The social and economic burden of brain-related disorders is larger than that of cancer and cardiac disease combined. While neuromodulation has been proven to be effective at the research level to treat many neurological, psychiatric and sensory conditions, commercial devices offer relatively poor longevity and limited rates of efficacy.
Epilepsy is one of the most common neurological conditions, affecting approximately 1% of the world population. For 1/3 of patients, drugs are ineffective. It has been medically proven that surgery is the best option for most of these patients. However, only 3,000 epilepsy surgeries are conducted each year in the US, representing 0.1% of epilepsy sufferers. One of the reasons is the lack of high quality data available from the older generation of sensor technologies. In addition, 25% of patients who start the diagnostic process do not proceed to surgery, partly due to risky surgeries.
Neuraura’s electrodes are significantly smaller than older generation electrodes. They include:
Cortical electrodes: grid and strip
Subdural electrodes: depth electrodes with anchor bolts
Hybrid electrodes: novel design combining cortical microstrips with depth electrode
Neuraura’s electrodes will improve quality of life, reduce clinician burden and healthcare costs:
Lower re-occurrence of seizures by locating their origin(s) more accurately and effectively
Targeted and precise epileptic tissue removal based on higher quality data
Faster recovery times and better outcomes due to minimally invasive surgical techniques
Wireless EEG Monitoring
Neuraura’s wireless EEG will:
Improve Patient Experience
Allow the option for portable care in or out of the hospital
Reduce surgical recovery time
Reduce hospital stay and health care costs
Neuraura’s visualization software will be a 3D map of the patient’s brain based on their combined EEG and MRI data sets.
Neuraura’s data visualization will reduce clinician burden as a results of fewer clinician hours to review data due to improved fidelity and 3D visualization of patient's brain .The unique data captured will provide more customized treatment for epileptic patients while also providing invaluable information towards neuromodulation applications.