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Seizure Prediction: Science Fiction or Soon to Become Reality?
Dean R Freestone1,2, Philippa J Karoly3,4, Andre D H Peterson3
1Department of Medicine, St. Vincent's Hospital Melbourne, The University of Melbourne, Fitzroy, VIC, Australia, 3065. deanrf@unimelb.edu.au.
Current Neurology and Neuroscience Reports
|September 26, 2015
Summary
Epileptic seizure prediction is achievable with advanced data acquisition. New methods offer deeper insights into neural circuits, paving the way for improved patient quality of life.
Area of Science:
- Neuroscience
- Biomedical Engineering
Background:
- Epileptic seizure prediction remains a significant challenge.
- Current prediction models are limited by insufficient data quality and quantity.
Purpose of the Study:
- To review recent advancements in epileptic seizure prediction.
- To highlight methods for acquiring more informative data beyond standard recordings.
Main Methods:
- Review of long-term data acquisition techniques.
- Analysis of electrical stimulation for probing neural excitability.
- Exploration of high-resolution micro-electrode technologies for neuroimaging.
- Discussion of data-driven model-based analyses for understanding seizure mechanisms.
Main Results:
- Long-term data acquisition improves signal characterization.
- Electrical stimulation provides robust excitability data.
- Micro-electrode arrays enable multi-scale neuroimaging.
- Model-based analyses can image seizure generation mechanisms.
Conclusions:
- Seizure prediction is feasible with enhanced data.
- A shift towards probabilistic forecasting is expected.
- Development of devices for long-term, high-quality data is crucial for clinical reality.
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