Park Chang-hyun, Wang Sheng-Min, Lee Hae-Kook, Kweon Yong-Sil, Lee Chung Tai, Kim Ki-Tae, Kim Young-Joo, Lee Kyoung-Uk
Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, London, WC1N 3BG, UK, Department of Psychiatry and Department of Radiology, Uijeongbu St. Mary s Hospital, The Catholic University of Korea School of Medicine, Seoul, 137-701, Korea.
Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, London, WC1N 3BG, UK, Department of Psychiatry and Department of Radiology, Uijeongbu St. Mary s Hospital, The Catholic University of Korea School of Medicine, Seoul, 137-701, Korea
Soc Cogn Affect Neurosci. 2014 Sep;9(9):1404-12. doi: 10.1093/scan/nst126. Epub 2013 Nov 18.
In major depressive disorder (MDD), as a network-level disease, the pathophysiology would be displayed to a wide extent over the brain. Moreover, the network-wide changes could be dependent on the context of affective processing. In this study, we sought affective state-dependent changes of the brain functional network by applying a graph-theoretical approach to functional magnetic resonance imaging data acquired in 13 patients with MDD and 12 healthy controls who were exposed to video clips inducing the negative, neutral or positive affective state. For each affective condition, a group-wise brain functional network was constructed based on partial correlation of mean activity across subjects between brain areas. Network parameters, global and local efficiencies, were measured from the brain functional network. Compared with controls', patients' brain functional network shifted to the regular network in the topological architecture, showing decreased global efficiency and increased local efficiency, during negative and neutral affective processing. Further, the shift to the regular network in patients was most evident during negative affective processing. MDD is proposed to provoke widespread changes across the whole brain in an affective state-dependent manner, specifically in the negative affective state.
在重度抑郁症（MDD）中，作为一种网络层面的疾病，其病理生理学在大脑中会广泛展现。此外，全网络的变化可能取决于情感加工的情境。在本研究中，我们通过将图论方法应用于13例MDD患者和12名健康对照者的功能磁共振成像数据，这些患者和对照者观看了诱导负性、中性或正性情感状态的视频片段，从而探寻大脑功能网络中情感状态依赖的变化。对于每种情感状态，基于各脑区之间受试者平均活动的偏相关性构建一个全组脑功能网络。从脑功能网络中测量网络参数，即全局效率和局部效率。与对照组相比，在负性和中性情感加工过程中，患者的脑功能网络在拓扑结构上向规则网络转变，表现为全局效率降低和局部效率增加。此外，患者向规则网络的转变在负性情感加工过程中最为明显。研究表明，MDD会以情感状态依赖的方式在全脑引发广泛变化，特别是在负性情感状态下。
