Seizure prediction - ready for a new era
Levin Kuhlmann1,2,3, Klaus Lehnertz4,5, Mark P Richardson6
1Centre for Human Psychopharmacology, Swinburne University of Technology, Melbourne, Victoria, Australia.
Nature Reviews. Neurology
|August 23, 2018
Summary
Predicting epileptic seizures is now more feasible due to advances in electroencephalogram (EEG) data, prediction algorithms, and real-time devices. This progress paves the way for developing technologies to forecast seizures and reduce patient unpredictability.
Area of Science:
- Neurology
- Biomedical Engineering
- Data Science
Background:
- Epilepsy is a neurological disorder marked by unpredictable seizures, significantly impacting patients' quality of life.
- Over three decades of research have aimed to predict seizures, but a 2007 review found insufficient evidence for reliable prediction.
- Recent advancements offer renewed hope for developing effective seizure prediction technologies.
Purpose of the Study:
- To review recent progress in seizure prediction methodologies and technologies.
- To identify key advances including EEG databases, prediction competitions, and prospective trials.
- To propose future research directions integrating mechanisms, models, data, devices, and algorithms.
Main Methods:
- Review of recent literature and technological developments in epilepsy seizure prediction.
- Analysis of advances in electroencephalogram (EEG) data acquisition and analysis.
- Examination of prospective trials and seizure prediction competitions.
Main Results:
- Successful prospective seizure prediction has been demonstrated using intracranial EEG in real-time trials.
- Significant progress has been made in developing large-scale EEG databases and sophisticated prediction algorithms.
- Understanding of seizure mechanisms has advanced, contributing to improved prediction models.
Conclusions:
- Recent scientific and technological advances provide a strong foundation for a resurgence in seizure prediction research.
- A synergistic approach combining biological mechanisms, computational models, data, devices, and algorithms is proposed.
- Refined guidelines and new research avenues are crucial for developing solutions to mitigate seizure unpredictability.
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