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Abstract #3794

Evaluation in brain function and the correlation with depression and anxiety of obese patients using resting-state fMRI

Cheng-Jui Li1,2, Vincent Chin-Hung Chen3, Hse-Huang Chao4, Ming-Chou Ho5, and Jun-Cheng Weng1,2,6

1Department of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan, 2Department of Biomedical Sciences, Chung Shan Medical University, Taichung, Taiwan, 3Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan, 4Tiawan Center for Metabolic and Bariatric Surgery, Jen-Ai Hospital, Taichung, Taiwan, 5Department of Psychology, Chung Shan Medical University, Taichung, Taiwan, 6Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan

Obesity has reached epidemic proportions globally to become a major public health problem. Obesity-related health problems are numerous including strokes, cardiovascular disease, diabetes mellitus, and increased risk for developing cancer. Reward mechanism of obese patients regarding functional connectivity has been declared by several studies, but few studies mentioned about the correlation between functional images and clinical indices. Thus, our study aimed to find out abnormal functional connectivity over obese patients based on amplitude low frequency fluctuation (ALFF) and regional homogeneity (ReHo) using voxel-based analysis, and the correlation between functional images and clinical indices, including body mass index (BMI) and hospital anxiety and depression scale (HADS). We found the brain functional abnormality in the obese patients compared to healthy controls, and the correlation with depression and anxiety. The potential functional imaging markers may provide guidance for managing obesity and disordered eating behaviors.

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