Nav: Home

Crowdsourcing algorithms to predict epileptic seizures

August 08, 2018

A study by University of Melbourne researchers reveals clinically relevant epileptic seizure prediction is possible in a wider range of patients than previously thought, thanks to the crowdsourcing of more than 10 000 algorithms worldwide.

In 2016 researchers ran the Melbourne University AES-MathWorks-NIH Seizure Prediction Challenge on the online data science competition platform Kaggle.com.

The contest focused on seizure prediction using long-term electrical brain activity recordings from humans obtained in 2013 from the world-first clinical trial of the implantable NeuroVista Seizure Advisory System. Researchers rigorously evaluated the top algorithms and these findings are detailed in research published today in Brain: A Journal of Neurology.

University of Melbourne Dr Levin Kuhlmann, from the Graeme Clarke Institute and St Vincent's Hospital Melbourne, said the contest was a huge success, with more than 646 participants, 478 teams and more than 10 000 algorithms submitted from around the world.

"Epilepsy affects 65 million people worldwide," Dr Kuhlmann said. "We wanted to draw on the intelligence from the best international data scientists to achieve advances in epileptic seizure prediction performance for patients whose seizures were the hardest to predict."

Contestants developed algorithms to distinguish between 10-minute inter-seizure verses pre-seizure data clips and the top algorithms were tested on the patients with the lowest seizure prediction performance based on previous studies.

"Our evaluation revealed on average a 90 per cent improvement in seizure prediction performance, compared to previous results," Dr Kuhlmann said.

"Epilepsy is highly different among individuals. Results showed different algorithms performed best for different patients, supporting the use of patient-specific algorithms and long-term monitoring."

Building on this success, researchers have developed Epilepsyecosystem.org, an online ecosystem for algorithm and data sharing to further develop and improve seizure prediction.

"Accurate seizure prediction will transform epilepsy management by offering early warnings to patients or triggering interventions," Dr Kuhlmann said.

"Our results highlight the benefit of crowdsourcing an army of algorithms that can be trained for each patient and the best algorithm chosen for prospective, real-time seizure prediction.

"It's about bringing together the world's best data scientists and pooling the greatest algorithms to advance epilepsy research. The hope is to make seizures less like earthquakes, which can strike without warning, and more like hurricanes, where you have enough advance warning to seek safety."
-end-
The research was led by the Graeme Clark Institute of Biomedical Engineering, in collaboration with St. Vincent's Hospital Melbourne, Swinburne University of Technology, Mayo Clinic, Perelman School of Medicine at the University of Pennsylvania and Seer Medical.

University of Melbourne

Related Seizures Articles:

Epilepsy: Seizures not forecastable as expected
Epileptic seizures can probably not be predicted by changes in brain wave patterns that were previously assumed to be characteristic precursors.
Predicting epileptic seizures might be more difficult than previously thought
By studying the brain dynamics of 28 subjects with epilepsy, scientists demonstrated there is no evidence for a previously suspected warning sign for seizures known as 'critical slowing down,' which refers to characteristic changes in the behavior of a complex system that approaches a theoretical tipping point; when this point is exceeded, there can be impactful and devastating changes.
Gene protective against fruit fly heat-induced seizures may explain some human seizures
Researchers identified a gene in fruit flies that helps prevent the hyperexcitability of specific neurons that trigger seizures.
Rethinking seizures associated with cardiac disease
Research from Washington University in St. Louis finds that mutations of a gene implicated in long QT syndrome in humans may trigger seizures because of their direct effects on certain classes of neurons in the brain -- independent from what the genetic mutations do to heart function.
UTSA reduces seizures by removing newborn neurons
Epileptic seizures happen in one of every 10 people who have experienced a traumatic brain injury (TBI).
Reducing seizures by removing newborn neurons
Removing new neurons born after a brain injury reduces seizures in mice, according to new research in JNeurosci.
Inducing seizures to stop seizures
Surgery is the only way to stop seizures in 30 per cent of patients with focal drug-resistant epilepsy.
New research could help predict seizures before they happen
A new study has found a pattern of molecules that appear in the blood before a seizure happens.
New drug could help treat neonatal seizures
A new drug that inhibits neonatal seizures in rodent models could open up new avenues for the treatment of epilepsy in human newborns.
Parents reassured febrile seizures following vaccination not dangerous
New University of Sydney research finds that febrile seizures after vaccination are rare, not serious and are no different to febrile seizures due to other causes such as from a virus.
More Seizures News and Seizures Current Events

Best Science Podcasts 2019

We have hand picked the best science podcasts for 2019. Sit back and enjoy new science podcasts updated daily from your favorite science news services and scientists.
Now Playing: TED Radio Hour

Rethinking Anger
Anger is universal and complex: it can be quiet, festering, justified, vengeful, and destructive. This hour, TED speakers explore the many sides of anger, why we need it, and who's allowed to feel it. Guests include psychologists Ryan Martin and Russell Kolts, writer Soraya Chemaly, former talk radio host Lisa Fritsch, and business professor Dan Moshavi.
Now Playing: Science for the People

#538 Nobels and Astrophysics
This week we start with this year's physics Nobel Prize awarded to Jim Peebles, Michel Mayor, and Didier Queloz and finish with a discussion of the Nobel Prizes as a way to award and highlight important science. Are they still relevant? When science breakthroughs are built on the backs of hundreds -- and sometimes thousands -- of people's hard work, how do you pick just three to highlight? Join host Rachelle Saunders and astrophysicist, author, and science communicator Ethan Siegel for their chat about astrophysics and Nobel Prizes.