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Abstract #3506

Age-dependent co-variation networks in myelin-related images

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: Brain Connectivity, Aging, Myelin co-variation network Myelin co-variation networks was used to investigate the myelinic alteration in brain degradation. However, a systematic investigation of age-related co-variation networks of multiple myelin-related images remains deficient. We aimed to investigate the age-related effect on myelin co-variation networks in gray matter and white matter. Our results revealed that different myelin-related indices presented different age-dependent evolution of co-variation networks. The age-dependencies of strength of co-variation and topological attributes were mostly in complex polynomial pattern. The investigation of multiple age-related myelin co-variation networks might comprehend the synchronous changes between brain regions and demonstrated its usefulness in predicting the alteration of myelinic tissue.

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