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Abstract #4593

Abnormally functional connectivity density and network pattern in lifelong premature ejaculation patient: A resting-state fMRI study

Jiaming Lu1, Xin Zhang1, Yun Chen2, Jiadong Xia2,3, Zhao Qing1, Fei Chen4, Huiting Wang1, Weibo Chen5, Queenie Chan6, Yutian Dai2, Bing Zhang7, and Bin Zhu8

1Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China, NanJing, People's Republic of China, 2Department of Andrology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China, NanJing, People's Republic of China, 3Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China., 4Department of Radiology, The Affiliated Yancheng Hospital of Southeast University Medical College, Yancheng, Jiangsu, China, NanJing, People's Republic of China, 5Philips Healthcare, Shanghai, People's Republic of China, People's Republic of China, 6Philips Healthcare, HongKong, People's Republic of China, People's Republic of China, 7Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China, NanJing, People's Republic of China, 8Department of Radiology, ffiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China., NanJing, People's Republic of China

Premature ejaculation (PE) is considered the alteration in dopaminergic reward system. Functional connectivity density along with network pattern methodology provides an opportunity to assess the functional integrity of brain activity in implicated circuits and it was applied to analysis the inter-group difference in SFCD and LFCD. Network constructing and graph theoretical were used to compare the network property. In conclusion, this study demonstrated the weaken connection inner brain areas and strengthened connection inter brain areas in dopaminergic reward system along with the functional network pattern has changed in the lifelong PE patient for the first time.

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Abstract