Project description
Waking up to sleep-related brain discharges
Sleep is a critical time for brain function, yet it can also be a period of disruption due to interictal epileptic discharges (IEDs). These abnormal brain activities manifest as sharp spikes in electrical field potentials, predominantly occurring during deep sleep. In addition to epilepsy, IEDs are associated with several neuropsychiatric conditions, complicating diagnosis and treatment. Detecting these discharges in challenging regions like the medial temporal lobe (MTL) has long been deemed virtually impossible. With this in mind, the ERC-funded InterictalSleepDetct project has developed a novel machine learning-based tool that can non-invasively identify MTL IEDs with remarkable precision. This groundbreaking advancement aims to enhance diagnosis and treatment options across various neurological conditions.
Objective
Interictal epileptic discharges (IEDs) are pathological brain activities involving sharp spikes in electrical field potentials that occur preferentially during sleep. In epilepsy, IEDs occur between seizures, and often in deep brain regions such as the medial temporal lobe (MTL).IEDs during sleep disrupt memory and are associated with cognitive impairments. Importantly, MTL IEDs occur not only in epilepsy but also in multiple neuropsychiatric conditions including Alzheimers Disease (AD), Autism, ADHD, and following traumatic brain injury (TBI). A major unmet need is to automatically detect sleep IEDs non-invasively when they occur in deep regions such as the MTL, a task that was believed to be nearly impossible until now. We recently developed a novel machine learning-based tool to reliably detect a subset of MTL IEDs non-invasively with high precision. For the first time, IEDs originating in the MTL can be detected even when gold-standard visual inspection by clinical neurologists is impossible. We will first conduct research to optimize and validate IED detection in epilepsy patients, and in mild cognitive impairment (MCI) and AD patients. We will then work to commercialize the tool so that it can be widely used to improve diagnosis, prognosis, drug titration, and risk-stratification not only in epilepsy and dementia, but in diverse neurological conditions including TBI, ADHD, Autism, and psychiatric disorders. Together with the technology transfer office of TAU and with business partners already on board we will work to consolidate and extend the systems patent family and bring our detection tool to the market.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences basic medicine neurology epilepsy
- medical and health sciences basic medicine neurology dementia alzheimer
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2023-POC
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69978 Tel Aviv
Israel
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