Epilepsy Foundation Awards $300,000 in Grants to Support the Commercialization of Two Novel Approaches for the Treatment of Epilepsy

The Epilepsy Foundation today announced it has awarded New Therapy Commercialization Grants totaling $300,000 to leading scientists with the goal of accelerating the development of therapies for those living with poorly controlled seizures.

Dr. Worrell was awarded $150,000 to advance his work with Cadence Neuroscience which has developed a protocol that tests a variety of electrical stimulation parameters while an individual with intractable epilepsy is undergoing phase II evaluation for surgery. Preliminary evidence suggests that this procedure can be used to tailor brain stimulation therapy to each individual and enhance seizure control compared to currently used protocols. Funds from this award will be used to develop a user-friendly workstation to allow other clinicians to personalize and optimize brain stimulation therapies for epilepsy.

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Epilepsy Foundation Awards $3 Million Grant to International Team of Scientists to Improve Seizure Forecasting

Team Aims to Enhance Prediction Capabilities by Better Understanding Changes in the Body that Induce Seizure Activity.

In the initial phase of the award, the team will evaluate biosensors that can track an individual’s physiology, behavior and environment from a range of commercially available devices. Following testing, the team will select up to three peripheral sensors to move forward for seizure forecast testing in year two. People with epilepsy will be pairing the peripheral sensors selected with their already implanted EEG recording devices. The EEG system used will depend on the recruitment site: King’s College London (UNEEG ambulatory subscalp EEG), Mayo Clinic (Medtronic RC+S intracranial device), and the Seer Medical/The University of Melbourne (Seer Medical ambulatory video EEG, SeerGP app, and subscalp EEG)*. The vision is to measure a few components along with myriad factors, and then mine the data for new clues about what happens in the body in the hours and minutes before a seizure. Once the data has been collected it will be shared with the research community through crowd-sourcing platforms to facilitate algorithm development.

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Brainstorming on Epilepsy

Epilepsy strikes without warning, when an electrical storm sweeps across the brain. Storm-chasing teams of researchers have adopted computational techniques to pinpoint and predict seizure activity.


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Brain stimulation

Epilepsy patient married and seizure-free after new treatment at Mayo Clinic.

Chris White battled epileptic seizures his entire life. After failing to find relief from any available treatments, his doctors at Mayo Clinic tried a novel approach, implanting deep brain stimulation electrodes in his brain. The results have been life-changing.

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Oxford University Press's Blog


Can electrical stimulation of the brain enhance mind?

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FIRST TEAM competition

Congratulations Michal on winning FIRST TEAM grant!

The FIRST TEAM programme supports young researchers at the key stage of their career – as they begin to build their research independence – helping them take on the most interesting research challenges. R&D research may be financed to ca. PLN 2 million for a period of three years. The grants are financed from the Smart Growth Operational Programme (PO IR).

For more information, visit the program website.


Brain stimulation

Mason City man is now virtually seizure free thanks to a new form of brain stimulation developed at Mayo Clinic.

Mayo Clinic is the only hospital using continuous cortical stimulation, and it's only been performed at Mayo around 20 times. But Chris took a leap of faith and underwent surgery where doctors placed the electrodes in May of 2016."His implant is different than a lot of other people's in that we started by initially just laying things on top of the brain, his is in the brain," explains his Neurosurgeon Jamie Van Gompel, M.D. This week Chris returned to Mayo for follow up appointments with Dr. Van Gompel and the rest of his team. He was anxious to tell them that he hasn't had a seizure since October.

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2017 MSEL Ski Trip (3/9/17-3/12/17)


2016 MSEL Ski Trip (03/18/2016 - 03/20/2016)

Combined single neuron unit activity and local field potential oscillations in a human visual recognition memory task, IEEE TBME BRAIN Initiative Special Issue (Cover), (01.2016).

neural encoding

Neural encoding of memories


AES 2015

AES 2015

Congrats to Brent on passing his doctoral qualifier
Congratulations to Brent Berry on passing his doctoral qualifier(11.10.2015).
Brent is working interictal localization of epileptic brain using wide bandwidth iEEG.
Next Generation Neuroscientist

Congratulations to Michal & Karolina on the arrival of Tomasz Kucewicz

Epilepsy Research Benefits from the Crowd

NIH Director's Blog

NIH Director's Blog
Grant Announcement

Grant Announcement

Mayo receives federal grant to develop smart devices to predict, stop seizures


Computational Neuroscience & Bioengineering

The Mayo Systems Electrophysiology Lab within the Departments of Neurology, Physiology & Biomedical Engineering at Mayo Clinic in Rochester, Minnesota has a postdoctoral position for a computational scientist interested in analysis of structural & functional imaging in epilepsy.

SUMMARY: The successful candidate will develop novel methods and algorithms for analysis of structural (MR) & functional (SPECT, PET, functional MRI) neuroimaging data in epilepsy. Our research involves computational techniques applied to multimodal imaging & electrophysiology from human & animal focal epilepsy. The successful candidate will join a team of scientists, engineers, surgeons, and clinicians investigating imaging & electrophysiological biomarkers of epilepsy.

RESPONSIBILITIES: The postdoctoral fellow will be responsible for applying image processing and machine learning techniques to structural and functional imaging modalities. The ideal candidate will develop and test hypotheses on human imaging data, and work as part of a multidisciplinary team focused on integrating multi-modal neuroimaging and wide bandwidth electrophysiology to improve localization of epileptogenic brain.

REQUIRED QUALIFICATIONS: PhD degree in mathematics, statistics, biomedical or electrical engineering, physics, or related field; experience in statistics, digital & imaging processing, machine learning, Matlab, and C programming.


  • Knowledge of computational methods applied to MRI
  • Experience and background in machine learning techniques
  • Excellent mathematical and analytical skills
  • Strong computer and programming skills (Linux, SQL, Matlab, C, C++, python)
  • Excellent written and verbal communication skills