Leland Stanford Junior University

Izumi Toyoda

Mark R Bower

Dorian Aur

Paul Buckmaster

A prediction and stimulation system or method is provided for neurological disorders characterized by a local dysfunction in neuronal activity regulation. An array of electrodes detects neuronal electrical activity of selected brain region. A detection module detects in each electrode changes in electric field and neuronal activity. A prediction module predicts for each electrode abnormal regimes determined by neurological disorder. A neuromodulation module interfaced with the electrodes selects one or more electrodes in the array where a predefined threshold has been exceeded and stimulates the brain region through each of these selected electrodes using an intermittent therapeutic stimulation pattern with a frequency between 150 and 200 Hz. The provided therapy allows for seizure prediction and detection with high accuracy, potential low risk and increased battery life. The flexibility of the method and system allows it to be used in different neurological disorders by tuning the parameters using a calibration procedure.

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Palo Alto, CA, United States of America

Izumi Toyoda