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Neurological Review |

Emerging Concepts in the Pathogenesis of Epilepsy and Epileptogenesis FREE

Marc A. Dichter, MD, PhD
[+] Author Affiliations

Author Affiliation:Department of Neurology, University of Pennsylvania, Philadelphia.


Section Editor: David E. Pleasure, MD

More Author Information
Arch Neurol. 2009;66(4):443-447. doi:10.1001/archneurol.2009.10.
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Recent studies of the problem of ictogenesis, or the ways that seizures develop in an already hyperexcitable brain, are leading to paradigm-shifting concepts that may lead to exciting new therapies for seizures. Research on the equally important area of epileptogenesis, or the ways that a normal brain becomes epileptic, is also expanding, but comparable research into translation of laboratory findings into successful clinical interventions for those at high risk needs to be developed.

Figures in this Article

Two new areas of research have the potential to have a major effect on the current understanding of the physiologic mechanisms underlying seizure generation and on possible new treatment strategies for preventing epilepsy after a brain “injury.” These developments may seem to be separate and unconnected, but they represent 2 of the most fundamental questions in epilepsy research: how do seizures develop in the brain and how does a normal brain develop epilepsy after injury? The first section of this article introduces what could be considered a paradigm shift in the understanding and conceptualization of what is occurring in the brain of someone with epilepsy during baseline interictal periods, when no overt clinical seizures are occurring, and then during the development of seizures. The second section focuses on old and new information about how the normal brain can be altered to develop the propensity for these hyperexcitable phenomena and emphasizes critical gaps in our understanding of this process. It also addresses what is needed to translate the information about epileptogenesis into clinically meaningful prevention strategies for individuals who are identified as being at high risk.

For more than a century, the concept of the epileptic focus, and of the seizures that arise from such brain regions, consisted of a vague notion of one area of the brain that was “injured,” or at least abnormally excitable, that was relatively discrete, and that, if removed, would render the patient seizure free. In addition, it was thought that the seizure was an abrupt and sudden event, either confined to the abnormal region or spreading throughout the brain. It is becoming more apparent from research in several laboratories, partly based on new technologies, that an epileptic region of the brain more likely consists of multiple small distributed hyperexcitable networks. More interesting, perhaps, is that a variety of electrophysiologic changes may be occurring frequently in these regions that move the brain into different seizure probability states that may wax and wane before clinical seizures develop. These abnormal electrical events may include microseizures, or seizurelike electrophysiologic events, which occur frequently in these small regions; clinical seizures may result when these microseizures slowly enlarge, begin to coalesce, and engage more and more of the normal brain in surrounding regions. The implications of this new hypothesis are enormous and are discussed later in this article.

What might these microdomains look like? These possibilities can be examined for the human hippocampus and surrounding regions, parts of the brain that are very epileptogenic and traditionally have been deemed responsible for intractable complex partial seizures. In patients with temporal lobe epilepsy, the hippocampus is small and sclerotic. At the microscopic level, there is extensive cell loss, with small patches of surviving (although injured) neurons, dispersal of surviving neurons, gliosis, axonal sprouting, and the formation of new synaptic connections, especially local connections in small networks (Figure 1). At the molecular level, the surviving neurons and glia express many different genes that encode ion channels and receptors, as well as other proteins, compared with their normal counterparts.13These changes in gene expression patterns affect the physiologic and pharmacologic features of the injured regions.

Place holder to copy figure label and caption
Figure 1.

Normal human hippocampus (A) and hippocampal sclerosis (B). aIndicates neuronal loss and gliosis; and b, granule cell dispersion. Not illustrated in this Nissl stain is extensive axon sprouting by surviving neurons in the granule cell layer and elsewhere and major changes in gene expression in surviving neurons and glia in the injured regions.13Original images used with permission from Robert Sloviter, PhD.

Graphic Jump Location

Several years ago, a UCLA-based epilepsy research group, and others, using new electrophysiologic techniques that focused on high-bandwidth (high-frequency) recording, began noting highly localized bursts of high-frequency activity riding on interictal spike discharges in deep limbic areas.4,5In some respects, these findings could be considered analogous to old findings of afterdischarges and high-frequency oscillations occurring after interictal spikes in discrete areas of epileptogenic neocortex and hippocampus observed in experimental animal models6,7and in human patients.8These oscillations seemed to be associated with the regions from which seizures emanated and were generally not seen on spikes in more distant regions. The UCLA group called these fast ripples, and others used the term high-frequency epileptiform discharges. They proposed that one could differentiate red spikes from green spikes, with red spikes indicating the most ictogenic areas. They also demonstrated that the fast ripples occurred more frequently in parahippocampal regions, such as the subicular cortex.9Based on their observations in human patients and epileptic animal models, they proposed a hypothesis that “chronic epileptogenesis requires development of a network of pathologically interconnected neuron clusters.”10(pS144)Although not a radical departure from some previous thinking, this work focused the attention of the field on the concept of a more distributed network rather than on a more homogeneous epileptic area.

At the neocortical level, in patients with injuries or dysplasias, similar phenomena can be found at the anatomical and electrophysiologic levels.11Often, these are more difficult to localize or identify because the cellular structure of the neocortex is more complex than that of the hippocampus, and the lesions tend to be more distributed.

These concepts have now been taken to a new level by studies using microelectrode recordings from human epileptic regions. This can be done using surface grids and specialized electrodes in the neocortex or using microwire recordings from deep structures. In work originating from the Mayo Clinic, performed by Worrell and Stead in collaboration with Litt12at the University of Pennsylvania, brief seizurelike discharges were recorded frequently from several microelectrodes within localized epileptic regions of the cortex, but in only 1 microelectrode at a time. These discharges are never seen with macro-electroencephalographic electrodes, and they seem to occur in very discrete regions. They are often seen in only 1 of a series of closely spaced microelectrodes, a result that indicates a very limited spatial distribution. Although much more data are needed, a hypothesis emerging from these discoveries is that microseizures occur frequently in hyperexcitable regions of the neocortex or hippocampus and that these events are often brief and self-limited. A hypothesis in development based on these observations suggests that a full-blown, clinically detectable seizure develops when these microseizures begin to enlarge, coalesce, and eventually reach critical mass. Whether there are behavioral consequences of these small localized events remains to be seen, but it is an intriguing issue regarding so many of the problems that patients with epilepsy have that seem distinct from the seizures they experience.

What factors are likely to be responsible for these events and their expansion? Undoubtedly, inhibition plays a role in confining the seizurelike events, both in time and space, according to a hypothesis first presented in the 1960s.13Experiments performed by the UCLA group illustrate how fast ripple discharges in a hippocampal slice taken from an epileptic rat are localized (red) at baseline, but, when synaptic, γ-aminobutyric acid–mediated inhibition is reduced, the fast ripples spread throughout the slice and the interictal discharges increase in size.14These data support some long-standing hypotheses about ictogenesis also based on the balance between excitation and inhibition in small localized cortical circuits.13,15

How does this phenomenon occur physiologically, without the addition of receptor antagonists? In an epileptic region, there is an excitatory center where some of the principal cells tend to fire in abnormal high-frequency bursts. These bursts are likely due, at least in part, to enhanced recurrent excitatory connections. These neurons also typically synapse onto inhibitory interneurons, which have widely distributed local connections and inhibit surrounding regions. When the excitatory neurons fire too aggressively, interesting phenomena occur, all of which are part of the normal functioning of the vertebrate brain. Excitatory synapses are facilitated with repetitive stimulation, producing stronger activation of recurrent excitatory circuits. Simultaneously, repetitive stimulation of inhibitory synapses produces a decline in synaptic strength.1618This combination of enhanced positive feedback and diminished negative feedback results in an “explosive” situation, and seizure activity is produced. This can occur in small, highly localized regions, such as those sampled by 1 microwire as discussed previously herein; in larger surrounding regions; or even at distances from the hyperexcitable region. This is the likely mechanism by which seizures develop and spread rapidly throughout the brain.

What are the implications of all this information? First, at a purely clinical level, the recording of these events may permit enhanced seizure focus localization for resective surgery. Second, as newer, innovative treatments are developed, localization for brain stimulation or local drug delivery can be performed. Third, if seizures are not beginning abruptly but are developing by the increases and regressions of these microseizures, it is possible that seizures can be predicted, safe periods can be identified, and therapy can be directed to patients during high-risk times, possibly by using intelligent closed-loop feedback devices. These therapies can be directed toward disrupting incipient hypersynchrony.

Other recent research19indicates that seizures do not start abruptly but may develop with a predictable series of changes in brain electrical activity. One example, from Litt's laboratory, is that multiple dimensions of information can be extracted from intracranial electroencephalograms (without microwire recordings) in various time domains preceding seizures.20In a more recent study,21this laboratory, using sophisticated statistical techniques, demonstrated the occurrence of a more probabilistic series of events, with focus on an increasing probability of seizure occurrence rather than on a purely linear “march” toward a seizure. Regions of the brain oscillate between periods of relative quiescence and periods of increasingly higher probabilities, suggesting that a seizure may be imminent.21All this work is focused on the design of new therapies that will be tied directly to the prediction of seizure occurrence online and the delivery of some form of therapy to disrupt the developing hypersynchrony. The first generation of such devices is currently undergoing clinical testing as both an open-loop stimulation22and a closed-loop stimulation coupled with early seizure detection.23As more is learned about localized changes in brain excitability states, it is hoped that closed-loop devices could be activated by the impending increase in excitability rather than the patient having to wait for a seizure to actually begin.

At this time, attention can be turned from predicting and preventing seizures to predicting and preventing epilepsy. How does the normal human brain develop epilepsy, or hyperexcitability? This is a fundamental scientific and clinical issue. However, unlike the dramatic and paradigm-changing advances discussed so far, the issue of prevention of epilepsy remains problematic.

For this reason, it is appropriate to propose the recognition of a new syndrome: the risk of epilepsy development (RED) syndrome. The RED syndrome recognizes that after a variety of brain “injuries” (eg, trauma, status epilepticus, ischemia, central nervous system infection, and some forms of chronic neurodegeneration), a process has begun that leads to the development of epilepsy, at least in a substantial fraction of individuals. Why is it necessary to invent a new syndrome? Epilepsy seems to be either the only disease known to humankind, or one of very few, in which physicians wait until the disorder develops and then only try to treat the symptoms. Research and treatment strategies for virtually every other disease focus on either prevention or cure, especially prevention. Smokers are not encouraged to continue smoking and then treated for a cough only after they develop lung cancer. Very high cholesterol levels or blood pressure readings are not ignored until heart attacks or strokes occur. When possible, medical therapy focuses on risk reduction and prevention.

Epilepsy prevention has not been a major focus of research despite the fact that epilepsy is a major medical problem. It develops over time, so there is opportunity to intervene, and risk factors can often be identified. So one may ask why the neurology community has not focused more on this issue. Part of the reason is because there is insufficient basic scientific information about intervention strategies. However, there has been a recent dramatic increase in research focusing on the mechanisms of epileptogenesis that parallels the studies described earlier on the mechanisms of ictogenesis.

It is clearly possible to identify patients who are at relatively high risk for epilepsy.24,25These include individuals with moderate to severe head injury (such as we are seeing in veterans returning from Iraq and Afghanistan); individuals with intracerebral hemorrhage, brain tumors, status epilepticus, and a variety of chronic neurodegenerative diseases; and children with prolonged febrile seizures, dysplastic brains, and who have certain genetic forms of epilepsy but have not yet become symptomatic. However, at the present time, nothing can be done to reduce the risk of epilepsy in these individuals. One can get a sense of the state of clinical investigation in this area by examining the ClinicalTrials.gov Web site (Figure 2). Most of the major neurologic disorders list many clinical trials in progress, most of which are focused on prevention or direct treatment. The figure includes more than 150 clinical trials in epilepsy, but almost all of them are devoted to symptomatic therapy. There are only 2 clinical trials listed that are trying to prevent epilepsy in high-risk individuals. Both are pilot trials and focus on individuals with traumatic brain injury. It is clear that more work needs to be done in this area.

Place holder to copy figure label and caption
Figure 2.

Number of clinical trials listed on the ClinicalTrials.gov Web site for various neurologic disorders. AD indicates Alzheimer disease; MD, muscular dystrophy; MS, multiple sclerosis; PD, Parkinson disease; and TBI, traumatic brain injury.

Graphic Jump Location

To develop strategies for the prevention of epilepsy, it is necessary to understand the process of epileptogenesis. Initially, a normal brain experiences some form of “injury.” The injury can result from trauma, infection, ischemia, a bout of prolonged seizures (status epilepticus), or the presence of a malformation or mass lesion. Depending on the patient's age and genetic background, some acute damage occurs, and then, progressive damage often continues. The brain tries to repair itself, but after a latent period of days, weeks, months, or even years, a condition of hyperexcitability develops and seizures begin. The seizures themselves may produce progressive damage, depending on where in the brain they occur and how intense they are. We do not know whether this is a 1-shot event or whether multiple “hits” are necessary for full expression of the epileptic phenotype (Figure 3).

Place holder to copy figure label and caption
Figure 3.

Hypothetical epileptogenic events that lead to chronic epilepsy. The dotted line designates the threshold at which clinical seizures become apparent. A, One hit. B, Two hits. C, Multiple hits.

Graphic Jump Location

The end product of the epileptogenic process has been analyzed using human brain tissue, mostly via electrophysiologic studies or postmortem or surgical pathological examinations. The process of epileptogenesis has also been examined in a variety of animal models.26The major findings of these studies can be distilled to the types that were discussed earlier: cell loss, axonal sprouting, synaptic reorganization, alterations in the neuronal phenotype, neurogenesis, circuit reorganization, and altered glial function. Each of these can be a therapeutic target, but it must be appreciated that many of these processes may be involved in the attempt of the brain to repair the damage and recover lost function. This is a significant issue for any clinical trial because it is important not to prevent epilepsy at the cost of impairing recovery of function. In fact, several antiseizure agents have been shown to retard recovery of function in models of ischemia and traumatic brain injury.2729

There are several current hypotheses about approaches to prevention of epilepsy, but there are very few data in this field on which to build a significant clinical program. One prominent idea is that by protecting the brain from the injury, one can prevent epilepsy. At a gross level this is true: that is, if all damage is prevented, epilepsy is unlikely to occur. However, there are also data from experimental studies30,31that indicate that some forms of partial protection do not, in fact, prevent subsequent epilepsy. Thus, even a logical and sensible hypothesis needs careful experimental and clinical verification.

Examination of the current status of antiepileptogenesis at the clinical level produces disappointing results.32This can lead to a nihilistic conclusion that nothing should be done until basic research in animal models indicates more promising pathways. However, if the clinical research in this field is put on hold until that time, without suitable preparation and pilot studies, it will take at least 5 or 10 years to determine whether any laboratory breakthrough is effective in a clinical setting with human patients. An alternative plan would be to begin the process now so that when the laboratory breakthrough becomes available, it will be clear how best to evaluate its effectiveness as a therapy.33

It is important to continue to improve the ability to identify those at risk, to begin thinking about treatment before seizures develop, to treat with “safe” therapies, and to examine the outcome. In the process of developing a truly antiepileptogenic therapy, it will be important to distinguish the delay of the onset of symptoms accomplished by using a symptomatic treatment (eg, an antiseizure drug) from the true reduction of the occurrence of the disorder. However, it must also be recognized that effective suppression of all early seizures, even small ones that are not easily identified using current technologies, may be interfering with the process of epileptogenesis; so, in this case, “symptomatic” antiseizure drug therapy may also be antiepileptogenic. As mentioned, there are currently 2 ongoing pilot studies designed to explore these issues, and there are pioneering studies by Temkin and colleagues34,35at the University of Washington that have led the way in this field.

As these pilot studies are undertaken, it will be useful to examine biomarkers in several domains that might identify those in the high-risk groups who are developing hyperexcitable brains and who might require more aggressive monitoring and intervention. These biomarkers would include electrophysiologic markers, from scalp and, likely, intracranial recordings, where one might look for the appearance of interictal spikes,36fast ripples,37and microseizures.12They would also include imaging biomarkers and, possibly, biochemical biomarkers in serum or cerebrospinal fluid.

The long-term goal in this effort is to “cure” epilepsy by preventing its development in at-risk individuals. To accomplish this, it will be necessary to recognize the RED syndrome, to develop a consensus for the need for clinical trials in antiepileptogenesis, to develop the clinical infrastructure for performing such trials in a network of centers, to develop better clinical trial paradigms, and to partner with those who perform basic research in antiepileptogenesis.

In summary, paradigm-shifting research is altering how we understand the processes by which seizures develop in an already hyperexcitable brain. These new discoveries have great promise to lead to new forms of therapy with long-term intracranial electroencephalographic monitoring, seizure prediction, brain stimulation, local drug delivery, and intelligent implanted closed-loop feedback devices. These are therapies that would have been in the realm of science fiction just a few years ago. In addition to learning how to predict seizures, it is also possible to predict epilepsy, at least with some level of probability. However, just as the field is trying to capitalize on a newly developed ability to predict seizures, a strong focus of basic and clinical research on the important topic of preventing epilepsy in those who are known to be at high risk is needed. In this endeavor, it would be appropriate to raise a RED flag for epilepsy!

Correspondence:Marc A. Dichter, MD, PhD, Department of Neurology, University of Pennsylvania, 3 Gates Building, 3400 Spruce St, Philadelphia, PA 19104-4204 (dichter@mail.med.upenn.edu).

Accepted for Publication:May 4, 2008.

Financial Disclosure:None reported.

Bernard  CAnderson  ABecker  APoolos  NPBeck  HJohnston  D Acquired dendritic channelopathy in temporal lobe epilepsy. Science 2004;305 (5683) 532- 535
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Ellerkmann  RKRemy  SChen  J  et al.  Molecular and functional changes in voltage-dependent Na+channels following pilocarpine-induced status epilepticus in rat dentate granule cells. Neuroscience 2003;119 (2) 323- 333
PubMed
Remy  SBeck  H Molecular and cellular mechanisms of pharmacoresistance in epilepsy. Brain 2006;129 (pt 1) 18- 35
PubMed
Bragin  AEngel  J  JrWilson  CLFried  IMathern  GW Hippocampal and entorhinal cortex high-frequency oscillations (100-500 Hz) in human epileptic brain and in kainic acid–treated rats with chronic seizures. Epilepsia 1999;40 (2) 127- 137
PubMed
Bragin  AWilson  CLStaba  RJReddick  MFried  IEngel  J  Jr Interictal high-frequency oscillations (80-500 Hz) in the human epileptic brain: entorhinal cortex. Ann Neurol 2002;52 (4) 407- 415
PubMed
Ralston  BL The mechanism of transition of interictal spiking foci into ictal seizure discharges. Electroencephalogr Clin Neurophysiol 1958;10 (2) 217- 232
PubMed
Dichter  MSpencer  WA Penicillin-induced interictal discharges from the cat hippocampus, I: characteristics and topographical features. J Neurophysiol 1969;32 (5) 649- 662
PubMed
Ralston  BLPapatheodorou  CA The mechanism of transition of interictal spiking foci into ictal seizure discharges, part II: observations in man. Electroencephalogr Clin Neurophysiol 1960;12297- 304
PubMed
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Worrell  GAParish  LCranstoun  SDJonas  RBaltuch  GLitt  B High-frequency oscillations and seizure generation in neocortical epilepsy. Brain 2004;127 (pt 7) 1496- 1506
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Stead  MHu  SGardner  A  et al.  Multiscale Electrophysiology in Human Epileptogenic Brain: Microseizures, DC-fluctuations, and High Frequency Oscillations. Epilepsia 2007;48 (56)
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PubMed
Bragin  AMody  IWilson  CLEngel  J  Jr Local generation of fast ripples in epileptic brain. J Neurosci 2002;22 (5) 2012- 2021
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Dichter  MAAyala  GF Cellular mechanisms of epilepsy: a status report. Science 1987;237 (4811) 157- 164
PubMed
Aaron  GBWilcox  KSDichter  MA Different patterns of synaptic transmission revealed between hippocampal CA3 stratum oriens and stratum lucidum interneurons and their pyramidal cell targets. Neuroscience 2003;117 (1) 169- 181
PubMed
Kaplan  MPWilcox  KSDichter  MA Differences in multiple forms of short-term plasticity between excitatory and inhibitory hippocampal neurons in culture. Synapse 2003;50 (1) 41- 52
PubMed
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PubMed
Lehnertz  KLitt  B The First International Collaborative Workshop on Seizure Prediction: summary and data description. Clin Neurophysiol 2005;116 (3) 493- 505
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Litt  BEsteller  REchauz  J  et al.  Epileptic seizures may begin hours in advance of clinical onset: a report of five patients. Neuron 2001;30 (1) 51- 64
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Wong  SGardner  ABKrieger  AMLitt  B A stochastic framework for evaluating seizure prediction algorithms using hidden Markov models. J Neurophysiol 2007;97 (3) 2525- 2532
PubMed
Kerrigan  JFLitt  BFisher  RS  et al.  Electrical stimulation of the anterior nucleus of the thalamus for the treatment of intractable epilepsy. Epilepsia 2004;45 (4) 346- 354
PubMed
Morrell  M Brain stimulation for epilepsy: can scheduled or responsive neurostimulation stop seizures? Curr Opin Neurol 2006;19 (2) 164- 168
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PubMed
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PubMed
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PubMed
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PubMed
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PubMed
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PubMed

Figures

Place holder to copy figure label and caption
Figure 1.

Normal human hippocampus (A) and hippocampal sclerosis (B). aIndicates neuronal loss and gliosis; and b, granule cell dispersion. Not illustrated in this Nissl stain is extensive axon sprouting by surviving neurons in the granule cell layer and elsewhere and major changes in gene expression in surviving neurons and glia in the injured regions.13Original images used with permission from Robert Sloviter, PhD.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 2.

Number of clinical trials listed on the ClinicalTrials.gov Web site for various neurologic disorders. AD indicates Alzheimer disease; MD, muscular dystrophy; MS, multiple sclerosis; PD, Parkinson disease; and TBI, traumatic brain injury.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 3.

Hypothetical epileptogenic events that lead to chronic epilepsy. The dotted line designates the threshold at which clinical seizures become apparent. A, One hit. B, Two hits. C, Multiple hits.

Graphic Jump Location

Tables

References

Bernard  CAnderson  ABecker  APoolos  NPBeck  HJohnston  D Acquired dendritic channelopathy in temporal lobe epilepsy. Science 2004;305 (5683) 532- 535
PubMed
Ellerkmann  RKRemy  SChen  J  et al.  Molecular and functional changes in voltage-dependent Na+channels following pilocarpine-induced status epilepticus in rat dentate granule cells. Neuroscience 2003;119 (2) 323- 333
PubMed
Remy  SBeck  H Molecular and cellular mechanisms of pharmacoresistance in epilepsy. Brain 2006;129 (pt 1) 18- 35
PubMed
Bragin  AEngel  J  JrWilson  CLFried  IMathern  GW Hippocampal and entorhinal cortex high-frequency oscillations (100-500 Hz) in human epileptic brain and in kainic acid–treated rats with chronic seizures. Epilepsia 1999;40 (2) 127- 137
PubMed
Bragin  AWilson  CLStaba  RJReddick  MFried  IEngel  J  Jr Interictal high-frequency oscillations (80-500 Hz) in the human epileptic brain: entorhinal cortex. Ann Neurol 2002;52 (4) 407- 415
PubMed
Ralston  BL The mechanism of transition of interictal spiking foci into ictal seizure discharges. Electroencephalogr Clin Neurophysiol 1958;10 (2) 217- 232
PubMed
Dichter  MSpencer  WA Penicillin-induced interictal discharges from the cat hippocampus, I: characteristics and topographical features. J Neurophysiol 1969;32 (5) 649- 662
PubMed
Ralston  BLPapatheodorou  CA The mechanism of transition of interictal spiking foci into ictal seizure discharges, part II: observations in man. Electroencephalogr Clin Neurophysiol 1960;12297- 304
PubMed
Staba  RJWilson  CLBragin  AFried  IEngel  J  Jr Quantitative analysis of high-frequency oscillations (80-500 Hz) recorded in human epileptic hippocampus and entorhinal cortex. J Neurophysiol 2002;88 (4) 1743- 1752
PubMed
Bragin  AWilson  CLEngel  J  Jr Chronic epileptogenesis requires development of a network of pathologically interconnected neuron clusters: a hypothesis. Epilepsia 2000;41 ((suppl 6)) S144- S152
PubMed
Worrell  GAParish  LCranstoun  SDJonas  RBaltuch  GLitt  B High-frequency oscillations and seizure generation in neocortical epilepsy. Brain 2004;127 (pt 7) 1496- 1506
PubMed
Stead  MHu  SGardner  A  et al.  Multiscale Electrophysiology in Human Epileptogenic Brain: Microseizures, DC-fluctuations, and High Frequency Oscillations. Epilepsia 2007;48 (56)
Dichter  MSpencer  WA Penicillin-induced interictal discharges from the cat hippocampus, II: mechanisms underlying origin and restriction. J Neurophysiol 1969;32 (5) 663- 687
PubMed
Bragin  AMody  IWilson  CLEngel  J  Jr Local generation of fast ripples in epileptic brain. J Neurosci 2002;22 (5) 2012- 2021
PubMed
Dichter  MAAyala  GF Cellular mechanisms of epilepsy: a status report. Science 1987;237 (4811) 157- 164
PubMed
Aaron  GBWilcox  KSDichter  MA Different patterns of synaptic transmission revealed between hippocampal CA3 stratum oriens and stratum lucidum interneurons and their pyramidal cell targets. Neuroscience 2003;117 (1) 169- 181
PubMed
Kaplan  MPWilcox  KSDichter  MA Differences in multiple forms of short-term plasticity between excitatory and inhibitory hippocampal neurons in culture. Synapse 2003;50 (1) 41- 52
PubMed
Wilcox  KSBuchhalter  JDichter  MA Properties of inhibitory and excitatory synapses between hippocampal neurons in very low density cultures. Synapse 1994;18 (2) 128- 151
PubMed
Lehnertz  KLitt  B The First International Collaborative Workshop on Seizure Prediction: summary and data description. Clin Neurophysiol 2005;116 (3) 493- 505
PubMed
Litt  BEsteller  REchauz  J  et al.  Epileptic seizures may begin hours in advance of clinical onset: a report of five patients. Neuron 2001;30 (1) 51- 64
PubMed
Wong  SGardner  ABKrieger  AMLitt  B A stochastic framework for evaluating seizure prediction algorithms using hidden Markov models. J Neurophysiol 2007;97 (3) 2525- 2532
PubMed
Kerrigan  JFLitt  BFisher  RS  et al.  Electrical stimulation of the anterior nucleus of the thalamus for the treatment of intractable epilepsy. Epilepsia 2004;45 (4) 346- 354
PubMed
Morrell  M Brain stimulation for epilepsy: can scheduled or responsive neurostimulation stop seizures? Curr Opin Neurol 2006;19 (2) 164- 168
PubMed
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