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 programme’s 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