Prediction of epileptic seizures

@article{Litt2002PredictionOE,
  title={Prediction of epileptic seizures},
  author={Brian Litt and Javier R. Echauz},
  journal={The Lancet Neurology},
  year={2002},
  volume={1},
  pages={22-30}
}
For almost 40 years, neuroscientists thought that epileptic seizures began abruptly, just a few seconds before clinical attacks. There is now mounting evidence that seizures develop minutes to hours before clinical onset. This change in thinking is based on quantitative studies of long digital intracranial electroencephalographic (EEG) recordings from patients being evaluated for epilepsy surgery. Evidence that seizures can be predicted is spread over diverse sources in medical, engineering… Expand
Epileptic seizure prediction and control
  • L. Iasemidis
  • Computer Science, Medicine
  • IEEE Transactions on Biomedical Engineering
  • 2003
TLDR
An overview of the application of signal processing methodologies based upon the theory of nonlinear dynamics to the problem of seizure prediction is presented. Expand
Seizure forecasting and cyclic control of seizures
TLDR
There are many possible applications of a seizure‐forecasting device, including improving quality of life for people with epilepsy, guiding treatment plans and medication titration, optimizing presurgical monitoring, and focusing scientific research. Expand
Seizure Prediction Methods: A Review of the Current Predicting Techniques
TLDR
The present study reviews the most important and recent methods for seizure prediction and suggests new modalities that incorporate these approaches to predict early onset of seizures minutes to hours before they initiate will enable experts to develop new interventional treatments. Expand
Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies
TLDR
A comparison of state-of-the-art methods used to predict seizures using both scalp and intracranial EEG signals are presented and improvements to existing methods are suggested. Expand
1 Optimization and Data Mining in Epilepsy Research : A Review and Perspective
During the past century, most neuroscientists have believed that epileptic seizures began abruptly in a matter of a few seconds before clinical onset. Since the late 80’s, there has been an explosionExpand
Real-time Prediction of Epileptic Seizures using EEG signal
Around 1-2% of the worlds population suffers from epilepsy and 25% of the epilepsy patients are not curable through surgery or medicine. Epileptic seizures often occur unpredictably and may causeExpand
Prediction of seizure occurrence by chaos analysis: technique and therapeutic implications
Publisher Summary This chapter discusses the prediction of seizure occurrence by chaos analysis. Prediction of seizures is a challenge for both basic research and clinical epileptology. In majorityExpand
A machine learning system for automated whole-brain seizure detection
TLDR
A supervised machine learning approach is presented that classifies seizure and non-seizure records using an open dataset containing 342 records and posits a new method for generalising seizure detection across different subjects without prior knowledge about the focal point of seizures. Expand
Translating seizure detection, prediction and brain stimulation into implantable devices for epilepsy
TLDR
A scheme for quantifying seizure precursors and coupling these measures to brain stimulation to abort seizures is presented, which could provide an exciting opportunity for engineers, neuroscientists and clinicians to collaborate and rapidly translate new findings into clinical treatments. Expand
Mining biomarkers of epilepsy from large-scale intracranial electroencephalography
TLDR
This work develops reliable methods to quantify interictal patterns, applying state of the art techniques from machine learning, signal processing, and EEG analysis, and provides an analytical framework to enable others to mine largescale iEEG datasets. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 82 REFERENCES
Epileptic seizures can be anticipated by non-linear analysis
TLDR
It is demonstrated that in most cases, seizure onset could be anticipated well in advance (between 2–6 minutes beforehand), and that all subjects seemed to share a similar 'route' towards seizure. Expand
Epileptic Seizures May Begin Hours in Advance of Clinical Onset A Report of Five Patients
TLDR
It is suggested that epileptic seizures may begin as a cascade of electrophysiological events that evolve over hours and that quantitative measures of preseizure electrical activity could possibly be used to predict seizures far in advance of clinical onset. Expand
Anticipation of epileptic seizures from standard EEG recordings
TLDR
Seizure anticipation strategies in real-time can now be envisaged for diverse clinical applications, such as devices for patient warning, for efficacy of ictal-single photon emission computed tomography procedures, and eventual treatment interventions for preventing seizures. Expand
Anticipation of epileptic seizures from standard EEG recordings
TLDR
Seizure anticipation strategies in real-time can now be envisaged for diverse clinical applications, such as devices for patient warning, for efficacy of ictal-single photon emission computed tomography procedures, and eventual treatment interventions for preventing seizures. Expand
Nonlinear EEG analysis in epilepsy: its possible use for interictal focus localization, seizure anticipation, and prevention.
  • K. Lehnertz, R. Andrzejak, +5 authors C. Elger
  • Psychology, Medicine
  • Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society
  • 2001
TLDR
Findings indicate that it is indeed possible to detect a preseizure phase and the unequivocal definition of such a state with a sufficient length would enable investigations of basic mechanisms leading to seizure initiation in humans, and development of adequate seizure prevention strategies. Expand
Quadratic Binary Programming and Dynamical System Approach to Determine the Predictability of Epileptic Seizures
TLDR
In five patients with 3–24 seizures, it is found that over 90% of the seizures are predictable by the optimal selection of electrode sites, and the possibility of prediction of epileptic seizures well in advance is shown. Expand
Is it possible to anticipate seizure onset by non-linear analysis of intracerebral EEG in human partial epilepsies?
TLDR
Recent findings from nonlinear time series analysis of intracranially recorded EEG that may allow to forecast seizure onset in patients with partial epilepsy are presented. Expand
Reduced signal complexity of intracellular recordings: a precursor for epileptiform activity?
TLDR
In xanthine and penicillin models, signal complexity in intracellular recordings was reduced before manifestation of paroxysmal depolarization shifts (PDS), whereas a preceding loss of complexity was missing in low-magnesium and veratridine models, indicating that interictal-like EA is predictable only in some epilepsy models. Expand
Does interictal spiking change prior to seizures?
TLDR
In patients with intractable epilepsy, no changes in spiking occur in the 5 min prior to seizures, when compared to more distant preictal epochs, according to a dedicated computerized system. Expand
Fractal dimension characterizes seizure onset in epileptic patients
  • R. Esteller, G. Vachtsevanos, +6 authors B. Litt
  • Medicine, Computer Science
  • 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)
  • 1999
We present a quantitative method for identifying the onset of epileptic seizures in the intracranial electroencephalogram (IEEG), a process which is usually done by expert visual inspection, oftenExpand
...
1
2
3
4
5
...