most of these models, however, are based on experimental techniques that use simplified inputs of either single synaptic events or brief current injections. In this study, we used a more complex time-varying input to mimic the continuous barrage of synaptic input that neurons are likely to receive in vivo. Using dual whole-cell recordings of CA1 pyramidal neurons, we injected long-duration white-noise current into the dendrites. The amplitude variance of this stimulus was adjusted to produce either low subthreshold or high suprathreshold fluctuations of the somatic membrane potential. Somatic action potentials were produced in the high variance input condition. Applying a rigorous system-identification approach, we discovered that the neuronal input/output function was extremely well described by a model containing a linear bandpass filter followed by a nonlinear static-gain. Using computer models, we found that a range of voltage-dependent channel properties can readily account for the experimentally observed filtering in the neuronal input/output function. In addition, the bandpass signal processing of the neuronal input/output function was determined by the time-dependence of the channels. A simple active channel, however, could not account for the experimentally observed change in gain. These results suggest that nonlinear voltage- and time-dependent channels contribute to the linear filtering of the neuronal input/output function and that channel kinetics shape temporal signal processing in dendrites.

Dendrite-to-soma input/output function of continuous time-varying signals in hippocampal CA1 pyramidal neurons.

We examined how hippocamal CA1 neurons process complex time-varying inputs that dendrites are likely to receive in vivo. We propose a functional model of the dendrite-to-soma input/output relationship that combines temporal integration and static-gain control mechanisms. Using simultaneous dual whole cell recordings, we injected 50 s of subthreshold and suprathreshold zero-mean white-noise current into the primary dendritic trunk along the proximal 2/3 of stratum radiatum and measured the membrane potential at the soma. Applying a nonlinear system-identification analysis, we found that a cascade of a linear filter followed by an adapting static-gain term fully accounted for the nonspiking input/output relationship between the dendrite and soma. The estimated filters contained a prominent band-pass region in the 1- to 10-Hz frequency range that remained constant as a function of stimulus variance. The gain of the dendrite-to-soma input/output relationship, in contrast, varied as a function of stimulus variance. When the contribution of the voltage-dependent current I(h) was eliminated, the estimated filters lost their band-pass properties and the gain regulation was substantially altered. Our findings suggest that the dendrite-to-soma input/output relationship for proximal apical inputs to CA1 pyramidal neurons is well described as a band-pass filter in the theta frequency range followed by a gain-control nonlinearity that dynamically adapts to the statistics of the input signal.

Different mechanisms exist for the plasticity of glutamate reuptake during early long-term potentiation (LTP) and late LTP.

Regulation of glutamate reuptake occurs along with several forms of synaptic plasticity. These associations led to the hypothesis that regulation of glutamate uptake is a general component of plasticity at glutamatergic synapses. We tested this hypothesis by determining whether glutamate uptake is regulated during both the early phases (E-LTP) and late phases (L-LTP) of long-term potentiation (LTP). We found that glutamate uptake was rapidly increased within minutes after induction of LTP and that the increase in glutamate uptake persisted for at least 3 h in CA1 of the hippocampus. NMDA receptor activation and Na+-dependent high-affinity glutamate transporters were responsible for the regulation of glutamate uptake during all phases of LTP. However, different mechanisms appear to be responsible for the increase in glutamate uptake during E-LTP and L-LTP. The increase in glutamate uptake observed during E-LTP did not require new protein synthesis, was mediated by PKC but not cAMP, and as previously shown was attributable to EAAC1 (excitatory amino acid carrier-1), a neuronal glutamate transporter. On the other hand, the increase in glutamate uptake during L-LTP required new protein synthesis and was mediated by the cAMP-PKA (protein kinase A) pathway, and it involved a different glutamate transporter, GLT1a (glutamate transporter subtype 1a). The switch in mechanisms regulating glutamate uptake between E-LTP and L-LTP paralleled the differences in the mechanisms responsible for the induction of E-LTP and L-LTP. Moreover, the differences in signaling pathways and transporters involved in regulating glutamate uptake during E-LTP and L-LTP indicate that different functions and/or sites may exist for the changes in glutamate uptake during E-LTP and L-LTP.

Preparation of cortical brain slices for electrophysiological recording.

Acute brain slices allow electrophysiological and imaging techniques to be applied in vitro to the study of neuronal ion channels, synaptic plasticity, and whole-cell function in juvenile and adult tissue. Ion channel recordings from small dendritic branches and axons in brain slices have demonstrated considerable functional differences in ion channel function within subregions of single cells. These findings have greatly increased our understanding of neuronal computation. This chapter presents methods for obtaining high-quality brain slices developed to aid visualization of small neuronal structures using differential interference contrast microscopy.

Combining optical imaging and computational modeling to analyze structure and function of living neurons.

We are investigating the computational properties of principal neurons in the mammalian brain. To manage the small size and intricate structure of neuronal dendrites, we employ advanced optical imaging techniques in combination with automatic image reconstruction and computational modeling to study their complex spatio-temporal pattern of activity.

A-current expression is regulated by activity but not by target tissues in developing lumbar motoneurons of the chick embryo.

The functional expression of A-type K+ channels (IA) was examined in chick lumbar motoneurons (LMNs) at embryonic days 6 and 11 (E6 and E11). We observed a threefold increase in IA density between E6 and E11 in spinal cord slices and acutely dissociated LMNs. There was no change in current density, kinetics, or voltage dependence of IA in E11 homozygous limbless mutants or in E11 embryos in which hindlimbs were surgically removed at E6. Moreover, chronic in ovo administration of D-tubocurarine, which causes an increase in motoneuron branching on the surface of target muscles, had no effect on IA. Electrical activity played an important role in IA regulation in LMNs in vitro and in ovo. Blocking spontaneous electrical activity of LMNs by chronic in ovo application of mecamylamine or muscimol reduced IA by 80%. LMNs cultured in the presence of TTX also failed to express normal densities of IA, even when the cultures also contained target tissues. The portion of IA that remained after in ovo or in vitro blockade of activity inactivated more quickly than the IA of LMNs that were allowed to discharge spikes. The developmental expression of LMN IA increases significantly during development, and this increase is activity dependent but does not require interactions with target tissues. Ongoing activity also seems to regulate the kinetics of IA inactivation.

Kinase-dependent loss of Na+ channel slow-inactivation in rat CA1 hippocampal pyramidal cell dendrites after brief exposure to convulsants.

Na+ channels in the dendrites of rat CA1 pyramidal neurons display a profound activity-dependent inactivation, termed slow inactivation, that limits excitability in the dendrites even at low physiological rates of firing. The magnitude of this slow inactivation is powerfully modulated by a protein kinase C-dependent process. Because activation of kinases is a rapid and common feature of a number of seizure models, we hypothesized that a loss of slow inactivation of Na+ channels might exacerbate other changes in excitability. Thus, we observed the effects of a brief (5 min) chemical convulsant treatment on Na+ currents and action potentials in hippocampal slices. We found that slow inactivation decreased significantly and remained decreased for at least 30 min after return to control conditions. Pretreatment with either chelerythrine, a protein kinase C inhibitor, or U0126, a mitogen-activated protein kinase/extracellular signal regulated kinase kinase (MEK) inhibitor, blocked this reduction of slow inactivation. These results demonstrate that a brief period of hyperexcitability leads to a rapid, protein kinase-dependent loss of slow inactivation of Na+ channels that would contribute to and perhaps prolong the hyperexcitable state.

Ion channel properties underlying axonal action potential initiation in pyramidal neurons.

A high density of Na+ channels in the axon hillock, or initial segment, is believed to determine the threshold for action potential initiation in neurons. Here we report evidence for an alternative mechanism that lowers the threshold in the axon. We investigated properties and distributions of ion channels in outside-out patches from axons and somata of layer 5 pyramidal neurons in rat neocortical slices. Na+ channels in axonal patches (<30 microm from the soma) were activated by 7 mV less depolarization than were somatic Na+ channels. A-type K+ channels, which were prominent in somatic and dendritic patches, were rarely seen in axonal patches. We incorporated these findings into numerical simulations which indicate that biophysical properties of axonal channels, rather than a high density of channels in the initial segment, are most likely to determine the lowest threshold for action potential initiation.