Li Huaizhou, Zhou Haiyan, Yang Yang, Wang Haiyuan, Zhong Ning
Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China; Faculty of Information Technology, Beijing University of Technology, Beijing, China; Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China; Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China.
Faculty of Information Technology, Beijing University of Technology, Beijing, China; Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China; Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China.
J Clin Neurosci. 2017 Oct;44:274-278. doi: 10.1016/j.jocn.2017.06.037. Epub 2017 Jul 8.
Previous studies have reported the enhanced randomization of functional brain networks in patients with major depressive disorder (MDD). However, little is known about the changes of key nodal attributes for randomization, the resilience of network, and the clinical significance of the alterations. In this study, we collected the resting-state functional MRI data from 19 MDD patients and 19 healthy control (HC) individuals. Graph theory analysis showed that decreases were found in the small-worldness, clustering coefficient, local efficiency, and characteristic path length (i.e., increase of global efficiency) in the network of MDD group compared with HC group, which was consistent with previous findings and suggested the development toward randomization in the brain network in MDD. In addition, the greater resilience under the targeted attacks was also found in the network of patients with MDD. Furthermore, the abnormal nodal properties were found, including clustering coefficients and nodal efficiencies in the left orbital superior frontal gyrus, bilateral insula, left amygdala, right supramarginal gyrus, left putamen, left posterior cingulate cortex, left angular gyrus. Meanwhile, the correlation analysis showed that most of these abnormal areas were associated with the clinical status. The observed increased randomization and resilience in MDD might be related to the abnormal hub nodes in the brain networks, which were attacked by the disease pathology. Our findings provide new evidence to indicate that the weakening of specialized regions and the enhancement of whole brain integrity could be the potential endophenotype of the depressive pathology.
先前的研究报道了重度抑郁症（MDD）患者功能性脑网络的随机化增强。然而，对于随机化关键节点属性的变化、网络的弹性以及这些改变的临床意义知之甚少。在本研究中，我们收集了19例MDD患者和19名健康对照（HC）个体的静息态功能磁共振成像数据。图论分析表明，与HC组相比，MDD组网络的小世界特性、聚类系数、局部效率和特征路径长度降低（即全局效率增加），这与先前的研究结果一致，表明MDD患者脑网络向随机化发展。此外，在MDD患者的网络中还发现了在靶向攻击下更强的弹性。此外，还发现了异常的节点属性，包括左侧眶额上回、双侧脑岛、左侧杏仁核、右侧缘上回、左侧壳核、左侧后扣带回皮质、左侧角回的聚类系数和节点效率。同时，相关性分析表明，这些异常区域中的大多数与临床状态相关。在MDD中观察到的随机化增加和弹性增强可能与脑网络中异常的枢纽节点有关，这些节点受到疾病病理的攻击。我们的研究结果提供了新的证据，表明特定区域的减弱和全脑完整性的增强可能是抑郁病理的潜在内表型。
