Electrocorticograms (ECoG's) from 16 of 68 chronically implanted subdural electrodes, placed over the right temporal cortex in a patient with a right medial temporal focus, were analyzed using methods from nonlinear dynamics. A time series provides information about a large number of pertinent variables, which may be used to explore and characterize the system's dynamics. These variables and their evolution in time produce the phase portrait of the system. The phase spaces for each of 16 electrodes were constructed and from these the largest average Lyapunov exponents (L's), measures of chaoticity of the system (the larger the L, the more chaotic the system is), were estimated over time for every electrode before, in and after the epileptic seizure for three seizures of the same patient. The start of the seizure corresponds to a simultaneous drop in L values obtained at the electrodes nearest the focus. L values for the rest of the electrodes follow. The mean values of L for all electrodes in the postictal state are larger than the ones in the preictal state, denoting a more chaotic state postictally. The lowest values of L occur during the seizure but they are still positive denoting the presence of a chaotic attractor. Based on the procedure for the estimation of L we were able to develop a methodology for detecting prominent spikes in the ECoG. These measures (L*) calculated over a period of time (10 minutes before to 10 minutes after the seizure outburst) revealed a remarkable coherence of the abrupt transient drops of L* for the electrodes that showed the initial ictal onset. The L* values for the electrodes away from the focus exhibited less abrupt transient drops. These results indicate that the largest average Lyapunov exponent L can be useful in seizure detection as well as a discriminatory factor for focus localization in multielectrode analysis.

Current epileptic seizure "prediction" algorithms are generally based on the knowledge of seizure occurring time and analyze the electroencephalogram (EEG) recordings retrospectively. It is then obvious that, although these analyses provide evidence of brain activity changes prior to epileptic seizures, they cannot be applied to develop implantable devices for diagnostic and therapeutic purposes. In this paper, we describe an adaptive procedure to prospectively analyze continuous, long-term EEG recordings when only the occurring time of the first seizure is known. The algorithm is based on the convergence and divergence of short-term maximum Lyapunov exponents (STLmax) among critical electrode sites selected adaptively. A warning of an impending seizure is then issued. Global optimization techniques are applied for selecting the critical groups of electrode sites. The adaptive seizure prediction algorithm (ASPA) was tested in continuous 0.76 to 5.84 days intracranial EEG recordings from a group of five patients with refractory temporal lobe epilepsy. A fixed parameter setting applied to all cases predicted 82% of seizures with a false prediction rate of 0.16/h. Seizure warnings occurred an average of 71.7 min before ictal onset. Similar results were produced by dividing the available EEG recordings into half training and testing portions. Optimizing the parameters for individual patients improved sensitivity (84% overall) and reduced false prediction rate (0.12/h overall). These results indicate that ASPA can be applied to implantable devices for diagnostic and therapeutic purposes.

The academic achievement scores of 122 children with epilepsy were examined in relation to demographic and clinical seizure variables. As a group, these children were making less academic progress than expected for their age and IQ level. Academic deficiencies were greatest in arithmetic, followed by spelling, reading, comprehension, and word recognition. Results of the multiple regression analyses indicated a modest combined predictive significance of the demographic and clinical seizure variables for academic performance. In addition, the magnitude of these relationships varied by academic area. Among the individual variables examined the strongest correlates of academic performance were age of the child, age of seizure onset, lifetime total seizure frequency, and presence of multiple seizures (absence and tonic-clonic). These results are discussed in relation to developing an understanding of the factors which underlie academic vulnerability in children with epilepsy.

Adjunctive lamotrigine is effective in the treatment of primary generalized tonic-clonic seizures and has a favorable tolerability profile.

We studied the efficacy and safety of felbamate, an investigational antiepileptic drug, in a unique, double-blind, placebo-controlled trial. Sixty-four patients with refractory partial-onset seizures who completed a routine evaluation for epilepsy surgery met seizure frequency entry criteria. Each patient received felbamate or placebo in addition to the anticonvulsant regimen present at the conclusion of the presurgical evaluation. The treatment phase consisted of an 8-day inpatient period and a 21-day outpatient period. The efficacy variable was time to fourth seizure. The difference in time to fourth seizure was statistically significant (p = 0.028) in favor of felbamate. Eighty-eight percent of the patients in the placebo group had a fourth seizure during the treatment phase compared with 46% of the patients in the felbamate group (p = 0.001). Adverse experiences with felbamate were generally mild or moderate in severity. This trial demonstrated the ability of felbamate to quickly and safely reduce the occurrence of frequent partial-onset seizures and maintain effective seizure control following reductions in the dosages of standard antiepileptic drugs.

Recently, interest has turned to the mathematical concept of chaos as an explanation for a variety of complex processes in nature. Chaotic systems, among other characteristics, can produce what appears to be random output. Another property of chaotic systems is that they may exhibit abrupt intermittent transitions between highly ordered and disordered states. Because of this property, it is hypothesized that epilepsy may be an example of chaos. In this review, some of the basic concepts of nonlinear dynamics and chaos are illustrated. Mathematical techniques developed to study the properties of nonlinear dynamical systems are outlined. Finally, the results of applying these techniques to the study of human epilepsy are discussed. The application of these powerful and novel mathematical techniques to analysis of the electroencephalogram has provided new insights into the epileptogenic process and may have considerable utility in the diagnosis and treatment of epilepsy. The Neuroscientist 2:118-126, 1996

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Summary:Purpose: This study was designed to evaluate efficacy and safety of zonisamide (ZNS) as adjunctive treatment for patients with refractory partial seizures.Methods: This randomized, double-blind, placebo-controlled study was conducted at four epilepsy treatment centers. It included a baseline phase (8 to 12 weeks) and a double-blind treatment phase (12 weeks). Initially, patients randomized to ZNS treatment were given a 7-mg/kg/d dosage. When investigators found that adverse effects could be reduced by gradually introducing ZNS, patients were allowed to begin treatment at lower doses (100 mg or ∼1.5 mg/kg/d) titrated over several weeks to a maximum of 400 to 600 mg/d. Primary and secondary efficacy measures were the median percentage reduction from baseline in seizure frequency and the proportion of patients achieving a ≥50% reduction from baseline (responder rate). Patient and physician global assessments also served as indicators of efficacy. Safety was assessed primarily by treatment-emergent adverse events.Results: ZNS-treated patients had a 28.9% reduction in seizure frequency, which differed significantly from the 4.7% increase in placebo-treated patients. The responder rate for ZNS-treated patients was 26.9%, compared with 16.2% for placebo-treated patients. At study's end, 66.2% of ZNS-treated patients and 12.3% of placebo-treated patients considered their condition improved; similarly, physicians assessed 63.6% of ZNS-treated patients and 10.8% of placebo-treated patients as improved. The most frequently reported adverse events with ZNS treatment included somnolence, irritability, dizziness, nausea, and fatigue.Conclusions: As adjunctive treatment, ZNS was generally well tolerated and significantly improved seizure control among patients with refractory partial seizures.