Epileptic seizures were found not to be predicted by changes in brain wave patterns, stated new study.
Epileptic seizures were found not to be predicted by changes in brain wave patterns, said University of Bonn scientists. The results are now published in the journal "Chaos: An Interdisciplinary Journal of Nonlinear Science". The consequences are dramatic muscle spasms and loss of consciousness, which can be life-threatening. Many researchers assume that the brain has crossed a so-called "tipping point", which almost inevitably leads to a seizure.
The lead-up to this tipping point is supposedly heralded by characteristic changes in brain waves - so says a common hypothesis. According to this theory, nerve cell networks reproduce their own activity when close to this point: The brain waves they produce are very similar to previous ones.
At the same time, they react to disturbances with much stronger discharges than normal. Additionally, it takes longer for their activity to normalize. "We call this 'critical slowing down', CSL for short," explains Prof. Dr. Klaus Lehnertz from the Department of Epileptology at the University Hospital Bonn.
Together with his former colleague Theresa Wilkat and his doctoral student Thorsten Rings, the physicist searched for such CSL events. For this purpose, the researchers analyzed brain wave recordings of 28 subjects with epilepsies that could not be treated with medication. Measurements were taken using electrodes implanted at various sites in the subjects' brains. "This is for diagnostic purposes, for example, to identify the site from which the seizures originate," explains Lehnertz.
Unsuitable as an early warning system
The subjects had up to 70 sensors each in their brains. The scientists analyzed each individual EEG curve recorded by the sensors using sophisticated statistical methods. "We not only considered the hours before an attack, but also looked at a period of up to two weeks," Wilkat explains.
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Epileptic seizures usually strike like a bolt from the blue, which significantly impacts the daily lives of those affected. For example, sufferers are not allowed to drive a car or carry out certain activities with a high risk of injury. Epileptologists, physicists and mathematicians have therefore been trying to predict the dangerous malfunctions of the brain for more than three decades - so far with mixed success: There certainly are systems that can detect seizure precursors (using indicators other than "critical slowing down"), but at present they work only for about half of the subjects and are not particularly reliable. They can not recognize every precursor of a seizure and are also prone to false alarms.
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Source-Eurekalert