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Brain networks controlling social decisions

Objective

Successful social interactions require social decision making, the ability to guide our actions in line with the goals and expectations of the people around us. Disordered social decision making – e.g. associated with criminal activity or psychiatric illnesses – poses significant financial and personal challenges to society. However, the brain mechanisms that enable us to control our social behavior are far from being understood. Here I will take decisive steps towards a causal understanding of these mechanisms by elucidating the role of functional interactions in the brain networks responsible for steering strategic, prosocial, and norm-compliant behavior. I will employ a unique multi-method approach that integrates computational modeling of social decisions with new combinations of multimodal neuroimaging and brain stimulation methods. Using EEG-fMRI, I will first identify spatio-temporal patterns of functional interactions between brain areas that correlate with social decision processes as identified by computational modeling of behavior in different economic games. In combined brain stimulation-fMRI studies, I will then attempt to affect – and in fact enhance – these social decision-making processes by modulating the identified brain network patterns with novel, targeted brain stimulation protocols and measuring the resulting effects on behavior and brain activity. Finally, I will examine whether the identified brain network mechanisms are indeed related to disturbed social decisions in two psychiatric illnesses characterized by maladaptive social behavior (post-traumatic stress disorder and autism spectrum disorder). My proposed work plan will generate a causal understanding of the brain network mechanisms that allow humans to control their social decisions, thereby elucidating a biological basis for individual differences in social behavior and paving the way for new perspectives on how disordered social behavior may be identified and hopefully remedied.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

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.

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.

ERC-COG - Consolidator Grant

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2016-COG

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Host institution

UNIVERSITAT ZURICH
Net EU contribution

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.

€ 1 999 991,00
Address
RAMISTRASSE 71
8006 Zurich
Switzerland

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Region
Schweiz/Suisse/Svizzera Zürich Zürich
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 1 999 991,00

Beneficiaries (1)

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