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Abstract #3030

Graph theoretical analysis of abnormal structural networks in obese patients using DTI tractography

I Ieng Chao1, Vincent Chin-Hung Chen2, Hse-Huang Chao3, Ming-Chou Ho4, and Jun-Cheng Weng1,5

1Department of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan, 2Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, 3Tiawan Center for Metabolic and Bariatric Surgery, Jen-Ai Hospital, Taichung, Taiwan, 4Department of Psychology, Chung Shan Medical University, Taichung, Taiwan, 5Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan

Obesity is one of the most serious public health concerns among adults and children in the 21st century, which increases risk of many other diseases, including cardiovascular risks, hypertension, dyslipidemia, endothelial dysfunction, etc., and it is commonly measured with body mass index (BMI). Previously studies about obesity mainly used diffusion tensor imaging (DTI) to examine the relationship between BMI and DTI parameters, and found that white matter integrity was reduced in obesity. However, the research about the particular structural brain network change of obese patients was tended to be less. Hence, our study aimed to map the structural connectomic changes over obese patients based on DTI tractography using graph theoretical and network-based statistic (NBS) analyses. In the result of graph theoretical analysis, poor ability of local segregation, global integration, and transitivity in the obese patients was found. In the result of NBS, decreased connections in structural connectivity network, and alterations in the corpus callosum region was observed.

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