Objective
Electroencephalography (EEG) from scalp potentials has affirmed itself as one of the primary non-invasive techniques to map and study the brain electric activity. EEG imaging is of crucial importance in the electric characterization of epileptic seizures. This is especially true for patients affected by focal epilepsy, when source characterization and localization is a key step of a pre-surgical protocol that precedes the removal of the patient’s brain area that shows an abnormal electric activity.
This project will investigate innovative tools for solving the EEG neuroimaging problem that will sensibly advance the EEG’s state of the art by: (i) Investigating a new Boundary Element solver for the direct EEG problem that will combine the benefits of Finite and Boundary Element approaches, currently used in literature, without sharing their deficiencies. (ii) Developing the first EEG direct problem solution tool providing non-iterative (direct inverse) solutions in linear time. (iii) Interfacing the new solver with the most advanced inverse scattering algorithms and designing the complete neuroimaging tool in order to efficiently work on low-cost GPU hardware accelerators. This will make available very high definition and potentially real-time EEGs even in low-budget medical environments. (iv) Pursuing an optimization study (made possible by the new technology developed in i-iii) of the density and placement of EEG electrodes with high electrode numbers and in the presence of very high resolution head models.
The impact of the novel technology developed in this project will be demonstrated by a thorough analysis in both canonical and real case scenarios rising from the medical practice. After the completion of this project the newly developed EEG neuroimaging tool will be made available for the benefit of the scientific community and of the EU citizenship.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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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.
Topic(s)
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.
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2011-CIG
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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.
MC-CIG - Support for training and career development of researcher (CIG)
Coordinator
91120 Palaiseau
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.