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Abstract #3155

Disease Progression Patterns and Their Relationship with Cognitive Function in Schizophrenia Through Subtype Analysis

Ami Yuzawa1,2, Daisuke Yoshimaru1, Shuhei Shibukawa3, Motoki Hirabayashi1, Eiji Hirakawa2, and Hirotaka James Okano1
1Division of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan, 2Radiology, The Jikei University Hospital, Tokyo, Japan, 3Juntendo university, Tokyo, Japan

Synopsis

Keywords: Other Neurodegeneration, Neurodegeneration

Motivation: Cognitive dysfunction significantly impacts outcomes in schizophrenia, the relationship between brain structural changes and specific cognitive domains remains unclear. Understanding these relationships could provide objective biomarkers for disease progression.

Goal(s): To identify associations between brain structural changes and cognitive domains in schizophrenia and investigate distinct patterns of disease progression using neuroimaging.

Approach: Surface-based morphometry was performed on MRI data from schizophrenia patients and healthy controls. Disease progression patterns were analyzed using the SuStaIn algorithm.

Results: Specific brain regions correlated with distinct cognitive domains. Two progression patterns were identified: one showing widespread cortical changes and another initiating in basal ganglia, representing different disease stages.

Impact: The identification of stage-specific brain changes and their relationship to cognitive function provides a framework for objective disease monitoring and suggests potential targets for stage-specific therapeutic interventions in schizophrenia.

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Keywords