• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

异常静息态 EEG 相位动力学可区分重度抑郁症和双相情感障碍。

Abnormal resting-state EEG phase dynamics distinguishes major depressive disorder and bipolar disorder.

机构信息

The Royal's Institute of Mental Health Research, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON K1Z 7K4, Canada; Research Group Neuroinformatics, Faculty of Computer Science, University of Vienna, 1010 Vienna, Austria; Vienna Doctoral School Cognition, Behavior and Neuroscience, University of Vienna, 1030 Vienna, Austria.

The Royal's Institute of Mental Health Research, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON K1Z 7K4, Canada.

出版信息

J Affect Disord. 2024 Aug 15;359:269-276. doi: 10.1016/j.jad.2024.05.095. Epub 2024 May 23.

DOI:10.1016/j.jad.2024.05.095
PMID:38795776
Abstract

Changes in EEG have been reported in both major depressive disorder (MDD) and bipolar disorder (BD). Specifically, power changes in EEG alpha and theta frequency bands during rest and task are known in both disorders. This leaves open whether there are changes in yet another component of the electrophysiological EEG signal, namely phase-related processes that may allow for distinguishing MDD and BD. For that purpose, we investigate EEG-based spontaneous phase in the resting state of MDD, BD and healthy controls. Our main findings show: (i) decreased spontaneous phase variability in frontal theta of both MDD and BD compared to HC; (ii) decreased spontaneous phase variability in central-parietal alpha in MDD compared to both BD and HC; (iii) increased delays or lags of alpha phase cycles in MDD (but not in BD), which (iv) correlate with the decreased phase variability in MDD. Together, we show similar (decreased frontal theta variability) and distinct (decreased central-parietal alpha variability with increased lags or delays) findings in the spontaneous phase dynamics of MDD and BD. This suggests potential relevance of theta and alpha phase dynamics in distinguishing MDD and BD in clinical differential-diagnosis.

摘要

脑电图中的变化在重度抑郁症(MDD)和双相情感障碍(BD)中均有报道。具体来说,在休息和任务期间,脑电图α和θ频段的功率变化在这两种疾病中均为已知。这使得另一个电生理 EEG 信号的组成部分是否发生变化成为未知数,即相位相关过程可能允许区分 MDD 和 BD。为此,我们研究了 MDD、BD 和健康对照组在静息状态下基于 EEG 的自发相位。我们的主要发现表明:(i)与 HC 相比,MDD 和 BD 的额部θ的自发相位变异性降低;(ii)与 BD 和 HC 相比,MDD 的中央-顶叶α的自发相位变异性降低;(iii)MDD 中的α相位周期的延迟或滞后增加(但在 BD 中没有),这与 MDD 中的相位变异性降低有关。总的来说,我们在 MDD 和 BD 的自发相位动力学中发现了相似的(额部θ变异性降低)和不同的(中央-顶叶α变异性降低与延迟或滞后增加)发现。这表明θ和α相位动力学在临床鉴别诊断中区分 MDD 和 BD 具有潜在的相关性。

相似文献

1
Abnormal resting-state EEG phase dynamics distinguishes major depressive disorder and bipolar disorder.异常静息态 EEG 相位动力学可区分重度抑郁症和双相情感障碍。
J Affect Disord. 2024 Aug 15;359:269-276. doi: 10.1016/j.jad.2024.05.095. Epub 2024 May 23.
2
Distinguishing major depressive disorder from bipolar disorder using alpha-band activity in resting-state electroencephalogram.利用静息态脑电图中的阿尔法波段活动区分重度抑郁症和双相情感障碍。
J Affect Disord. 2025 May 1;376:333-340. doi: 10.1016/j.jad.2025.02.032. Epub 2025 Feb 15.
3
Common and distinct neural activities in frontoparietal network in first-episode bipolar disorder and major depressive disorder: Preliminary findings from a follow-up resting state fMRI study.首发双相障碍与重性抑郁障碍患者额顶网络的共同和差异神经活动:一项随访静息态 fMRI 研究的初步发现。
J Affect Disord. 2020 Jan 1;260:653-659. doi: 10.1016/j.jad.2019.09.063. Epub 2019 Sep 12.
4
Electroencephalography-based endogenous phenotype of diagnostic transition from major depressive disorder to bipolar disorder.基于脑电图的从重度抑郁症到双相情感障碍的诊断转变的内表型。
Sci Rep. 2024 Sep 9;14(1):21045. doi: 10.1038/s41598-024-71287-5.
5
Visuospatial planning in unmedicated major depressive disorder and bipolar disorder: distinct and common neural correlates.未用药的重度抑郁症和双相情感障碍中的视觉空间规划:不同与共同的神经关联
Psychol Med. 2016 Aug;46(11):2313-28. doi: 10.1017/S0033291716000933. Epub 2016 May 20.
6
Distinct neuronal oscillatory responses between patients with bipolar and unipolar disorders: a magnetoencephalographic study.双相和单相障碍患者之间不同的神经元振荡反应:一项脑磁图研究。
J Affect Disord. 2010 Jun;123(1-3):270-5. doi: 10.1016/j.jad.2009.08.020. Epub 2009 Sep 15.
7
EEG power, cordance and coherence differences between unipolar and bipolar depression.单极和双极抑郁的脑电功率、协调和相干性差异。
J Affect Disord. 2015 Feb 1;172:184-90. doi: 10.1016/j.jad.2014.10.001. Epub 2014 Oct 12.
8
Resting electroencephalographic correlates of the clinical response to repetitive transcranial magnetic stimulation: A preliminary comparison between unipolar and bipolar depression.静息态脑电图与重复经颅磁刺激临床反应的相关性:单相和双相抑郁的初步比较。
J Affect Disord. 2015 Sep 1;183:15-21. doi: 10.1016/j.jad.2015.04.029. Epub 2015 Apr 24.
9
Altered resting-state brain activity in patients with major depression disorder and bipolar disorder: A regional homogeneity analysis.重度抑郁症和双相情感障碍患者静息态脑活动的改变:局部一致性分析。
J Affect Disord. 2025 Jun 15;379:313-322. doi: 10.1016/j.jad.2025.03.057. Epub 2025 Mar 11.
10
Local functional connectivity alterations in schizophrenia, bipolar disorder, and major depressive disorder.精神分裂症、双相情感障碍和重度抑郁症的局部功能连接改变。
J Affect Disord. 2018 Aug 15;236:266-273. doi: 10.1016/j.jad.2018.04.069. Epub 2018 Apr 10.

引用本文的文献

1
Beyond the label "major depressive disorder"-detailed characterization of study population matters for EEG-biomarker research.除了“重度抑郁症”这一标签之外,研究人群的详细特征描述对脑电图生物标志物研究至关重要。
Front Neurosci. 2025 Jun 17;19:1595221. doi: 10.3389/fnins.2025.1595221. eCollection 2025.
2
Beyond mood - depression as a speed disorder: biomarkers for abnormal slowness.超越情绪——作为一种速度障碍的抑郁症:异常迟缓的生物标志物。
J Psychiatry Neurosci. 2024 Oct 25;49(5):E357-E366. doi: 10.1503/jpn.240099. Print 2024 Sep-Oct.