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Implantable device to treat epilepsy

Diagnostic and preventative implantable device with computer-brain interface for treatment of epilepsy.

 

Problem: 

One percent of the world’s population suffers from epilepsy. Aside from seizures’ debilitating effects, patients are confined by their unpredictability. Prevention is one way to decrease seizures, but measures usually focus on only a single parameter such as high-frequency oscillations.

 

Drug treatment or surgery is used to curb seizures. Implantable devices that detect and administer drugs are increasingly sought out as treatment options for epilepsy. However, these devices are limited; they only activate at the start of a seizure and deliver a uniform dose regardless of the seizure’s severity, which can result in a delay in treatment or over-medication.

 

Solution: 

To address the limitations of these devices, the Litt Lab combined a closed responsive system with an implantable device that uses multi-level, closed loops: 

  • One system identifies and maps epileptic networks; 
  • Another predicts epileptic seizure onsets;
  • A third system allows the device to distinguish seizure severity to deliver the appropriate dosage and adjust other treatment parameters; and 
  • Lastly, another system incorporates these inputs to optimize and adjust the device parameters and therapeutic dose. 

The data is collected rapidly and is of high spatial and temporal resolution. Use of biologically compatible components for the device ensures long term stability and safety.

 

Inventor: 

Brian Litt, MD, Department of Neurology

  

Advantages: 

  • Combines multiple features through machine learning algorithms
  • Anticipates and treats mild brain disturbances; prevents more severe seizures that require larger drug doses
  • Map, monitor and manage epileptic network

 

Stage of Development: 

  • Analyzed data from 7 patients with temporal lobe epilepsy
  • Based algorithms on quantitative analysis from 9 patients with neocortical epilepsy and two control patients
  • Validated seizure prediction over two workshop patients
  • Over 31,000 channel-hours of intracranial electroencephalographic (iEEG) recordings from micro- to macroelectrode recordings
  • Prototype device and method tested in patients

Intellectual Property: 

  • U.S. Patent 7,146,218
  • U.S. Patent 6,594,524
  • U.S. Patent 8,065,011
  • U.S. Patent 6,678,548
  • U.S. Patent 7,333,851
  • U.S. Patent 8,150,522

Reference Media: 

Videos 

Articles 

 

Desired Partnerships: 

  • License
  • Collaboration

Docket # N2412, N2413 + T4357