Personalized Contingent Neurostimulation for Epilepsy by Machine Learning in Organic Brain Interfaces

点击翻译按钮获取中文摘要

Epilepsy is a chronic, neurological condition characterized by unpredictable, disabling seizures. This devastating disorder increases mortality by 4 times and depression by 2 times population rates. Unfortunately, epilepsy is extremely common, affecting 1 in 100 people, and in 33% of cases, medications do not prevent seizures. An emerging technology to aid such patients with drug-resistant epilepsy is contingent neurostimulation devices. These devices are implanted in a patient so that they can detect epileptiform activity and electrically stimulate the nervous system to prevent/abort seizures. Recently, two commercial contingent neurostimulators have been approved for treating epilepsy. These devices have proven successful at reducing seizure activity, however their efficacy is low. In particular, they are very unlikely to produce seizure freedom, which is necessary to restore patient independence and quality of life. The primary reasons why existing neurostimulation devices have had such limited success are that: (a) they use rudimentary (sparse and large) electrodes that poorly interface with the brain and (b) they are extremely simplistic in their seizure detection and abortion capabilities due to the use of basic electronics as constrained by energy limitations of an implant. We propose to combine (a) the far superior brain-interfacing electrode technology from our partner Panaxium and (b) our energy-efficient state-of-the-art implantable electronic circuits that employ artificial intelligence for optimal seizure prediction and prevention - to greatly improve the seizure-freedom efficacy of the neuromodulation therapy for intractable epilepsy. Our team is uniquely well qualified for this project. It is led by an expert in low-power biomedical and computational electronics (Genov), an epilepsy neurosurgeon and an expert in brain neurophysiology (Valiante), and Panaxiums Technology Commercialization Leader and a 20-year industry veteran (Weinroth).