基于功能网络的抑郁症统计学研究：心理理论子网和顶叶区域的重要性。
Functional network-based statistics in depression: Theory of mind subnetwork and importance of parietal region.
机构信息
Department of Psychiatry, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi City, Taiwan, ROC; Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan, ROC; Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, ROC.
Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan, ROC; Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, ROC.
出版信息
J Affect Disord. 2017 Aug 1;217:132-137. doi: 10.1016/j.jad.2017.03.073. Epub 2017 Apr 7.
OBJECTIVE
The functional network analysis of whole brain is an emerging field for research in depression. We initiated this study to investigate which subnetwork is significantly altered within the functional connectome in major depressive disorder (MDD).
METHODS
The study enrolled 52 first-episode medication-naïve patients with MDD and 40 controls for functional network analysis. All participants received the resting-state functional imaging using a 3-Tesla magnetic resonance scanner. After preprocessing, we calculated the connectivity matrix of functional connectivity in whole brain for each subject. The network-based statistics of connectome was used to perform group comparisons between patients and controls. The correlations between functional connectivity and clinical parameters were also performed.
RESULTS
MDD patients had significant alterations in the network involving "theory of mind" regions, such as the left precentral gyrus, left angular gyrus, bilateral rolandic operculums and left inferior frontal gyrus. The center node of significant network was the left angular gyrus. No significant correlations of functional connectivity within the subnetwork and clinical parameters were noted.
CONCLUSION
Functional connectivity of "theory of mind" subnetwork may be the core issue for pathophysiology in MDD. In addition, the center role of parietal region should be emphasized in future study.
目的
全脑功能网络分析是抑郁症研究中的一个新兴领域。我们开展此项研究旨在探究在重度抑郁症（MDD）的功能连接组中，哪个子网络发生了显著改变。
方法
本研究纳入了 52 例首发未用药的 MDD 患者和 40 例对照进行功能网络分析。所有参与者均接受了 3.0T 磁共振扫描仪的静息态功能成像。预处理后，我们计算了每位受试者全脑功能连接的连接矩阵。采用基于网络的连接组统计学方法对患者和对照组进行组间比较。还对功能连接与临床参数之间的相关性进行了分析。
结果
MDD 患者在涉及“心理理论”区域的网络中存在显著改变，例如左中央前回、左角回、双侧脑岛盖和左额下回。显著网络的中心节点为左角回。未观察到子网络内的功能连接与临床参数之间存在显著相关性。
结论
“心理理论”子网的功能连接可能是 MDD 病理生理学的核心问题。此外，未来的研究应强调顶叶区域的中心作用。
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