State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia
About This Grant
The absence of a clear understanding of mechanisms that drive the symptoms of schizophrenia represents a critical need, hindering our ability to develop effective interventions for this debilitating condition. Bayesian predictive learning offers a formal computational perspective on how the brain processes and integrates incoming sensory information to form higher-level beliefs about the world. Abnormal predictive learning has emerged as a key candidate mechanism to explain core features of schizophrenia, including auditory hallucinations and impaired cognition. Notably, abnormalities occurring at different levels of the predictive learning hierarchy (i.e., low-level sensory perception vs. high-level beliefs about the state of the world) may differ in terms of their stability and their relationships to specific illness features (e.g., auditory hallucinations, impaired cognition). Building upon promising preliminary data and in alignment with the NIMH Strategic Plan, we will use an innovative electroencephalography (EEG) paradigm to characterize specific neural abnormalities associated with aberrant predictive learning in schizophrenia and relationships with specific illness features over time. Ninety adults with schizophrenia, 60 of whom experience active auditory hallucinations at the baseline assessment, will complete an EEG assessment of auditory predictive learning three times over a six-month follow-up period. Thirty non-psychiatric comparison participants will be assessed at baseline only. Stability of the EEG predictive learning indices and associations with auditory hallucinations will be assessed over the follow-up period. Leveraging the specialized scientific expertise and the extraordinary clinical research and participant recruitment infrastructure available at the University of Manitoba and the strong domestic scientific leadership and Veteran representation available at the Minneapolis VA, we anticipate that the project will contribute to the health of the American public by identifying key biological markers and clarifying our understanding of the pathophysiology of this debilitating mental health condition in order to support the development of new treatments.
Grant Summary
State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia is a NIMH - National Institute of Mental Health grant providing up to $192K for university, nonprofit, healthcare org. Applications are due 2028-06-30 (open). Check eligibility and apply with FindGrants.
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Eligibility
How to Apply
Up to $192K
2028-06-30
- 1Confirm your organization is eligible for State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia 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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State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia: Frequently Asked Questions
Who is eligible for the State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia?
State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia 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 State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia provide?
State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia provides up to $192K 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 State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia deadline?
Applications for State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia are due 2028-06-30 (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 State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia?
To apply for State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia, 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.