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Abstract #4093

Cardiometabolic Impacts on Brain Microstructure: Fixel-Based Analysis and Cognitive Prediction

Hyun Soo Park1 and Bumseok Jeong1
1Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of

Synopsis

Keywords: Other Neurodegeneration, Neurodegeneration, Fixel-based analysis, Cardiometabolic disease

Motivation: Traditional neuroimaging studies have analyzed the effects of cardiometabolic factors on brain structure and cognition but often lack sensitivity to subtle micro-structural changes. Past studies have been limited by small sample sizes and a focus on simple volumetric or circuit-level analyses.

Goal(s): To investigate the impact of cardiometabolic disease on the brain at the fixel level using large-scale cohort data.

Approach: Using fixel-based analysis, we examined tract- and network-specific fixels affected by metabolic syndrome and analyzed their relationships with cardiometabolic indicators.

Results: We identified significant fixel-based metric differences influenced by specific cardiometabolic indicators, leading to improved predictive modeling for cognitive function impacts.

Impact: This study aims to capture micro-structural brain changes undetected in prior research. Fixel-based analysis allows precise mapping of cardiometabolic factors' effects on specific tracts and networks, enhancing predictive accuracy for cognitive function correlations at the individual level.

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