A Software Model for Mapping Negative Epilepsy Network in Brain

Tech ID: 20B173

Competitive Advantages

  • A non-invasive method that improves the chances of the cure of epilepsy
  • Increases the efficacy of surgery by generating a negatively correlated epilepsy model which represents a protective anti-seizure network to be preserved in the surgery
  • This software algorithm needs readily available on the desk equipment to produce the model

 

Summary

Researchers at the University of South Florida have developed a software algorithm model that could help surgeons in successful epilepsy surgery resulting in seizure freedom in patients. As per recent research, Epilepsy surgery is ineffective in as many as 1/3 of patients, and people who do not improve after surgery have a seizure network that is distributed across the brain and resistant to disconnection. This non-invasive technique performed with the help of on-the-desk equipment can generate a model of the negatively correlated epilepsy network which represents a protective anti-seizure network that needs to be preserved in surgery, as protection of the network may help to increase the efficacy of surgery. It is a beneficial network that inhibits seizure propagation and supports the functional networks involved in memory and executive function. This software algorithm automatically maps the negatively correlated epilepsy network using non-invasive surface electroencephalography and resting state functional MRI in a way that has never been done before.

Mapped regions (green) represent seizure-free network

 

Desired Partnerships

  • License
  • Sponsored Research
  • Co-Development

 

 

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