Reduced functional connectivity of default mode network subsystems in depression: Meta-analytic evidence and relationship with trait rumination.
Reduced functional connectivity of default mode network subsystems in depression: Meta-analytic evidence and relationship with trait rumination.
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抑郁症中默认模式网络子系统的功能连通性降低：荟萃分析证据和与性状反省的关系。
DOI：
10.1016/j.nicl.2021.102570
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Williams LM
中科院分区：
文献类型：
--
作者：
Tozzi L;Zhang X;Chesnut M;Holt-Gosselin B;Ramirez CA;Williams LM
我们对抑郁症中DMN子系统连接的差异进行了荟萃分析。抑郁症患者DMN核心的连通性略有降低。这种差异很小，可变，并且在不同地点之间是异质的。反刍不能预测DMN子系统功能连接。重性抑郁症（MDD）患者默认模式网络（DMN）的静息状态功能连接变化与反刍有关。DMN分为三个子系统：中线核心，背内侧前额叶皮质（DMPFC）子系统，内侧颞叶（MTL）子系统。我们研究了静息态功能连接内和之间的DMN子系统在MDD及其与反刍。首先，我们对618例MDD和683例对照的大型多中心数据集进行了荟萃分析，以量化MDD和对照之间DMN子系统功能连接的差异。其次，我们测试了DMN子系统的功能连接和反刍的样本中的115个未服药的参与者的焦虑/抑郁症状和48个对照组的关联。在我们的荟萃分析中，与对照组相比，MDD组仅DMN核心区的功能连接显著降低（g = −0.246，CI = [−0.417; −0.074]，pFDR = 0.048）。DMPFC子系统中以及Core和DMPFC子系统之间的功能连接性略有降低，但不显著（g = −0.162，CI = [−0.310; −0.013]，pFDR = 0.096; g = −0.249，CI = [−0.464; −0.034]，pFDR = 0.084）。各研究中心的Core连接以及Core与DMPFC之间的连接结果存在异质性（分别为I2 = 0.348和I2 = 0.576）。预测区间始终包含0。在我们收集的独立样本中，与对照组相比，MDD中DMN核心、DMPFC内以及核心和DMPFC之间的功能连接性没有降低（所有pFDR > 0.05）。性状反刍不能预测DMN子系统内部和之间的连接性（所有pFDR > 0.05）。我们的结论是，MDD作为一个诊断类别显示略有减少的功能连接内的DMN核心，独立于疾病的持续时间，治疗，症状和特质反刍。然而，这种影响是小的，高度可变的和异质性的样本，所以我们只能检测到它在荟萃分析水平，样本量为几百。我们的研究结果表明，减少核心DMN连接有显着的局限性，作为一个潜在的临床或预后指标诊断MDD，可能更相关的考虑作为一个特征区分一个亚组的个人在这个诊断类别。
We ran a meta-analysis of differences of DMN subsystems connectivity in depression. Connectivity of the DMN Core is slightly reduced in depression. This difference is small, variable and heterogeneous across sites. Rumination does not predict DMN subsystem functional connectivity. Resting-state functional connectivity changes in the default mode network (DMN) of patients with major depressive disorder (MDD) have been linked to rumination. The DMN is divided into three subsystems: a midline Core, a dorsal medial prefrontal cortex (DMPFC) subsystem, and a medial temporal lobe (MTL) subsystem. We examined resting-state functional connectivity within and between DMN subsystems in MDD and its association with rumination. First, we conducted a meta-analysis on a large multi-site dataset of 618 MDD and 683 controls to quantify the differences in DMN subsystem functional connectivity between MDD and controls. Second, we tested the association of DMN subsystem functional connectivity and rumination in a sample of 115 unmedicated participants with symptoms of anxiety/depression and 48 controls. In our meta-analysis, only functional connectivity in the DMN Core was significantly reduced in MDD compared to controls (g = −0.246, CI = [−0.417; −0.074], pFDR = 0.048). Functional connectivity in the DMPFC subsystem and between the Core and DMPFC subsystems was slightly reduced but not significantly (g = −0.162, CI = [−0.310; −0.013], pFDR = 0.096; g = −0.249, CI = [−0.464; −0.034], pFDR = 0.084). Results were heterogeneous across sites for connectivity in the Core and between Core and DMPFC (I2 = 0.348 and I2 = 0.576 respectively). Prediction intervals consistently encompassed 0. In the independent sample we collected, functional connectivity within the DMN Core, DMPFC and between Core and DMPFC was not reduced in MDD compared to controls (all pFDR > 0.05). Trait rumination did not predict connectivity within and between DMN subsystems (all pFDR > 0.05). We conclude that MDD as a diagnostic category shows slightly reduced functional connectivity within the DMN Core, independent of illness duration, treatment, symptoms and trait rumination. However, this effect is small, highly variable and heterogeneous across samples, so that we could only detect it at the meta-analytic level, with a sample size of several hundreds. Our results indicate that reduced Core DMN connectivity has significant limitations as a potential clinical or prognostic marker for the diagnosis of MDD and might be more relevant to consider as a characteristic distinguishing a subgroup of individuals within this diagnostic category.
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DOI：
10.1177/1073858411403316
发表时间：
2012-06
期刊：
The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry
影响因子：
--
作者：
Andrews-Hanna JR
通讯作者：
Andrews-Hanna JR
影响因子：
25.8
作者：
Kaiser, Roselinde H.;Andrews-Hanna, Jessica R.;Wager, Tor D.;Pizzagalli, Diego A.
通讯作者：
Pizzagalli, Diego A.
DOI：
10.1001/jama.2017.3826
发表时间：
2017-04-18
期刊：
JAMA
影响因子：
--
作者：
Friedrich, M J
通讯作者：
Friedrich, M J
影响因子：
6.6
作者：
Chen, Yu;Wang, Chun;Zhong, Yuan
通讯作者：
Zhong, Yuan
影响因子：
25.8
作者：
Grisanzio, Katherine A.;Goldstein-Piekarski, Andrea N.;Williams, Leanne M.
通讯作者：
Williams, Leanne M.