Altered coordination between frontal delta and parietal alpha networks underlies anhedonia and depressive rumination in major depressive disorder.

IF 4.1 2区 医学 Q2 NEUROSCIENCES
Zenas C Chao, Daniel G Dillon, Yi-Hung Liu, Elyssa M Barrick, Chien-Te Wu
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引用次数: 4

Abstract

Background: A hyperactive default mode network (DMN) has been observed in people with major depressive disorder (MDD), and weak DMN suppression has been linked to depressive symptoms. However, whether dysregulation of the DMN contributes to blunted positive emotional experience in people with MDD is unclear.

Methods: We recorded 128-channel electroencephalograms (EEGs) from 24 participants with MDD and 31 healthy controls in a resting state (RS) and an emotion-induction state (ES), in which participants engaged with emotionally positive pictures. We combined Granger causality analysis and data-driven decomposition to extract latent brain networks shared among states and groups, and we further evaluated their interactions across individuals.

Results: We extracted 2 subnetworks. Subnetwork 1 represented a delta (δ)-band (1~4 Hz) frontal network that was activated more in the ES than the RS (i.e., task-positive). Subnetwork 2 represented an alpha (α)-band (8~13 Hz) parietal network that was suppressed more in the ES than the RS (i.e., task-negative). These subnetworks were anticorrelated in both the healthy control and MDD groups, but with different sensitivities: for participants with MDD to achieve the same level of task-positive (subnetwork 1) activation as healthy controls, more suppression of task-negative (subnetwork 2) activation was necessary. Furthermore, the anticorrelation strength in participants with MDD correlated with the severity of 2 core MDD symptoms: anhedonia and rumination.

Limitations: The sample size was small.

Conclusion: Our findings revealed altered coordination between 2 functional networks in MDD and suggest that weak suppression of the task-negative α-band parietal network contributes to blunted positive emotional responses in adults with depression. The subnetworks identified here could be used for diagnosis or targeted for treatment in the future.

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前额三角洲和顶叶α网络之间的协调改变是重度抑郁症中快感缺乏和抑郁反刍的基础。
背景:在重度抑郁症(MDD)患者中观察到一个过度活跃的默认模式网络(DMN),并且DMN的弱抑制与抑郁症状有关。然而,DMN的失调是否导致了重度抑郁症患者积极情绪体验的减弱尚不清楚。方法:记录24名重度抑郁症患者和31名健康对照者在静息状态(RS)和情绪诱导状态(ES)下的128通道脑电图(eeg)。我们结合格兰杰因果分析和数据驱动分解来提取状态和群体之间共享的潜在大脑网络,并进一步评估它们在个体之间的相互作用。结果:我们提取了2个子网。子网络1代表一个δ (δ)波段(1~4 Hz)额叶网络,该网络在ES区比RS区更活跃(即任务正性)。子网络2为α (α)波段(8~13 Hz)顶叶网络,在ES区比RS区更受抑制(即任务负性)。这些子网在健康对照组和重度抑郁症组中均呈反相关,但具有不同的敏感性:重度抑郁症参与者要达到与健康对照组相同的任务阳性(子网1)激活水平,则需要更多地抑制任务负性(子网2)激活。此外,重度抑郁症参与者的反相关强度与两种核心重度抑郁症症状的严重程度相关:快感缺乏和反刍。局限性:样本量小。结论:我们的研究结果揭示了MDD中两个功能网络之间的协调改变,并提示任务负性α带顶叶网络的弱抑制导致成人抑郁症患者的积极情绪反应减弱。这里确定的子网络将来可以用于诊断或靶向治疗。
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来源期刊
CiteScore
6.80
自引率
2.30%
发文量
51
审稿时长
2 months
期刊介绍: The Journal of Psychiatry & Neuroscience publishes papers at the intersection of psychiatry and neuroscience that advance our understanding of the neural mechanisms involved in the etiology and treatment of psychiatric disorders. This includes studies on patients with psychiatric disorders, healthy humans, and experimental animals as well as studies in vitro. Original research articles, including clinical trials with a mechanistic component, and review papers will be considered.
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