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State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia

Award Number: R21MH141610
ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 07/01/2026
PERIOD OF PERFORMANCE END DATE: 06/30/2028

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State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia - 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.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $191,910 )
2026	2026	THE UNIVERSITY OF MANITOBA	402 ADMINISTRATION BUILDING	WINNIPEG	MB			CAN	Mental Health Research Grants	000	1	7/1/2026	NEW	$191,910
														Subtotal = $191,910

Grand Total All Awards = $191,910

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State- and Trait-like Perceptual Predictive Learning Abnormalities in Schizophrenia

Award Number: R21MH141610

ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 07/01/2026

PERIOD OF PERFORMANCE END DATE: 06/30/2028

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