Deconstructing Delusion Mechanisms via Causal Learning
About This Grant
Delusions – unfounded and often bizarre beliefs – can be a highly distressing feature of psychotic illnesses. They frequently do not respond to pharmacological or psychosocial treatments, and advancing treatment development requires a clearer understanding of their specific underlying mechanisms. Prior research has implicated abnormalities in social cognition, particularly in paranoid, persecutory delusions. Other work suggests that more general mechanisms of belief formation may underlie delusions. Prediction errors may play a central role in both social and non-social accounts of delusions; however, the content, computations, and implementation of these aberrant error signals have yet to be established. The goal of the current proposal is to evaluate the roles of social and non-social prediction errors in delusions among individuals with schizophrenia, compared to control participants without delusions. This proposal includes three specific aims that span various levels of analysis: Specific Aim 1: Examine social and non-social Kamin blocking as behavioral metrics of prediction error processing in patients and controls and explore their relationship with delusion severity. Specific Aim 2: Apply state-of-the-art computational modeling to social and non-social Kamin blocking behaviors to quantify prediction errors, learning rates, and weighting parameters relevant to delusions. This aim will investigate whether these factors differ by task frame and if such differences are associated with symptoms. Specific Aim 3: Use functional neuroimaging and neuromelanin scanning to determine how social and non-social Kamin blocking is implemented in the brain and explore their relationships to dopamine and noradrenaline sytem integrity and delusions. Together, these aims will provide a rigorous account that spans the bio-psycho-social processes implicated in delusions. This integrated approach will provide the foundation for developing rational and targeted treatment strategies.
Grant Summary
Deconstructing Delusion Mechanisms via Causal Learning is a NIMH - National Institute of Mental Health grant providing up to $828K for university, nonprofit, healthcare org. Applications are due 2031-07-31 (open). Check eligibility and apply with FindGrants.
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How to Apply
Up to $828K
2031-07-31
- 1Confirm your organization is eligible for Deconstructing Delusion Mechanisms via Causal Learning from NIMH - National Institute of Mental Health, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIMH - National Institute of Mental Health before the deadline.
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Deconstructing Delusion Mechanisms via Causal Learning: Frequently Asked Questions
Who is eligible for the Deconstructing Delusion Mechanisms via Causal Learning?
Deconstructing Delusion Mechanisms via Causal Learning is offered by NIMH - National Institute of Mental Health and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the Deconstructing Delusion Mechanisms via Causal Learning provide?
Deconstructing Delusion Mechanisms via Causal Learning provides up to $828K per award from NIMH - National Institute of Mental Health. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the Deconstructing Delusion Mechanisms via Causal Learning deadline?
Applications for Deconstructing Delusion Mechanisms via Causal Learning are due 2031-07-31 (open). Because deadlines can change, verify the date with the funder, NIMH - National Institute of Mental Health, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Deconstructing Delusion Mechanisms via Causal Learning?
To apply for Deconstructing Delusion Mechanisms via Causal Learning, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIMH - National Institute of Mental Health.