4.6 Article

Task-positive and task-negative networks and their relation to depression: EEG beamformer analysis

期刊

BEHAVIOURAL BRAIN RESEARCH
卷 306, 期 -, 页码 160-169

出版社

ELSEVIER
DOI: 10.1016/j.bbr.2016.03.033

关键词

Depression; EEG; Resting-state networks; Default mode network; Beamformer; Functional connectivity

资金

  1. Russian Foundation for Basic Research (RFBR) [14-06-00039]
  2. Russian Science Foundation (RSF) [14-15-00202]
  3. Russian Science Foundation [14-15-00202] Funding Source: Russian Science Foundation

向作者/读者索取更多资源

Major Depressive Disorder (MDD) has been associated with predominance of the default-mode network (DMN) over the task-positive network (TPN), which is considered a neurobiological base for ruminative responding. It is not known whether this predominance is a signature of the full-blown MDD or it already exists at preclinical stages. Besides, all relevant evidence has been obtained using fMRI, which allows for a precise spatial characterization of resting state networks (RSNs), but their neural correlates remain elusive. Here we show that after leakage correction of beamformer-projected resting EEG time series, seed-based oscillatory-power envelope correlation analysis allows revealing RSNs with significant similarity to respective fMRI RSNs. In a non-clinical sample, depressive symptoms, as measured by the Beck Depression Inventory, are associated with predominance of DMN over TPN connectivity in the right insula and the right temporal lobe in the delta frequency band. These findings imply that in individuals with heightened level of depressive symptoms, emotional circuits are stronger connected with DMN than TPN and should be more easily engaged in self-referential rumination than in responding to environmental challenges. The study's findings are in agreement with fMRI evidence, thus confirming the neural base of the observed in fMRI research effects and showing that implicated in depression neural mechanism may already be in action even at preclinical stages. (C) 2016 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据