Objective
A primary treatment for anxiety disorders is exposure therapy, which is based on the principles of extinction, but has the drawback that fear can return. This risk of relapse highlights a need for treatments that persist. Research on reconsolidation has shown that upon reactivation old fear memories can be updated, preventing the return of fear. However, studies targeting reconsolidation to reduce fear have reported mixed results because its boundary conditions are poorly understood. To live up to its clinical potential it is necessary to understand how to most effectively utilize paradigms targeting reconsolidation. The proposed research attempts to address this issue by providing a neural measure of the reconsolidation process itself. This will be achieved by determining whether dynamic patterns of neural network activity that occur during initial learning re-occur during offline ‘rest’ periods, and test whether this ‘replay’ of memory is linked to reconsolidation. The first objective of this grant application is to identify and quantify a neural marker of reconsolidation that predicts the absence of fear recovery. During the outgoing phase these questions will be addressed employing an innovative cross-species (humans, rats) approach using similar behavioural tasks, complementary recording techniques (functional magnetic resonance imaging, multi-unit recordings) and state-of-the-art analyses methods. Acquired knowledge and experience will be applied during the return phase where the second objective is to use this neural marker to determine how context serves as one critical boundary condition to inducing reconsolidation. Findings will significantly advance fundamental understanding of reconsolidation and have important implication for applied and preclinical psychiatric research.
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.
- engineering and technology medical engineering diagnostic imaging magnetic resonance imaging
- natural sciences computer and information sciences software software applications virtual reality
- medical and health sciences clinical medicine psychiatry anxiety disorders
- natural sciences computer and information sciences artificial intelligence computational intelligence
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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-GF - Global Fellowships
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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.
6525 XZ Nijmegen
Netherlands
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.