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Non-invasive Epilepsy Source Imaging with EEG, MRI and Software

Technology #20100103

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Non-invasive Epilepsy Source Imaging with EEG, MRI and SoftwareIntracranial Electroencephalography Epilepsy Source Imaging
Dr. Bin He, Distinguished McKnight University Professor, Department of Biomedical Engineering, College of Science and Engineering
Dr. He's major research interests are in the field of neuroengineering and biomedical imaging. Together with his co-workers, he has made significant contributions to the development of electrophysiological functional imaging, multimodal imaging, and neuroengineering. Dr. He and colleagues have pioneered the introduction of concept and methods in anatomically-constrained electrophysiological neuroimaging with the aid of the boundary element method, the development of Laplacian electrocardiography, the introduction and development of magnetoacoustic tomography with magnetic induction, and the development of EEG seizure imaging. He and his co-workers have also made significant contributions to the development of 3-dimensional continuous brain-computer interface from noninvasive EEG, and the development of multimodal functional neuroimaging methodologies integrating functional MRI with electromagnetic source imaging. Dr. He's research programs are funded by NIH, NSF, and the state of Minnesota among other sponsors.
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PCT Patent Application WO2011088227A1

Non-invasive Source Imaging and Brain Mapping for Seizure Localization

This neuroimaging method for seizure source imaging and brain mapping uses high-density EEG and magnetic resonance imaging (MRI) to localize the source. Independent component analysis is used to decompose the data into independent spatial temporal components. The spatial decomposition, together with the time series data, helps segregate the sources of brain activity into separate time and space domains with minimal mutual interference from other activated regions, essentially leading to accurate source imaging.

This method could both decrease cost and morbidity of seizure source imaging, eventually becoming the new gold standard for the 45,000 new refractory seizure patients each year. The software, combined with standard, non-invasive, high-density EEG will both identify candidates for surgical resection and provide source imaging for surgical planning. The algorithms implemented in software have been developed and validated on patients.

MN-IP Try and Buy
  • Trial period 6 to 12 months. $5000/6 months.
  • Fee waived if MN operating company or if sponsoring $50,000+ in research.
  • Exclusive software license for a $15,000 conversion payment.
  • U.S. patent expenses due when issued.
  • 1.5% royalty after $1 million in product sales. 1.0% for MN companies.

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** Contact Kevin Anderson for specific details. **

Replaces Risky Invasive Neuroimaging Required for Epilepsy Surgery

Seizures currently affect 40 million people worldwide. Of the roughly 200,000 new epilepsy diagnoses in the US every year, around 45,000 are refractory patients for which drug treatments are ineffective. For these patients surgery is the most effective form of treatment (it can lead to complete seizure freedom), but it requires accurate seizure source localization. Intracranial electroencephalography (iEEG) is currently the gold standard for seizure source imaging and brain mapping prior to epilepsy surgery. However, this method is limited by the discomfort it causes patients and the high morbidity it presents. Additionally, patients may undergo this invasive and risky procedure only to learn that they are not candidates for surgery.


  • Decreased risk compared to iEEG neuroimaging
  • Reduced OR and ICU time for the patient
  • Greatly decreased cost per patient for seizure source imaging
  • Compatible with high-density EEG systems already in use
  • Avoids unnecessary invasive procedures for patients who are deemed not suitable for epilepsy surgery