Wang Junjing, Wang Ying, Wu Xia, Huang Huiyuan, Jia Yanbin, Zhong Shuming, Wu Xiaoyan, Zhao Lianping, He Yuan, Huang Li, Huang Ruiwang
Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China.
Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
Brain Imaging Behav. 2020 Feb;14(1):186-199. doi: 10.1007/s11682-018-9978-x.
Bipolar disorder (BD) is frequently misdiagnosed as major depressive disorder (MDD) in clinical practice, especially during depressive episodes. A unifying triple-network model, involving the default mode network (DMN), central executive network (CEN) and salience network (SN), has been proposed to explain the neural physiopathology of psychiatric and neurological disorders. Although several studies revealed shared and specific alterations between BD and MDD in key regions of DMN, CEN, and SN, and a few studies used different measures to detect detailed alterations in the triple networks in BD and MDD, their shared and specific patterns of altered functional connectivity (FC) in the triple networks has remained unclear. In this study, we acquired resting-state fMRI (R-fMRI) data from 38 unmedicated BD and 35 unmedicated MDD patients during depressive episodes along with 47 healthy controls. We first determined the spatially independent components of the DMN, SN, and CEN by using independent component analysis (ICA); then we estimated the inter-ROI and inter-network FC for each group. By comparing the differences between the three groups, we obtained the following results: (1) both the BD and MDD patients showed shared weaker intra-network FC in the left mPFC and right precuneus within the DMN as well as weaker inter-ROI FC between the left AI and right AI compared with the healthy controls; (2) the BD had weaker while the MDD had stronger intra-network FC in the right dlPFC within the rCEN as well as stronger inter-ROI FC between the right dlPFC and right ANG compared with the healthy controls; (3) the BD showed specific, stronger inter-ROI FC between the left PPC and right AI as well as stronger inter-network FC between the lCEN and SN compared with either the MDD or the control group. Our findings provide new information for understanding the neural physiopathology and clinical symptoms of depressed BD and MDD patients.
双相情感障碍(BD)在临床实践中常被误诊为重度抑郁症(MDD),尤其是在抑郁发作期间。一种统一的三重网络模型,涉及默认模式网络(DMN)、中央执行网络(CEN)和突显网络(SN),已被提出用于解释精神和神经疾病的神经生理病理学。尽管多项研究揭示了BD和MDD在DMN、CEN和SN关键区域的共同和特定改变,并且一些研究使用不同方法检测BD和MDD三重网络中的详细改变,但它们在三重网络中功能连接(FC)改变的共同和特定模式仍不清楚。在本研究中,我们采集了38例未用药的BD患者、35例未用药的MDD患者在抑郁发作期间的静息态功能磁共振成像(R-fMRI)数据以及47名健康对照者的数据。我们首先使用独立成分分析(ICA)确定DMN、SN和CEN的空间独立成分;然后我们估计每组的感兴趣区域(ROI)间和网络间FC。通过比较三组之间的差异,我们得到以下结果:(1)与健康对照相比,BD和MDD患者在DMN内的左侧内侧前额叶皮质(mPFC)和右侧楔前叶均表现出共同的较弱的网络内FC,以及左侧前岛叶(AI)和右侧AI之间较弱的ROI间FC;(2)与健康对照相比,BD患者在右侧背外侧前额叶皮质(dlPFC)内的rCEN中网络内FC较弱,而MDD患者较强,并且右侧dlPFC和右侧角回(ANG)之间的ROI间FC较强;(3)与MDD组或对照组相比,BD患者在左侧顶下小叶(PPC)和右侧AI之间表现出特定的较强的ROI间FC,以及在lCEN和SN之间表现出较强的网络间FC。我们的研究结果为理解BD和MDD抑郁患者的神经生理病理学和临床症状提供了新信息。