Voxel-based functional connectivity density analysis of resting state fMRI brain activity in cirrhotic patients with and without hepatic encephalopathy

摘要：

Objective Resting state functional magnetic resonance imaging (fMRI) is an important tool for understanding the functional reorganization of the brain in cirrhotic patients.Previous studies revealed that functional integration failure were observed in the whole brain.However, the whole-brain functional connectivity analysis methods used in these studies have the limitation that the result relied on a priori definition of network nodes.Moreover, the utility of resting state functional connectivity in the diagnosis and prediction of hepatic encephalopathy (HE) is not well examined.Here, we used an unbiased voxel-based functional connectivity density (FCD) analysis method to reveal the abnormality of fMRI brain activity in patients with and without hepatic encephalopathy and the effectiveness of this method in disease prediction.

作者: Gaoyan Zhang Yue Cheng Baolin Liu Wen Shen

作者单位: School of computer science and technology, Tianjin University, Tianjin,China, 300350 Department of Radiology, Tianjin First Central Hospital, Tianjin 300192, P.R.China

会议类型: 国内会议

会议名称: 第三届脑成像与脑电研究与应用研讨会

会议地点: 大连

会议语种:英文

页码: 38-38

在线出版日期: 2016-07-01（万方平台首次上网日期，不代表论文的发表时间）