Cyclothiazide Prolongs Low [Mg2+]–Induced Seizure-Like Events

NMDA Receptor GluN2 Subtypes Control Epileptiform Events in the Hippocampus

NMDA receptors (NMDARs) play a key role in synaptic plasticity and excitotoxicity. Subtype-specific role of NMDAR in neural disorders is an emerging area. Recent studies have revealed that mutations in NMDARs are a cause for epilepsy. Hippocampus is a known focal point for epilepsy. In hippocampus, expression of the NMDAR subtypes GluN1/GluN2A and GluN1/GluN2B is temporally regulated. However, the pharmacological significance of these subtypes is not well understood in epileptic context/models. To investigate this, epilepsy was induced in hippocampal slices by the application of artificial cerebrospinal fluid that contained high potassium but no magnesium. Epileptiform events (EFEs) were recorded from the CA1 and DG areas of hippocampus with or without subtype-specific antagonists. Irrespective of the age group, CA1 and DG showed epileptiform activity. The NMDAR antagonist AP5 was found to reduce the number of EFEs significantly. However, the application of subtype-specific antagonists (TCN 201 for GluN1/GluN2A and Ro 25-69811 for GluN1/GluN2B) revealed that EFEs had area-specific and temporal components. In slices from neonates, EFEs in CA1 were effectively reduced by Ro 25-69811, but were largely insensitive to TCN 201. In contrast, EFEs in DG were equally sensitive to both of the subtype-specific antagonists. However, the differential sensitivity for the antagonists observed in neonates was absent in later developmental stages. The study provides a functional insight into the NMDAR subtype-dependent contribution of EFEs in hippocampus of young rats, which may have implications in treating childhood epilepsy and avoiding unnecessary side effects of broad spectrum antagonists.

Wavelet-based Gaussian-mixture hidden Markov model for the detection of multistage seizure dynamics: a proof-of-concept study

Background

Epilepsy is a common neurological disorder characterized by recurrent electrophysiological activities, known as seizures. Without the appropriate detection strategies, these seizure episodes can dramatically affect the quality of life for those afflicted. The rationale of this study is to develop an unsupervised algorithm for the detection of seizure states so that it may be implemented along with potential intervention strategies.

Methods

Hidden Markov model (HMM) was developed to interpret the state transitions of the in vitro rat hippocampal slice local field potentials (LFPs) during seizure episodes. It can be used to estimate the probability of state transitions and the corresponding characteristics of each state. Wavelet features were clustered and used to differentiate the electrophysiological characteristics at each corresponding HMM states. Using unsupervised training method, the HMM and the clustering parameters were obtained simultaneously. The HMM states were then assigned to the electrophysiological data using expert guided technique. Minimum redundancy maximum relevance (mRMR) analysis and Akaike Information Criterion (AICc) were applied to reduce the effect of over-fitting. The sensitivity, specificity and optimality index of chronic seizure detection were compared for various HMM topologies. The ability of distinguishing early and late tonic firing patterns prior to chronic seizures were also evaluated.

Results

Significant improvement in state detection performance was achieved when additional wavelet coefficient rates of change information were used as features. The final HMM topology obtained using mRMR and AICc was able to detect non-ictal (interictal), early and late tonic firing, chronic seizures and postictal activities. A mean sensitivity of 95.7%, mean specificity of 98.9% and optimality index of 0.995 in the detection of chronic seizures was achieved. The detection of early and late tonic firing was validated with experimental intracellular electrical recordings of seizures.

Conclusions

The HMM implementation of a seizure dynamics detector is an improvement over existing approaches using visual detection and complexity measures. The subjectivity involved in partitioning the observed data prior to training can be eliminated. It can also decipher the probabilities of seizure state transitions using the magnitude and rate of change wavelet information of the LFPs.

Glutamate uptake shapes low-[Mg2+] induced epileptiform activity in juvenile rat hippocampal slices

A wide range of data support a role for ambient glutamate (Glu) in epilepsy, although temporal patterns associated with the cellular uptake of Glu have not been addressed in detail. We report on the effects of Glu uptake inhibitors on recurrent seizure-like events (SLEs) evoked by low-[Mg(2+)] condition in juvenile rat hippocampal slices. Effects were compared for inhibitors such as L-trans-pyrrolidine-2,4-dicarboxylate (tPDC), DL-threo-beta-benzyloxyaspartate (DL-TBOA) and dihydrokainic acid (DHK), representing different transporter specificity and transportability profiles. Latency to the first SLE after drug application was shortened by the inhibitors (in % of control: 500 microM tPDC: 54+/-7, 15 microM DL-TBOA: 74+/-5, 50 microM dl-TBOA: 70+/-6, 100 microM DHK: 69+/-4, 300 microM DHK: 71+/-7). Further SLEs were frequently aborted by higher inhibitor concentrations applied (500 microM tPDC: 2/6, 50 microM TBOA: 5/5, 100 microM DHK: 6/8, 300 microM DHK: 3/3). Simultaneous field potential and whole-cell voltage recordings showed depolarization-induced inactivation of CA3 pyramidal neurons during inhibitor application. In the presence of inhibitors, the amplitude of forthcoming SLE was also decreased (in % of control: 500 microM tPDC: 66+/-9, 15 microM dl-TBOA: 88+/-5, 50 microM dl-TBOA: 59+/-6, 100 microM DHK: 67+/-4, 300 microM DHK: 68+/-1). Dependent on type and concentration of the inhibitor, the duration of the first SLE of drug application either increased (100 microM DHK: 375+/-90 %; 100 microM tPDC: 137+/-13 %) or decreased (50 microM TBOA: 62+/-13 %; 300 microM DHK: 60+/-15 %) reflecting differences in subtype-specificity or mechanism of action of the inhibitors. Our findings suggest a role for ambient Glu in the genesis and maintenance of recurrent epileptiform discharges.