Non-invasive detection of interictal epileptiform discharges (IEDs) in the mesial temporal lobe (MTL) during sleep
Develop a machine learning tool for non-invasive detection of interictal epileptic discharges in deep brain regions to enhance diagnosis and treatment across various neurological conditions.
Projectdetails
Introduction
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).
Impact on Memory and Cognition
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
- Following traumatic brain injury (TBI)
Need for Detection
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.
Development of Detection Tool
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.
Research and Commercialization
We will first conduct research to optimize and validate IED detection in:
- Epilepsy patients
- Mild cognitive impairment (MCI) patients
- Alzheimer’s Disease (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.
Collaboration and Patent Strategy
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.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 150.000 |
Totale projectbegroting | € 150.000 |
Tijdlijn
Startdatum | 1-4-2024 |
Einddatum | 30-9-2025 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- TEL AVIV UNIVERSITYpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Epilepsy Treatment Using Neuromodulation by Non-Invasive Temporal Interference StimulationThe EMUNITI project aims to develop a non-invasive, personalized brain stimulation device using temporal interference to diagnose and treat epilepsy, enhancing patient care and outcomes. | ERC Consolid... | € 1.996.925 | 2023 | Details |
Deep Brain Neuromodulation using Temporal Interference Magnetic StimulationDevelop a non-invasive tool using temporal interference magnetic stimulation for precise modulation of neural activity in the brain, aiming to improve treatment options for brain disorders. | ERC Proof of... | € 150.000 | 2022 | Details |
NEurological MEchanismS of Injury, and Sleep-like cellular dynamicsNEMESIS aims to restore normal brain function in focal disorders through circuit-based stimulation and modeling of network abnormalities to improve patient outcomes. | ERC Synergy ... | € 9.927.253 | 2023 | Details |
A tool to detect cognitive abnormalities in the first year of life based on electroencephalography (EEG)The babylearn project aims to develop an EEG-based tool for early assessment of cognitive functions in infants, enhancing diagnosis and support for at-risk populations like premature babies. | ERC Proof of... | € 150.000 | 2023 | Details |
Tracking memory during sleep: understanding how re-play of complex information affects memory and mental healthThis project aims to harness sleep's memory processing to develop innovative therapies for mental disorders using advanced neuro-scientific methods and behavioral paradigms. | ERC Consolid... | € 1.984.125 | 2025 | Details |
Epilepsy Treatment Using Neuromodulation by Non-Invasive Temporal Interference Stimulation
The EMUNITI project aims to develop a non-invasive, personalized brain stimulation device using temporal interference to diagnose and treat epilepsy, enhancing patient care and outcomes.
Deep Brain Neuromodulation using Temporal Interference Magnetic Stimulation
Develop a non-invasive tool using temporal interference magnetic stimulation for precise modulation of neural activity in the brain, aiming to improve treatment options for brain disorders.
NEurological MEchanismS of Injury, and Sleep-like cellular dynamics
NEMESIS aims to restore normal brain function in focal disorders through circuit-based stimulation and modeling of network abnormalities to improve patient outcomes.
A tool to detect cognitive abnormalities in the first year of life based on electroencephalography (EEG)
The babylearn project aims to develop an EEG-based tool for early assessment of cognitive functions in infants, enhancing diagnosis and support for at-risk populations like premature babies.
Tracking memory during sleep: understanding how re-play of complex information affects memory and mental health
This project aims to harness sleep's memory processing to develop innovative therapies for mental disorders using advanced neuro-scientific methods and behavioral paradigms.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
MEEG – Mobile Elektro-EncefaloGramDit project onderzoekt de haalbaarheid van een mobiel EEG-systeem voor snelle diagnose van hersenaandoeningen in ambulances. | Mkb-innovati... | € 20.000 | 2023 | Details |
SEIZE.SENSEHet project ontwikkelt een innovatief draagbaar apparaat voor realtime epilepsiedetectie, gericht op het verbeteren van patiëntenzorg en veiligheid. | Mkb-innovati... | € 117.810 | 2021 | Details |
S4E-platform: Simulaties en Signaaldetectie voor EpilepsieHet project ontwikkelt een AI-platform (S4E) voor het voorspellen van epilepsiesubtypes via hersensimulaties en fNIRS, om diagnostiek en behandeling te verbeteren. | Mkb-innovati... | € 331.450 | 2023 | Details |
Non-invasieve epilepsieaanval detectieLivAssured en Momo Medical ontwikkelen een non-contact oplossing voor het detecteren van epilepsieaanvallen in bed, gericht op kwetsbare patiënten, om tijdige alarmmeldingen te faciliteren. | Mkb-innovati... | € 156.030 | 2020 | Details |
Supporting Cognitive Functions in epileptic patients using transcranial current stimulationHet project ontwikkelt een draagbare TCS-technologie om cognitieve functies bij epileptische patiënten te ondersteunen en achteruitgang te voorkomen. | Mkb-innovati... | € 20.000 | 2022 | Details |
MEEG – Mobile Elektro-EncefaloGram
Dit project onderzoekt de haalbaarheid van een mobiel EEG-systeem voor snelle diagnose van hersenaandoeningen in ambulances.
SEIZE.SENSE
Het project ontwikkelt een innovatief draagbaar apparaat voor realtime epilepsiedetectie, gericht op het verbeteren van patiëntenzorg en veiligheid.
S4E-platform: Simulaties en Signaaldetectie voor Epilepsie
Het project ontwikkelt een AI-platform (S4E) voor het voorspellen van epilepsiesubtypes via hersensimulaties en fNIRS, om diagnostiek en behandeling te verbeteren.
Non-invasieve epilepsieaanval detectie
LivAssured en Momo Medical ontwikkelen een non-contact oplossing voor het detecteren van epilepsieaanvallen in bed, gericht op kwetsbare patiënten, om tijdige alarmmeldingen te faciliteren.
Supporting Cognitive Functions in epileptic patients using transcranial current stimulation
Het project ontwikkelt een draagbare TCS-technologie om cognitieve functies bij epileptische patiënten te ondersteunen en achteruitgang te voorkomen.