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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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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Congratulations to Michal & Karolina on the arrival of Tomasz Kucewicz
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.
PREFERENCE FOR INDIVIDUALS WITH THE FOLLOWING Skills:
LICENSURE/CERTIFICATION/REGISTRATION: None required.