Objective
During this fellowship at Dublin City University (Ireland), the researcher will enhance, significantly, the clinical utility of existing traditionally used cognitive tests, particularly as it relates to the early detection and accurate diagnosis of mild cognitive impairment (MCI) and dementia. Cognitive difficulties represent the hallmark of many neurodegenerative conditions and, in relation to dementia, cognitive evaluation represents one major pillar of current methods of detection and diagnosis. There are, however, many difficulties with existing cognitive tests and this project has been designed to address this issue. The need for and the potential benefits of early and accurate detection of MCI and dementia is well-recognised. Early and accurate detection is, however, complex and, at present, is subject to high diagnostic error rates. With the expected advent of new effective drug treatments for different neurodegenerative diseases (e.g. Alzheimer’s disease), early and accurate diagnosis will be even more vital into the future. Using the principles of what is known as the Qualitative Process Approach (QPA), the goal of this project is to identify and develop a battery of cognitive tests, both in traditional paper-and-pencil form and, when clinically appropriate, in a computerised version, with the aim of enabling a wide range of clinicians improve early and accurate diagnosis. This fellowship will play a crucial role in the career of Dr. Unai Diaz Orueta by providing him with international research experience and making him a reference expert in international neuropsychological research. Patients, families and society will benefit for earlier detection, earlier intervention, and reduced healthcare costs, as the improvement in the accuracy of the diagnosis of neurodegenerative conditions will subsequently impact in planning appropriate early interventions and saving millions of Euros associated to both formal and informal care of older people with dementia.
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.
- medical and health sciences health sciences nursing
- social sciences psychology
- medical and health sciences basic medicine neurology dementia
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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-2014
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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.
9 Dublin
Ireland
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.