Altered EEG Microstates Dynamics in Individuals with Subthreshold Depression When Generating Negative Future Events.

IF 2.3 3区 医学 Q3 CLINICAL NEUROLOGY Brain Topography Pub Date : 2024-01-01 Epub Date: 2023-10-09 DOI:10.1007/s10548-023-01011-5
Zhuoya Yang, Lei Xia, Yixiao Fu, Yingcan Zheng, Mengxue Zhao, Zhengzhi Feng, Chunmeng Shi
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Abstract

Negative bias in prospection may play a crucial role in driving and maintaining depression. Recent research suggests abnormal activation and functional connectivity in regions of the default mode network (DMN) during future event generation in depressed individuals. However, the neural dynamics during prospection in these individuals remain unknown. To capture network dynamics at high temporal resolution, we employed electroencephalogram (EEG) microstate analysis. We examined microstate properties during both positive and negative prospection in 35 individuals with subthreshold depression (SD) and 35 controls. We identified similar sets of four canonical microstates (A-D) across groups and conditions. Source analysis indicated that each microstate map partially overlapped with a subsystem of the DMN (A: verbal; B: visual-spatial; C: self-referential; and D: modulation). Notably, alterations in EEG microstates were primarily observed in negative prospection of individuals with SD. Specifically, when generating negative future events, the coverage, occurrence, and duration of microstate A increased, while the coverage and duration of microstates B and D decreased in the SD group compared to controls. Furthermore, we observed altered transitions, particularly involving microstate C, during negative prospection in the SD group. These altered dynamics suggest dysconnectivity between subsystems of the DMN during negative prospection in individuals with SD. In conclusion, we provide novel insights into the neural mechanisms of negative bias in depression. These alterations could serve as specific markers for depression and potential targets for future interventions.

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当产生负面的未来事件时,阈下抑郁症患者脑电微观状态变化的动力学。
前瞻性的负面偏见可能在驱动和维持抑郁症方面发挥着至关重要的作用。最近的研究表明,在抑郁个体的未来事件生成过程中,默认模式网络(DMN)区域的异常激活和功能连接。然而,这些个体在前瞻性研究期间的神经动力学仍然未知。为了以高时间分辨率捕捉网络动态,我们采用了脑电图(EEG)微观状态分析。我们检测了35名阈下抑郁症(SD)患者和35名对照组在阳性和阴性前瞻期间的微观状态特性。我们在不同的组和条件下确定了四个典型微观状态(A-D)的相似集合。来源分析表明,每个微观状态图都与DMN的一个子系统部分重叠(a:言语;B:视觉空间;C:自我参照;D:调节)。值得注意的是,脑电微观状态的变化主要在SD患者的负面前瞻中观察到。特别是,与对照组相比,当产生负面未来事件时,SD组微观状态A的覆盖率、发生率和持续时间增加,而微观状态B和D的覆盖率和持续期减少。此外,我们观察到SD组在消极前瞻期间发生了转变,特别是涉及微观状态C的转变。这些改变的动力学表明,在SD患者的负面前瞻过程中,DMN的子系统之间存在连接障碍。总之,我们为抑郁症负面偏见的神经机制提供了新的见解。这些改变可以作为抑郁症的特定标志物和未来干预的潜在目标。
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来源期刊
Brain Topography
Brain Topography 医学-临床神经学
CiteScore
4.70
自引率
7.40%
发文量
41
审稿时长
3 months
期刊介绍: Brain Topography publishes clinical and basic research on cognitive neuroscience and functional neurophysiology using the full range of imaging techniques including EEG, MEG, fMRI, TMS, diffusion imaging, spectroscopy, intracranial recordings, lesion studies, and related methods. Submissions combining multiple techniques are particularly encouraged, as well as reports of new and innovative methodologies.
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