TURBOEEG: A fast open-source brain imaging package for electroencephalography
The TurboEEG project aims to develop an open-source EEG imaging tool that reduces computational complexity to linear, making high-resolution brain imaging accessible and affordable for various settings.
Projectdetails
Introduction
Electroencephalography (EEG) from scalp potentials is a crucial non-invasive technique for imaging the electric brain activity. EEG is of primary importance in several scenarios of substantial societal impact ranging from electric characterization of epileptic seizures to the development of brain-computer interfaces.
EEG Imaging Technology
One of the key technologies in advanced EEG imaging is the source imaging/localization procedure where the volume electric current responsible for the scalp potential is obtained by solving an inverse source problem. This, in turn, requires several solutions of the EEG forward problem. The imaging of the brain currents is what transforms standard EEG readings into high-resolution EEG brain imaging.
Computational Challenges
Lamentably, the standard EEG forward problem has cubical computational complexity, resulting in an eightfold increase in computer memory and computational time every time the problem doubles in size. This substantially limits the impact of EEG imaging, especially in low-power computational systems and in social settings that cannot afford expensive computing machines.
Project Objectives
The object of the “TurboEEG” project is to radically change this paradigm. We will translate the outcomes of the ERC Consolidator Grant project “321” into the field of EEG neuroimaging by obtaining and distributing the first existing EEG open-source package that will solve the EEG imaging problem in linear complexity. This will speed up standard EEG imaging by orders of magnitude and make high-resolution EEGs widely available and affordable.
Societal Impact
Since EEG source imaging is what transforms a standard EEG device into a high-resolution one, the new open-source tool will have a substantial impact on society. It will make high-resolution EEG technology available in environments where top computational power is not accessible, such as:
- Small hospitals
- Ambulatories
- Schools
- Universities
The new open-source tool will also have a significant impact on education, professional training, and brain research.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 150.000 |
Totale projectbegroting | € 150.000 |
Tijdlijn
Startdatum | 1-1-2025 |
Einddatum | 30-6-2026 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- POLITECNICO DI TORINOpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
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 |
Enabling Unobtrusive Real-World Monitoring of Brain-Networks with Wearable Neurotechnology and Multimodal Machine LearningThe INTEGRAL project aims to develop a hybrid wearable platform combining HD-DOT and EEG for continuous brain network imaging in everyday environments, enhancing neurotechnology research and applications. | ERC Starting... | € 1.654.850 | 2025 | Details |
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 |
EpiGrid: Soft and flexible high density electrode grids for epilepsy surgeryThe project aims to develop and test flexible, high-density electrode grids for improved delineation of epileptogenic tissue during epilepsy surgery, enhancing success rates and treatment outcomes. | ERC Proof of... | € 150.000 | 2023 | Details |
Non-invasive patterned electrical neurostimulation of the retinaThis project aims to develop non-invasive trans-orbital stimulation techniques and bi-directional interfaces for retinal neurostimulation to enhance artificial vision in patients with retinal degenerative diseases. | ERC Advanced... | € 2.500.000 | 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.
Enabling Unobtrusive Real-World Monitoring of Brain-Networks with Wearable Neurotechnology and Multimodal Machine Learning
The INTEGRAL project aims to develop a hybrid wearable platform combining HD-DOT and EEG for continuous brain network imaging in everyday environments, enhancing neurotechnology research and applications.
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.
EpiGrid: Soft and flexible high density electrode grids for epilepsy surgery
The project aims to develop and test flexible, high-density electrode grids for improved delineation of epileptogenic tissue during epilepsy surgery, enhancing success rates and treatment outcomes.
Non-invasive patterned electrical neurostimulation of the retina
This project aims to develop non-invasive trans-orbital stimulation techniques and bi-directional interfaces for retinal neurostimulation to enhance artificial vision in patients with retinal degenerative diseases.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
an electric Contrast medium for computationally intensive Electroencephalographies for high REsolution BRain imaging withOut skull trepanationCEREBRO aims to develop the first non-invasive EEG contrast medium to enhance scalp EEG resolution, achieving brain imaging accuracy comparable to invasive methods. | EIC Pathfinder | € 2.498.688 | 2022 | Details |
AEGEUS - A Novel EEG Ultrasound Device for Functional Brain Imaging and NeurostimulationDevelop a novel wearable device combining ultrasound imaging and EEG for enhanced diagnosis and treatment of neurological disorders, aiming for improved patient outcomes and research advancements. | EIC Pathfinder | € 2.998.988 | 2023 | Details |
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 |
“EEG-based DIagnosis Support solutiON” (EDISON) to help close the epilepsy diagnosis gap in Low- and Middle-Income Countries (LMICs) by combining low CAPEX and AI-guided capture with telemedicineBrainCapture is developing an affordable EEG-based diagnosis service for epilepsy in LMICs, utilizing mobile technology and AI for remote analysis by neurologists to improve access to care. | EIC Accelerator | € 2.078.428 | 2022 | Details |
EEGX2Dit project ontwikkelt een softwaretool voor vroegtijdige dementiedetectie via EEG-analyse, gebruikmakend van goedkope hardware en geavanceerde algoritmes, in samenwerking met zorginstellingen. | Mkb-innovati... | € 120.943 | 2023 | Details |
an electric Contrast medium for computationally intensive Electroencephalographies for high REsolution BRain imaging withOut skull trepanation
CEREBRO aims to develop the first non-invasive EEG contrast medium to enhance scalp EEG resolution, achieving brain imaging accuracy comparable to invasive methods.
AEGEUS - A Novel EEG Ultrasound Device for Functional Brain Imaging and Neurostimulation
Develop a novel wearable device combining ultrasound imaging and EEG for enhanced diagnosis and treatment of neurological disorders, aiming for improved patient outcomes and research advancements.
MEEG – Mobile Elektro-EncefaloGram
Dit project onderzoekt de haalbaarheid van een mobiel EEG-systeem voor snelle diagnose van hersenaandoeningen in ambulances.
“EEG-based DIagnosis Support solutiON” (EDISON) to help close the epilepsy diagnosis gap in Low- and Middle-Income Countries (LMICs) by combining low CAPEX and AI-guided capture with telemedicine
BrainCapture is developing an affordable EEG-based diagnosis service for epilepsy in LMICs, utilizing mobile technology and AI for remote analysis by neurologists to improve access to care.
EEGX2
Dit project ontwikkelt een softwaretool voor vroegtijdige dementiedetectie via EEG-analyse, gebruikmakend van goedkope hardware en geavanceerde algoritmes, in samenwerking met zorginstellingen.