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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/3155
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Hirotaka James Okano, Motoki Hirabayashi, Ami Yuzawa, Daisuke Yoshimaru et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Mental Health Research Topics
article

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

Hirotaka James Okano, Motoki Hirabayashi, Ami Yuzawa, Daisuke Yoshimaru, Shuhei Shibukawa, Eiji Hirakawa
article en

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 74%
Mental Health Research Topics
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