Scientists of the Human Brain Project have developed a computational tool to locate the areas in a patient’s brain where epilepsy seizures emerge. Now, the team is using EBRAINS to further boost the accuracy with high resolution brain atlas data. With a clinical trial ongoing, the approach aims to give surgeons an increasingly powerful and precise tool to support targeted surgery decisions for each patient.
Epilepsy is one of the most common neurological disorders, affecting over 50 Million people worldwide. Patients suffer from seizures caused by sudden neuronal activity engaging at times large networks of the brain. In a third of all cases the disease is resistant to drugs. The most common treatment option for these patients is surgical removal of the “epileptogenic zone”, the areas of the brain, where the seizures emerge.
“Surgery success depends on locating these areas as precisely as possible. But in clinical practice this often proves very difficult, and the average surgery success rate remains at only around 60%”, says Viktor Jirsa. Any improvement would have major impact for many patients”.
The scientist has developed a computational tool, called “The Virtual Brain” (TVB), to model and predict activity in an individual patient brain. In collaboration with the neurologist Fabrice Bartolomei, they adapted the model to epilepsy, simulating the spread of individual seizure activity. The model thus can become an additional advisory tool for neurosurgeons to help target surgeries more precisely.
A clinical trial is currently underway to evaluate the personalised brain models of TVB as a new tool for epilepsy surgery planning, with promising first results. It is important to underscore that the Virtual Brain tool is still at clinical investigating stage and is therefore not yet available to patients.
The team now works on the next generation of The Virtual Brain, which boosts the accuracy of the model further using the EBRAINS research infrastructure. The objective is to significantly scale up the potential for personalised brain representation with the help of large brain data sets from the EBRAINS Brain Atlas. This includes the most detailed 3-D representation of the brain’s anatomy, the BigBrain, at a resolution of 20 micrometers.
“Only EBRAINS allows to go to this massive scale and resolution”, Jirsa says. “Here brain data resources are made compatible and integrated with high-performance computing and informatics tools. EBRAINS enables the application of deep learning and other methods to find the configuration that most closely matches the patient’s own recordings of brain dynamics. This is an important step towards pinpointing the epileptogenic zone with greater precision.”
Katrin Amunts, Scientific Research Director of the HBP says: “The HBP’s multidisciplinary approach, gaining neuroscientific insight from the analysis of big data and neuroimaging studies, supported by brain modelling and advanced computing is a highly impactful way to advance brain research and bring innovation to patients and society.”
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