Summary
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 Alzheimer’s 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 system’s patent family and bring our detection tool to the market.
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101158226 |
| Start date: | 01-04-2024 |
| End date: | 30-09-2025 |
| Total budget - Public funding: | - 150 000,00 Euro |
Cordis data
Original description
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 Alzheimer’s 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 system’s patent family and bring our detection tool to the market.Status
SIGNEDCall topic
ERC-2023-POCUpdate Date
24-11-2024
Images
No images available.
Geographical location(s)
