Epilepsy has many possible causes, including illness, brain injury, and abnormal brain development. In many cases, the cause is unknown.

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Anyone can develop epilepsy, but it’s more common in young children and older adults. It occurs slightly more in males than in females.
The new research is published in leading scientific journal, PLOS Computational Biology on August 17 2017.
Epilepsy, which affects around 1 in 100 people worldwide, is predominantly treated by a range of medications. However, in around a third of cases people do not experience adequate seizure control through drugs and alternative therapies are sought. In some instances surgery is an option, however long-term seizure freedom is only achieved in around 50% of cases.
In their latest research the team used statistical methods to determine how different regions were connected from the electrical recordings of the brain. They then used advanced mathematical modelling to study which regions of the brain contribute most greatly to generating seizures and whether their removal would result in the brain being seizure free. The idea being that if brain surgeons targeted these regions the outcome of surgery would be enhanced.
Dr Marinho Lopes, a Research Fellow at the University of Exeter funded by the Medical Research Council and lead author of the research said: "What is truly exciting about our findings is that common network forms appear to underpin the generation of seizures and we can now identify the specific brain regions involved in forming those networks for different individuals providing optimised surgical strategies."
The researchers then demonstrated mathematically that targeting these "rich-clubs" through removing well connected nodes would result in fewer seizures occurring. Returning to the clinical data they found evidence to support their mathematical observations: when surgery removed a greater proportion of the 'rich-club', people experienced fewer or no seizures long-term.
An optimal strategy for epilepsy surgery: Disruption of the rich-club? Is published in PLOS Computational Biology.
Source-Eurekalert
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