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Abstract #3579

Age-dependent changes of myelin-related feature analysis in gray matter and white matter

Nan-Hao Chen1,2, Li-Ping Chen3, Chia-Wei Hsu3, Chin-Hua Yang1,3,4, and Hsu-Hsia Peng1
1Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, 2Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan, 3Department of Medical Imaging, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan, 4Department of Radiology, Taoyuan General Hospital, Taoyuan, Taiwan

Synopsis

Keywords: Quantitative Imaging, Aging, Myelin-related imagesThe regional characteristics extracted from myelin-related images have been considered the markers of brain degradation. However, a systematic investigation of age-dependent changes in myelin-related images remains deficient. We aimed to investigate the associations between regional features and age in myelin-related images. Our results revealed that ADC, mFLAIR, and T1w/T2w ratio were associated with age while aMWF showed no age-dependency. The increased heterogeneity and decreased uniformity in certain brain regions were observed in the elderly, indicating changes of microstructural tissue integrity in ADC, mFLAIR, and T1w/T2w ratio and the clinical usefulness of aMWF without a confounding factor of age in diagnosis.

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