Project description
An open-source tool for high-resolution brain imaging
Electroencephalography (EEG) is a key non-invasive technique for capturing brain electrical activity, crucial for diagnosing epileptic seizures and advancing brain-computer interfaces. A major challenge in EEG imaging is solving efficiently the so-called inverse problem: determining the distribution of electrical activity in the brain based on the EEG measurements from the scalp. The ERC-funded TurboEEG project aims to address this by developing an open-source EEG imaging tool that reduces computational complexity and drastically improves speed and accessibility. This innovation will make high-resolution EEG technology more affordable and widely available for training and brain research.
Objective
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.
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 solving an inverse source problem, in turn requiring several solutions of the EEG forward problem. The imaging of the brain currents is what makes the standard EEG readings into high resolution EEG brain imaging.
Lamentably, the standard EEG forward problem has cubical computational complexity resulting in an eight times 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.
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 obtaining and distributing the first existing EEG open source package that will solve the EEG imaging problem in linear complexity, speeding up standard EEG imaging of orders of magnitude and making high resolution EEGs widely available and cheap.
Since EEG source imaging is what translate a standard EEG device into an high resolution one, the new open source tool will have a substantial impact on society by making available high resolution EEG technology in environments where top computational power is not available, such as small hospitals, ambulatories, schools and universities. The new open-source tool will in fact also have a substantial impact on education, professional training, and brain research.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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)
MAIN PROGRAMME
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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.
Funding Scheme
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.
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-2024-POC
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10129 Torino
Italy
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