Objective
This project aims at predicting early cognitive decline using a neurofeedback performance endophenotype based on realtime functional magnetic resonance imaging in a population at risk for Alzheimer’s Disease (AD). It has been proven that AD biomarkers change decades before the development of symptoms. In addition, there is a lack of robust hypersensitive methods capable of predicting impending cognitive decline in healthy subjects at risk. This constitutes a crucial obstacle for the implementation of AD prevention trials. To address this, we will identify and characterize a novel neurofeedback performance endophenotype in a subsample from a cohort of 2743 cognitively healthy volunteers at risk for AD. This will be based on state-of-the-art neuroimaging technology, in combination with a novel sensitive neuropsychological test that detects subtle alterations in episodic memory, which has been validated for our cohort. Then, we will evaluate the impact on our newly developed neurofeedback performance endophenotype of factors known to be related to AD such as various clinical and lifestyle variables, amyloid deposition, genetic background (including, but not restricted to APOE4) and most importantly cognitive reserve. A specific aim is to test the hypothesis that neurofeedback performance can become a reliable proxy to measure cognitive reserve. Finally, we will develop a novel statistical predictive model, featuring all the relevant genetic and clinical variables and will assess the capacity of neurofeedback performance for predicting impending cognitive decline during a two-year period in AD descendants.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences neurobiology cognitive neuroscience
- medical and health sciences basic medicine neurology dementia alzheimer
- engineering and technology medical engineering diagnostic imaging magnetic resonance imaging
- medical and health sciences clinical medicine psychiatry schizophrenia
- natural sciences computer and information sciences software software applications virtual reality
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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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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
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.
MSCA-IF-EF-ST - Standard EF
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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.
(opens in new window) H2020-MSCA-IF-2015
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
08005 Barcelona
Spain
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.