Chenwang Jin1, Kai Yuan2, Netra Rana1, Zhigang Min1, Chen Niu1, Yuan Wang1, Ming Zhang1, Wei Qin2, Jie Tian3
1Medical Imaging and Nuclear Medicine, First Affiliated Hospital of Xi'an Jiaotong University, School of Medicine, Xi'an, Shaanxi, China; 2Life Sciences Research Center, Xidian University, School of Life Sciences and Technology, Xi'an, Shaanxi, China; 3China Institute of Automation,Chinese Academy of Sciences, Beijing, China
Internet addiction disorder (IAD) is defined as maladaptive use of internet and inability of an individual to control his/her use of internet. IAD has been classified as a type of impulse control disorder. Here, we employed the amplitude of low frequency fluctuation (ALFF) method to explore the local features of spontaneous brain activity in patients with IAD and healthy controls during resting-state.