Wang Lubin, Shen Hui, Lei Yu, Zeng Ling-Li, Cao Fenglin, Su Linyan, Yang Zheng, Yao Shuqiao, Hu Dewen
Cognitive and Mental Health Research Center, Beijing Institute of Basic Medical Sciences, Beijing 100850, China; College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, China.
College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan 410073, China.
Addict Behav. 2017 Jul;70:1-6. doi: 10.1016/j.addbeh.2017.01.021. Epub 2017 Jan 15.
Internet addiction (IA) is a condition characterized by loss of control over Internet use, leading to a variety of negative psychosocial consequences. Recent neuroimaging studies have begun to identify IA-related changes in specific brain regions and connections. However, whether and how the interactions within and between the large-scale brain networks are disrupted in individuals with IA remain largely unexplored. Using group independent component analysis, we extracted five intrinsic connectivity networks (ICNs) from the resting-state fMRI data of 26 adolescents with IA and 43 controls, including the anterior and posterior default mode network (DMN), left and right fronto-parietal network (FPN), and salience network (SN). We then examined the possible group differences in the functional connectivity within each ICN and between the ICNs. We found that, compared with controls, IA subjects showed: (1) reduced inter-hemispheric functional connectivity of the right FPN, whereas increased intra-hemispheric functional connectivity of the left FPN; (2) reduced functional connectivity in the dorsal medial prefrontal cortex (mPFC) of the anterior DMN; (3) reduced functional connectivity between the SN and anterior DMN. Our findings suggest that IA is associated with imbalanced interactions among the DMN, FPN and SN, which may serve as system-level neural underpinnings for the uncontrollable Internet-using behaviors.
网络成瘾(IA)是一种以无法控制网络使用为特征的状态,会导致各种负面的心理社会后果。最近的神经影像学研究已开始确定与IA相关的特定脑区和连接的变化。然而,IA个体的大规模脑网络内部以及之间的相互作用是否以及如何受到干扰在很大程度上仍未得到探索。我们使用组独立成分分析,从26名患有IA的青少年和43名对照的静息态功能磁共振成像(fMRI)数据中提取了五个内在连接网络(ICN),包括前、后默认模式网络(DMN)、左、右额顶叶网络(FPN)和突显网络(SN)。然后,我们检查了每个ICN内部以及ICN之间功能连接的可能组间差异。我们发现,与对照组相比,IA受试者表现出:(1)右侧FPN的半球间功能连接减少,而左侧FPN的半球内功能连接增加;(2)前DMN的背内侧前额叶皮质(mPFC)中的功能连接减少;(3)SN与前DMN之间的功能连接减少。我们的研究结果表明,IA与DMN、FPN和SN之间的相互作用失衡有关,这可能是无法控制的网络使用行为的系统级神经基础。