Status epilepticus (SE) is a major clinical emergency resulting in continuous seizure activity that can cause brain injury and many molecular and pathophysiologic changes leading to neuronal plasticity. The neuronal plasticity following SE-induced brain injury can initiate epileptogenesis and lead to the ultimate expression of acquired epilepsy (AE), characterized clinically by spontaneous, recurrent seizures. Epileptogenesis is the process wherein healthy brain tissue is transformed into hyperexcitable neuronal networks that produce AE. Understanding these alterations induced by brain injury is an important clinical challenge and can lend insight into possible new therapeutic targets to halt the development of AE. Currently there are no means to prevent epileptogenesis following brain injury; thus, the elucidation of mechanisms of epileptogenesis will be useful in preventing the long-term clinical sequela. It has been demonstrated in vivo that calcium (Ca2+) dynamics are severely altered during SE and that elevations in intracellular Ca2+ ([Ca2+]i) in hippocampal neurons are maintained well past the duration of the injury itself (Ca2+ plateau). Here we report that similar changes in [Ca2+]i are observed in the hippocampal neuronal culture model of SE-induced AE. As an important second messenger, the maintenance of a Ca2+ plateau following injury can lead to several changes in gene expression, neurotransmitter release, and overall, neuronal plasticity. Thus, changes in post-SE [Ca2+]i and Ca2+ homeostasis may be important in understanding epileptogenesis and eventually preventing the progression to chronic epilepsy. This dissertation examines the development and maintenance of the Ca2+ plateau after SE and demonstrates the novel finding that pharmacological modulation of [Ca2+]i following SE may inhibit epileptogenesis in vitro.

Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (leaves 67-80).

Epilepsy is characterized by the hyperexcitability of individual neurons and hyper synchronization of groups of neurons (networks). The acquired changes that take place at molecular, cellular and network levels are important for the induction and maintenance of epileptic activity in the brain. Epileptic activity is known to alter the intrinsic properties and signaling of neurons. Understanding acquired changes that cause epilepsy may lead to innovative strategies to prevent or cure this neurological disorder. Advances in in vitro electrophysiological techniques together with experimental models of epilepsy are indispensible tools to understand molecular, cellular and network mechanisms that underlie epileptiform activity. The aim of the study was to investigate the epileptiform activity induced alterations in Ca2+ dynamics in apical dendrites of hippocampal subicular pyramidal neurons in slices and changes in network properties of cultured hippocampal neurons. We have also made attempts to develop an in vitro model of epilepsy using organotypic hippocampal slice cultures. In the first part of the present study, investigations on the basic properties of dendritic Ca2+ signaling in subicular pyramidal neurons during epileptiform activity are described. Subiculum, a part of the hippocampal formation is present, adjacent to the CA1 subfield. It acts as a transition zone between the hippocampus and entorhinal cortex. It receives inputs directly from the CA1 region, the entorhinal cortex, subcortical and other cortical areas. Several forms of evidences support the role of subiculum in temporal lobe epilepsy. Pronounced neuronal loss has been reported in various regions of the hippocampal formation (CA1 and CA3) leaving the subiculum generally intact in human epileptic tissue. It has been observed that epileptic activity is generated in subiculum in cases where the CA3 and CA1 regions are damaged or even absent. However, it is not clear how subicular neurons protect themselves from epileptic activity induced neuronal death. It is widely accepted that epileptiform activity induced neuronal damage is a result of an abnormally large influx of Ca2+ into neuronal compartments. In the present study, combined hippocampus / entorhinal cortical brain slices were exposed to zero Mg2+ + 4-amino pyridine artificial cerebrospinal fluid (ACSF) to generate spontaneous epileptiform discharges. Whole cell current-clamp recordings combined with Ca2+ imaging experiments (by incorporating Oregon green BAPTA-1 in the recording pipette) were performed on subicular pyramidal neurons to understand the changes in [Ca2+]i transients elicited in apical dendrites, in response to spontaneous epileptic discharges. To understand the changes occurring with respect to control, experiments were performed (in both control and in vitro epileptic conditions) where [Ca2+]i transients in dendrites were elicited by back propagating action potentials following somatic current injections. The results show clear distance-dependent changes in decay kinetics of [Ca2+]i transients (τdecay), without change in the amplitude of the [Ca2+]i transients, in distal parts (95–110 µm) compared to proximal segments (30–45 µm) of apical dendrites of subicular pyramidal neurons under in vitro epileptic condition, but not in control conditions. Pharmacological agents that block Ca2+ transporters viz. Na+/Ca2+ exchangers (Benzamil), plasma membrane Ca2+-ATPase pumps (Calmidazolium) and smooth endoplasmic reticulum Ca2+-ATPase pumps (Thapsigargin) were applied locally to the proximal and distal part of the apical dendrites in both experimental conditions to understand the molecular aspects of the Ca2+ extrusion mechanisms. The relative contribution of Na+/Ca2+ exchangers in Ca2+ extrusion was higher in the distal apical dendrite in in vitro epileptic condition. Using computer simulations with NEURON, biophysically realistic models were built to understand how faster decay of [Ca2+]i transients in the distal part of apical dendrite associated with [Ca2+]i extrusion mechanisms affect excitability of the neurons. With a linear increase in the density of Na+/Ca2+ exchangers along the apical dendrite, the decrease in τ decay values of [Ca2+]i transients in distal regions seen in experimental epileptic condition was reproduced in simulation. This linear increase in Na+/Ca2+ exchangers lowered the threshold for firing in response to consecutive synaptic inputs to the distal apical dendrite. Our results thus, show the existence of a novel neuroprotective mechanism in distal parts of the apical dendrite of subicular pyramidal neurons under in vitro epileptic condition with the Na+/Ca2+ exchangers being the major contributors to this mechanism. Although the enhanced contribution of Na+/Ca2+ exchangers helps the neuron in removing excess [Ca2+]i loads, it paradoxically makes the neuron hyperexcitable to synaptic inputs in the distal parts of the apical dendrites. Thus, the Na+/Ca2+ exchangers may actually protect subicular pyramidal neurons and at the same time contribute to the maintenance of epileptiform activity. In the second part of the study, neuronal network topologies and connectivity patterns were explored in control and glutamate injury induced epileptogenic hippocampal neuronal networks, cultured on planar multielectrode array (8×8) probes. Hyper synchronization of neuronal networks is the hallmark of epilepsy. To understand hyper synchronization and connectivity patterns of neuronal networks, electrical activity from multiple neurons were monitored simultaneously. The electrical activity recorded from a single electrode mainly consisted of randomly fired single spikes and bursts of spikes. Simultaneous measurement of electrical activity from all the 64 electrodes revealed network bursts. A network burst represents the period (lasting for 0.1–0.2 s) of synchronized activity in the network and, during this transient period, maximum numbers of neurons interact with each other. The network bursts were observed in both control and in vitro epileptic networks, but the frequency of network bursts was more in the latter, compared to former condition. Time stamps of individual spikes (from all 64 electrodes) during such time-aligned network burst were collected and stored in a matrix and used to construct the network topology. Connectivity maps were obtained by analyzing the spike trains using cross-covariance analysis and graph theory methods. Analysis of degree distribution, which is a measure of direct connections between electrodes in a neuronal network, showed exponential and Gaussian distributions in control and in vitro epileptic networks, respectively. Quantification of number of direct connections per electrode revealed that the in vitro epileptic networks showed much higher number of direct connections per electrode compared to control networks. Our results suggest that functional two-dimensional neuronal networks in vitro are not scale-free (not a power law degree distribution). After brief exposure to glutamate, normal hippocampal neuronal networks became hyperexcitable and fired a larger number of network bursts with altered network topology. Quantification of clustering coefficient and path length in these two types of networks revealed that the small-world network property was lost once the networks become epileptic and this was accompanied by a change from an exponential to a Gaussian network. In the last part of the study, we have explored if an excitotoxic glutamate injury (20 µM for 10 min) that produces spontaneous, recurrent, epileptiform discharges in cultured hippocampal neurons can induce epileptogenesis in hippocampal neurons of organotypic brain slice cultures. In vitro models of epilepsy are necessary to understand the mechanisms underlying seizures, the changes in brain structure and function that underlie epilepsy and are the best methods for developing new antiseizure and antiepileptogenic strategies. Glutamate receptor over-activation has been strongly associated with epileptogenesis. Recent studies have shown that brief exposure of dissociated hippocampal neurons in culture to glutamate (20 µM for 10 min) induces epileptogenesis in surviving neurons. Our aim was to extend the in vitro model of glutamate injury induced epilepsy to the slice preparations with intact brain circuits. Patch clamp technique in current-clamp mode was employed to monitor the expression of spontaneous epileptiform discharges from CA1 and CA3 neurons using several combinations of glutamate injury protocols. The results presented here represent preliminary efforts to standardize the glutamate injury protocol for inducing epileptogenesis in organotypic slice preparations. Our results indicate that glutamate injury protocols that induced epileptogenesis in dissociated hippocampal neurons in culture failed to turn CA1 and CA3 neurons of organotypic brain slice cultures epileptic. We also found that the CA1 and CA3 neurons of organotypic brain slice cultures are resilient to induction of epileptogenesis by glutamate injury protocols with 10 times higher concentrations of glutamate (200µM) than that used for neuronal cultures and long exposure periods (upto 30 min). These results clearly show that the factors involved in induction of epileptiform activity after glutamate injury in neuronal cultures and those involved in making the neurons in organotypic slices resilient to such insults are different, and understanding them could give vital clues about epileptogenesis and its control. The resilience of CA1 and CA3 neurons seen could be due to differences in homeostatic plasticity that operate in both these experimental systems. However, further studies are required to corroborate this hypothesis.

Over the last decade advances in multineuron simultaneous recording techniques have produced huge amounts of data. This has led to the investigation of probable temporal relationships between spike times of neurons as manifestations of the underlying network structure. But the huge dimensionality of data makes the search for patterns difficult. Although this difficulty may be surpassed by employing massive computing resources, understanding the significance and relation of these temporal patterns to the underlying network structure and the causative activity is still difficult. To find such relationships in networks of excitatory neurons, a simplified network structure of feedforward chains called "Synfire chains" has been frequently employed. But in a recurrently connected network where activity from feedback connections is comparable to the feedforward chain, the basic assumptions underlying synfire chains are violated. In the first part of this thesis we propose the first-spike-latency based analysis as a low complexity method of studying the temporal relationships between neurons. Firstly, spike latencies being temporal delays measured at a particular epoch of time (onset of activity after a quiescent period) are a small subset of all the temporal information available in spike trains, thereby hugely reducing the amount of data that needs to be analyzed. We also define for the first time, "Synconset waves and chains" as a sequence of first-spike-times and the causative neuron chain. Using simulations, we show the efficacy of the synconset paradigm in unraveling feedforward chains of excitatory neurons even in a recurrent network. We further create a framework for going back and forth between network structure and the observed first-spike-latency patterns. To quantify these associations between network structure and dynamics we propose a likelihood measure based on Bayesian reasoning. This quantification is agnostic to the methods of association used and as such can be used with any of the existing approaches. We also show the benefits of such an analysis when the recorded data is subsampled, as is the case with most physiological recordings. In the subsequent part of our thesis we show two sample applications of first-spike-latency analysis on data acquired from multielectrode arrays. Our first application dwells on the intricacies of extracting first-spike-latency patterns from multineuron recordings using recordings of glutamate injured cultures. We study the significance of these patterns extracted vis-a-vis patterns that may be obtained from exponential spike latency distributions and show the differences between patterns obtained in injured and control cultures. In a subsequent application, we study the evolution of latency patterns over several days during the lifetime of a dissociated hippocampal culture.