Abstract #4368

Quantitative susceptibility mapping, chi-separation (χ-separation), and their associations with cognitive functions in the UK Biobank study

Yun Soo Hong¹, Hyeong-geol Shin², Ziyang Xu², Jongho Lee³, Jaehyeon Koo³, Hwihun Jeong³, Dan E Arking¹, Eliseo Guallar⁴, Peter C Van Zijl², Ye Qiao², and Xu Li²

¹Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ²Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ³Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, ⁴Epidemology, New York University School of Global Public Health, New York, NY, United States

Synopsis

Keywords: Aging, Susceptibility, QSM, Chi-separation

Motivation: QSM and health outcomes were previously evaluated for QSM in subcortical regions. Furthermore, QSM is limited by its inability to distinguish iron and myelin.

Goal(s): We expanded the construction of QSM to both cortical and subcortical regions and to apply a novel method (χ-separation) the separate iron and myelin content. We evaluated the associations of QSM and χ-separation with age and with cognitive function.

Approach: We used multivariable linear regression models to evaluate the associations in the UK Biobank.

Results: Higher QSM values in cortical regions were associated with poor memory and executive function. Higher χ-separation values were associated with poor prospective memory.

Impact: Higher iron content in the brain may be associated with poor cognitive function. These associations need to be further investigated in longitudinal data sets to evaluate the progression of cognitive decline and neurodegenerative disease development.

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