Objective
Value-based decision-making is crucial for human behavior and learning, pervades our daily life and goes astray in psychiatric disorders such as schizophrenia and depression. The neural activity of brain regions producing and being influenced by the neurotransmitter dopamine has been associated with value-based decision-making processes. By extension, one would expect dopamine systems, mainly midbrain regions and their striatal projections, to play a role in such decisions, such as whether a specific reward is worth enduring some punishment. It is a matter of debate, but of surprisingly little empirical investigation, whether the rewarding and punishing aspects of value differentially or similarly depend on the dopamine system. The project DOPANF aims to clarify this issue by investigating dynamic changes of dopamine-related neural activity. DOPANF develops two new paradigms to shed light on this important, yet neglected topic for public health and subjective well-being. Specifically, DOPANF uses recent neuroscientific and technological developments: real-time imaging for immediate analysis of neural activity in the midbrain and multivariate pattern analysis for algorithmic capture of related activity spatially distributed throughout the brain. By observing their own brain activity as neurofeedback in real time, participants will learn to volitionally up- and downregulate activity in the dopamine system. We will then measure the behavioral consequences of this regulation with regard to how much effort participants are willing to exert to obtain a reward. Thus, DOPANF aims to achieve a more precise understanding of decision-making behavior and elucidate the exact role of the dopaminergic midbrain in value processing and its impact on effort discounting. The project is feasible and has the potential to provide a better understanding of psychiatric diseases, such as depression or schizophrenia.
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 public health
- medical and health sciences clinical medicine psychiatry schizophrenia
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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-2017
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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.
8006 Zurich
Switzerland
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.